A method for evaluating warp tension stability

Abstract

This invention belongs to the field of textile machinery technology and discloses a method for evaluating warp tension stability. The method includes the following steps: setting fabric structure information and starting the loom; detecting the warp tension of the fabric and calculating the dispersion coefficient V of the warp tension within time T. s1 The method detects the number of pills in the fabric within a time period T and calculates the pilling frequency f; it then determines whether the warp tension needs adjustment. The warp tension stability assessment method provided by this invention, when the dispersion coefficient V... s1 When the number of pilling events f ≤ b, the warp tension meets the requirements; otherwise, adjust the warp tension and re-evaluate whether the warp tension meets the requirements to effectively ensure that the warp tension is appropriate, thereby ensuring the fabric quality.

Description

Technical Field

[0001] This invention relates to the field of textile machinery technology, and in particular to a method for evaluating the stability of warp tension. Background Technology

[0002] The loom is one of the most commonly used pieces of equipment in the textile industry. During the weaving process, the design of the fabric structure causes the heald frames to move up and down regularly, resulting in fluctuations in warp tension. Appropriate warp tension is essential for opening the shed, tightening the weft yarns, and forming the fabric. Therefore, selecting suitable warp tension is of great significance for the rational selection of weaving process parameters. The magnitude and variation of warp tension have a significant impact on yarn, fabric formation, and fabric properties; both excessive and insufficient warp tension will affect fabric quality. Therefore, a method for evaluating the stability of warp tension is urgently needed to solve the aforementioned calculation problems. Summary of the Invention

[0003] The purpose of this invention is to provide a method for evaluating the stability of warp tension, so as to ensure that the warp tension is appropriate and the fabric quality is guaranteed.

[0004] To achieve this objective, the present invention adopts the following technical solution:

[0005] A method for evaluating warp tension stability is provided, applied to a loom. The method includes the following steps:

[0006] S100: Set the fabric structure information and start the loom;

[0007] S200. Detect the warp tension of the fabric and calculate the coefficient of variation V of the warp tension within time T. s1 ;

[0008] S300, Detect the number of pills in the fabric within the detection time T, and calculate the pilling frequency f of the fabric;

[0009] S400, Determine whether the discrete coefficient V is satisfied. s1 If the number of pilling events is ≤ a%, the frequency f ≤ b; if yes, the warp tension meets the requirements; if no, adjust the warp tension.

[0010] S500, Repeat steps S200 to S400.

[0011] Optionally, in step S200, the tension information of at least one warp yarn is detected by at least one force sensor and transmitted to the host computer for calculation.

[0012] Optionally, each force sensor detects the tension information of a corresponding set of warp yarns and transmits it to the host computer for calculation, wherein the warp yarn set includes multiple warp yarns.

[0013] Optionally, each of the force sensors detects the tension information of the corresponding single warp yarn and transmits it to the host computer for calculation.

[0014] Optionally, the force sensor is configured as a tension sensor, and the corresponding warp yarn is wound on the roller of the tension sensor.

[0015] Optionally, a magnetic base is detachably provided on the loom, and the force sensor is provided on the magnetic base.

[0016] Optionally, when the warp tension meets the requirements, the dispersion coefficient V s1 Satisfying 5% ≤ V s1 ≤8%.

[0017] Optionally, when the warp tension meets the requirements, the pilling frequency f satisfies 0.25 times / h ≤ f ≤ 0.5 times / h.

[0018] Optionally, step S200 further includes the following steps:

[0019] Calculate the concentrated distribution rate P of the warp tension, where,

[0020] P = (nm) / n, T = nt, m is the total number of values ​​where the ratio between the fluctuation difference Δ of the warp tension in each time period t and the average value F of the warp tension in time T is greater than or equal to x; and step S400 includes the following steps:

[0021] Determine whether the discrete coefficient V is satisfied. s1 If the number of pilling events is ≤ a%, the pilling frequency f ≤ b, and the concentration distribution rate P ≥ 90%, then the warp tension meets the requirements; otherwise, adjust the warp tension.

[0022] Optionally, the following step may be included between step S100 and step S400:

[0023] S110. Measure the width B of the fabric at multiple locations, and calculate the coefficient of variation V corresponding to the measured width B. s2 ;as well as

[0024] Step S400 includes the following steps:

[0025] Determine whether the discrete coefficient V is satisfied. s1 <a%, balling frequency f<b, coefficient of variation V s2 <c%, if yes, the warp tension meets the requirements; if no, adjust the warp tension.

