Method for characterizing rheological properties of fluid composition

Abstract

The invention relates to the technical field of rheology, and particularly discloses a method for representing rheological properties of a fluid composition, the method comprises the following steps: pre-treating the fluid composition under a predetermined shear condition, the shear condition comprising M-dimensional controllable variables, and M being an integer greater than or equal to 2; performing a rheological test on the sheared fluid composition under a predetermined test condition to obtain rheological index data; obtaining an M-dimensional data matrix formed by at least four pieces of rheological index data to characterize the rheological properties of the fluid composition; wherein each piece of rheological index data corresponds to one shearing condition, one-dimensional N pieces of data in the M-dimensional data matrix correspond to N different shearing conditions, and the N different shearing conditions are formed by combining N different variable values of one-dimensional controllable variables and one variable value of each of other-dimensional controllable variables. According to the technical scheme, tiny differences in the fluid composition can be characterized.

Description

(19) State Intellectual Property Office (12) Invention Patent Application (10) Application Publication Number (43) Application Publication Date (21) Application Number 202411457547.4 (22) Application Date 2024.10.17 (71) Applicant ELC Management LLC Address 155, Walterville Lawn Road, New York, USA, Unit 345 South (72) Inventors Ye Lihui, Sun Yuekui, Wang Jiaping, Qiu Wenmei (74) Patent Agency Beijing Gewen Law Firm 16168 Patent Attorney Wang Xinhua, Liu Yu (51) Int.Cl. G01N 11 / 00 (2006.01) G01N 3 / 24 (2006.01) G01N 3 / 06 (2006.01) (54) Invention Title: Method for Characterizing the Rheological Properties of Fluid Compositions (57) Abstract: This disclosure relates to the field of rheology, specifically disclosing a method for characterizing the rheological properties of a fluid composition. The method includes: pretreating the fluid composition under predetermined shear conditions, wherein the shear conditions include M-dimensional controllable variables, where M is an integer greater than or equal to 2; performing rheological tests on the sheared fluid composition under predetermined test conditions to obtain rheological index data; acquiring an M-dimensional data matrix formed by at least four rheological index data to characterize the rheological properties of the fluid composition; wherein each rheological index data corresponds to a shear condition, and the one-dimensional N data in the M-dimensional data matrix correspond to N different shear conditions, wherein the N different shear conditions are formed by combining N different variable values ​​of one-dimensional controllable variables and one variable value of each of the other dimension controllable variables. This technical solution can characterize minute differences in the fluid composition. Claims 2 pages, Description 20 pages, Drawings 9 pages, CN 121877642 A 2026.04.17 CN 1 21 87 76 42 A 1. A method for characterizing the rheological properties of a fluid composition, comprising: pretreating the fluid composition under predetermined shear conditions, the shear conditions including M-dimensional controllable variables, wherein M is an integer greater than or equal to 2; performing rheological tests on the sheared fluid composition under predetermined test conditions to obtain rheological index data; acquiring an M-dimensional data matrix formed by at least four rheological index data to characterize the rheological properties of the fluid composition; wherein each rheological index data corresponds to a shear condition, the one-dimensional N data in the M-dimensional data matrix corresponds to N different shear conditions, the N different shear conditions are formed by combining N different variable values ​​of the one-dimensional controllable variable and one variable value of each of the other dimension controllable variables, wherein N is an integer greater than or equal to 2. 2. The method according to claim 1, characterized in that: the N different variable values ​​of one controllable variable in the N different shearing conditions are arranged in descending order or ascending order.The rheological index data in the M-dimensional data matrix are ordered according to the order of the corresponding controllable variables. 3. The method according to claim 1, wherein the shear conditions include at least two of the following controllable variables: temperature, humidity, shear rate, shear duration, water evaporation parameter, salinity, magnetic field parameter, electric field parameter, tensile displacement, tensile force, pressure, radial oscillation shear parameter, axial oscillation shear parameter, neutron radiation parameter, X-ray radiation parameter, ultraviolet radiation parameter, visible light radiation parameter, and the amount of chemical reagent added. 4. The method according to claim 3, wherein when the fluid composition is a personal care product, the shear conditions include shear rate and shear duration. 5. The method according to claim 3, wherein when the fluid composition is a food-grade fluid composition, the shear conditions include electric field parameter and shear rate. 6. The method according to claim 4, wherein when the fluid composition is a personal care product containing a material with photocatalytic properties, the shear conditions further include ultraviolet radiation and temperature. 7. The method according to claim 4, wherein when the fluid composition is a personal care product used above a predetermined temperature, the shear conditions further include temperature. 8. The method according to claim 3, wherein when the fluid composition is a fluid composition in the oil and gas field, the shearing conditions include temperature, pressure, and radiation parameters. 9. The method according to claim 3, wherein when the fluid composition is a personal care product, the shearing conditions include shearing duration, shearing rate, and electrolyte concentration. 10. The method according to claim 1, wherein performing a rheological test on the sheared fluid composition under predetermined test conditions to obtain rheological index data includes: starting timing after pretreatment of the fluid composition under predetermined shearing conditions for a predetermined duration, and then performing a rheological test under predetermined test conditions to obtain rheological index data. 11. The method according to claim 10, wherein the predetermined duration ranges from 0 to 10 seconds. 12. The method according to claim 1, wherein performing a rheological test under predetermined test conditions to obtain rheological index data includes: shearing the fluid composition at a preset shearing rate for a preset shearing duration, and measuring the rheological index data. 13. The method according to claim 12, wherein the preset shear rate ranges from 0.001 to 0.11 / s, and the preset shear duration ranges from 300 to 1800 s. 14. The method according to claim 12, wherein:The measurement of rheological index data includes: determining the average viscosity measured over a portion of the preset shear duration as the rheological index data, wherein the portion of the duration begins at a predetermined time within the preset shear duration and ends at the last time within the preset shear duration. 15. The method according to any one of claims 1-14, characterized in that the method further includes: converting the M-dimensional data matrix into an M-dimensional color grid based on the predetermined correspondence between data values ​​and color values ​​of the rheological index data; performing interpolation processing on the M-dimensional color grid using a predetermined interpolation method to convert the M-dimensional color grid into an M-dimensional pseudo-color image. 16. The method according to claim 15, characterized in that the method further includes: calculating the texture transformation index T according to the following formula: T = 1 - (Smin / Smax); where Smin is the minimum value among the at least four rheological index data, and Smax is the maximum value among the at least four rheological index data. 17. The method according to claim 15, characterized in that the method further comprises: calculating the texture transformation index T according to the following formula: T = 1 - (S_end / S_begin); wherein, S_begin is the rheological index data obtained under the first shear condition, S_end is the rheological index data obtained under the last shear condition, the variable values ​​of the M-dimensional controllable variables in the first shear condition are all the minimum values ​​among the variable values ​​of the controllable variables in this dimension, and the variable values ​​of the M-dimensional controllable variables in the last shear condition are all the maximum values ​​among the variable values ​​of the controllable variables in this dimension. 18. The method according to claim 15, characterized in that: when M is greater than or equal to 3, the M-dimensional pseudo-color image includes one or more three-dimensional pseudo-color images, the method further comprises: for a three-dimensional color image, determining the three-dimensional controllable variables corresponding to the three-dimensional pseudo-color image; selecting any two controllable variables from the three-dimensional controllable variables; extracting the two-dimensional pseudo-color images corresponding to the selected two controllable variables from the three-dimensional color image. 19. The method according to claim 15, characterized in that: the predetermined interpolation method includes any one of bicubic, bilinear, spline, nearest neighbor, Kriging, polynomial, centroid, radial Bass function, thin plate spline, piecewise linear, Fourier, etc. Claims 2 / 2 Page 3 CN 121877642 A Method for Characterizing the Rheological Properties of Fluid Compositions Technical Field

[0001] This disclosure generally relates to the field of rheology, and more specifically, to a method for characterizing the rheological properties of fluid compositions. Background Art

[0002] Rheology is the study of the flow and deformation of matter. Thixotropy is a specific rheological behavior, referring to the property of a material in its flow and deformation.The properties of viscosity under shear stress, which decreases over time and then gradually recovers over time after the shear stress is removed. Modern rheometers and viscometers are important tools for measuring the rheological properties of materials. These instruments can apply controlled shear rates or shear stresses to sample materials and measure their response, providing valuable data on viscosity, elasticity, and viscoelasticity. Advanced rheometers typically include software that allows for precise control of shear conditions and the collection of comprehensive datasets. This is crucial for understanding the behavior of sample materials under different application conditions.

[0003] For fluid compositions such as liquid personal care products, food, etc., the study of rheological properties plays a vital role in their development or optimization. For example, high-end creams and lotions can be easily spread during rubbing or brushing and return to a more viscous state after application. Understanding and controlling these properties allows formulators to create products that meet specific performance criteria, such as durability, smooth application, smudge resistance, or flowability.

[0004] The inventors have found that current thixotropic / rheological detection methods have limited capabilities in characterizing some complex fluid compositions, failing to adequately distinguish between different fluid compositions and failing to obtain meaningful rheological data to interpret the rheological properties of these fluid compositions. Summary of the Invention

[0005] To address the problems in the related art, embodiments of this disclosure provide a method for characterizing the rheological properties of fluid compositions.

[0006] According to one aspect of the present invention, an embodiment of the present disclosure provides a method for characterizing the rheological properties of a fluid composition, comprising:

[0007] pretreating the fluid composition under predetermined shear conditions, the shear conditions including M-dimensional controllable variables, wherein M is an integer greater than or equal to 2;

[0008] performing rheological tests on the sheared fluid composition under predetermined test conditions to obtain rheological index data;

[0009] obtaining an M-dimensional data matrix formed by at least four rheological index data to characterize the rheological properties of the fluid composition;

[0010] wherein each rheological index data corresponds to a shear condition, the one-dimensional N data in the M-dimensional data matrix corresponds to N different shear conditions, and the N different shear conditions are formed by combining N different variable values ​​of the one-dimensional controllable variable and one variable value of each of the other dimension controllable variables.

