A method for testing and evaluating the softness and comfort of fabrics

Abstract

The present invention discloses a method for detecting and evaluating the softness and comfort of fabrics. The values ​​of three indicators, namely, softness, looseness and softness of the fabrics, are tested and Z-Score normalized to obtain the values ​​Lz, Bz and Rz. The softness and comfort S of the fabrics is calculated using formula (1): #imgabs0# (1) The larger the S value, the higher the softness and comfort of the fabric. w1, w2, and w3 are the weight coefficients of the three indicators of fabric softness, looseness, and softness, respectively, and w1+w2+w3=1. For thin fabrics, the values ​​of w1, w2, and w3 are 0.5-0.8, 0.1-0.2, and 0.1-0.2, respectively. For medium-thick fabrics, the values ​​of w1, w2, and w3 are 0.3-0.4, 0.4-0.6, and 0.3-0.5, respectively. For thick fabrics, the values ​​of w1, w2, and w3 are 0.1-0.2, 0.3-0.6, and 0.3-0.6, respectively. The present invention provides a more systematic and comprehensive method for detecting and evaluating the softness of fabrics, which effectively supplements the current softness evaluation method in the industry and can more intuitively help consumers better perceive the softness when purchasing, prompting them to make purchasing decisions.

Description

Technical Field

[0001] The invention relates to a method for detecting and evaluating the softness and comfort of fabrics, and belongs to the technical field of fabric detection. Background Art

[0002] Softness is a key factor in underwear comfort, but the judgment of softness often varies from person to person. Currently, the evaluation of softness performance in the textile industry is incomplete, with only methods for measuring bending and compression properties. These methods are not suitable for soft underwear containing fine short pile, and cannot evaluate the skin-friendly properties of down-containing products, making it difficult to reflect consumers' true needs and actual experiences.

[0003] The human body experiences a complex process of contact, including pressure, contact, lateral movement, sliding, point pressure, prodding, and pricking, resulting in sensations of hardness, softness, roughness, and delicacy. A single evaluation method cannot fully reflect the impact of fabric softness on human comfort during actual wear, nor does it help consumers intuitively understand product performance and make purchasing decisions. Summary of the Invention

[0004] The present invention aims to overcome the shortcomings of the existing technology by providing a method for testing and evaluating the softness and comfort of fabrics. Based on the actual needs and experiences of consumers and combined with industry research experience, the present invention evaluates the deformation properties (i.e., softness) of fabrics from three dimensions: horizontal, vertical, and microscopic. This "visualizes" the softness of fabrics and provides a statistically accurate description of the softness of garments. This method can help consumers more intuitively perceive the softness of fabrics before purchasing, thus motivating them to make purchasing decisions.

[0005] To achieve the above technical objectives, the technical solution adopted in the embodiment of the present invention is:

[0006] A method for testing and evaluating the softness and comfort of fabrics, which tests the values ​​of the three indicators of fabric softness, looseness and softness, performs Z-Score normalization on the values ​​of the three indicators of softness, looseness and softness, and obtains the value L z 、B z 、R z , the fabric softness and comfort S is calculated using formula (1):

[0007]

[0008] The larger the S value is, the softer and more comfortable the fabric is. w1, w2, and w3 are the weight coefficients of the three indicators of fabric softness, looseness, and softness, respectively. w1+w2+w3=1;

[0009] For weight less than 200g / m 2For thin fabrics, the value ranges of w1, w2, and w3 are 0.5-0.8, 0.1-0.2, and 0.1-0.2 respectively;

[0010] For weight between 200-350g / m 2 For medium-thick fabrics, the value ranges of w1, w2, and w3 are 0.3-0.4, 0.4-0.6, and 0.3-0.5 respectively;

[0011] For weight greater than 350g / m 2 For thick fabrics, the value ranges of w1, w2, and w3 are 0.1-0.2, 0.3-0.6, and 0.3-0.6 respectively.

[0012] Furthermore, when performing Z-Score normalization on the values ​​of the three indicators of flexibility, looseness, and softness, the following steps are included:

[0013] ① Use the standard deviation formula (2) to calculate the standard deviation σ of the overall data of the three indicators of flexibility, looseness and softness:

[0014]

[0015] Where μ is the mean of the overall data;

[0016] ② Use Z-Score standardized conversion formula (3) to calculate Lz, Bz, and Rz of the three indicators of flexibility, looseness, and softness:

[0017]

[0018] Where x is the observed value of the individual.

