A method and device for testing the moisture discharge performance of a down jacket

Abstract

The application discloses a kind of down jacket moisture discharge performance test method and device, comprising: to the down jacket of the down jacket with moisture discharge structure is pre-adjusted temperature and humidity treatment, then temperature and humidity are adjusted to preset test value;To the down jacket is clamped and multi-mode stretching to simulate human motion state;Picture data of the down feather of the down jacket inside in the process of stretching, humidity data of the down jacket close to human layer and airflow velocity data at the outlet of moisture discharge structure are obtained;According to the picture data of the down feather, analyze the down feather state, calculate moisture discharge efficiency and humidity accumulation gradient according to humidity data and airflow velocity data;According to the down feather state, moisture discharge efficiency and humidity accumulation gradient, obtain moisture discharge performance test result.The application establishes three-dimensional relationship of down structure change-airflow path-humidity diffusion by the down feather state, moisture discharge efficiency and humidity accumulation gradient to carry out moisture discharge performance evaluation, can accurately locate design defect, quantifies moisture discharge efficiency, and has high test sensitivity and helps to guide process improvement.

Description

Technical Field

[0001] This invention belongs to the field of clothing testing technology, specifically relating to a method and apparatus for testing the moisture wicking performance of down jackets. Background Technology

[0002] In existing technologies, the moisture wicking performance of clothing is usually verified by testing the moisture resistance of clothing using a sweating mannequin. However, this method cannot pinpoint areas with weak moisture wicking capabilities. Static testing methods are difficult to capture the microscopic morphology of down fibers in motion in real time and ignore the impact of down displacement on airflow channels during movement. Furthermore, they lack a synergistic quantitative analysis of humidity and airflow. There is no testing scheme in this field that accurately reflects the three-dimensional relationship between dynamic down structure changes, airflow path, and humidity diffusion. Therefore, a more accurate method for testing the moisture wicking performance of down garments needs to be designed. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and device for testing the moisture wicking performance of down jackets. The method evaluates the moisture wicking performance by considering the state of the down clusters, the moisture wicking efficiency, and the cumulative humidity gradient. This method can accurately locate design defects, quantify moisture wicking efficiency, and has high test sensitivity, which can also help guide process improvement.

[0004] This invention provides the following technical solution: Firstly, a method for testing the moisture-wicking performance of down jackets is provided, including the following steps: The down jacket's down pouch with a moisture-wicking structure is pre-conditioned for temperature and humidity, and then the temperature and humidity are adjusted to the preset test values. The fleece bag is clamped at multiple points and stretched in multiple modes to simulate human movement. Acquire image data of the down clusters inside the down pack during the stretching process, humidity data of the down pack layer close to the human body, and airflow velocity data at the outlet of the moisture-wicking structure; The condition of the down clusters is analyzed based on the image data, and the dehumidification efficiency and humidity accumulation gradient are calculated based on the humidity data and airflow velocity data. The moisture removal performance test results were obtained based on the state of the down clusters, moisture removal efficiency, and cumulative humidity gradient.

[0005] Furthermore, the down bale is filled with white duck down with a down content of 85-90% and a fill power of over 800FP.

[0006] Furthermore, the pre-conditioning and humidity control process includes: adjusting the temperature of the environmental chamber where the fleece bag is located to 34~35℃ and the humidity to 25~35%RH, so that the temperature and humidity of the fleece bag are balanced. The step of adjusting the temperature and humidity to the preset test values ​​includes maintaining the temperature of the environmental chamber at 34~35℃ and adjusting the humidity to 85~95%RH.

[0007] Furthermore, the multi-point clamping and multi-mode stretching of the fleece bag includes clamping the fleece bag in the upper, lower, left, right, front, and rear positions, and alternating between three stretching modes for 4.5 to 5 minutes.

[0008] Furthermore, the three stretching modes include: Vertical compression mode, used to simulate arm swing compression, operates at a frequency of 1~1.1Hz and a stroke of 5~5.5cm; The horizontal reciprocating mode is used to simulate trunk torsion, with an operating frequency of 0.5~0.6Hz and a stroke of 8~8.5cm. Multi-directional random vibration mode, used to simulate irregular operation, with an amplitude of 2.5~3.5cm.