[0011] In one possible implementation, the N different variable values ​​of one controllable variable in the N different shearing conditions are sorted in descending or ascending order, and the rheological index data in the M-dimensional data matrix are sorted in the order of the corresponding controllable variables. Specification 1 / 20 page 4 CN 121877642 A

[0012] In one possible implementation, the shearing conditions include at least two controllable variables from the following controllable variables.Quantities: temperature, humidity, shear rate, shear duration, water evaporation parameters, salinity, magnetic field parameters, electric field parameters, tensile displacement, tensile force, pressure, radial oscillation shear parameters, axial oscillation shear parameters, neutron radiation parameters, X-ray radiation parameters, ultraviolet radiation parameters, visible light radiation parameters, and the amount of chemical reagents added.

[0013] In one possible embodiment, when the fluid composition is a personal care product, the shear conditions include shear rate and shear duration.

[0014] In one possible embodiment, when the fluid composition is a food-grade fluid composition, the shear conditions include electric field parameters and shear rate.

[0015] In one possible embodiment, when the fluid composition is a personal care product containing a material with photocatalytic properties, the shear conditions further include ultraviolet radiation and temperature.

[0016] In one possible embodiment, when the fluid composition is a personal care product used above a predetermined temperature, the shear conditions further include temperature.

[0017] In one possible embodiment, when the fluid composition is a fluid composition from the oil and gas industry, the shear conditions include temperature, pressure, and radiation parameters.

[0018] In one possible embodiment, when the fluid composition is a personal care product, the shearing conditions include shear duration, shear rate, and electrolyte concentration.

[0019] In one possible embodiment, the step of performing a rheological test on the sheared fluid composition under predetermined test conditions to obtain rheological index data includes:

[0020] Starting from the end of pretreatment of the fluid composition under predetermined shear conditions, after a predetermined time, performing a rheological test under predetermined test conditions to obtain rheological index data.

[0021] In one possible embodiment, the predetermined time ranges from 0 to 10 s.

[0022] In one possible embodiment, the step of performing a rheological test under predetermined test conditions to obtain rheological index data includes:

[0023] Shearing the fluid composition at a preset shear rate for a preset shear duration, and measuring the rheological index data.

[0024] In one possible embodiment, the preset shear rate ranges from 0.001 to 0.11 / s, and the preset shear duration ranges from 300 to 1800 s.

[0025] In one possible implementation, the measurement of rheological index data includes:

[0026] determining the average viscosity measured over a portion of the preset shear duration as the rheological index data, wherein the portion of the time begins at a predetermined moment within the preset shear duration and ends at the last moment within the preset shear duration.

[0027] In one possible implementation, the method further includes:

[0028] Based on the correspondence between the data values ​​and color values ​​of the predetermined rheological index data, the M-dimensional data matrix is ​​converted into an M-dimensional color grid;

[0029] The M-dimensional color grid is interpolated using a predetermined interpolation method to convert the M-dimensional color grid into an M-dimensional pseudo-color image.

[0030] In one possible embodiment, the method further includes:

[0031] Calculating the texture transformation index T according to the following formula:

[0032] T = 1 - (Smin / Smax); Specification 2 / 20 page 5 CN 121877642 A

[0033] Wherein, Smin is the minimum value among the at least four rheological index data, and Smax is the maximum value among the at least four rheological index data.

[0034] In one possible implementation, the method further includes:

[0035] Calculating the texture transformation index T according to the following formula:

[0036] T = 1 - (S_end / S_begin);

[0037] Wherein, S_begin is the rheological index data obtained under the first shear condition, S_end is the rheological index data obtained under the last shear condition, the variable values ​​of the M-dimensional controllable variables in the first shear condition are all the minimum values ​​among the variable values ​​of the controllable variables in this dimension, and the variable values ​​of the M-dimensional controllable variables in the last shear condition are all the maximum values ​​among the variable values ​​of the controllable variables in this dimension.

[0038] In one possible implementation, when M is greater than or equal to 3, the M-dimensional pseudo-color image includes one or more three-dimensional pseudo-color images, and the method further includes:

[0039] For a three-dimensional color image, determining the three-dimensional controllable variables corresponding to the three-dimensional pseudo-color image;

[0040] Selecting any two controllable variables from the three-dimensional controllable variables;

[0041] Extracting the two-dimensional pseudo-color images corresponding to the selected two controllable variables from the three-dimensional color image.

[0042] In one possible implementation, the predetermined interpolation method includes any one of the following: bicubic, bilinear, spline, nearest neighbor, kriging, polynomial, centroid, radial Bass function, thin plate spline, piecewise linear, Fourier, etc.

[0043] According to the technical solution provided in the embodiments of this disclosure, the shearing process when applying the fluid composition can be simulated by setting variable values ​​of two or more controllable variables. After simulating shearing, rheological tests are performed under predetermined test conditions to obtain rheological index data. In this way, index data that can characterize the structural changes of the material under shear and the immediate structural recovery after shearing can be obtained. By performing multi-dimensional shear condition test analysis on the fluid composition, the rich textural transformations exhibited by the fluid composition during use can be fully described. The rheological data measured using this method...The index data can capture the minute textural changes of a fluid composition under different usage conditions, and can effectively distinguish between different fluid compositions with slight differences in rheological properties.

[0044] The data matrix formed by the rheological index data can also be visualized, allowing for a more intuitive observation of the textural transformation process of the fluid composition during use.

[0045] The textural transformation index can also be calculated for comparison between fluid compositions.

[0046] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure. Brief Description of the Drawings

[0047] Other features, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the drawings:

[0048] FIG1 shows a flowchart of a method for characterizing the rheological properties of a fluid composition provided by an embodiment of the present disclosure.

[0049] Figure 2A shows a schematic diagram of the raw data measured by the rheometer provided in Example 1 of this disclosure;

[0050] Figure 2B shows a schematic diagram of the visualization process of the rheological index data provided in Example 1 of this disclosure;

[0051] Figure 3 shows a schematic diagram of the visualization process of the rheological index data provided in Example 2 of this disclosure;

[0052] Figure 4A shows a schematic diagram of the raw data measured by the rheometer provided in Example 3 of this disclosure; Specification 3 / 20 pages 6 CN 121877642 A

[0053] Figure 4B shows a schematic diagram of the visualization process of the rheological index data provided in Example 3 of this disclosure;

[0054] Figure 5A shows a schematic diagram of the raw data measured by the rheometer provided in Example 4 of this disclosure;

[0055] Figure 5B shows a schematic diagram of the visualization process of the rheological index data provided in Example 4 of this disclosure;

[0056] Figure 6A shows a schematic diagram of the color grid for rheological index data conversion provided in Example 5 of this disclosure;

[0057] Figure 6B shows a schematic diagram of the stacked three-dimensional color grid provided in Example 5 of this disclosure;

[0058] Figure 7A shows a schematic diagram of test data provided by a prior art test method;

[0059] Figure 7B shows a schematic diagram of test data provided by a prior art test method;

[0060] Figure 8 shows a schematic diagram of test data provided by a prior art test method;

[0061] Figure 9A shows a schematic diagram of the raw data measured by the rheometer provided in Example 6 of this disclosure;

[0062] Figure 9B shows a schematic diagram of the visualization process of rheological index data provided in Example 6 of this disclosure. Detailed Description

[0063] Hereinafter, exemplary embodiments of this disclosure will be described in detail with reference to the accompanying drawings to enable those skilled in the art to readily implement them. Furthermore, for clarity, parts unrelated to the description of exemplary embodiments have been omitted from the drawings.

[0064] In this disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, figures, steps, behaviors, components, portions or combinations thereof disclosed in this specification, and are not intended to exclude the possibility of the presence or addition of one or more other features, figures, steps, behaviors, components, portions or combinations thereof.

[0065] It should also be noted that, without conflict, the embodiments and features in the embodiments of this disclosure can be combined with each other. The disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0066] Glossary: ​​

[0067] Fluid composition: includes non-Newtonian fluid compositions and Newtonian fluid compositions, wherein a fluid in which the shear stress at any point is linearly related to the shear deformation rate is called a Newtonian fluid, such as water, alcohol and most pure liquids, light oils and low molecular weight compound solutions, etc. are Newtonian fluids; fluids that do not meet the Newtonian fluid standard are called non-Newtonian fluids, such as petroleum, toothpaste, lotion, face cream, shampoo, concentrated solutions and suspensions of polymers, etc. are non-Newtonian fluids.

[0068] Personal care products: include various care products for beautifying, preserving or altering an individual's appearance, including facial care products such as facial cleansers, makeup removers, lotions, creams, cosmetics, makeup, loose powder, etc.; body care products such as hand soap, shampoo, sunscreen, hair removal cream, body lotion, hand cream, antifreeze cream, etc.; and oral care products such as toothpaste, oral hygiene solution, etc.

[0069] Shear conditions: refer to the shear conditions when the fluid composition is pretreated before rheological testing. The shear conditions include at least two controllable variables. These controllable variables can be any relevant variables that can cause a change in the texture of the fluid composition, such as shear duration, shear rate, shear temperature, shear strain, radiation parameters, environmental pressure, tensile force, changes in electrolyte concentration, magnetic field strength, electric field strength, etc.

[0070] Figure 1 shows a flowchart of a method for characterizing the rheological properties of a fluid composition provided in an embodiment of this disclosure. As shown in Figure 1, the method includes the following steps S101-S103:

[0071] In step S101, the fluid composition is pretreated under predetermined shear conditions, wherein the shear conditions include an M-dimensional controllable variable, where M is an integer greater than or equal to 2;

[0072] In step S102, for the sheared fluid composition, rheological testing is performed under predetermined test conditions to obtain rheological index data; Specification 4 / 20 pages 7 CN 121877642 A

[0073] In step S103, an M-dimensional data matrix formed by at least four rheological index data is obtained to characterize the rheological properties of the fluid composition.

[0074] In one possible implementation, the characterization method provided in this embodiment is mainly used for characterizing the rheological properties of the fluid composition.The fluid composition can be characterized by its properties. It can be a fluid composition from various fields such as personal care products, oil and gas, and food. The fluid composition can be a liquid, colloid, semi-solid, or other non-solid composition.