[0026] Beneficial effects:

[0027] The warp tension stability evaluation method provided by this invention uses the dispersion coefficient V s1 The frequency of pilling (f) is used to determine whether the warping yarn tension meets the requirements, i.e., when the dispersion coefficient V... s1 When the pilling frequency f ≤ b, the warp tension meets the requirements; otherwise, the warp tension does not meet the requirements. When the warp tension does not meet the requirements, the warp tension needs to be adjusted, and a new dispersion coefficient V needs to be calculated. s1 The frequency of pilling (f) is used to determine whether the warp tension meets the requirements. If the warp tension does not meet the requirements, the warp tension is adjusted again and evaluated. This process is repeated to effectively ensure that the warp tension is appropriate, thereby ensuring the quality of the fabric. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating the warp tension stability evaluation method provided by the present invention;

[0029] Figure 2 This is a partial structural schematic diagram of the loom provided by the present invention.

[0030] In the picture:

[0031] 100. Loom; 110. Warp frame; 120. Back beam; 200. Fabric; 210. Warp yarn; 300. Force sensor; 400. Magnetic base. Detailed Implementation

[0032] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0033] In the description of this invention, unless otherwise explicitly specified and limited, the terms "connected," "linked," and "fixed" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0034] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0035] In the description of this embodiment, the terms "upper," "lower," "right," etc., refer to the orientation or positional relationship shown in the accompanying drawings. They are used only for ease of description and simplification of operation, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. In addition, the terms "first" and "second" are used only for distinction in description and have no special meaning.

[0036] Reference Figure 1 As shown, this embodiment provides a method for evaluating warp tension stability, applied to a loom 100. This evaluation method has significant guiding significance for the selection of reasonable weaving processes and the improvement of weaving efficiency. The loom 100 is prior art, and will not be described in detail here.

[0037] Specifically, the method for assessing warp tension stability includes the following steps:

[0038] S100: Set the fabric structure information for fabric 200 and start the loom 100.

[0039] S200: Detect the warp tension of fabric 200 and calculate the coefficient of variation V of the warp tension within time T. s1 .

[0040] S300, detect the number of pills in fabric 200 within the detection time T, and calculate the pilling frequency f of fabric 200.

[0041] S400, Determine whether the discrete coefficient V is satisfied. s1 If the number of pilling events is ≤ a%, the frequency f ≤ b; if yes, the warp tension meets the requirements; if not, adjust the warp tension.

[0042] S500, Repeat steps S200 to S400.

[0043] Steps S200 and S300 are not in any particular order.

[0044] The warp tension stability evaluation method provided in this embodiment is particularly applicable to biomedical polymer materials, but it is also applicable to other fabric materials, and this application does not limit it.

[0045] In this embodiment, through the discrete coefficient V s1 The pilling frequency f is used to determine whether the tension of the warp yarn meets the requirements, i.e., when the dispersion coefficient V s1 When the pilling frequency f ≤ b, the warp tension meets the requirements; otherwise, the warp tension does not meet the requirements. When the warp tension does not meet the requirements, the warp tension needs to be adjusted, and a new dispersion coefficient V needs to be calculated. s1 The frequency of pilling (f) is used to reassess whether the warp tension meets the requirements. If the warp tension does not meet the requirements, it is adjusted again and evaluated. This process is repeated to effectively ensure that the warp tension is appropriate, thereby ensuring the fabric quality. Furthermore, by continuously checking whether the overall warp tension meets the requirements (i.e., repeatedly performing steps S200 to S400), the warp tension can be monitored and evaluated in real time. When the warp tension does not meet the requirements, it can be adjusted promptly.

[0046] Preferably, a ≤ 10. The value of a can be selected based on the weave information of fabric 200. Of course, a can also be selected as other values, and this application does not impose specific limitations. In this embodiment, while ensuring that the warp tension meets the requirements, the dispersion coefficient V... s1 Satisfying 5% ≤ V s1 When the warp tension is ≤8%, the warp tension is more stable, and the fabric quality is better.

[0047] Preferably, b ≤ 1. The value of b can be selected based on the weave information of fabric 200. Of course, b can also be selected as other values, which are not specifically limited in this application. In this embodiment, while ensuring that the warp tension meets the requirements, the pilling frequency f satisfies 0.25 times / h ≤ f ≤ 0.5 times / h, resulting in more stable warp tension and better quality fabric 200.

[0048] In this embodiment, in step S100, the fabric 200's structure information may include the fabric 200 material, fabric 200 linear density, warp tension limit value, and fabric pattern, etc. For different structure information, the warp tension value is different, and data can be recorded. By comprehensively comparing multiple sets of warp tension data with the same structure information, the range of warp tension for various fabrics 200 with stable and good quality can be deduced. When the warp tension does not meet the requirements during the operation of the loom 100, the warp tension can be adjusted in a timely and accurate manner to ensure the quality of the fabric 200.