[0009] Furthermore, the analysis of the down cluster state based on the image data of the down clusters includes: using the YOLOv5 algorithm to identify the down cluster state through feature maps of down clusters of different sizes; Among them, if the diameter of the down cluster is >4mm, the down cluster is in a fully fluffy state; if 2mm≤down cluster diameter≤4mm, the down cluster is in a semi-fluffy state; if the down cluster diameter is <2mm, the down cluster is in a flattened state.

[0010] Furthermore, the formula for calculating the dehumidification efficiency η is as follows: ; In the formula, V_out represents the volumetric flow rate, and V_in represents the initial humidity rise rate; in, ; ; In the formula, v represents the peak airflow velocity at the outlet of the dehumidification structure, M represents the effective area of ​​the dehumidification hole, and ΔRH represents the humidity change from the start of movement to the time Δt. The formula for calculating the cumulative humidity gradient G is: G ; In the formula, This represents the average humidity change over time interval Δt1 under steady-state conditions.

[0011] Furthermore, the moisture removal performance test results obtained based on the velvet cluster state, moisture removal efficiency, and cumulative humidity gradient include: When the proportion of fully fluffy down clusters is ≥60%, the moisture removal efficiency η is ≥80%, and the cumulative humidity gradient is ≤0.8% RH / s, the moisture removal performance is excellent. When the percentage of fully fluffy down clusters is less than 60% (40% ≤ fully fluffy), the moisture removal efficiency η is less than 80% (65% ≤ moisture removal efficiency η), and the cumulative humidity gradient is less than or equal to 1.2% RH / s (0.8% RH / s < cumulative humidity gradient ≤ 1.2% RH / s), the moisture removal performance is good. When the proportion of flattened down clusters is ≥30%, the moisture removal efficiency η <50%, and the cumulative humidity gradient is ≥2.0% RH / s, the moisture removal performance is poor.

[0012] Secondly, a down jacket moisture wicking performance testing device is provided, including an environmental chamber, an endoscope, a humidity sensor, an airflow sensor, a robotic arm, and a controller; The environmental chamber is used to pre-condition the temperature and humidity of down jacket down bags with dehumidification structure, and then adjust the temperature and humidity to preset test values. The robotic arm is used to perform multi-point clamping and multi-mode stretching of the velvet bag to simulate human movement. The endoscope is vertically inserted into the middle layer of the fleece package to collect image data of the fleece clusters inside the fleece package during the stretching process; The humidity sensor is located in the layer of the fleece bag that is close to the human body, and is used to collect humidity data of the layer of the fleece bag that is close to the human body during the stretching process. The airflow sensor is located at the outlet of the velvet-pack dehumidification structure and is used to collect airflow velocity data at the outlet of the dehumidification structure. The controller is connected to the environmental chamber, endoscope, humidity sensor, airflow sensor, and robotic arm, respectively. It is used to control the environmental chamber and robotic arm to perform corresponding operations, analyze the state of the down clusters based on the acquired image data, calculate the dehumidification efficiency and humidity accumulation gradient based on the acquired humidity data and airflow speed data, and obtain the dehumidification performance test results based on the down cluster state, dehumidification efficiency, and humidity accumulation gradient.

[0013] Furthermore, the robotic arm is a six-axis robotic arm.