[0075] In one possible embodiment, the controllable variable in the shear condition can be any relevant variable that can cause a change in the texture of the fluid composition. The shear condition includes M-dimensional controllable variables. Different values ​​of the controllable variables can constitute different shear conditions. The fluid composition can be pretreated using a rheometer under a predetermined shear condition, and then immediately subjected to rheological testing under predetermined test conditions to obtain rheological index data measured by the rheometer, thereby characterizing the material properties of the fluid composition due to the applied shear impact. The use process of the fluid composition is simulated by setting predetermined shear conditions, and the rheological index data obtained from subsequent rheological tests characterizes the texture change of the fluid composition during use and its immediate texture recovery after use. The rheological index data can be any data that can characterize the structural change of the fluid composition under shear and the structural recovery after shear removal.

[0076] In one possible implementation, an M-dimensional data matrix formed by at least four rheological index data can be used to characterize the rheological properties of the fluid composition. Each shear condition corresponds to a rheological index data obtained by testing. The one-dimensional N data in the M-dimensional data matrix corresponds to N different shear conditions. The N different shear conditions are formed by combining N different variable values ​​of one-dimensional controllable variable and one variable value of each of the other dimension controllable variables.

[0077] For example, the shearing condition can be an M=2 dimensional controllable variable. Let these two dimensional controllable variables be denoted as controllable variable 1 and controllable variable 2. A variable value of controllable variable 1 and a variable value of controllable variable 2 can form a shearing condition. Assuming that controllable variable 1 has a different variable value and controllable variable 2 has b different variable values ​​(a and b are both integers greater than or equal to 2), they can be combined to form a×b shearing conditions. By traversing these a×b shearing conditions, a×b rheological index data can be obtained. These a×b rheological index data can form an M=2 dimensional data matrix. The M=2 dimensional data matrix is ​​a matrix of size a×b. The M=2 dimensional data matrix of size a×b can be shown in Table 1 below:

[0078] y1 yb x1 S1 ...... Sb ...... ...... ...... ...... Xa Sb(a-1)+1 ...... Sa×b

[0079] Table 1

[0080] As shown in Table 1 above, controllable variable 1 has a different variable value x1...xa, and controllable variable 2 has b different variable values ​​y1...yb. The different combinations of variable values ​​for these two dimensions of controllable variables can be obtained as shown in Table 1.Given a×b different shearing conditions, the fluid composition can be sheared under shearing conditions x1 and y1 in the order shown in Table 1. Then, a rheological index data S1 can be obtained by performing a rheological test on the sheared fluid composition under predetermined conditions. Continuing to shear the fluid composition under shearing conditions x1 and y2, another rheological index data S2 can be obtained by performing a rheological test on the sheared fluid composition under predetermined conditions. This process yields the rheological index data S1…Sb in the first row of Table 1. Then, by changing the shearing conditions, the rheological index data in the second row of Table 1 can be obtained. This process is repeated row by row to obtain a×b rheological index data S1…Sa×b, presented as a two-dimensional data matrix as shown in Table 1. In this two-dimensional data matrix, a column or a row of data is a one-dimensional data item. For the first column of one-dimensional data, there are N = a shearing conditions corresponding to the N = a data points in this one-dimensional data. These N = a shearing conditions are formed by combining N = a different variable values ​​x1...xa of controllable variable 1 and a variable value y1 of controllable variable 2. For the first row of one-dimensional data, there are AN = b shearing conditions corresponding to the N = b data points in this one-dimensional data. These N = b shearing conditions are formed by combining N = b different variable values ​​y1...yb of controllable variable 2 and a variable value x1 of controllable variable 1.

[0081] Alternatively, for example, the shearing condition can be M = 3 controllable variables. These three controllable variables are denoted as controllable variable 1, controllable variable 2, and controllable variable 3. A variable value of controllable variable 1, a variable value of controllable variable 2, and a variable value of controllable variable 3 can form a shearing condition. Assuming that controllable variable 1 corresponds to e different variable values, controllable variable 2 corresponds to d different variable values, and controllable variable 3 corresponds to f different variable values ​​(e, d, and f are all integers greater than or equal to 2), they can be combined to form e × d × f shearing conditions. After shearing the fluid composition under a certain shearing condition among the e × d × f shearing conditions, a rheological index data can be obtained by performing rheological testing using a rheometer. By traversing the e × d × f shearing conditions... ×f shearing conditions can be used to test e×d×f rheological index data. These e×d×f rheological index data can form an M=3-dimensional data matrix. This M=3-dimensional data matrix is ​​a three-dimensional matrix of size e×d×f. The M=3-dimensional data matrix of size e×d×f can be shown in Table 2 below:

[0082]

[0083] Table 2

[0084] As shown in Table 2 above, the controllable variable 1 corresponds to e different variable values ​​x1……xe, the controllable variable 2 corresponds to d different variable values ​​y1……yd, and the controllable variable 3 corresponds to f different variable values ​​z1……zf. The different combinations of variable values ​​of these three dimensions of controllable variables can obtain the e×d×f different shearing conditions shown in Table 2, and thus canThe test yielded e×d×f rheological index data S1……Se×d×f, presented as a three-dimensional data matrix as shown in Table 2. Each column of data in Table 2 represents a one-dimensional data item within this three-dimensional data matrix. For the first column of one-dimensional data, the N = e data points correspond to N = e shearing conditions. These N = e shearing conditions are formed by combining N = e different variable values ​​x1……xe of controllable variable 1 with a variable value y1 of controllable variable 2 and a variable value z1 of controllable variable 3. Each row of data in Table 2 corresponds to the same variable value of controllable variable 3 and represents a one-dimensional data item within this three-dimensional data matrix. For the one-dimensional data (S1……Sd) corresponding to z1 in the first row of Table 2, the N = d data points correspond to N = d shearing conditions. These N = d shearing conditions include combinations of a variable value x1 of controllable variable 1 and a variable value z1 of controllable variable 3 with N = d different variable values ​​y1……yd of controllable variable 2.

[0085] Of course, in addition to the cases of M=2 or M=3 in the above examples, the value of M can also be 4, 5, 6, etc. When M is 4, a four-dimensional data matrix can be obtained to characterize the rheological properties of the fluid composition. This four-dimensional data matrix can be represented by multiple three-dimensional data matrices, which will not be illustrated here.

[0086] In one possible implementation, in order to better present the data, the N different shear conditions corresponding to the N data in the one-dimensional N data in the M-dimensional data matrix, and the N different variable values ​​of one controllable variable in the N different shear conditions can be sorted in descending or ascending order. At the same time, the rheological index data in the M-dimensional data matrix are sorted in the order of the corresponding controllable variables.

[0087] Taking Table 1 above as an example, controllable variable 1 corresponds to a different variable values ​​from smallest to largest, x1...xa, and controllable variable 2 corresponds to b different variable values ​​from smallest to largest, y1...yb. Thus, the order of rheological index data in the obtained two-dimensional data matrix is ​​shown in Table 1. From left to right, the controllable variable 2 corresponding to the rheological index data gradually increases, and from top to bottom, the controllable variable 1 corresponding to the rheological index data gradually increases. Such an M-dimensional data matrix with sorting rules allows researchers to more clearly understand the changes in the rheological properties of the fluid composition under the gradual changes of the corresponding controllable variables.

[0088] In one possible embodiment, the shearing conditions include at least two of the following parameters: temperature, humidity, shear rate, shear duration, water evaporation parameters, salinity, magnetic field parameters (such as magnetic field strength), electric field parameters (such as electric field strength), tensile displacement, tensile force, pressure, radial oscillation shear parameters (such as oscillation period, amplitude, etc.), and axial oscillation.Shear parameters, neutron radiation parameters (such as radiation intensity), X-ray radiation parameters, ultraviolet radiation parameters, visible light radiation parameters, and the amount of chemical reagents added (such as electrolyte concentration).

[0089] In this embodiment, based on the material properties of the fluid composition or the application protocol of the fluid composition, two or more parameters can be selected from the above parameters as two or more dimensions to map the rheological properties of the fluid composition when it is used.

[0090] Of course, the control variables in the shear conditions are not limited to the above parameters, and will not be listed one by one here.

[0091] In one possible embodiment, the shear conditions may include two controllable variables of the above parameters.

[0092] In one possible embodiment, when the fluid composition is a personal care product, the two controllable variables are shear rate and shear duration.

[0093] Here, the controllable variables of shear rate and shear duration are the most typical adjustment parameters affecting the structural transformation of personal care products. Therefore, the usage behavior of ordinary users can be simulated by controlling the changes in the variable values ​​of the two controllable variables. For example, by applying different shear rates × different shear durations, the consumer's application action can be imitated. In this way, after the fluid composition is sheared under shear conditions, the rheological index data obtained by rheological testing using a rheometer can well characterize the structural changes of the personal care product fluid composition during use and the immediate structural recovery after use. In the data matrix formed by the shear conditions created by these two controllable variables, as the variable values ​​of these two controllable variables increase from left to right and from top to bottom, respectively, the amount of shearing experienced by the personal care product increases with the shearing motion of the rheometer.

[0094] In one possible embodiment, when the fluid composition is a food-type fluid composition, the two controllable variables are the electric field parameter and the shear rate.

[0095] Here, research has found that electrorheology (ER) can improve food processing. For example, electrorheology technology can be used to process healthier and more delicious chocolate. By combining ER with high shear rates, the processability of chocolate can be explored under conditions close to the maximum random blockage density, which solves the historical limitations of low-fat chocolate production. The inventors have found that the performance of chocolate samples can be characterized by testing rheological parameters such as viscosity after shearing under different shear rates and electric field combinations, thereby constructing a profile of the viscosity of chocolate processed under these processing conditions to produce more delicious chocolate. Since the above tests can be easily performed using a rheometer, there is no longer a need to build expensive equipment for experimental production purposes.

[0096] In one possible embodiment, the fluid composition is a mixture containing a material with photocatalytic properties.In the case of personal care products, the shear conditions, in addition to shear rate and shear duration, may also include ultraviolet radiation and temperature.

