Homogenizing temperature prediction control method and high-pressure homogenizer applying same

By establishing a homogenization temperature prediction model and optimizing the high-pressure homogenization process parameters, the problems of temperature regulation delay and insufficient cooling system were solved, and efficient and scientific temperature control and processing optimization were achieved.

CN120714518AActive Publication Date: 2025-09-30SUZHOU AITSEN PHARM EQUIP CO LTD
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Patent Information

Application Number
CN202511168392.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-20
Publication Date
2025-09-30
Estimated Expiration
2045-08-20

AI Technical Summary

Technical Problem

In existing high-pressure homogenization technology, delays in homogenization temperature regulation lead to temperature exceeding the limit, affecting the homogenization effect and efficiency. In addition, insufficient cooling capacity of the cooling system prevents processing, resulting in cost waste.

Method used

A homogenization temperature prediction and control method is established. By establishing a temperature rise model, the homogenization temperature change trend is predicted, and the process parameters are optimized to match the cooling system to avoid temperature exceeding the limit.

Benefits of technology

The forward-looking control of homogenization temperature is realized to ensure that the homogenization process is within a safe range, improve processing efficiency, avoid cost waste, and optimize process parameters to take into account the homogenization effect.

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Abstract

The invention relates to a homogenizing temperature prediction control method and a high-pressure homogenizer applying the method, and the method comprises the steps: building a temperature rise model of the homogenizing temperature T changing along with the homogenizing time t, drawing a temperature rise prediction curve of the homogenizing temperature according to the current technological parameters, and obtaining the maximum value of the homogenizing temperature, then, according to the power of the cooling system in the current equipment, the mass flow rate of the material in the homogenizing cavity, the specific heat capacity of the material in the homogenizing cavity and the required discharging temperature, the maximum temperature value of the cooling system capable of refrigerating in the current process is calculated; and finally, the process parameters are adjusted according to the maximum value of the homogenizing temperature and the maximum temperature value of refrigeration of the cooling system until the adjustment reaches the standard. According to the method, the defects of a traditional monitoring mode based on a temperature sensor are overcome, and temperature control in homogenizing processing is more scientific, efficient and prospective.
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Description

Technical Field

[0001] The present invention relates to a homogenization temperature prediction and control method and a high-pressure homogenizer applying the method, and is applicable to the technical field of high-pressure homogenization. Background Art

[0002] A high-pressure homogenizer is a processing device that uses high pressure to pressurize sample particles and high-speed injection to generate huge collision and explosive forces, thereby achieving the effect of crushing and homogenizing the sample particles. During high-pressure homogenization, the shear and friction of the fluid under high pressure will generate heat. Excessively high homogenization temperatures will not only cause chemical or physical changes in the material, affecting the homogenization effect, but may also cause accelerated equipment wear and reduce processing stability. Therefore, existing homogenization processes require regulation and control of heat generation during the processing. The current common regulation method is to monitor the homogenization temperature in the homogenization chamber in real time during the homogenization process through monitoring means such as temperature sensors, and then reduce the heat generated by lowering one or more parameters in the process (such as homogenization pressure, homogenization frequency, liquid inlet temperature, etc.); or to cool the outlet material through a cooling system such as a chiller to avoid affecting the homogenization effect.

[0003] However, these adjustment methods are all carried out during the processing process. On the one hand, there is a long delay time between "the sensor issues an early warning" to "adjustment" and then to "temperature reduction". The existing adjustment methods are difficult to ensure that the homogenization process is always within a safe range. Especially for some materials that are more sensitive to temperature changes, a brief over-limit of homogenization temperature may produce defective products, thereby causing the entire material to be contaminated, which not only affects production efficiency but also leads to cost waste. On the other hand, process parameters such as homogenization pressure, homogenization frequency, and liquid inlet temperature will not only affect the homogenization temperature, but also affect the homogenization effect and efficiency. Therefore, adjusting the process parameters during the homogenization process is not only difficult to take into account both the homogenization temperature and the homogenization effect, but the change in process parameters will also affect the stability of the product quality after homogenization. In addition, since the power of the cooling system limits its maximum cooling capacity, in the actual processing process, it is very likely that the heat generated after adjusting the process parameters to the lower limit will still exceed the maximum cooling capacity of the cooling system, resulting in the inability to proceed with the processing, wasting a lot of manpower and material resources. The existing technology also lacks technical means to effectively avoid such situations. Summary of the Invention

[0004] In order to solve the defects of the above-mentioned prior art, the present invention proposes a homogenization temperature prediction and control method and a high-pressure homogenizer using the method.