[0019] Furthermore, flexibility describes the horizontal deformation performance of the fabric, which corresponds to the bending performance of the fabric. The flexibility test method includes the following steps:

[0020] Step 1: Cut the fabric to be tested into a rectangular sample and draw a mark line 2 cm from one end of the rectangular sample;

[0021] Step 2: Fold the rectangular specimen in half along its edges and clamp it on the test device along the marked line, with the marked line set horizontally. Turn the fixed rectangular specimen inward and let it hang naturally downward to form a ring. Measure the distance L between the highest and lowest points of the ring specimen and record it as the flexibility value in mm.

[0022] Step 3: Take at least 10 pieces of fabric to be tested scattered across the entire width of the door and test them according to the methods of steps 1 and 2. Calculate the arithmetic mean μ of the distance L between the highest point and the lowest point of the multiple ring specimens. L , μ LThe larger the value, the better the bending performance of the fabric.

[0023] Furthermore, looseness describes the deformation performance of the fabric in the vertical direction, which corresponds to the fluffiness of the fabric. The test method of looseness includes the following steps:

[0024] Step S1: Cut the fabric to be tested into square specimens, lay them flat and wrinkle-free on the test bench, and measure the thickness h on the thickness measuring device in mm;

[0025] Step S2: Use a hand-pressed sampling knife to press the square sample to obtain a circular sample, and weigh the mass m of the circular sample;

[0026] Step S3: Calculate the looseness of the fabric being tested, B = 10*h / m, in cm 3 / g;

[0027] Step S4: Take at least 10 pieces of fabric to be tested and test them according to the method of steps S1-S3 in a dispersed manner across the entire width of the door, and calculate the arithmetic mean μ of the looseness B of the multiple fabrics. B , μ B The larger the value, the better the fluffy performance of the fabric.

[0028] Furthermore, softness is an evaluation of the deformation performance of the fabric surface hair from a microscopic perspective. The corresponding softness and delicate performance of the fabric surface hair refers to the soft and comfortable feeling produced by the skin contacting the fabric surface hair. The softness test method includes the following steps:

[0029] St1: Use a hand-pressed sampling knife to press the fabric to obtain a circular sample;

[0030] St2: Place the circular sample in the test slot of the softness analysis equipment with the test surface facing upwards and fix it with a pressure ring. Keep the sample surface flat and then lock the sample with a nut. Start the equipment and obtain the softness data R.

[0031] St3: Take at least 10 pieces of fabric to be tested scattered across the entire width of the door and test them according to the methods of steps St1 to St2, and calculate the arithmetic mean μ of the softness R of multiple fabrics. R , μ R The smaller the value, the finer the velvet feel of the fabric.

[0032] Furthermore, the flexibility testing device used in the flexibility test includes an iron frame and a fixing clip, wherein the iron frame includes an iron frame base and a column, and the fixing clip is fastened to the column by screws, and the fixing clip is arranged parallel to the ground;

[0033] The fixing clip is composed of two stainless steel sheets with a length of 15-20 cm. The two stainless steel sheets are fastened at the tail ends by screws. When testing the sample, the sample is clamped between the two stainless steel sheets along the marked line.

[0034] Furthermore, the softness detection equipment used in the softness test includes a fixing device, a testing device and a display device. The fixing device includes a test slot for placing the fabric sample, a pressure ring and a nut that can be put on the test slot to fix the fabric sample. The test slot and the pressure ring are both cylindrical hollow structures. The diameter of the pressure ring is slightly larger than the test slot. The nut is used to fasten the test slot and the pressure ring.

[0035] The testing device includes a measuring head, a wing wheel, a stepper motor, and a vibration sensor. The wing wheel is fixed to the measuring head, and the stepper motor drives the wing wheel to rotate. The measuring head can move up and down. The vibration sensor is located at the bottom of the test tank and is used to collect and record the sound of the rotating wing wheel scraping the fabric.

[0036] The display device is used to display the amplitude of the sound wave recorded by the vibration sensor, so as to obtain the softness data.

[0037] The technical solution provided by the embodiment of the present invention has the following beneficial effects:

[0038] This invention is based on the real needs and actual experience of consumers, combined with industry research experience, to evaluate the deformation performance (i.e., softness) of fabrics from three dimensions: horizontal, vertical, and microscopic. This makes the softness "visualized" and explains the softness of clothing from a data perspective, which can more intuitively help consumers better perceive the softness when purchasing and prompt them to make purchasing decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 Schematic diagram of the structure of a textile softness tester and analyzer according to an embodiment of the present invention.