[0097] Here, in the personal care industry, some products containing materials with photocatalytic properties are degraded by UV (Ultraviolet) exposure. For example, TiO2 (titanium dioxide) is commonly used in personal care products to achieve skin tone adjustment or provide sun protection; however, TiO2 is a photocatalyst when exposed to UV light (including UV from sunlight). TiO2 can absorb UV light and generate electron-hole pairs, and the generated electrons and holes can migrate to the surface of TiO2 particles, where they can react with water and oxygen to form reactive oxygen species (ROS), such as hydroxyl radicals and superoxide anions. These ROS are very active and can cause oxidative damage. While generally considered safe if properly formulated, it is desirable for personal care formulators to test the interaction between formulations containing photocatalytically active materials and UV exposure and high temperatures to simulate sun exposure when the personal care product is applied to the skin. During testing, shear conditions constructed with different shear rates and durations, different UV doses, and different temperatures can be applied to an epidermal model, and the modulus of the epidermal model can be monitored and extracted as rheological index data, since viscosity cannot be measured for non-flowing samples; however, if only the formulation sample is tested instead of the epidermal model, viscosity can be measured as rheological index data, as in other examples. The safety and stability of new raw materials containing photocatalytically active materials or new sunscreen personal care products can be evaluated in this way.

[0098] In one possible embodiment, when the fluid composition is a personal care product to be used above a predetermined temperature, the shear conditions are shear rate and temperature.

[0099] Here, some personal care products are not sensitive to shear duration, but their application involves heating processes. For example, shampoos are typically used in the high-temperature environment of a shower, and UV protection products are typically used under sunlight exposure. In this case, shear rate and temperature can be chosen as two dimensions to map the rheological properties of these personal care products that need to be used above a predetermined temperature. Of course, in other possible implementations, some personal care products are sensitive to shear duration and also involve heating processes during use. In this case, the shear condition can also be shear rate, shear duration, and temperature.

[0100] In one possible implementation, the shear condition can include parameters of three dimensions mentioned above.

[0101] In one possible implementation, when the fluid composition is a fluid composition from the oil and gas industry, the three-dimensional controllable variables are temperature, pressure, and radiation parameters.

[0102] Here, in the field of enhanced oil recovery (EOR), polymer and / or surfactant injection is commonly used to alter the environment in oil-bearing rocks / sand layers in the hope of developing polymer / surfactant mixtures that can withstand the subsurface environment. Typically in deep reservoirs, temperature and pressure increase with depth, and radiation levels may increase due to the presence of various naturally occurring radioactive materials (NORMs) in the crust, some of the most common including uranium, thorium, and their decay products such as radium and radon. Temperature, pressure, and radiation can adversely affect the performance of polymers / surfactants. Therefore, using the methods provided in this disclosure, the effects of different temperatures, pressures, and radiation can be studied in a controlled laboratory environment to understand the rheological behavior of polymer / surfactant mixtures under subsurface conditions, without the need for costly field testing in actual production environments.

[0103] In one possible embodiment, when the fluid composition is a personal care product, the three-dimensional controllable variables are shear duration, shear rate, and electrolyte concentration.

[0104] Here, personal care products mix with electrolytes such as sweat from the user's skin during use, so shear rate, shear duration, and electrolyte concentration can be selected as three dimensions to map the rheological properties of the personal care product during use.

[0105] In one possible embodiment, the step of performing a rheological test on the fluid composition after shearing under predetermined test conditions to obtain rheological index data includes:

[0106] Starting from the end of the pretreatment of the fluid composition under predetermined shear conditions, after a predetermined time, performing a rheological test under predetermined test conditions to obtain rheological index data.

[0107] In this embodiment, since the test provided in this disclosure mainly identifies the performance of the fluid composition immediately after the shear deformation step, the timing can start from the end of the pretreatment of the fluid composition under predetermined shear conditions, and the rheological test needs to be performed immediately after a very short predetermined time, the value of which is in the range of 0-10s.

[0108] In one possible embodiment, the step of performing rheological testing under predetermined test conditions to obtain rheological index data includes:

[0109] subjecting the fluid composition to shearing at a preset shear rate for a preset shear duration, and measuring the rheological index data.

[0110] In this embodiment, the preset shear rate during the rheological test needs to be very low to ensure that the fluid composition can complete an instantaneous recovery, and its value range includes 0.001-0.11 / s. The preset shear duration needs to allow the fluid composition to complete an instantaneous recovery and reach the measurement platform. After the fluid composition reaches the measurement platform, the fluid composition needs to...The rheological properties to be measured have reached a steady state, and the preset shear duration ranges from 300 to 1800 s.

[0111] In one possible embodiment, the measurement to obtain rheological index data includes:

[0112] determining the average viscosity measured over a portion of the preset shear duration as the rheological index data, wherein the portion of the time begins at a predetermined moment within the preset shear duration and ends at the last moment within the preset shear duration.

[0113] In this embodiment, the rheological test is used to generate a rheological index data to represent the properties of the fluid composition, the final shear viscosity, and the final yield stress, and the rheological index data can be selected based on direct observation or by model fitting. Preferably, the rheological index data can be viscosity. In other embodiments, if viscosity cannot be tested, modulus (such as shear modulus, Young's modulus, compression modulus) can be used as the rheological index data.

[0114] In this embodiment, during rheological testing, the fluid composition can be sheared at a preset shear rate for a preset shear duration, and the viscosity of the fluid composition within the preset shear duration can be monitored. The average viscosity for a portion of the preset shear duration is used as the measured rheological index data. This portion of the time starts from a predetermined moment within the preset shear duration and ends at the last moment within the preset shear duration. For example, the average viscosity from the middle moment within the preset shear duration to the last moment within the preset shear duration, i.e., the latter half of the preset shear duration, can be used as the measured rheological index data.

[0115] In one possible embodiment, the method further includes:

[0116] Converting the M-dimensional data matrix into an M-dimensional color grid based on the correspondence between the data values ​​and color values ​​of the predetermined rheological index data;

[0117] Performing interpolation processing on the M-dimensional color grid using an interpolation method to convert the M-dimensional color grid into an M-dimensional pseudo-color image.

[0118] In this embodiment, in order to see the test results more intuitively, the texture transformation represented by the M-dimensional data matrix can be visualized. Since the M-dimensional data matrix is ​​a two-dimensional or multi-dimensional matrix containing at least four rheological index data, it is usually not feasible to assign values ​​to the texture transformation based on numerical comparison when visualizing the M-dimensional data matrix. Moreover, the texture transformation changes based on the change of the M-dimensional controllable variables. Therefore, a pseudo-color image can be used to better visualize the texture transformation process.

[0119] In this embodiment, when visualizing the M-dimensional data matrix, the correspondence between the data values ​​and color values ​​of the rheological index data can be defined first. For example, the data range of the rheological index data corresponding to color value 1 can be defined.The data range of the rheological index data corresponding to color value 2 is (S11, S12], and so on. Alternatively, a color scale can be defined, and the colors at both ends of the color scale can be used to represent the maximum and minimum values ​​of the rheological index data. The data range of the entire rheological index data corresponding to the defined color value range can exceed or include the range of rheological index data values ​​in the above-mentioned M-dimensional data matrix. By querying the correspondence between the data values ​​and color values ​​of the predetermined rheological index data, the color values ​​corresponding to each rheological index data in the M-dimensional data matrix can be determined, and the M-dimensional data matrix can be converted into an M-dimensional color grid, where the color value of each color grid represents a rheological index data. Then, the M-dimensional color grid can be converted into an M-dimensional pseudo-color image by using an interpolation method.

[0120] In this embodiment, after converting the data in the M-dimensional data matrix into an M-dimensional pseudo-color image, the M-dimensional pseudo-color image can be displayed to consumers. For example, the M-dimensional pseudo-color image corresponding to the product can be displayed in the relevant product introduction section of the product website or shopping platform so that consumers can understand the specific situation of the product.

[0121] In one possible implementation, the above-mentioned interpolation method may include any one of the following: bicubic, bilinear, spline, nearest neighbor, kriging, polynomial, centroid, radial Bass function, thin plate spline, piecewise linear, Fourier, etc.

[0122] This embodiment can convert an M-dimensional data matrix into an M-dimensional pseudo-color image, thus simplifying complex M-dimensional rheological index data into a single M-dimensional pseudo-color image, making it easy to identify the texture transformation process of the fluid composition during use.

[0123] In one possible implementation, when M is greater than or equal to 3, the M-dimensional pseudo-color image includes one or more three-dimensional pseudo-color images, and the method further includes:

[0124] For a three-dimensional color image, determining the three-dimensional controllable variables corresponding to the three-dimensional pseudo-color image;

[0125] Selecting any two controllable variables from the three-dimensional controllable variables;

[0126] Extracting the two-dimensional pseudo-color images corresponding to the selected two controllable variables from the three-dimensional color image.

[0127] In this embodiment, when M equals 3, a third dimension can be added to the two-dimensional pseudo-color image using stacking technology to obtain a three-dimensional pseudo-color image. When M is greater than or equal to 4, two or more three-dimensional pseudo-color images can be used to represent a 4-dimensional data matrix.

[0128] In this embodiment, assuming M equals 3, a three-dimensional color image is obtained, and the three-dimensional controllable variables corresponding to the three-dimensional pseudo-color image are determined to be controllable variable 1, controllable variable 2, and controllable variable 3, respectively; any two controllable variables, such as controllable variable 1 and controllable variable 2, are selected from the three-dimensional controllable variables; the three two-dimensional pseudo-color images of the three-dimensional color image can be used to obtain a three-dimensional pseudo-color image.Two-dimensional pseudo-color images corresponding to two controllable variables (controllable variable 1 and controllable variable 2) are extracted. Thus, even though the combination of these two controllable variables is not specifically tested during the data generation phase, two-dimensional pseudo-color images corresponding to these two controllable variables can still be obtained from the high-dimensional color image, achieving compatibility between high-dimensional and two-dimensional testing.

[0129] In one possible implementation, the method further includes:

[0130] Calculating the texture transformation index T according to the following formula:

[0131] T = 1 - (Smin / Smax);

[0132] Wherein, Smin is the minimum value among the at least four rheological index data, and Smax is the maximum value among the at least four rheological index data.

[0133] In this implementation, in some scenarios, especially in production environments, dozens of samples can be generated, and pseudo-color images corresponding to these dozens of samples can be obtained. This situation requires a more refined index to provide a comparison for these transformed pseudo-color images. Therefore, this embodiment proposes a new parameter to further simplify the changes in the pseudo-color image to a single parameter, namely the texture conversion index T.