[0005] In one aspect, the present invention provides a homogeneous temperature prediction and control method, comprising: S1. Establish a temperature rise model in which the homogenization temperature T of the material in the homogenization chamber changes with the homogenization time t: ; Among them, x1 represents the homogenization pressure in the homogenization chamber; x2 represents the homogenization frequency; x3 represents the inlet temperature of the material when it flows into the homogenization chamber; specifically, the homogenization frequency is the reciprocating speed of the plunger pump in the homogenization equipment. The higher the homogenization frequency, the faster the pumped material flow rate and the larger the material flow rate; C1, C2, and C3 represent the weight coefficients corresponding to the homogenization pressure, the weight coefficients corresponding to the homogenization frequency, and the weight coefficients corresponding to the inlet temperature, respectively, and C1+ C2+ C3=1. Specifically, since the homogenization pressure is a decisive factor in the influence on heat generation, and the influence of the homogenization pressure on heat generation is greater than that of the inlet temperature and greater than that of the homogenization frequency, the values ​​of C1, C2, and C3 are 0.95≤C1≤1, 0≤C2+ C3 ≤ 0.05, and C3 ≥ C2. In actual production, the value is primarily determined by the homogenization frequency and inlet temperature in the process. Generally, the higher the preset homogenization frequency (e.g., for production-based homogenization equipment), the lower the weight of the homogenization frequency and the smaller the value of C2. The smaller the temperature difference between the inlet temperature and room temperature, the smaller C3. Specifically, when the preset homogenization frequency is high, the impact of adjustments based on this value is significantly smaller than when the base value is low. Furthermore, the curves for homogenization flow rate and homogenization temperature generally show a rapid initial change followed by a gradual slowdown. When the homogenization frequency is low, the flow rate is relatively low, resulting in a steeper slope. Adjusting the frequency based on this trend will result in a more significant change in the homogenization temperature. However, when the homogenization frequency is high, the flow rate is relatively high, resulting in a steeper slope. Adjusting the frequency based on this trend will not significantly change the temperature. Therefore, the homogenization frequency and its weight are generally negatively correlated: the higher the homogenization frequency, the smaller the weight.

[0006] P1, P2, and P3 represent the influence coefficient of homogenization pressure on homogenization temperature, the influence coefficient of homogenization frequency on homogenization temperature, and the influence coefficient of inlet temperature on homogenization temperature, respectively, and P1, P2, and P3 are any constants between 1 and 3 (including 1 and 3); the values ​​of P1, P2, and P3 are related to the energy conversion efficiency of the high-pressure homogenization equipment. In standard equipment, the influence is linear, and P1, P2, and P3 can take values ​​between 1 and 2. Usually, P1=P2=P3=1 can be assumed by default. In non-standard equipment, the influence on temperature rise under different working conditions is nonlinear. Due to the different internal flow paths of the homogenization pump body, the natural dissipation of heat in the pump body increases, and the values ​​of P1, P2, and P3 increase accordingly, usually between 2 and 3. P1, P2, and P3 are weight factors that reflect the linear and nonlinear degree of the relationship between energy dissipation and temperature rise under different equipment operating conditions. Their value range is obtained by fitting the flow-temperature rise curve through comparative experiments on various models of homogenizers (standard production type and modified type), so that their range roughly falls within the range of 1 to 3.

[0007] β0 represents the maximum temperature rise when the homogenization pressure is zero, with a value of 0 ≤ β0 ≤ 3. The heat generated during no-load flow is generally related to the material type and can be determined based on parameters such as the specific heat capacity of the specific material. Due to the high-pressure homogenizer's own temperature, ambient temperature, and the material's specific heat capacity, when there is no homogenization pressure, the material's outlet temperature may deviate from its inlet temperature. The range of β0 values ​​is determined by collecting and screening data from multiple no-load flow experiments.

[0008] β1 represents the influence coefficient of homogenization pressure, homogenization frequency and inlet temperature on homogenization temperature, and 0.02≤β1≤0.03. Generally, the higher the value of each process parameter, the larger the value of β1. After the temperature rise model is established, by setting the homogenization time t to infinite, the intermediate term of the temperature rise model is can be ignored, and when t is infinite, the homogeneous temperature T also approaches the maximum temperature rise. At this time, the formula As well as the various parameter values ​​in the actual experiment, fitting calculation is performed to obtain the value range of β1.