[0049] In this embodiment, in step S200, the tension information of at least one warp yarn 210 is detected by at least one force sensor 300 and transmitted to the host computer for calculation. The host computer calculates the average value and standard deviation of the warp yarn tension based on the tension information and obtains the coefficient of variation V. s1 Accurate and reliable. Among them, the upper mean, standard deviation, and coefficient of variation V... s1 The calculation method is existing technology, and this application will not elaborate on it further.

[0050] For example, the host computer can be a computer, the controller of the loom 100, etc., and this application does not limit it. When the host computer is a computer, the computer can be electrically connected to the controller of the loom 100, and the computer can directly control the loom 100 to adjust the warp tension.

[0051] For example, the force sensor 300 is configured as a tension sensor 300, with the corresponding warp yarn 210 wound on the roller of the tension sensor 300. The tension sensor 300 directly detects the warp yarn 210, achieving high detection accuracy and effectively ensuring the accuracy of the warp yarn tension stability assessment. For example, the tension sensor 300 is used to detect the warp yarn tension of the warp yarn 210 between the back beam 120 and the warp frame 110 of the loom 100.

[0052] In one feasible implementation, a magnetic base 400 is detachably mounted on the loom 100, and a force sensor 300 is mounted on the magnetic base 400. In this embodiment, the position of the force sensor 300 can be adjusted by the magnetic base 400 to adapt to different fabric structures 200. The magnetic base 400 is prior art and will not be described in detail here. Exemplarily, the magnetic base 400 is detachably mounted between the back beam 120 and the longitudinal frame 110.

[0053] In some embodiments, each force sensor 300 detects the tension information of a corresponding set of warp yarns and transmits it to a host computer for calculation. A warp yarn set includes multiple warp yarns 210. The tension of each warp yarn varies; by detecting a larger number of warp yarns 210, the accuracy of the force sensor 300 is ensured, thereby guaranteeing the coefficient of variation V. s1 The accuracy.

[0054] In other embodiments, each force sensor 300 detects the tension information of its corresponding single warp yarn 210 and transmits it to a host computer for calculation. In this method, the force sensor 300 detects a portion of the warp yarns 210 one-to-one, providing high accuracy and ensuring the stability of the coefficient of variation V. s1 The accuracy.

[0055] In this embodiment, the discrete coefficient V can be calculated one-to-one with the tension information obtained from each force sensor 300.s1 , forming a set of V s1 Data, only when all the discrete coefficients V of the group s1 When the pilling frequency f ≤ b, the warp tension meets the requirements. Alternatively, the tension information obtained from all force sensors 300 can be integrated and a discrete coefficient V can be calculated. s1 .

[0056] In this embodiment, step S200 further includes the following steps:

[0057] Calculate the concentration distribution rate P of the warp tension.

[0058] Where P = (nm) / n. In this embodiment, T = nt, which can be understood as dividing time T into n time periods t. Further, m is the total number of values ​​where the ratio between the fluctuation difference Δ of warp tension in each time period t and the average value F of warp tension in time T is greater than or equal to x. The fluctuation difference Δ refers to the larger of the following values: the maximum value of warp tension in time period t minus the average value F of warp tension in time T, and the average value F of warp tension in time T minus the minimum value of warp tension in time period t.

[0059] For example, x ≤ 0.05, such as x being set to 0.02, 0.03, or 0.04. The value of x can be selected based on the fabric structure information of the fabric 200. Of course, x can also be selected as other values, and this application does not specifically limit this.

[0060] Specifically, step S400 includes the following steps:

[0061] Determine whether the discrete coefficient V is satisfied. s1 If the number of pilling events is ≤ a%, the pilling frequency f ≤ b, and the concentration distribution rate P ≥ 90%, then the warp tension meets the requirements; otherwise, adjust the warp tension and repeat steps S200 and S300.

[0062] To ensure more stable warp tension, the value of the concentration distribution rate P can be further limited when the warp tension meets the requirements, for example: concentration distribution rate P ≥ 92% or concentration distribution rate P ≥ 95%.

[0063] In this embodiment, the concentration distribution rate P is combined with the dispersion coefficient V. s1 The frequency of pilling (f) allows for better assessment of warp tension, enabling timely adjustment of warp tension and thus ensuring fabric quality.

[0064] In this embodiment, the following step is further included between step S100 and step S400:

[0065] S110. Measure the width B of the fabric at more than 200 locations, and calculate the coefficient of variation V corresponding to the measured width B. s2 .

[0066] In this case, S110 is not in any particular order with steps S200 and S300.

[0067] For example, a 1m-2m long piece of fabric 200 can be randomly selected, and its width B can be measured every 2cm-10cm. For instance, a 1m long piece of fabric 200 can be randomly selected, and its width B can be measured every 5cm. The width B of the fabric 200 can be measured using a ruler. Of course, the width B of the fabric 200 can also be measured in other ways, and this application does not limit this method.