[0134] In this embodiment, T = 1 - (Smin / Smax), and the texture conversion index T represents the reduction in rheological index data from the start of the first shear condition to the end of the last shear condition during the analysis and testing process. In particular, when using shear rate and shear duration as shear conditions, T can represent the logical structure change caused by the shear energy input during the application of personal care products. By calculation, the parameter T can be used to represent the degree of texture change, accompanied by the pseudo-color image.

[0135] In other embodiments, the texture transformation index T can also be calculated using the following formula: T = 1 - (Send / Sinitial), where Sinitial is the rheological index data obtained under the first shear condition (i.e., the maximum value among at least four rheological index data), and Send is the rheological index data obtained under the last shear condition (the minimum value among at least four rheological index data). Here, in the first shear condition, the variable values ​​of the M-dimensional controllable variables are all the minimum values ​​among the variable values ​​of the controllable variables in this dimension. As the test progresses, the variable values ​​of the M-dimensional controllable variables gradually increase. In the last shear condition, the variable values ​​of the M-dimensional controllable variables are all the maximum values ​​among the variable values ​​of the controllable variables in this dimension.

[0136] In other possible embodiments, when M is greater than or equal to 3, the number of dimensions used can be reduced when calculating T. For example, any two dimensions of controllable variables can be selected from the multidimensional data, and the rheological index corresponding to all shear conditions when the variable values ​​of the selected two dimensions of controllable variables change and the variable values ​​of the other dimensions of controllable variables remain fixed can be obtained.The data is labeled, and T = 1 - (Smin / Smax) is calculated. Here, Smin is the minimum value of the rheological index data corresponding to all shear conditions, and Smax is the maximum value of the rheological index data corresponding to all shear conditions.

[0137] The method for characterizing the rheological properties of fluid compositions provided in this disclosure can effectively characterize the rich textural changes exhibited by the fluid composition during use, effectively capture the small textural differences of the fluid composition under different use conditions, and distinguish the textural differences between different fluid compositions. However, traditional methods cannot effectively characterize many fluid compositions. The following uses several examples and comparative examples to illustrate this.

[0138] Example 1:

[0139] The fluid composition to be tested is personal care product 1. The shear conditions include two-dimensional controllable variables: shear duration and shear rate. Each dimension of the controllable variable has 3 different variable values. Under the combination of 3 different shear rates and 3 different shear durations, a total of 3×3 = 9 different shear histories are experienced, and finally a two-dimensional 3×3 data matrix is ​​generated. The interpolation method used for visualization is bicubic interpolation. In this example, the two-dimensional controllable variable is used to simulate the behavior of a regular user. The user's motion of applying personal care products is simulated by applying different shear rates multiplied by different shear durations.

[0140] Here, the three different shear rates are 20 l / s, 200 l / s, and 2000 l / s, and the three different shear durations are 10 s, 30 s, and 60 s. The specific test process is as follows:

[0141] In the first step, a shearing step is performed to apply a first shear rate of 20 l / s for 10 seconds, and then a rheological test step is performed to measure the shear stress of the personal care product 1 at a shear rate of 0.1 l / s for 600 seconds; then, a shearing step is performed again to further shear the personal care product 1 at a rate of 20 l / s for 30 seconds, and then a rheological test step is performed to measure the shear stress of the product 1 at a shear rate of 0.1 l / s for 600 seconds, and then a shearing step is performed again to shear the personal care product 1 at a rate of 20 l / s for 60 seconds, and then a rheological test step is performed to measure the shear stress at a rate of 0.1 l / s for 600 seconds. In each shearing step (20 l / s), viscosity is not used for analysis, and shear stress is collected in each rheological test step. Thus, the viscosity is calculated from the shear stress collected in the measurement steps. In this example, the average viscosity value of the last 300s in each rheological test step can be used as rheological index data to represent the yield strength of personal care product 1 after shearing. The second and third steps follow the same method as in the first step, except that the shear rate when performing the shearing step is increased to the second shear rate of 2001 / s and the third shear rate of 20001 / s, respectively.

[0142] The raw data measured by the rheometer during the above tests are shown in Figure 2A. In Figure 2A, the horizontal axis represents time, and the vertical axis represents viscosity. The blue data represents the viscosity measured in the first step at a shear rate of 201 L / s and shear times of 10 s, 30 s, and 60 s. The green data represents the viscosity measured in the second step at a shear rate of 2001 L / s and shear times of 10 s, 30 s, and 60 s. The red data represents the viscosity measured in the second step at a shear rate of 20001 L / s and shear times of 10 s, 30 s, and 60 s. Based on this, the annual average value 300 s after each rheological test step can be calculated as the rheological index data, resulting in a 3×3 data matrix. The 3×3 data matrix is ​​a direct result of the rheological test under 2D controllable variables. Therefore, the 3×3 2D data matrix can be listed in the following table:

[0143] 201 / s 2001 / s 20001 / s 10s 294 251 201 30s 281 206 147 60s 245 173 78

[0144] Table 3

[0145] When visualizing the above 2D data matrix, a divergent color scale is defined. Dark red is used to represent the maximum viscosity of 500 cP, dark blue is used to represent the minimum viscosity of 0 cP, and white is used to represent the average value of 250 cP, as shown in Figure 2B. The color scale is displayed on the right side of the figure. The data matrix can be converted into a color grid as shown in the left figure of Figure 2B. By performing bicubic interpolation on the original data in the data matrix, the color grid is converted into a pseudo-color image as shown in the right figure of Figure 2B.

[0146] Meanwhile, the texture transition index T corresponding to the pseudo-color image was calculated as T = 1 - (Smin / Smax) = 1 - (78 / 294) = 73%.

[0147] The parameters of the transformation from high viscosity to low viscosity and the degree of change of personal care product 1 during the test are consistent with the texture assessment of trained experts. Thus, the viscosity of the test can well capture the small changes in the rheological properties of personal care product 1 during different user experiences.

[0148] It should be noted that when testing with multiple shear conditions, multiple tests of certain control variables (especially shear duration) can be performed continuously. For example, a control variable can be fixed, and multiple tests with different shear durations can be performed continuously, as shown in Figure 2A. Multiple tests with a shear rate of 201 / s and shear durations of 10s, 30s, and 60s are performed continuously in time. Of course, in other instances, each test can also be performed completely independently of other tests. An M-dimensional data matrix can be formed by performing some tests consecutively as shown in Figure 2A, or by executing all tests individually.

[0149] Example 2:

[0150] The fluid composition to be tested is personal care product 2. The shear conditions include two-dimensional controllable variables: shear duration and shear rate. Unlike Example 1, it has 3 shear rates and 5 shear durations. Under the combination of 3 different shear rates and 5 different shear durations, a total of 3×5=15 different shear histories were experienced, and finally a two-dimensional 3×5 data matrix was generated. Spline interpolation was used for visualization. In this example, the number of variable values ​​of the two-dimensional controllable variables is different.

[0151] Here, the 3 different shear rates are 201 / s, 2001 / s and 20001 / s, and the 3 different shear durations are 10s, 40s, 160s, 460s and 1060s. The specific test process is the same as in Example 1, except that the values ​​of shear rate and shear duration are different, and the number of shear histories experienced is different. The rheological index data (i.e., average viscosity) obtained in this way forms a 3×5 data matrix as shown in the table below: Instruction Manual 12 / 20 Page 15 CN 121877642 A

[0152] 20 L / s 200 L / s 2000 L / s 10 s 2214 1 921 2012 40 s 2106 1 763 1 896 1 60 s 1956 1 598 1 693 460 s 1 858 1460 1456 1060 s 1780 1 335 1212

[0153] Table 4

[0154] When visualizing the 2D data matrix shown in Table 4, color scales are defined. As shown in Figure 3, orange represents the maximum viscosity of 2220 cP, and purple represents the minimum viscosity of 1200 cP. The color scales are displayed on the right side of Figure 3. The data matrix can be converted into a color grid as shown in the left image of Figure 3. By performing spline interpolation on the original data in the data matrix, the color grid is converted into a pseudo-color image as shown in the right image of Figure 3.

[0155] At the same time, the texture conversion index T corresponding to the pseudo-color image is calculated to be T = 1 - (Smin / Smax) = 1 - (1212 / 2214) = 45%.

[0156] Note that, in general, polymer solutions have shear-thinning properties, so the viscosity is expected to decrease under longer shearing time or higher shear strength (shear rate). In Example 1 and Figure 2B, the response of personal care product 1 follows this expected behavior, that is, from the upper left to the lower right corner of Table 3, as the energy input increases (i.e., the shear rate and shear time increase), the viscosity of personal care product 1 gradually decreases. However, for personal care product 2, it can be noted that during the shear rate change from 2001 / s to 20001 / s when the shear duration is 10s, 40s, and 160s, personal care product 2...The viscosity increases, and the viscosity of personal care product 2 decreases as the shear rate changes from 2001 / s to 20001 / s during shear durations of 460s and 1060s.

[0157] Based on the left image of Figure 3, in this uninterpolated color grid, some unusual changes in the texture of personal care product 2 can be seen from the area enclosed by the rectangle in the left image of Figure 3. It can be noted that personal care product 2 exhibits abnormal behavior (thickening phenomenon) at a higher shear rate (shear rate = 20001 / s) within a low shear time. In the right image of Figure 3, after interpolation, the thickening phenomenon is more pronounced and covers a wider range of shear rates and shear times, as shown by the dashed circle in the right image of Figure 3. Effectively, the pseudo-color image after interpolation helps to improve the sensitivity of the test without increasing the complexity of the experimental procedure.

[0158] This is a unique characteristic compared to personal care product 1 and general personal care products and personal care product raw material aqueous solutions. This characteristic is of great significance for the research and development of personal care products and for consumers' experience using these products. In summary, some specific physicochemical phenomena in aqueous solutions of personal care products or their raw materials can only be detected using the testing methods described in this disclosure. Therefore, this example demonstrates that the methods provided in this disclosure can accurately capture specific textural changes in fluid compositions.