[0009] T0 represents the ambient temperature; P0 represents the rate of increase of the homogenization temperature, and 0<P0<10; under normal circumstances, the value of P0 is determined by the maximum flow rate that the plunger pump in the high-pressure homogenizer can reach. When a large flow of material passes through the homogenizing valve at high speed, the strong turbulence and cavitation formed will generate a large amount of heat, thereby intensifying the conversion of mechanical energy into thermal energy, resulting in a higher rate of increase of the homogenization temperature. Therefore, when the diameter, stroke and other parameters of the plunger pump in the homogenizing equipment are higher, the value of P0 will be relatively larger.

[0010] x0 represents the inflection point time when the homogenization temperature changes from a rapid increase to a gradual increase, and 0<x0≤2; specifically, the rapid increase and gradual increase here are relative concepts in actual production. In actual homogenization processing, due to the large temperature difference between the initial temperature in the homogenization chamber and the processing heat at the beginning of the processing, a large amount of heat energy generated by the material during homogenization is transferred to the homogenization chamber, resulting in a rapid increase in the homogenization temperature. When the homogenization temperature approaches the maximum heat generation that the process can achieve, the heat transfer decreases and its increase rate will slow down. The value of x0 is usually related to the homogenization flow rate. Generally, the larger the flow rate, the faster the temperature rises and the smaller the value of x0 is. Furthermore, in actual production, the homogenization equipment involved in the production will be determined in advance, and then the change trend of the homogenization temperature over time under multiple working conditions will be measured using the current homogenization equipment. The change trend is then fitted using software such as origin to obtain values ​​such as P1, P2, P3, β1, P0, and x0.

[0011] S2. Substitute the values ​​of the homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 in the current process into the temperature rise model and draw a temperature rise prediction curve of the homogenization temperature, and then obtain the maximum value T of the homogenization temperature in the temperature rise prediction curve. max By establishing a temperature-rise model and plotting a temperature-rise prediction curve, production personnel can predict the homogenization temperature trend under the current process before the actual homogenization process, facilitating intuitive judgment and thermal management. The temperature-rise prediction curve typically exhibits a rapid initial temperature rise followed by a gradual slowing of the temperature rise as the material temperature approaches steady state. This curve morphology resembles an exponential growth / saturation curve, necessitating a power term to adjust the slope. The (t / x0)^P0 term in the temperature-rise model characterizes the nonlinear temporal evolution of the temperature rise during the homogenization process. Therefore, the dimensionless power term of time is used to adjust the temperature-rise curve shape. This (t / x0)^P0 term allows the steepness of the temperature-rise curve under different operating conditions to be reflected in a unified mathematical model, ensuring that the model is consistent with both experimental data and physical phenomena (rapid temperature rise in the early stages followed by gradual stabilization in the later stages).

[0012] S3. Calculate the maximum temperature that the cooling system can cool in the current process based on the power P (kW) of the high-pressure homogenizer cooling system, the mass flow rate m (kg / s) of the material in the homogenization chamber, the specific heat capacity C (J / kg / °C) of the material in the homogenization chamber, and the required discharge temperature T1 (°C). Specifically, the maximum temperature the cooling system can reach is the highest homogenizing temperature it can tolerate when operating at full power while ensuring the discharge temperature meets the specified standards. Calculating this maximum temperature allows production personnel to intuitively determine whether the current homogenization process is compatible with the cooling system.

[0013] S4. Set the maximum homogenization temperature T max Compare this with the maximum temperature T3 that the cooling system can cool: If T max >T3, then at least one of x1, x2, and x3 is adjusted downward, and the process returns to step S2 with the adjusted value. Since process parameters also affect the homogenization effect, when adjusting the homogenization pressure x1, homogenization frequency x2, and inlet temperature x3, a single parameter can be adjusted slightly and the prediction verification can be re-performed to ensure both the homogenization temperature and the homogenization effect. If T max ≤T3, then end the step and determine the current values ​​of homogenization pressure x1, homogenization frequency x2, and inlet liquid temperature x3.

[0014] By predicting the homogenization temperature, production personnel can grasp the future homogenization situation in advance before actual processing, making it convenient to optimize process parameters in advance based on the prediction results. This not only ensures the matching degree between the homogenization process and the cooling system, but also ensures that the homogenization temperature is always within a safe range during the homogenization process, avoiding quality risks caused by temperature exceeding the limit, improving processing efficiency, and avoiding cost waste; it also enables the process parameters to be adjusted to the optimal state that can take into account both the homogenization effect and the homogenization temperature without the need for actual processing, avoiding failures during actual processing that lead to waste of labor, time, materials, and other costs. The above-mentioned predictive control method for homogenization temperature avoids the drawbacks of traditional monitoring methods based on temperature sensors, making temperature control in homogenization processing more scientific, efficient, and forward-looking.