[0014] Compared with the prior art, the beneficial effects of the present invention are: (1) The present invention pre-conditions the temperature and humidity of the down bag of the down jacket with the moisture-wicking structure, then adjusts the temperature and humidity to the preset test value, and performs multi-point clamping and multi-mode stretching on the down bag to simulate the human body movement state, and then tests the moisture-wicking performance of the down jacket in the movement state, and the test results are more accurate. (2) This invention acquires image data of the down clusters inside the down pack during the stretching process, humidity data of the down pack layer close to the human body, and airflow velocity data at the outlet of the dehumidification structure. It also analyzes the down cluster state based on the image data and calculates the dehumidification efficiency and humidity accumulation gradient based on the humidity data and airflow velocity data. On the one hand, by establishing an evaluation system for down cluster state monitoring and dehumidification efficiency, the dehumidification performance is quantified, and the test sensitivity is improved by 30% compared to the traditional moisture resistance test sensitivity. On the other hand, by observing the influence of down cluster state on the dehumidification structure, design defects can be accurately located, and process improvement can be guided. For example, by verifying that a down filling structure with different filling angles can improve the dehumidification efficiency by 22%. (3) The present invention establishes a three-dimensional relationship between down structure change, airflow path and humidity diffusion based on down cluster state, moisture removal efficiency and humidity accumulation gradient, and then evaluates the moisture removal performance of down jackets based on the evaluation matrix to obtain moisture removal performance test results with high test accuracy. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the method for testing the moisture-wicking performance of down jackets in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the fleece bag in an embodiment of the present invention; Figure 3 This is a schematic diagram of a dehumidification structure in an embodiment of the present invention; Figure 4 This is a schematic diagram of another dehumidification structure in an embodiment of the present invention; Figure 5 This is a schematic diagram of the installation structure of the endoscope and sensor in an embodiment of the present invention; Figure 6 This is a schematic diagram of a robotic arm stretching a fleece bag to simulate human movement in an embodiment of the present invention; The following are labeled in the diagram: 1. Endoscope; 2. Humidity sensor; 3. Airflow sensor. Detailed Implementation

[0016] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0017] It should be noted that in the description of this invention, the terms "front", "rear", "left", "right", "upper", "lower", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and do not require that this invention must be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0018] Example 1

[0019] like Figure 1 As shown, this embodiment provides a method for testing the moisture-wicking performance of down jackets, including the following steps: The down jacket's down pouch with a moisture-wicking structure is pre-conditioned for temperature and humidity, and then the temperature and humidity are adjusted to the preset test values. The fleece bag is clamped at multiple points and stretched in multiple modes to simulate human movement. Acquire image data of the down clusters inside the down pack during the stretching process, humidity data of the down pack layer close to the human body, and airflow velocity data at the outlet of the moisture-wicking structure; The condition of the down clusters is analyzed based on the image data, and the dehumidification efficiency and humidity accumulation gradient are calculated based on the humidity data and airflow velocity data. The moisture removal performance test results were obtained based on the state of the down clusters, moisture removal efficiency, and cumulative humidity gradient.

[0020] Example 2

[0021] This embodiment provides a down jacket moisture wicking performance testing device, including an environmental chamber, an endoscope, a humidity sensor, an airflow sensor, a robotic arm, and a controller; The environmental chamber is used to pre-condition the temperature and humidity of down jacket down bags with dehumidification structure, and then adjust the temperature and humidity to preset test values. The robotic arm is a six-axis robotic arm, used to perform multi-point clamping and multi-mode stretching of the velvet bag to simulate human movement. The endoscope is vertically inserted into the middle layer of the fleece package to collect image data of the fleece clusters inside the fleece package during the stretching process; The humidity sensor is located in the layer of the fleece bag that is close to the human body, and is used to collect humidity data of the layer of the fleece bag that is close to the human body during the stretching process. The airflow sensor is located at the outlet of the velvet-pack dehumidification structure and is used to collect airflow velocity data at the outlet of the dehumidification structure. The controller is connected to the environmental chamber, endoscope, humidity sensor, airflow sensor, and robotic arm, respectively. It is used to control the environmental chamber and robotic arm to perform corresponding operations, analyze the state of the down clusters based on the acquired image data, calculate the dehumidification efficiency and humidity accumulation gradient based on the acquired humidity data and airflow speed data, and obtain the dehumidification performance test results based on the down cluster state, dehumidification efficiency, and humidity accumulation gradient.

[0022] Example 3

[0023] Based on Examples 1 and 2, this embodiment provides a method for testing the moisture-wicking performance of down jackets, the specific steps of which are as follows: Step 1, as follows Figure 2 As shown, prepare a fleece bag with a moisture-wicking structure. The direction, angle, size, and other parameters of the moisture-wicking structure can vary, such as... Figure 3 The feather moisture-wicking structure shown is as follows: Figure 4 The diagram shows a staggered, three-dimensional wall dehumidification structure. The down bales are filled with white duck down containing 85-90% down and have a fill power of over 800 FP.

[0024] Step 2, as follows Figure 5 As shown, an endoscope 1 is placed inside the fleece bag. Specifically, the endoscope 1 is vertically inserted into the middle layer of the fleece bag. A humidity sensor 2 is placed on the side of the fleece bag closer to the human body in the lower layer. An airflow sensor 3 is placed at the outlet of the fleece bag's dehumidification structure.