[0040] Figure 2 Schematic diagram of the structure of the flexibility detection device in an embodiment of the present invention.

[0041] Figure 3 Schematic diagram of flexibility detection in an embodiment of the present invention.

[0042] Explanation of the reference numerals: 1-temperature and humidity sensor; 2-measuring head; 3-wing wheel; 4-test slot; 5-pressure ring; 6-display; 7-base; 8-vibration sensor; 9-stepping motor; 10-nut; 11-pressure ring positioner; 12-iron frame base; 13-iron frame column; 14-fixing clip; 15-screw. DETAILED DESCRIPTION

[0043] A method for testing and evaluating the softness and comfort of fabrics, which tests the values ​​of the three indicators of fabric softness, looseness and softness, performs Z-Score normalization on the values ​​of the three indicators of softness, looseness and softness, and obtains the value L z 、B z 、R z , the fabric softness and comfort S is calculated using formula (1):

[0044]

[0045] The larger the S value is, the softer and more comfortable the fabric is. w1, w2, and w3 are the weight coefficients of the three indicators of fabric softness, looseness, and softness, respectively. w1+w2+w3=1;

[0046] For weight less than 200g / m 2 For thin fabrics, the value ranges of w1, w2, and w3 are 0.5-0.8, 0.1-0.2, and 0.1-0.2 respectively;

[0047] For weight between 200-350g / m 2 For medium-thick fabrics, the value ranges of w1, w2, and w3 are 0.3-0.4, 0.4-0.6, and 0.3-0.5 respectively;

[0048] For weight greater than 350g / m 2 For thick fabrics, the value ranges of w1, w2, and w3 are 0.1-0.2, 0.3-0.6, and 0.3-0.6 respectively; the above weight coefficients can be adjusted according to actual conditions.

[0049] Specifically, the Z-Score normalization process for the three indicators of fabric softness, bulk, and flexibility includes the following steps:

[0050] ① Use the standard deviation formula (2) to calculate the standard deviation σ of the overall data of the three indicators of flexibility, looseness and softness:

[0051]

[0052] Where μ is the mean of the overall data;

[0053] ② Use Z-Score standardized conversion formula (3) to calculate Lz, Bz, and Rz of the three indicators of flexibility, looseness, and softness:

[0054]

[0055] Where x is the observed value of the individual.

[0056] Among them, flexibility describes the deformation performance of the fabric in the horizontal direction, which corresponds to the bending performance of the fabric. The flexibility testing equipment used in the flexibility test is as follows: Figure 2 As shown, it includes an iron frame and a fixing clip 14. The iron frame includes an iron frame base 12 and a column 13. The fixing clip 14 is fastened to the column 13 by screws, and the fixing clip 14 is arranged parallel to the ground.

[0057] The fixing clamp 14 is composed of two stainless steel sheets, which are fastened at the tail end by screws. When testing the sample, the sample is clamped between the two stainless steel sheets along the mark line.

[0058] The flexibility test method includes the following steps:

[0059] Step 1: Figure 3 As shown, cut the fabric to be tested into a rectangular specimen and draw a mark line 2 cm from one end of the rectangular specimen;

[0060] Step 2: Fold the rectangular specimen in half along its edges and clamp it on the test device along the marked line, with the marked line set horizontally. Turn the fixed rectangular specimen inward and let it hang naturally downward to form a ring. Measure the distance L between the highest and lowest points of the ring specimen and record it as the flexibility value in mm.

[0061] Step 3: Take at least 10 pieces of fabric to be tested scattered across the entire width of the door and test them according to the methods of steps 1 and 2. Calculate the arithmetic mean μ of the distance L between the highest point and the lowest point of the multiple ring specimens. L , μ L The larger the value, the better the bending performance of the fabric.

[0062] Among them, looseness describes the deformation performance of the fabric in the vertical direction, which corresponds to the fluffiness of the fabric. The test method of looseness includes the following steps:

[0063] Step S1: Cut the fabric to be tested into square specimens, lay them flat and wrinkle-free on the test bench, and measure the thickness h on the thickness measuring device in mm;

[0064] Step S2: Use a hand-pressed sampling knife to press the square sample to obtain a circular sample, and weigh the mass m of the circular sample;

[0065] Step S3: Calculate the looseness of the fabric being tested, B = 10*h / m, in cm 3 / g;

[0066] Step S4: Take at least 10 pieces of fabric to be tested and test them according to the method of steps S1-S3 in a dispersed manner across the entire width of the door, and calculate the arithmetic mean μ of the looseness B of the multiple fabrics. B , μ BThe larger the value, the better the fluffy performance of the fabric.