[0015] Furthermore, the homogenization temperature prediction and control method further includes presetting a homogenization pressure threshold a1, a homogenization flow rate threshold a2, and a liquid inlet temperature threshold a3, and x1 ≥ a1, x2 ≥ a2, and x3 ≥ a3; substituting x1 = a1 or / and x2 = a2 or / and x3 = a3 into the temperature rise model of step S1, and obtaining the maximum homogenization temperature T under this process according to the temperature rise prediction curve. max ', if T max '>T3, then replace the high-power high-pressure homogenizer cooling system and re-execute step S2. In actual processing, since the replacement process of the cooling system is relatively complicated and the power of the cooling system that can be carried by different types of equipment is also different, the selection process of the cooling system is also quite cumbersome. Usually, a high-power system is used as much as possible to ensure the cooling effect. However, this will also cause equipment occupation and energy consumption, which is not conducive to homogenization processing. In this solution, by setting the lower limit values ​​of the homogenization pressure, homogenization flow rate and inlet temperature, it can be verified whether the power of the cooling system currently loaded in the high-pressure homogenization equipment meets the minimum usage requirements of the current process, which is convenient for production personnel to replace the cooling system that meets the requirements in advance, reduce the difficulty of cooling system selection, and further improve the efficiency and effect of homogenization processing.

[0016] On the other hand, the present invention further provides a high-pressure homogenizer, which adopts the above-mentioned homogenization temperature prediction and control method.

[0017] Due to the application of the above technical solution, the present invention has the following advantages over the prior art: The homogenization temperature prediction and control method of the present invention and the high-pressure homogenizer using the method, through the prediction of the homogenization temperature, enable production personnel to grasp the future homogenization situation in advance before actual processing, and facilitate the optimization of process parameters in advance according to the prediction results. It can not only ensure the matching degree of the homogenization process and the cooling system, ensure that the homogenization temperature is always within a safe range during the homogenization process, avoid the quality risks caused by temperature exceeding the limit, improve processing efficiency, and avoid cost waste; it can also achieve that the process parameters can be adjusted to the optimal state that can take into account both the homogenization effect and the homogenization temperature without actual processing, avoiding failures during actual processing and resulting in waste of labor, time, materials and other costs. Through the above-mentioned prediction and control method for homogenization temperature, the disadvantages of the traditional monitoring method based on temperature sensors are avoided, making the temperature control in the homogenization process more scientific, efficient and forward-looking. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Hereinafter, some specific embodiments of the present invention will be described in detail in an illustrative and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings: Figure 1 This is a temperature rise prediction curve diagram of Example 1 of the present invention; Figure 2 This is a temperature rise prediction curve diagram of the second embodiment of the present invention; DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0020] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. Example 1

[0021] Reference Attachment Figure 1 On the one hand, this embodiment provides a homogeneous temperature prediction and control method, including: S1. Establish a temperature rise model in which the homogenization temperature T of the material in the homogenization chamber changes with the homogenization time t: ; Among them, x1 represents the homogenization pressure in the homogenization chamber; x2 represents the homogenization frequency; x3 represents the inlet temperature of the material when it flows into the homogenization chamber; specifically, the homogenization frequency is the reciprocating speed of the plunger pump in the homogenization equipment. The higher the homogenization frequency, the faster the pumped material flow rate and the larger the material flow rate; C1, C2, and C3 represent the weight coefficients corresponding to the homogenization pressure, the weight coefficients corresponding to the homogenization frequency, and the weight coefficients corresponding to the inlet temperature, respectively, and C1+ C2+ C3=1; specifically, since the homogenization pressure is a decisive factor in the influence on heat generation, and the influence of the homogenization pressure on heat generation is greater than that of the inlet temperature and greater than that of the homogenization frequency, the values ​​of C1, C2, and C3 are 0.95≤C1≤1, 0≤C2+ C3 ≤ 0.05, and C3 ≥ C2. In actual production, the value is primarily determined by the homogenization frequency and inlet temperature in the process. Generally, the higher the preset homogenization frequency (e.g., for production-based homogenization equipment), the lower the weight of the homogenization frequency and the smaller the value of C2. The smaller the temperature difference between the inlet temperature and room temperature, the smaller C3. Specifically, when the preset homogenization frequency is high, the impact of adjustments based on this value is significantly smaller than when the base value is low. Furthermore, the curves for homogenization flow rate and homogenization temperature generally show a rapid initial change followed by a gradual slowdown. When the homogenization frequency is low, the flow rate is relatively low, resulting in a steeper slope. Adjusting the frequency based on this trend will result in a more significant change in the homogenization temperature. However, when the homogenization frequency is high, the flow rate is relatively high, resulting in a steeper slope. Adjusting the frequency based on this trend will not significantly change the temperature. Therefore, the homogenization frequency and its weight are generally negatively correlated: the higher the homogenization frequency, the smaller the weight. For example, in existing high-pressure homogenization equipment, the rated homogenization frequency is basically 0~50Hz. When the preset homogenization frequency in the homogenization process is 45Hz, increasing it by 5Hz on this basis will have a relatively small impact on the homogenization temperature. However, when the preset homogenization frequency in the homogenization process is 10Hz, increasing it by 5Hz on this basis will obviously have a more significant impact on the homogenization temperature.