[0159] Please also note that if the shear time in the shear conditions of Example 2 above is only 10s, 40s, and 160s, then the 3×3 data matrix formed by the measured rheological index data (i.e., average viscosity) is shown in Table 4.1 below:

[0160] 201 / s 2001 / s 20001 / s 10s 2214 1 921 2012 40s 2106 1 763 1 896 1 60s 1956 1 598 1 693

[0161] Table 4.1

[0162] At this time, if the formula T = 1 - (Smin / Smax) is used to calculate the texture conversion index T, it can be calculated that T = 1 - (1693 / 2214) = 0.23; if the formula T = 1 - (Smin / Smax) is used to calculate the texture conversion index T, then T = 1 - (Smin / Smax) = 0.23; (End / S Start) Calculate the texture transition index T, and we can get T = 1 - (1598 / 2214) = 0.28. It can be seen that there is a certain difference between the calculation results of the two texture transition indices, and this difference is caused by the special properties of this personal care product 2.

[0163] For general samples, since the rheological index data obtained during the measurement process is always negatively correlated with its shear history (i.e., shear thinning), or for temperature changes, viscosity or modulus always changes during the heating process.Decrease. For these materials, the above two formulas will yield equivalent texture transition indices. However, in some special materials, such as the personal care product 2 described in Example 2, under certain experimental conditions, T = 1 - (S end / S start) can more intuitively reflect the texture transition properties of these special personal care products or material systems.

[0164] Example 3:

[0165] The fluid composition to be tested is the same as that in Example 1, namely personal care product 1, and the shear conditions are also the same as those in Example 1. However, the shear rate in the rheological test step is reduced from 0.11 / s in Example 1 to 0.051 / s, to show that for the method provided in this disclosure, the rheological test can be carried out under different predetermined conditions (different from the shear rate of 0.11 / s in Example 1).

[0166] Here, the three different shear rates are 201 / s, 2001 / s, and 20001 / s, and the three different shear durations are 10s, 30s, and 60s. The specific test process is as follows:

[0167] In the first step, a shearing step is performed to apply a first shear rate of 201 / s for 10 seconds, followed by a rheological test step to measure the shear stress of the personal care product 1 at a shear rate of 0.051 / s for 600 seconds; then, a shearing step is performed again to further shear the personal care product 1 at a rate of 201 / s for 30 seconds, followed by a rheological test step to measure the shear stress of the product 1 at a shear rate of 0.051 / s for 600 seconds, followed by a shearing step to further shear the personal care product 1 at a rate of 201 / s for 60 seconds, followed by a rheological test step to measure the shear stress of the product 1 at a rate of 0.051 / s for 600 seconds. In each shearing step (201 / s), viscosity is not used for analysis, and shear stress is collected in each rheological test step. Thus, the viscosity is calculated from the shear stress collected during the measurement steps. In this example, the average viscosity value of the last 300 seconds in each rheological test step can be used as rheological index data to represent the yield strength of personal care product 1 after shearing. The second and third steps follow the same method as the first step, except that the shear rate in the shear conditions is increased to 2001 L / s and 20000 L / s, respectively.

[0168] The raw data from the rheometer during the above steps are shown in Figure 4A. In Figure 4A, the horizontal axis represents time, and the vertical axis represents viscosity. The blue data represents the viscosity measured in the first step when the shear rate is 20 L / s and the shear times are 10 s, 30 s, and 60 s. The green data represents the viscosity measured in the second step when the shear rate is 200 L / s and the shear times are 10 s, 30 s, and 60 s. The red data represents the viscosity measured in the second step when the shear rate is 2000 L / s and the shear times are 10 s, 30 s, and 60 s. The measured flow...The variable index data (i.e., average viscosity) can be tabulated in a 3×3 matrix, as shown in the table below:

[0169] 201 / s 2001 / s 20001 / s 10s 412 349 277 30s 388 282 209 60s 339 238 111

[0170] Table 5

[0171] When visualizing the 2D data matrix shown in Table 5 above, a divergent color scale is defined. Dark red represents the maximum viscosity of 500 cP, dark blue represents the minimum viscosity of 0 cP, and white represents the average viscosity of 250 cP. The color scale is shown on the right side of Figure 4B. The data matrix can be converted into a color grid as shown in the left figure of Figure 4B. By performing bicubic interpolation on the original data in the data matrix, the color grid is converted into a pseudo-color image as shown in the right figure of Figure 4B. Instruction manual, pages 14 / 20, CN 121877642 A

[0172] Since the shear rate (0.051 / s) used to measure the average viscosity above is different from the shear rate (0.11 / s) in Example 1, the value of the average viscosity is different. Nevertheless, the texture change pattern of personal care product 1 remains unchanged.

[0173] Meanwhile, the texture transition index T corresponding to the pseudo-color image is calculated to be T = 1 - (Smin / Smax) = 1 - (111 / 412) = 73%.

[0174] The parameters of the transition from high viscosity to low viscosity and the degree of change of personal care product 1 during the test in Example 3 are consistent with the texture assessment of trained experts. Moreover, although the test schemes of Example 1 and Example 3 are somewhat different (the shear rate in the rheological test step is reduced from 0.11 l / s in Example 1 to 0.05 l / s in Example 3), the texture conversion index T calculated by both is consistent (both are 73%). This indicates that when the same experimental scheme is followed for the same sample, using any shear rate to perform rheological testing to determine the average viscosity will produce effective comparative analysis results.

[0175] Example 4:

[0176] The fluid composition to be tested is personal care product 3. The shear conditions include two-dimensional controllable variables: shear duration and shear rate; with 2 shear rates and 3 shear durations, a total of 2×3=6 different shear histories were experienced under the combination of 2 different shear rates and 3 different shear durations, finally generating a two-dimensional 2×3 data matrix. The interpolation method used for visualization is bicubic interpolation. In this example, a very small shear rate of 0.01 l / s was used during the test to show that rheological index data (such as average viscosity) can be measured under different predetermined conditions.

[0177] Here, the two different shear rates are 20 L / s and 200 L / s, and the three different shear durations are 10 s, 30 s, and 120 s. The specific test process is as follows:

[0178] In the first step, a shearing step is performed, applying a first shear rate of 201 / s for 10 seconds, followed by a rheological test step measuring the shear stress of the personal care product 3 at a shear rate of 0.01 1 / s for 600 seconds. Then, a further shearing step is performed, applying a shear rate of 201 / s to the personal care product 3 for 30 seconds, followed by another rheological test step measuring the shear stress of the product 3 at a shear rate of 0.01 1 / s for 600 seconds. This is repeated, applying a shearing step to the personal care product 3 at a shear rate of 201 / s for 60 seconds, followed by another rheological test step measuring the shear stress at a shear rate of 0.01 1 / s for 600 seconds. The second step follows the same method as the first step, except that the shear rate in the shearing condition is increased to 2001 / s. In each shearing step (201 / s and 2001 / s), viscosity is not used for analysis, and shear stress is collected in each measurement step. Thus, rheological index data are collected from the measurement steps. In this example, the average viscosity value of the last 300s of each measurement step (i.e., the measurement at a shear rate of 0.051 / s) can be used as rheological index data to represent the yield strength of the personal care product 3 after shearing.

[0179] The original data of the rheometer during the above steps are shown in Figure 5A. The horizontal axis in Figure 5A is the time axis, and the vertical axis is the viscosity. The blue data is the viscosity data tested in the first step when the shear rate is the first shear rate of 201 / s and the shear time is 10s, 30s, and 120s, respectively. The green data is the viscosity data tested in the second step when the shear rate is the second shear rate of 2001 / s and the shear time is 10s, 30s, and 120s, respectively. The measured rheological index data (i.e., average viscosity) are shown in the 2×3 matrix in the table below:

[0180]

[0181]

[0182] Table 6 Specification 15 / 20 pages 18 CN 121877642 A

[0183] When visualizing the 2D data matrix shown in Table 6 above, grayscale color scales are used, with black representing the maximum viscosity of 35000 cP and white representing the minimum viscosity of 20000 cP. The color scales are displayed on the right side of the figure. The data matrix can be converted into a color grid as shown in the left figure of Figure 5B. By performing bicubic interpolation on the original data in the data matrix, the color grid is converted into a pseudo-color image as shown in the right figure of Figure 5B.

[0184] Example 5:

[0185] The fluid composition to be tested is personal care product 4, and the shear conditions include three-dimensional controllable variables: shear duration, shear rate, and electrolyte concentration. In this example, the effectiveness of the method for generating a three-dimensional data matrix is ​​demonstrated using a high-dimensional method. The personal care product 4 it represents is a polymer solution, which is relatively sensitive to the effects of electrolytes. Although two-dimensional controllable variables are sufficient to show the transformation process of this personal care product 4, its sensitivity to electrolytes requires a third-dimensional controllable variable for characterization and visualization.

[0186] Here, in this three-dimensional controllable variable, the shear rate has three different values: 121 / s, 1441 / s, and 20161 / s; the shear duration has three different values: 10s, 30s, and 120s; and the electrolyte concentration has three different values: 2%, 4%, and 8%. The specific test process is as follows:

[0187] In the first step, a shearing step is performed, applying a first shear rate of 121 / s to the personal care product 4 with an electrolyte concentration of 2% for 10 seconds. Then, a rheological test step is performed, measuring the shear stress of the personal care product 4 at a shear rate of 0.011 / s for 600 seconds. Then, a shearing step is performed again, further shearing the personal care product 4 with an electrolyte concentration of 2% at a rate of 121 / s for 30 seconds. Then, a rheological test step is performed, measuring the shear stress of the personal care product 4 at a shear rate of 0.011 / s for 600 seconds. Finally, a shearing step is performed again, shearing the personal care product 4 with an electrolyte concentration of 2% at a rate of 121 / s for 120 seconds. Next, a rheological test is performed, measuring shear stress at a rate of 0.01 lb / s for 600 s. The second step follows the same method as the first, except the shear rate is increased to 144 lb / s. In the third step, the shear rate is increased to 2016 lb / s. Since there is a third controllable variable in this example—electrolyte concentration—the first to third steps are repeated for personal care products with electrolyte concentrations of 4% and 8%, respectively. A total of 27 shear conditions are checked to obtain 27 average viscosity outputs, which are the average viscosity values ​​over the last 300 seconds of the shear stress measurement.