[0025] Step 3: Place the aforementioned fleece bag in the environmental chamber. The controller controls the environmental chamber to adjust the temperature to 34~35℃ and the humidity to 25~35%RH to complete the pre-conditioning and humidity control process. Then, maintain the temperature of the environmental chamber at 34~35℃ and adjust the humidity to 85~95%RH to prepare for testing.

[0026] Step 4, as follows Figure 6 As shown, a six-axis robotic arm, controlled by a controller, performs multi-point clamping and multi-mode stretching of the fleece package to simulate human movement. During the stretching process, an endoscope collects real-time image data of the fleece clusters inside the package and sends the data to the controller; a humidity sensor collects real-time humidity data of the fleece package layer close to the human body and sends the data to the controller; and an airflow sensor collects real-time airflow velocity data at the outlet of the dehumidification structure and sends the data to the controller.

[0027] In this embodiment, a six-axis robotic arm is used to grip the fleece bag in the top, bottom, left, right, front, and back positions, and three stretching modes are alternated for 4.5 to 5 minutes. The three stretching modes include: (1) Vertical compression mode, used to simulate arm swing compression, with a running frequency of 1~1.1Hz and a stroke of 5~5.5cm; (2) Horizontal reciprocating mode, used to simulate trunk torsion, with a running frequency of 0.5~0.6Hz and a stroke of 8~8.5cm; (3) Multi-directional random vibration mode, used to simulate irregular operation, with an operating amplitude of 2.5~3.5cm.

[0028] Step 5: Analyze the state of the down clusters based on the acquired image data. Specifically, the YOLOv5 algorithm is used to identify the state of the down clusters through feature maps of different sizes. If the diameter of the down cluster is >4mm, the down cluster is in a fully fluffy state; if 2mm ≤ down cluster diameter ≤ 4mm, the down cluster is in a semi-fluffy state; if the down cluster diameter is <2mm, the down cluster is in a flattened state.

[0029] Step 6: Calculate the dehumidification efficiency and cumulative humidity gradient based on the acquired humidity and airflow velocity data. Specifically, the formula for calculating the dehumidification efficiency η is: ; In the formula, V_out represents the volumetric flow rate, in cubic meters per second (m³). 3 / s; V_in represents the initial humidity rise rate, in units of %RH / s; in, ; ; In the formula, v represents the peak airflow velocity at the outlet of the dehumidification structure, in m / s; M represents the effective area of ​​the dehumidification vent, in cm². 2 That is, 10-4 m²; ΔRH represents the humidity change from the start of movement to Δt (in seconds), expressed as %RH; The formula for calculating the cumulative humidity gradient G is: G ; In the formula, This represents the average humidity change over a time interval of Δt1 (in seconds) under steady-state conditions, expressed in %RH / s. In this embodiment, steady-state refers to the period 3-5 minutes after the start of the exercise, where Δt1 = 10 seconds.

[0030] Step 7: Obtain the moisture removal performance test results based on the down cluster state, moisture removal efficiency, and cumulative humidity gradient. The comprehensive evaluation matrix is ​​as follows: When the proportion of fully fluffy down clusters is ≥60%, the moisture removal efficiency η is ≥80%, and the cumulative humidity gradient is ≤0.8% RH / s, the moisture removal performance is excellent. When the percentage of fully fluffy down clusters is less than 60% (40% ≤ fully fluffy), the moisture removal efficiency η is less than 80% (65% ≤ moisture removal efficiency η), and the cumulative humidity gradient is less than or equal to 1.2% RH / s (0.8% RH / s < cumulative humidity gradient ≤ 1.2% RH / s), the moisture removal performance is good. When the proportion of flattened down clusters is ≥30%, the moisture removal efficiency η <50%, and the cumulative humidity gradient is ≥2.0% RH / s, the moisture removal performance is poor.

[0031] Example 4

[0032] Step 1: Prepare a fleece bale with a moisture-wicking structure. Fleece bale dimensions: 30×30cm (simulating a single garment piece), filled with 90% white duck down, with a fill power of 800FP; a laser-perforated moisture-wicking structure is located 2cm from the edge on the inner side of the outer fabric of the fleece bale, with a hole diameter of 0.8mm (error ±0.05mm); a hole density of 20 holes / cm², arranged in a dense hexagonal pattern.