[0068] Specifically, step S400 includes the following steps:

[0069] Determine whether the discrete coefficient V is satisfied. s1 <a%, balling frequency f<b, coefficient of variation V s2 <c%, if yes, the warp tension meets the requirements; if not, adjust the warp tension.

[0070] In this embodiment, step S500 requires repeating steps S110, S200 to S400.

[0071] In this embodiment, through the discrete coefficient V s2 Combined with the discrete coefficient V s1 The frequency of pilling (f) allows for better assessment of warp tension, enabling timely adjustment of warp tension and thus ensuring fabric quality.

[0072] For example, the value of c is selected based on the weave information of fabric 200, and preferably, c ≤ 8. In this embodiment, while ensuring that the warp tension meets the requirements, the dispersion coefficient V s2 Satisfying 2% ≤ V s2 With a tension of ≤5%, the warp tension is more stable, resulting in better fabric quality.

[0073] In one feasible implementation, step S400 includes the following steps:

[0074] Determine whether the discrete coefficient V is satisfied. s1 <a%, balling frequency f<b, concentrated distribution rate P, coefficient of variation V s2 <c%, if yes, the warp tension meets the requirements; if not, adjust the warp tension.

[0075] In this embodiment, step S500 requires repeating steps S110, S200 to S400.

[0076] In this embodiment, through the discrete coefficient V s1Balling frequency f, concentration distribution rate P, and dispersion coefficient V s2 Four parameters determine whether the warp tension meets the requirements, which can better ensure the quality of the fabric.

[0077] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art will be able to make various obvious changes, readjustments, and substitutions without departing from the scope of protection of the present invention. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the thread tension stability, applied to a loom (100), characterized in that, The method for evaluating warp tension stability includes the following steps: S100: Set the fabric (200) structure information and start the loom (100). S200, detecting the warp yarn tension of the fabric (200) and calculating the dispersion coefficient V of the warp yarn tension in time T s1 ; S300, Detect the number of pills on the fabric (200) within the detection time T, and calculate the pilling frequency f of the fabric (200); S400, determining whether a discrete coefficient V is satisfied s1 If yes, the warp yarn tension meets the requirements; if no, adjusting the warp yarn tension; wherein a≤10, b≤1. S500, Repeat steps S200 to S400.

2. The yarn tension stability evaluation method according to claim 1, characterized by, In step S200, tension information of at least one warp yarn (210) is detected by at least one force sensor (300) and transmitted to the host computer for calculation.

3. The yarn tension stability evaluation method according to claim 2, characterized by, Each of the force sensors (300) detects the tension information of a corresponding set of warp yarns and transmits it to the host computer for calculation. The warp yarn set includes multiple warp yarns (210).

4. The yarn tension stability evaluation method according to claim 2, characterized by, Each of the force sensors (300) detects the tension information of the corresponding single warp yarn (210) and transmits it to the host computer for calculation.

5. The method for evaluating warp tension stability according to claim 2, characterized in that, The force sensor (300) is configured as a tension sensor (300), and the corresponding warp yarn (210) is wound on the roller of the tension sensor (300).

6. The yarn tension stability evaluation method according to claim 2, wherein A magnetic base (400) is detachably installed on the loom (100), and the force sensor (300) is installed on the magnetic base (400).

7. The yarn tension stability evaluation method according to claim 1, wherein The yarn tension meets the requirements, the discrete coefficient V s1 5%≤V s1 ≤8%.

8. The yarn tension stability evaluation method according to claim 1, wherein, When the warp tension meets the requirements, the pilling frequency f satisfies 0.25 times / h ≤ f ≤ 0.5 times / h.

9. The thread tension stability evaluation method according to any one of claims 1 to 8, characterized by, Step S200 further includes the following steps: Calculate the concentrated distribution rate P of the warp tension, where, P = (nm) / n, T = nt, where n is the number of time intervals t that divide time T into, and m is the total number of values ​​where the ratio between the fluctuation difference Δ of the warp tension in each time interval t and the average value F of the warp tension in time T is greater than or equal to x, where x ≤ 0.05; and Step S400 includes the following steps: determining whether the discrete coefficient V s1 ≤a%, the pilling frequency f≤b, the concentrated distribution rate P≥90%, if yes, the warp yarn tension meets the requirements; if not, adjusting the warp yarn tension, and repeating the step S200 and the step S300.

10. The yarn tension stability evaluation method according to any one of claims 1 to 8, characterized by, The following steps are also included between step S100 and step S400: S110, measuring the width B of the fabric (200) at multiple positions, and calculating the discrete coefficient V corresponding to the measured width B s2 ; and Step S400 includes the following steps: Determine if the discrete coefficient V is satisfied s1 <a%, balling frequency f<b, dispersion coefficient V s2 <c%, if yes, the warp tension meets the requirements; if no, adjust the warp tension and repeat steps S110, S200 to S400, where c≤8.

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