[0067] Softness is an evaluation of the deformation performance of the fabric surface hair from a microscopic perspective. The corresponding softness and fineness of the fabric surface hair refers to the soft and comfortable feeling produced by the skin contacting the fabric surface hair. The softness testing equipment used in the softness test includes a fixing device, a testing device and a display device, such as Figure 1 As shown, the fixing device includes a test slot 4 for placing the fabric sample, a pressure ring 5 and a nut 10 that can be put on the test slot 4 to fix the fabric sample. The test slot 4 and the pressure ring 5 are both cylindrical hollow structures. The diameter of the pressure ring 5 is slightly larger than that of the test slot 4. The nut 10 is used to fasten the test slot 4 and the pressure ring 5;

[0068] The test device includes a temperature and humidity sensor 1, a measuring head 2, a wing wheel 3, a stepper motor 9, and a vibration sensor 8. The wing wheel 3 is fixed to the measuring head 2. The stepper motor 9 drives the wing wheel 3 to rotate, allowing the measuring head 2 to move up and down. The vibration sensor 8 is located at the bottom of the test tank 4 and is used to collect and record the sound of the wing wheel 3 rotating and scraping the fabric.

[0069] The display device is used to display the amplitude of the sound wave recorded by the vibration sensor 8, so as to obtain the softness data.

[0070] The softness test method includes the following steps:

[0071] St1: Use a hand-pressed sampling knife to press the fabric to obtain a circular sample with an area of ​​100cm 2 ;

[0072] St2: Place the circular sample in the test slot 4 of the softness analysis equipment with the test surface facing upward and fix it with the pressing ring 5. After keeping the sample surface flat, lock the sample with the nut 10 and start the equipment to obtain the softness data R.

[0073] St3: Take at least 10 pieces of fabric to be tested scattered across the entire width of the door and test them according to the methods of steps St1 to St2, and calculate the arithmetic mean μ of the softness R of multiple fabrics. R , μ R The smaller the value, the finer the velvet feel of the fabric.

[0074] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0075] Example 1

[0076] A method for testing and evaluating the softness and comfort of fabrics. The values ​​of the three indicators of softness, looseness and softness of thin fabrics are tested. The arithmetic mean values ​​of the softness, looseness and softness of thin fabrics are 94mm, 4.5cm and 1.3mm, respectively. 3 / g and 4.3dB·v 2 rms, and then use the standard deviation formula to calculate the standard deviation σ of the overall data of the three indicators of flexibility, looseness, and softness. The standard deviation formula is as follows: The standard deviation data are 1.25, 0.71 and 0.82 respectively. The values ​​of the three indicators of flexibility, looseness and softness are normalized by Z-Score to obtain the value L z 、B z 、R z , the Z-Score standardized conversion formula is as follows:

[0077] The softness and comfort S of the fabric is calculated using the following formula:

[0078]

[0079] The larger the S value is, the higher the softness and comfort of the fabric is. w1, w2, and w3 are the weight coefficients of the three indicators of fabric softness, looseness, and softness, respectively. The above weight coefficients can be adjusted according to actual conditions. Since the fabric in this embodiment is thin, the softness index has the greatest impact on people's perception of softness. w1 = 0.6, w2 = 0.2, and w3 = 0.2, that is, the calculation formula of softness and comfort S is:

[0080] The following describes the testing process of fabric softness, flexibility and looseness with specific steps:

[0081] Step 1: Take two single-jersey knitted fabrics for testing and analysis, one is cotton-spandex fabric and the other is cotton-molybdenum fabric. The softness, flexibility and looseness values ​​are as follows:

[0082] Table 1 Measured values ​​of softness, looseness and flexibility of two fabrics

[0083]

[0084] Step 2: Standardize the softness, looseness, and flexibility values ​​of the two fabrics using the Z-Score method to obtain the following table:

[0085] Table 2 Standardized Z-Score values ​​of the softness, looseness and softness of the two fabrics

[0086] Fabric Type Softness Lz <![CDATA[Slackness B z > <![CDATA[Softness R z > Cotton-spandex fabric -2.4 1.20 3.98 Cotton fabric 0 -0.39 -0.52

[0087] Step 3: Using the softness and comfort calculation formula to calculate the values ​​in Table 2, we can obtain the softness and comfort of cotton-spandex fabric S1 = -1.15, and the softness and comfort of cotton-molybdenum fabric S2 = -0.46, S2>S1, which proves that cotton-molybdenum fabric is softer than cotton-spandex fabric, and the results are consistent with human perception.