[0188] The measured rheological index data (i.e., average viscosity) is shown in the 3×3×3 three-dimensional data matrix in the table below:

[0189]

[0190]

[0191] Table 7

[0192] When visualizing the 3-dimensional data matrix shown in Table 7 above, color scales are defined. Red represents the maximum viscosity of 7500 cP, and blue represents the minimum viscosity of 2000 cP. The color scales are displayed on the right side of the figure. The data matrix can be converted into a color grid as shown in the left figure of Figure 6A. Figure 6A shows the two-dimensional color grids of the two-dimensional data matrix from left to right when the electrolyte concentration is 2%, 4%, and 8%, respectively. These three two-dimensional color grids can be further stacked into a three-dimensional color grid as shown in Figure 6B, visualization of the solid line three-dimensional data matrix. From the three-dimensional plot shown in 6B, the transition caused by the increase in shear duration (from left to right), the effect of the increase in shear rate (from back to front), and the effect of the increase in additional electrolyte (from top to bottom) can be easily seen. Of course, the original data in this data matrix can be interpolated to convert the three-dimensional color grid into a three-dimensional pseudo-color plot.

[0193] Meanwhile, the texture transition index T corresponding to the pseudo-color image was calculated as T = 1 - (Smin / Smax) = 1 - (2002 / 7375) = 73%. The calculation of the texture transition index T takes into account the effects of shear duration, shear rate and electrolyte concentration.

[0194] In addition, the number of dimensions can be reduced (i.e., generating two-dimensional data from three-dimensional data). For example, since the texture transition caused by shear duration and electrolyte concentration can be extracted from the three-dimensional pseudo-color image (i.e., the front plane of the three-dimensional pseudo-color image), although the combination of these two controllable variables was not specifically tested during the data generation stage. Therefore, high-dimensional methods are compatible with two-dimensional methods.

[0195] Comparative Example 1:

[0196] The fluid composition to be tested is personal care product 1. The test method is based on the existing method described by Joyner in "Semi-solid Food Rheology", which defines thixotropy as the hysteresis behavior between two viscosity curves obtained from a linearly changing shear rate. The thixotropic area can be calculated by measuring the difference between the lower curve and the upper curve.

[0197] According to the existing method described above, the personal care product 1 can be sheared using a linearly varying shear rate, as shown in Figure 7A. The shear rate can linearly increase from 1 L / s to 1000 L / s and then linearly decrease back to 1 L / s. The linear increase and decrease of the shear rate takes a total of 4 minutes, during which 2 minutes are allocated to the linear increase of the shear rate and 2 minutes are allocated to the linear decrease of the shear rate. To reflect the thixotropic or textural changes of the personal care product 1, this process is repeated 4 times, and the data changes during the test are shown in Figures 7A and 7B.

[0198] The test data are shown below. In the continuous shear cycle, the shear stress of the first cycle is the same as that of the last (4th) cycle. The thixotropic areas of the four cycles are as follows:

[0199] 721 Pa / s

[0200] 595 Pa / s

[0201] 589 Pa / s

[0202] 586 Pa / s

[0203] It is clear that for personal care product 1, it is impossible to detect any meaningful textural transformation of personal care product 1. This indicates that since cycles 2 / 3 / 4 have approximately the same thixotropic area, the textural transformation stops immediately after the first cycle, which is inconsistent with the sensory evaluation of experts; while using the method of this disclosure, the average viscosity tested in Example 1, the transformation from high viscosity to low viscosity during the test and the degree of change parameters are consistent with the textural evaluation of trained experts, thus demonstrating that the method of this disclosure can characterize the rheological properties of the fluid composition and can effectively capture the small textural differences of the fluid composition during use.

[0204] In addition, during the rheological test of Comparative Example 1 using a rheometer, it was affected by the inertia of the sample and the equipment.Although advanced rheometers generally have the function of correcting for inertia, these functions cannot always completely eliminate the influence of inertia, especially when the sample mass is large and the viscosity is low. For example, Irvin M. Krieger's article "Bingham Award Lecture-1989: The role of instrument inertia in controlled-stress rheometers," published in the Journal of Rheology, Vol. 34, p. 471 in 1990, recorded a case of negative viscosity measurement (Figure 4 in the article, pp. 17 / 20, CN 121877642 A). In the technical solution described in Comparative Example 1, as shown in Figures 7A and 7B, the shear stress (i.e., viscosity, based on Newton's law of viscosity) of personal care product 1 also showed a negative value in the lower shear rate range during the linear decrease of shear rate. It is well known that the viscosity of a product cannot be negative. Therefore, negative viscosity indicates a measurement error. This situation demonstrates that the inherent limitations of the instrument have not been completely corrected in their impact on the measurement results. Such limitations cannot be overcome using existing technologies. Therefore, the thixotropic properties and texture transitions of the fluid composition obtained by the existing technology used in Comparative Example 1 are affected by the inertia of the equipment and the sample. However, this method uses a constant preset shear rate to perform rheological testing on the sample, and is therefore not affected by the inertia of the sample and the equipment, thus obtaining better measurement results than the comparative example.

[0205] Comparative Example 2:

[0206] Compared with Example 2 above, the personal care product 2 was tested using the method disclosed in US11456450, using multiple shear rate tests but only using a fixed shear duration. The method disclosed in US11456450 is as follows:

[0207] The analyte is introduced into a rheometer system at the following rates: 0.11 / s → 101 / s → 0.11 / s → 1001 / s → 0.11 / s → 10001 / s → 0.11 / s → 10001 / s → 10001 / s, with the retention time for each shear rate set to 180 seconds. Stability is determined by a criterion that compares the viscosity measured at the second / third 0.11 / s interval with the viscosity measured at the first 0.11 / s interval. If the viscosity measured at 0.11 / s reaches within 20% of that measured at the 10.11 / s interval, the slurry is considered stable, and vice versa. A specific requirement for this method is that for the first / third / possibly all odd-numbered (measurement) steps, the shear rate should be around 0.11 / s. The third / fourth shear rate step is then applied.The duration of each step is 180-260 seconds. The shear rate of each of the second, fourth, and subsequent even-numbered steps should be increased by 10 times or more.

[0208] As described in the prior art above, as shown in FIG8, the shearing of the personal care product 2 is applied in six steps:

[0209] Step 1, shear rate 0.11 / s, duration 250s;

[0210] Step 2, shear rate 101 / s, duration 250s;

[0211] Step 3, shear rate 0.11 / s, duration 250s;

[0212] Step 4, shear rate 1001 / s, duration 250s;

[0213] Step 5, shear rate 0.11 / s, duration 250s;

[0214] Step 6, shear rate 10001 / s, duration 250s.

[0215] The measured rheological index data (i.e., viscosity) are shown in Figure 8. It can be seen that, as shown by the viscosity data in steps one, three, and five above, the viscosity of personal care product 2 appears to decrease continuously. Obviously, this method fails to identify the true texture transformation process of the fluid composition.

[0216] Since this prior art only changes the shear rate while always using the same duration to apply shear deformation, this method essentially captures only one dimension of the method introduced in this disclosure, thus missing important rheological information that is crucial for the development and evaluation of fluid composition formulations.

[0217] In addition, in manufacturing environments, it is often necessary to produce the same product in different geographical locations and manufacturing conditions. There will also be slight differences in the rheological properties between different batches of the product. These batch-to-batch differences are usually caused by several reasons, including but not limited to:

[0218] 1. Variation in raw materials: The composition or quality of ingredients such as oils, surfactants, especially naturally derived ingredients, may vary slightly between different batches. Even small differences can affect the stability, texture, or appearance of the product.

[0219] 2. Equipment Wear and Maintenance: Wear and tear on manufacturing equipment can lead to variations during mixing or heating. For example, worn blades in a mixer may not produce the same shear force as new blades, resulting in inconsistencies.

[0220] 3. Environmental Factors: Variations in humidity, temperature, and even air quality in the manufacturing environment can affect the stability and quality of the emulsion. For example, lower ambient temperatures may cause a slightly faster cooling rate, resulting in differences in viscosity or texture.

[0221] 4. Operator Variation: Different ways operators handle the manufacturing process, such as slight variations in time, the order of ingredient addition, or judgments made during mixing, can introduce batch-to-batch variation.

[0222] These factors highlight the importance of rigorous quality control measures, including raw material testing, precise control of manufacturing parameters, and consistent equipment maintenance, to minimize batch-to-batch variations. These variations, though small, can affect the texture of the final product in certain situations, particularly in the high-end personal care product sector, where the highest consistency is required across all manufactured products.

[0223] Existing evaluation processes are typically performed by experienced personnel highly trained in sensory evaluation because other methods (such as typical in vitro methods) may not adequately quantify these minute variations. The publicly available methods effectively identify batch-to-batch variations, thereby improving quality control and process engineering.

[0224] Example 6:

[0225] The fluid composition to be tested was personal care product 1a, and the testing process was identical to that of Example 1. The formulation of personal care product 1a was identical to that of personal care product 1, but the batches of raw materials used in the production of personal care product 1a were different from those of personal care product 1.

[0226] The raw data measured by the rheometer during the above-mentioned test of personal care product 1a is shown in Figure 9A. In Figure 9A, the horizontal axis is the time axis and the vertical axis is the viscosity. The blue data is the viscosity data tested in the first step when the shear rate is the first shear rate of 201 / s and the shear time is 10s, 30s and 60s respectively. The green data is the viscosity data tested in the second step when the shear rate is the second shear rate of 2001 / s and the shear time is 10s, 30s and 60s respectively. The red data is the viscosity data tested in the second step when the shear rate is the third shear rate of 20001 / s and the shear time is 10s, 30s and 60s respectively. Based on this, the annual average value of 300s after each rheological test step can be calculated as the rheological index data, and then a 3 × 3 data matrix can be obtained. The 3×3 data matrix is ​​a direct result of the rheological test under 2D controllable variables. Therefore, the 3×3 2D data matrix can be shown in Table 8 below:

[0227] 201 / s 2001 / s 20001 / s 10s 368 302 224 30s 346 243 1 59 60s 295 204 77

[0228] Table 8

[0229] When visualizing the 2D data matrix shown in Table 8 above, a divergent color scale is defined. Dark red is used to represent the maximum viscosity of 500 cP, dark blue is used to represent the minimum viscosity of 0 cP, and white is used to represent the average value of 250 cP, as shown in Figure 9B. The color scale is displayed on the right side of the figure. The data matrix can be converted into a color grid as shown in the left figure of Figure 9B. By performing bicubic interpolation on the original data in the data matrix, the color grid is converted into a pseudo-color image as shown in the right figure of Figure 9B.