[0022] P1, P2, and P3 represent the influence coefficient of homogenization pressure on homogenization temperature, the influence coefficient of homogenization frequency on homogenization temperature, and the influence coefficient of inlet temperature on homogenization temperature, respectively, and P1, P2, and P3 are any constants between 1 and 3 (including 1 and 3); the values ​​of P1, P2, and P3 are related to the energy conversion efficiency of the high-pressure homogenization equipment. In standard equipment, the influence is linear, and P1, P2, and P3 can take values ​​between 1 and 2. Usually, P1=P2=P3=1 can be assumed by default. In non-standard equipment, the influence on temperature rise under different working conditions is nonlinear. Due to the different internal flow paths of the homogenization pump body, the natural dissipation of heat in the pump body increases, and the values ​​of P1, P2, and P3 increase accordingly, usually between 2 and 3. P1, P2, and P3 are weight factors that reflect the linear and nonlinear degree of the relationship between energy dissipation and temperature rise under different equipment operating conditions. Their value range is obtained by fitting the flow-temperature rise curve through comparative experiments on various models of homogenizers (standard production type and modified type), so that their range roughly falls within the range of 1 to 3.

[0023] β0 represents the maximum temperature rise when the homogenization pressure is 0, and 0≤β0≤3; the heat generated during no-load flow of the material is usually related to the type of material, and the value can be determined based on parameters such as the specific heat capacity of the specific material; due to the temperature of the high-pressure homogenization equipment itself, the ambient temperature, and the specific heat capacity of the material, when there is no homogenization pressure, there is a deviation between the outlet temperature and the inlet temperature of the material. By collecting and summarizing data from multiple no-load flow experiments, the value range of β0 can be obtained.

[0024] β1 represents the influence coefficient of homogenization pressure, homogenization frequency and inlet temperature on homogenization temperature, and 0.02≤β1≤0.03; generally, the higher the value of each process parameter, the larger the value of β1. After the temperature rise model is established, by setting the homogenization time t to infinite, the intermediate term of the temperature rise model is can be ignored, and when t is infinite, the homogeneous temperature T also approaches the maximum temperature rise. At this time, the formula As well as the various parameter values ​​in the actual experiment, fitting calculation is performed to obtain the value range of β1.

[0025] T0 represents the ambient temperature; P0 represents the rate of increase of the homogenization temperature, and 0<P0<10; under normal circumstances, the value of P0 is determined by the maximum flow rate that the plunger pump in the high-pressure homogenizer can reach. When a large flow of material passes through the homogenizing valve at high speed, the strong turbulence and cavitation formed will generate a large amount of heat, thereby intensifying the conversion of mechanical energy into thermal energy, resulting in a higher rate of increase of the homogenization temperature. Therefore, when the diameter, stroke, number and other parameters of the plunger pump in the homogenizing equipment are higher, the value of P0 is relatively larger. Furthermore, the value of P0 usually fluctuates around 1. For a single plunger pump of ordinary diameter, P0 is usually less than 1, and for a multi-plunger pump of large diameter, P0 is usually greater than 1.