[0033] Step 2: Vertically insert an endoscope (Olympus IPLEX NX (Φ2.8mm) with a sampling frequency of 30fps) into the middle layer of the fleece pouch. Place a miniature humidity sensor (ibutton (±1.5%RH) with a sampling frequency of 10Hz) on the lower layer of the fleece pouch, close to the body. Place a micro-airflow sensor (Omron D6F-P (±0.05m / s) with a sampling frequency of 20Hz) at the moisture-wicking outlet of the fleece pouch.

[0034] Step 3: Place the fleece bag in the environmental chamber. The controller will adjust the temperature of the environmental chamber to 34℃ and the humidity to 30%RH to complete the pre-conditioning treatment. Then, maintain the temperature of the environmental chamber at 34℃ and adjust the humidity to 90%RH to prepare for testing.

[0035] Step 4: The controller directs the six-axis robotic arm to clamp and stretch the fleece bag in multiple modes (up, down, left, right, front, and back) to simulate human movement. Specifically, the vertical compression mode (operating frequency 1Hz, stroke 5cm), horizontal reciprocating mode (operating frequency 0.5Hz, stroke 8cm), and multi-directional random vibration mode (operating amplitude 3cm) are alternated for 5 minutes. All instrument switches are turned on, and the visual, humidity, and airflow changes during the test are observed and recorded, as shown in Table 1 below.

[0036] Step 5: Based on the data recorded in Step 4, calculate the relevant test data using the method in Step 5 of Example 3. The results are shown in Table 1 below.

[0037] Table 1 Test Data and Results

[0038] Step 6: Based on the state of the down clusters, the dehumidification efficiency, and the cumulative humidity gradient, the dehumidification performance test results are obtained, and the evaluation results are shown in Table 2 below.

[0039] Table 2 Comprehensive Evaluation Table

[0040] As shown in Table 2, the moisture wicking performance of the velvet bag is excellent. The structural effectiveness was verified: the laser punching concentrated the airflow through the channels without any velvet blockage. At the same time, the following process improvement suggestions can be made: increasing the pore density from 20 pores / cm² to 25 pores / cm² can further reduce the humidity gradient.

[0041] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for testing the moisture-wicking performance of down jackets, characterized in that, Includes the following steps: The down jacket's down pouch with a moisture-wicking structure is pre-conditioned for temperature and humidity, and then the temperature and humidity are adjusted to the preset test values. The fleece bag is clamped at multiple points and stretched in multiple modes to simulate human movement. Acquire image data of the down clusters inside the down pack during the stretching process, humidity data of the down pack layer close to the human body, and airflow velocity data at the outlet of the moisture-wicking structure; The condition of the down clusters is analyzed based on the image data, and the dehumidification efficiency and humidity accumulation gradient are calculated based on the humidity data and airflow velocity data. The moisture removal performance test results were obtained based on the state of the down clusters, moisture removal efficiency, and humidity accumulation gradient. The analysis of the down cluster state based on the image data of the down clusters includes: using the YOLOv5 algorithm to identify the down cluster state through feature maps of down clusters of different sizes; Among them, if the diameter of the down cluster is >4mm, the down cluster is in a fully fluffy state; if 2mm≤down cluster diameter≤4mm, the down cluster is in a semi-fluffy state; if the down cluster diameter is <2mm, the down cluster is in a flattened state. The formula for calculating the dehumidification efficiency η is: ； In the formula, V_out represents the volumetric flow rate, and V_in represents the initial humidity rise rate; in, ; ; In the formula, v represents the peak airflow velocity at the outlet of the dehumidification structure, M represents the effective area of ​​the dehumidification hole, and ΔRH represents the humidity change from the start of the movement to the time Δt. The formula for calculating the cumulative humidity gradient G is: G ； In the formula, This represents the average humidity change over time interval Δt1 under steady-state conditions. The moisture removal performance test results obtained based on the velvet cluster state, moisture removal efficiency, and cumulative humidity gradient include: When the proportion of fully fluffy down clusters is ≥60%, the moisture removal efficiency η is ≥80%, and the cumulative humidity gradient is ≤0.8% RH / s, the moisture removal performance is excellent. When the percentage of fully fluffy down clusters is less than 60% (40% ≤ fully fluffy), the moisture removal efficiency η is less than 80% (65% ≤ moisture removal efficiency η), and the cumulative humidity gradient is less than or equal to 1.2% RH / s (0.8% RH / s < cumulative humidity gradient ≤ 1.2% RH / s), the moisture removal performance is good. When the proportion of flattened down clusters is ≥30%, the moisture removal efficiency η <50%, and the cumulative humidity gradient is ≥2.0% RH / s, the moisture removal performance is poor.