[0230] The texture transformation index corresponding to the pseudo-color image can be obtained by calculation: T = 1 - (Smin / Smax) = 1 - (77 / 368)=78%.

[0231] By comparing this personal care product 1a with personal care product 1 in Example 1, it can be clearly seen that the texture transformation index T of the sample has increased. After a detailed comparison of the data in the two-dimensional matrix, it can be seen that this phenomenon is due to the fact that the rheological index data of the sample on page 19 / 20 of the specification 22 CN 121877642 A are somewhat different under the combination of lower shear rate and time conditions (left and top of the matrix), and there is almost no difference in the rheological index data under the combination of higher shear rate and time conditions (right and bottom of the matrix).

[0232] Through the test based on this disclosure, the differences between the two batches of personal care product 1 and personal care product 1a have been completely compared. And based on the test results obtained from the test of this disclosure, the production of personal care products can be adjusted accordingly, thereby obtaining better raw material control, production management and smaller batch differences.

[0233] Trained experts assessed the differences between personal care product 1 and personal care product 1a. However, due to the very small differences between the two batches, the expert assessment could not accurately evaluate the differences between the two samples. The method provided in this disclosure can capture minute textural differences between different batches of products.

[0234] Those skilled in the art will recognize that various modifications, alterations, and combinations can be made to the above embodiments without departing from the scope of the invention, and such modifications, alterations, and combinations should be considered within the scope of the inventive concept.

[0235] Specific examples have been described in the foregoing specification. However, those skilled in the art will understand that various modifications and alterations can be made without departing from the scope of the invention as set forth in the following claims. Therefore, the specification and drawings should be considered illustrative rather than restrictive, and all such modifications are intended to be included within the scope of the teachings of the invention. Furthermore, the described examples / embodiments / implementations should not be construed as mutually exclusive, but should be understood as potentially composable if such combinations are permitted in any way. In other words, any feature disclosed in any of the above examples / embodiments / implementations can be included in any other of the above examples / embodiments / implementations.

[0236] Beneficial effects, advantages, problem solutions, and any elements that may lead to or make more apparent any beneficial effects, advantages, or solutions should not be construed as key, essential, or fundamental features or elements of any or all claims. The claimed invention is defined solely by the appended claims, including any modifications made during the pending period of this application and all equivalents of those granted claims.

[0237] This abstract is provided to enable the reader to quickly determine the nature of the technical disclosure. It should be understood that the abstract is not intended to interpret or limit the scope or meaning of the claims. Furthermore, as can be seen from the foregoing detailed description,To simplify the disclosure, various features are combined in various embodiments. This method of disclosure should not be construed as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as reflected in the claims, the inventive subject matter may be present in all features of a single disclosed embodiment. Therefore, the claims are hereby incorporated into the detailed description, each claim being independently claimed as a separate subject matter.

[0238] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this disclosure is not limited to the technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in this disclosure. Instruction manual 20 / 20 pages 23 CN 121877642 A Figure 1 Figure 2A Instruction manual drawing 1 / 9 pages 24 CN 121877642 A Figure 2B Figure 3 Instruction manual drawing 2 / 9 pages 25 CN 121877642 A Figure 4A Figure 4B Instruction manual drawing 3 / 9 pages 26 CN 121877642 A Figure 5A Figure 5B Instruction manual drawing 4 / 9 pages 27 CN 121877642 A Figure 6A Figure 6B Instruction manual drawing 5 / 9 pages 28 CN 121877642 A Figure 7A Instruction manual drawing 6 / 9 pages 29 CN 121877642 A Figure 7B Instruction manual drawing 7 / 9 pages 30 CN 121877642 A Figure 8 Instruction manual drawing 8 / 9 pages 31 CN 121877642 A Figure 9A Figure 9B Instruction manual drawing 9 / 9 pages 32 CN 121877642 A ABSTRACT This disclosure relates to the field of rheological technology and specifically discloses a method for characterizing rheological properties of a fluid composition. The method includes: preconditioning the fluid composition under predetermined shear conditions,the shear conditions including M-dimensional controllable variables, where M is an integer greater than or equal to 2; performing a rheological test on the sheared fluid composition under predetermined testing conditions to obtain characteristic rheological parameters; obtaining an M-dimensional data matrix formed by at least four pieces of characteristic rheological parameters to characterize rheological properties of the fluid composition; wherein each piece of the characteristic rheological parameters corresponds to one shear condition, one dimension of N pieces of data in the M-dimensional data matrix correspond to N different shear conditions, and the N different shear conditions are formed by combining N different variable values of a controllable variable in one dimension of the M-dimensional controllable variables with respective one variable value of each of controllable variables in other dimensions. This technical solution can characterize small differences in the fluidcomposition.

Claims

1. A method for characterizing the rheological properties of a fluid composition, comprising: The fluid composition is pretreated under predetermined shear conditions, wherein the shear conditions include M controllable variables, where M is an integer greater than or equal to 2; For the fluid composition after shearing, rheological tests are performed under predetermined test conditions to obtain rheological index data; An M-dimensional data matrix formed by acquiring at least four rheological index data is used to characterize the rheological properties of the fluid composition; Each rheological index data corresponds to a shearing condition. The one-dimensional N data points in the M-dimensional data matrix correspond to N different shearing conditions. The N different shearing conditions are formed by combining N different variable values ​​of the one-dimensional controllable variable and one variable value of each of the other dimension controllable variables. N is an integer greater than or equal to 2.

2. The method according to claim 1, characterized in that: The N different variable values ​​of one controllable variable in the N different shearing conditions are sorted in descending or ascending order, and the rheological index data in the M-dimensional data matrix are sorted in the order of the corresponding controllable variables.

3. The method according to claim 1, characterized in that: The shearing conditions include at least two of the following controllable variables: temperature, humidity, shear rate, shear duration, water evaporation parameter, salinity, magnetic field parameter, electric field parameter, tensile displacement, tensile force, pressure, radial oscillation shear parameter, axial oscillation shear parameter, neutron radiation parameter, X-ray radiation parameter, ultraviolet radiation parameter, visible light radiation parameter, and amount of chemical reagent added.

4. The method according to claim 3, characterized in that: When the fluid composition is a personal care product, the shear conditions include shear rate and shear duration.

5. The method according to claim 3, characterized in that: When the fluid composition is a food-grade fluid composition, the shear conditions include electric field parameters and shear rate.

6. The method according to claim 4, characterized in that: When the fluid composition is a personal care product containing a material with photocatalytic properties, the shear conditions also include ultraviolet radiation and temperature.

7. The method according to claim 4, characterized in that: When the fluid composition is a personal care product to be used above a predetermined temperature, the shear condition also includes temperature.

8. The method according to claim 3, characterized in that: When the fluid composition is a fluid composition from the oil and gas sector, the shear conditions include temperature, pressure, and radiation parameters.

9. The method according to claim 3, characterized in that: When the fluid composition is a personal care product, the shear conditions include shear duration, shear rate, and electrolyte concentration.

10. The method according to claim 1, characterized in that: The method of performing rheological tests on the sheared fluid composition under predetermined test conditions to obtain rheological index data includes: Timing begins after the fluid composition has been pretreated under predetermined shear conditions. After a predetermined duration, rheological tests are performed under predetermined test conditions to obtain rheological index data.

11. The method according to claim 10, characterized in that: The predetermined duration ranges from 0 to 10 seconds.

12. The method according to claim 1, characterized in that: The process of conducting rheological tests under predetermined test conditions to obtain rheological index data includes: The fluid composition was sheared at a preset shear rate for a preset shear duration, and the rheological parameters were measured.

13. The method according to claim 12, characterized in that: The preset shear rate ranges from 0.001 to 0.11 / s, and the preset shear duration ranges from 300 to 1800s.

14. The method according to claim 12, characterized in that: The measurements yield rheological index data, including: The average viscosity measured during a portion of the preset shear duration is determined as the rheological index data, where the portion of the time begins at a predetermined moment within the preset shear duration and ends at the last moment within the preset shear duration.

15. The method according to any one of claims 1-14, characterized in that, The method further includes: Based on the correspondence between the data values ​​and color values ​​of the predetermined rheological index data, the M-dimensional data matrix is ​​converted into an M-dimensional color grid: The M-dimensional color grid is interpolated using a predetermined interpolation method to convert the M-dimensional color grid into an M-dimensional pseudo-color image.

16. The method according to claim 15, characterized in that, The method further includes: Calculate the texture conversion index T using the following formula: T=1-(S min / S max ); Wherein, the S min S is the minimum value among the at least four rheological index data. max It is the maximum value among the at least four rheological index data.

17. The method according to claim 15, characterized in that, The method further includes: Calculate the texture conversion index T using the following formula: T=1-(S 结束 / S 开始 ); Wherein, the S 开始 For the rheological index data obtained from the test under the first shear condition, the S 结束 For the rheological index data obtained under the last shearing condition, the variable values ​​of the M-dimensional controllable variables in the first shearing condition are all the minimum values ​​among the variable values ​​of the controllable variables in this dimension, and the variable values ​​of the M-dimensional controllable variables in the last shearing condition are all the maximum values ​​among the variable values ​​of the controllable variables in this dimension.

18. The method according to claim 15, characterized in that: When M is greater than or equal to 3, the M-dimensional pseudo-color image includes one or more three-dimensional pseudo-color images, and the method further includes: For a given 3D color image, determine the corresponding 3D controllable variable of the 3D pseudo-color image; Select any two controllable variables from the three-dimensional controllable variables; Extract the two-dimensional pseudo-color images corresponding to the two selected controllable variables from the three-dimensional color image.

19. The method according to claim 15, characterized in that: The predetermined interpolation method includes any one of the following: bicubic, bilinear, spline, nearest neighbor, Kriging, polynomial, centroid, radial Bass function, thin plate spline, piecewise linear, Fourier, etc.

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