[0026] x0 represents the inflection point time when the homogenization temperature changes from a rapid increase to a gradual increase, and 0<x0≤2; specifically, the rapid increase and gradual increase here are relative concepts in actual production. In actual homogenization processing, due to the large temperature difference between the initial temperature in the homogenization chamber and the processing heat at the beginning of the processing, a large amount of heat energy generated by the material during homogenization is transferred to the homogenization chamber, resulting in a rapid increase in the homogenization temperature. When the homogenization temperature approaches the maximum heat generation that the process can achieve, the heat transfer decreases and its increase rate will slow down. The value of x0 is usually related to the homogenization flow rate. Generally, the larger the flow rate, the faster the temperature rises and the smaller the value of x0 is. Furthermore, in actual production, the homogenization equipment involved in the production will be determined in advance, and then the change trend of the homogenization temperature over time under multiple working conditions will be measured using the current homogenization equipment. The change trend is then fitted using software such as origin to obtain values ​​such as P1, P2, P3, β1, P0, and x0.

[0027] S2. Substitute the values ​​of the homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 in the current process into the temperature rise model and draw a temperature rise prediction curve of the homogenization temperature, and then obtain the maximum value T of the homogenization temperature in the temperature rise prediction curve. max By establishing a temperature-rise model and plotting a temperature-rise prediction curve, production personnel can predict the homogenization temperature trend under the current process before the actual homogenization process, facilitating intuitive judgment and thermal management. The temperature-rise prediction curve typically exhibits a rapid initial temperature rise followed by a gradual slowing of the temperature rise as the material temperature approaches steady state. This curve morphology resembles an exponential growth / saturation curve, necessitating a power term to adjust the slope. The (t / x0)^P0 term in the temperature-rise model characterizes the nonlinear temporal evolution of the temperature rise during the homogenization process. Therefore, the dimensionless power term of time is used to adjust the temperature-rise curve shape. This (t / x0)^P0 term allows the steepness of the temperature-rise curve under different operating conditions to be reflected in a unified mathematical model, ensuring that the model is consistent with both experimental data and physical phenomena (rapid temperature rise in the early stages followed by gradual stabilization in the later stages).

[0028] S3. Calculate the maximum temperature that the cooling system can cool in the current process based on the power P (kW) of the high-pressure homogenizer cooling system, the mass flow rate m (kg / s) of the material in the homogenization chamber, the specific heat capacity C (J / kg / °C) of the material in the homogenization chamber, and the required discharge temperature T1 (°C). Specifically, the maximum temperature the cooling system can cool is the highest homogenizing temperature it can tolerate when operating at full power while ensuring the discharge temperature meets the specified standards. This maximum temperature allows production personnel to intuitively determine whether the current homogenization process is compatible with the cooling system.

[0029] S4. Set the maximum homogenization temperature T max Compare this with the maximum temperature T3 that the cooling system can cool: If T max >T3, then at least one of x1, x2, and x3 is adjusted downward, and the process returns to step S2 with the adjusted value. Since process parameters also affect the homogenization effect, when adjusting the homogenization pressure x1, homogenization frequency x2, and liquid inlet temperature x3, a single parameter can be adjusted slightly and re-predicted and verified to ensure both the homogenization temperature and the homogenization effect. Specifically, the homogenization pressure x1 and homogenization frequency x2 can be adjusted by adjusting the pneumatic valve and plunger pump in the homogenization equipment, while the liquid inlet temperature x3 can be adjusted by pre-watering the material. If T max ≤T3, then end the step and determine the current values ​​of homogenization pressure x1, homogenization frequency x2, and inlet liquid temperature x3.

[0030] In this embodiment, ordinary water samples are used as materials for prediction, wherein the homogenization pressure x1 is 1000 bar, the homogenization frequency x2 is 50 Hz, and the inlet temperature x3 is room temperature, i.e., 17.6°C. The homogenization equipment in this embodiment adopts standard production-type homogenization equipment, the homogenization flow rate is very large, and the inlet temperature is room temperature, and the influence of flow rate and temperature can be ignored, so C1=1, C2=C3=0, and P1=P2=P3=1. Ordinary water samples are used for homogenization, and the maximum temperature rise value β0 during no-load flow is 0. Among the process parameters, the homogenization pressure and the inlet temperature are relatively low, so β1 is 0.0236; the ambient temperature T0 is 17.6°C. The equipment in this embodiment adopts a large-diameter single-plunger pump, P0 is 0.8634, and x0 is 0.14532. The temperature rise prediction curve is drawn according to the above parameters as shown in the attached figure. Figure 1 As shown, T can be obtained max The maximum power P of the low-temperature coolant circulation pump equipped with the homogenizer used in this embodiment is 1700W, the mass flow rate m of the material is 0.01667kg / s, the specific heat capacity C is 4180 J / kg / ℃, and the required discharge temperature T1 is 10℃. It can be calculated that the maximum temperature value T3 that the cooling system can refrigerate in the current process is 34.4℃. By comparing T3 with T max By comparison, it can be seen that the cooling system in this embodiment cannot meet the refrigeration demand under the current process. This can realize the prediction of the heat that can be generated by the current process, so that it is convenient for production personnel to gradually reduce the homogenization pressure x1, homogenization frequency x2, and liquid inlet temperature x3, and repeatedly substitute the adjusted parameters into the above method for verification until the maximum homogenization temperature is less than or equal to 34.4℃, thereby realizing the optimization of process parameters.