[0088] Example 2

[0089] Evaluation of the softness and comfort of medium-thick fabrics:

[0090] According to a large amount of test data, the average softness, looseness and thickness of medium-thick fabrics are 87.8mm and 7.87cm respectively. 3 / g and 2.95dB·v 2 The RMS and standard deviation data are 2.08, 1.11, and 0.49 respectively. Because it is a medium-thick fabric, the softness and comfort calculation formula of the thick fabric is set as:

[0091]

[0092] Step 1: Take two medium-thick fabrics for testing and analysis. Both are double-sided knitted cotton and wool structures. One is ordinary cotton-spandex fabric, and the other is cotton-spandex fleece fabric. The measured values ​​of softness, tenderness, and looseness are as follows:

[0093] Table 3 Measured values ​​of softness, looseness and flexibility of two fabrics

[0094]

[0095] Step 2: Standardize the softness, looseness, and flexibility values ​​of the two fabrics using the Z-Score method to obtain the following table:

[0096] Table 4 Standardized Z-Score values ​​of the softness, looseness and softness of the two fabrics

[0097] Fabric Type Softness Lz <![CDATA[Bulk B z > <![CDATA[Softness R z > Ordinary cotton-spandex fabric 0.58 -0.43 1.63 Cotton-spandex fleece fabric -1.35 2.2 0.43

[0098] Step 3: Substitute the softness and comfort calculation formula into the formula and obtain the softness and comfort of ordinary cotton-spandex fabric S1=0.19, and the softness and comfort of cotton-spandex fleece fabric S2=1.17. S2>S1, which proves that cotton-spandex fleece fabric is softer than ordinary cotton-spandex fabric. The result is consistent with human perception.

[0099] Example 3

[0100] Evaluation of the softness and comfort of thick fabrics:

[0101] According to a large amount of test data, the average softness, looseness and thickness of medium-thick fabrics are 84.4mm and 7.67cm respectively. 3 / g and 1.91dB·v 2The RMS and standard deviation data are 2.65, 0.93, and 0.47 respectively. Because it is a medium-thick fabric, the softness and comfort calculation formula of the thick fabric is set as:

[0102]

[0103] Step 1: Take two thick fabrics for testing and analysis. The structure is double-sided knitted cotton and wool. The softness, tenderness and looseness values ​​are measured as follows:

[0104] Table 5 Measured values ​​of softness, looseness and flexibility of two fabrics

[0105]

[0106] Step 2: Standardize the softness, looseness, and flexibility values ​​of the two fabrics using the Z-Score method to obtain the following table:

[0107] Table 6 Standardized Z-Score values ​​of softness, looseness and softness of two fabrics

[0108]

[0109] Step 3: Substitute the softness and comfort calculation formula into the formula to obtain the softness and comfort of polyester fleece fabric S1 = 0.10, and the softness and comfort of cellulose fleece fabric S2 = -0.75, S1>S2, which proves that polyester fleece fabric is softer than cellulose fleece fabric, and the result is consistent with human perception.

[0110] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent variation made to the above embodiment according to the essence of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for detecting and evaluating the softness and comfort of fabrics, characterized in that: The values ​​of the softness, looseness and softness of the fabric are tested, and the values ​​of the softness, looseness and softness are normalized by Z-Score to obtain the value L z 、B z and R z , the fabric softness and comfort S is calculated using formula (1): （1） The larger the S value is, the softer and more comfortable the fabric is. w1, w2, and w3 are the weight coefficients of the three indicators of fabric softness, looseness, and softness, respectively. w1+w2+w3=1; For weight less than 200 g / m 2 For thin fabrics, the value ranges of w1, w2, and w3 are 0.5-0.8, 0.1-0.2, and 0.1-0.2 respectively; For weights between 200-350 g / m 2 For medium-thick fabrics, the value ranges of w1, w2, and w3 are 0.3-0.4, 0.4-0.6, and 0.3-0.5 respectively; For weight greater than 350 g / m 2 For thick fabrics, the value ranges of w1, w2, and w3 are 0.1-0.2, 0.3-0.6, and 0.3-0.6 respectively.