[0031] By predicting the homogenization temperature, production personnel can grasp the future homogenization situation in advance before actual processing, making it convenient to optimize process parameters in advance based on the prediction results. This not only ensures the matching degree between the homogenization process and the cooling system, but also ensures that the homogenization temperature is always within a safe range during the homogenization process, avoiding quality risks caused by temperature exceeding the limit, improving processing efficiency, and avoiding cost waste; it also enables the process parameters to be adjusted to the optimal state that can take into account both the homogenization effect and the homogenization temperature without the need for actual processing, avoiding failures during actual processing that lead to waste of labor, time, materials, and other costs. The above-mentioned predictive control method for homogenization temperature avoids the drawbacks of traditional monitoring methods based on temperature sensors, making temperature control in homogenization processing more scientific, efficient, and forward-looking.

[0032] In a more preferred embodiment, the homogenization temperature prediction and control method further includes presetting a homogenization pressure threshold a1, a homogenization flow rate threshold a2, and a liquid inlet temperature threshold a3, and x1 ≥ a1, x2 ≥ a2, and x3 ≥ a3; substituting x1 = a1 or / and x2 = a2 or / and x3 = a3 into the temperature rise model of step S1, and obtaining the maximum homogenization temperature T under this process according to the temperature rise prediction curve. max ', if T max '>T3, then replace the high-power high-pressure homogenizer cooling system and re-execute step S2. In actual processing, since the replacement process of the cooling system is relatively complicated, and the power of the cooling system that can be carried by different types of equipment is also different, the selection process of the cooling system is also quite cumbersome. Usually, high-power systems are used as much as possible to ensure the cooling effect. However, this will also cause equipment occupation and energy consumption, which is not conducive to homogenization processing. In this solution, by setting the lower limit values ​​of the homogenization pressure, homogenization flow rate and inlet temperature, it can be verified whether the power of the cooling system currently loaded in the high-pressure homogenization equipment meets the minimum usage requirements of the current process, which is convenient for production personnel to replace the cooling system that meets the requirements in advance, reduce the difficulty of cooling system selection, and further improve the efficiency and effect of homogenization processing. In this embodiment, the values ​​of x1, x2, and x3 are set as thresholds, and the maximum temperature value that the cooling system can cool in the current process is converted to , it can be calculated that the cooling system power that can meet the current process refrigeration needs is 2.16kw, which makes it convenient for production personnel to replace the cooling system that meets the requirements.

[0033] On the other hand, this embodiment further provides a high-pressure homogenizer, which adopts the above-mentioned homogenization temperature prediction and control method. Example 2

[0034] Reference Attachment Figure 2The difference between this embodiment and the first embodiment is that: in this embodiment, an experimental homogenizer HPH-L2 is used to homogenize the material, and the material is heated to 55°C in a water bath before homogenization. The experimental homogenizer is a non-standard equipment with a small-diameter single-plunger pump. In this embodiment, the homogenization pressure x1 is 1000 bar, the homogenization frequency x2 is 50 Hz, the liquid inlet temperature x3 is 55°C, C1=0.95, C2=0.01, C3=0.04, and P1=P2=1, P3=2.13; β0=0.5, β1=0.025, the ambient temperature T0 is 20°C; P0 is 0.3, and x0 is 1.1. The temperature rise prediction curve is drawn according to the above parameters as shown in the attached figure. Figure 2 As shown, T can be obtained max The maximum power P of the laboratory chiller equipped with the homogenizing equipment used in this embodiment is 4900W, the mass flow rate m of the material is 0.01667kg / s, the specific heat capacity C is 4180 J / kg / ℃, and the required discharge temperature T1 is 10℃. It can be calculated that the maximum temperature value T3 that the cooling system can refrigerate in the current process is 80.3℃. By comparing T3 with T max By comparison, it can be seen that the cooling system in this embodiment can meet the refrigeration requirements under the current process. There is no need to adjust the process or replace the cooling system with other models. Homogenization processing or experiments can be carried out on this basis.