2. The method for detecting and evaluating the softness and comfort of fabrics according to claim 1, characterized in that: The Z-Score normalization of the values ​​of the three indicators of flexibility, looseness, and softness includes the following steps: ① Use the standard deviation formula (2) to calculate the standard deviation σ of the overall data of the three indicators of flexibility, looseness and softness: （2）； Where μ is the mean of the overall data; ② Use Z-Score standardized conversion formula (3) to calculate Lz, Bz, and Rz of the three indicators of flexibility, looseness, and softness: （3）； Where x is the observed value of the individual.

3. The method for detecting and evaluating the softness and comfort of fabrics according to claim 1, characterized in that: The flexibility test method includes the following steps: Step 1: Cut the fabric to be tested into a rectangular sample and draw a mark line 2 cm from one end of the rectangular sample; Step 2: Fold the rectangular specimen in half along its edges and clamp it on the test device along the marked line, with the marked line set horizontally. Turn the fixed rectangular specimen inward and let it hang naturally downward to form a ring. Measure the distance L between the highest and lowest points of the ring specimen and record it as the flexibility value in mm. Step 3: Take at least 10 pieces of fabric to be tested scattered across the entire width of the door and test them according to the methods of steps 1 and 2. Calculate the arithmetic mean μ of the distance L between the highest point and the lowest point of the multiple ring specimens. L , μ L The larger the value, the better the bending performance of the fabric.

4. The method for detecting and evaluating the softness and comfort of fabrics according to claim 1, characterized in that: The test method for looseness includes the following steps: Step S1: Cut the fabric to be tested into square specimens, lay them flat and wrinkle-free on the test bench, and measure the thickness h on the thickness measuring device in mm; Step S2: Use a hand-pressed sampling knife to press the square sample to obtain a circular sample, and weigh the mass m of the circular sample; Step S3: Calculate the looseness of the fabric being tested, B = 10*h / m, in cm 3 / g; Step S4: Take at least 10 pieces of fabric to be tested and test them according to the method of steps S1-S3 in a dispersed manner across the entire width of the door, and calculate the arithmetic mean μ of the looseness B of the multiple fabrics. B , μ B The larger the value, the better the fluffy performance of the fabric.

5. The method for detecting and evaluating the softness and comfort of fabrics according to claim 1, characterized in that: The softness test method includes the following steps: St1: Use a hand-pressed sampling knife to press the fabric to obtain a circular sample; St2: Place the circular sample in the test slot (4) of the softness analysis equipment with the test surface facing upwards and fix it with a pressure ring (5). After keeping the sample surface flat, lock the sample with a nut (10), start the equipment, and obtain the softness data R; St3: Take at least 10 pieces of fabric to be tested scattered across the entire width of the door and test them according to the methods of steps St1 to St2, and calculate the arithmetic mean μ of the softness R of multiple fabrics. R , μ R The smaller the value, the finer the velvet feel of the fabric.

6. The method for detecting and evaluating the softness and comfort of fabrics according to claim 1, characterized in that: The flexibility detection equipment used in the flexibility test includes an iron frame and a fixed clip (14), wherein the iron frame includes an iron frame base (12) and a column (13), and the fixed clip (14) is fastened to the column (13) by screws, and the fixed clip (14) is arranged parallel to the ground; The fixing clamp (14) is composed of two stainless steel sheets with a length of 15-20 cm. The two stainless steel sheets are fastened at the tail ends by screws. When testing the sample, the sample is clamped between the two stainless steel sheets along the mark line.

7. The method for detecting and evaluating the softness and comfort of fabrics according to claim 1, characterized in that: The softness detection device used in the softness test includes a fixing device, a testing device and a display device, wherein the fixing device includes a test slot (4) for placing a fabric sample, a pressure ring (5) and a nut (10) capable of being sleeved on the test slot (4) to fix the fabric sample, wherein the test slot (4) and the pressure ring (5) are both cylindrical hollow structures, the diameter of the pressure ring (5) is slightly larger than that of the test slot (4), and the nut (10) is used to fasten the test slot (4) and the pressure ring (5); The test device comprises a temperature and humidity sensor (1), a measuring head (2), a wing wheel (3), a stepper motor (9) and a vibration sensor (8); the wing wheel (3) is fixed on the measuring head (2); the stepper motor (9) drives the wing wheel (3) to rotate; the measuring head (2) can move up and down; the vibration sensor (8) is located at the bottom of the test tank (4) and is used to collect and record the sound of the wing wheel (3) rotating and scraping the fabric; The display device is used to display the sound wave amplitude recorded by the vibration sensor (8), thereby obtaining softness data.

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