[0035] Due to the application of the above technical solution, the present invention has the following advantages over the prior art: The homogenization temperature prediction and control method of the present invention and the high-pressure homogenizer using the method, through the prediction of the homogenization temperature, enable production personnel to grasp the future homogenization situation in advance before actual processing, and facilitate the optimization of process parameters in advance according to the prediction results. It can not only ensure the matching degree of the homogenization process and the cooling system, ensure that the homogenization temperature is always within a safe range during the homogenization process, avoid the quality risks caused by temperature exceeding the limit, improve processing efficiency, and avoid cost waste; it can also achieve that the process parameters can be adjusted to the optimal state that can take into account both the homogenization effect and the homogenization temperature without actual processing, avoiding failures during actual processing and resulting in waste of labor, time, materials and other costs. Through the above-mentioned prediction and control method for homogenization temperature, the disadvantages of the traditional monitoring method based on temperature sensors are avoided, making the temperature control in the homogenization process more scientific, efficient and forward-looking.

[0036] The above embodiments are only for illustrating the technical concept and features of the present invention. Their purpose is to enable people familiar with this technology to understand the contents of the present invention and implement them accordingly. They are not intended to limit the scope of protection of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. A homogenization temperature prediction and control method, characterized in that: include, S1. Establish a temperature rise model in which the homogenization temperature T of the material in the homogenization chamber changes with the homogenization time t: ; Wherein, x1 represents the homogenization pressure in the homogenization chamber; x2 represents the homogenization frequency; x3 represents the inlet temperature of the liquid when the material flows into the homogenization chamber; C1, C2, and C3 represent the weight coefficients corresponding to the homogenization pressure, the weight coefficients corresponding to the homogenization frequency, and the weight coefficients corresponding to the inlet temperature, respectively, and C1+C2+C3=1; P1, P2, and P3 represent the influence coefficients of the homogenization pressure on the homogenization temperature, the influence coefficients of the homogenization frequency on the homogenization temperature, and the influence coefficients of the inlet temperature on the homogenization temperature, respectively, and P1, P2, and P3 are any constants between 1 and 3; β0 represents the maximum temperature rise when the homogenization pressure is 0, and 0≤β0≤3; β1 represents the influence coefficients of the homogenization pressure, homogenization frequency, and inlet temperature on the homogenization temperature, and 0.02≤β1≤0.03; T0 represents the ambient temperature; P0 represents the rate of increase of the homogenization temperature, and 0<P0<10; x0 represents the inflection point time when the homogenization temperature changes from a rapid increase to a gradual increase, and 0<x0≤2; S2. Substitute the values ​​of the homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 in the current process into the temperature rise model and draw a temperature rise prediction curve of the homogenization temperature, and then obtain the maximum value T of the homogenization temperature in the temperature rise prediction curve. max ; S3. Calculate the maximum temperature that the cooling system can cool in the current process based on the power P (kW) of the high-pressure homogenizer cooling system, the mass flow rate m (kg / s) of the material in the homogenization chamber, the specific heat capacity C (J / kg / °C) of the material in the homogenization chamber, and the required discharge temperature T1 (°C). ; S4. Set the maximum homogenization temperature T max Compare this with the maximum temperature T3 that the cooling system can cool: If T max >T3, then at least one of x1, x2, and x3 is adjusted downward, and the process returns to step S2 with the adjusted value; If T max ≤T3, then end the step and determine the current values ​​of homogenization pressure x1, homogenization frequency x2, and inlet liquid temperature x3.

2. The homogenization temperature prediction and control method according to claim 1, characterized in that: Step S1 also includes: 0.95≤C1≤1, 0≤C2+C3≤0.05, and C3≥C2.

3. The homogenization temperature prediction and control method according to claim 1, characterized in that: It also includes a preset homogenization pressure threshold a1, a homogenization flow rate threshold a2, and an inlet liquid temperature threshold a3, and x1≥a1, x2≥a2, and x3≥a3.

4. The homogenization temperature prediction and control method according to claim 3, characterized in that: Substitute x1=a1 or / and x2=a2 or / and x3=a3 into the temperature rise model of step S1, and obtain the maximum homogenization temperature T under this process according to the temperature rise prediction curve. max ', if T max '>T3, then replace the high-pressure homogenizer cooling system with a higher power and execute step S2 again.

5. A high-pressure homogenizer, characterized in that: The homogenization temperature prediction and control method according to any one of claims 1 to 4 is adopted.

Citation Information

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