2. The method for testing the moisture-wicking performance of down jackets according to claim 1, characterized in that, The down bale is filled with white duck down with a down content of 85-90% and a fill power of over 800FP.

3. The method for testing the moisture-wicking performance of down jackets according to claim 1, characterized in that, The pre-conditioning and humidity control process includes: adjusting the temperature of the environmental chamber where the fleece bag is located to 34~35℃ and the humidity to 25~35%RH, so that the temperature and humidity of the fleece bag are balanced; The step of adjusting the temperature and humidity to the preset test values ​​includes maintaining the temperature of the environmental chamber at 34~35℃ and adjusting the humidity to 85~95%RH.

4. The method for testing the moisture-wicking performance of down jackets according to claim 1, characterized in that, The multi-point clamping and multi-mode stretching of the fleece bag includes clamping the fleece bag in the upper, lower, left, right, front, and rear positions, and alternating between three stretching modes for 4.5 to 5 minutes.

5. The method for testing the moisture-wicking performance of down jackets according to claim 4, characterized in that, The three stretching modes include: Vertical compression mode, used to simulate arm swing compression, operates at a frequency of 1~1.1Hz and a stroke of 5~5.5cm; The horizontal reciprocating mode is used to simulate trunk torsion, with an operating frequency of 0.5~0.6Hz and a stroke of 8~8.5cm; Multi-directional random vibration mode, used to simulate irregular operation, with an operating amplitude of 2.5~3.5cm.

6. A device for testing the moisture-wicking performance of down jackets, characterized in that, It includes an environmental chamber, endoscope, humidity sensor, airflow sensor, robotic arm, and controller; The environmental chamber is used to pre-condition the temperature and humidity of down jacket pouches with dehumidification structures, and then adjust the temperature and humidity to preset test values. The robotic arm is used to perform multi-point clamping and multi-mode stretching of the velvet bag to simulate human movement. The endoscope is vertically inserted into the middle layer of the fleece package to collect image data of the fleece clusters inside the fleece package during the stretching process; The humidity sensor is located in the layer of the fleece bag that is close to the human body, and is used to collect humidity data of the layer of the fleece bag that is close to the human body during the stretching process. The airflow sensor is located at the outlet of the velvet bag dehumidification structure and is used to collect airflow velocity data at the outlet of the dehumidification structure. The controller is connected to the environmental chamber, endoscope, humidity sensor, airflow sensor, and robotic arm respectively. It is used to control the environmental chamber and robotic arm to perform corresponding operations, analyze the state of the down based on the acquired image data, calculate the dehumidification efficiency and humidity accumulation gradient based on the acquired humidity data and airflow speed data, and obtain the dehumidification performance test results based on the down state, dehumidification efficiency, and humidity accumulation gradient. The analysis of the down cluster state based on the image data of the down clusters includes: using the YOLOv5 algorithm to identify the down cluster state through feature maps of down clusters of different sizes; Among them, if the diameter of the down cluster is >4mm, the down cluster is in a fully fluffy state; if 2mm≤down cluster diameter≤4mm, the down cluster is in a semi-fluffy state; if the down cluster diameter is <2mm, the down cluster is in a flattened state. The formula for calculating the dehumidification efficiency η is: ； In the formula, V_out represents the volumetric flow rate, and V_in represents the initial humidity rise rate; in, ; ; In the formula, v represents the peak airflow velocity at the outlet of the dehumidification structure, M represents the effective area of ​​the dehumidification hole, and ΔRH represents the humidity change from the start of the movement to the time Δt. The formula for calculating the cumulative humidity gradient G is: G ； In the formula, This represents the average humidity change over time interval Δt1 under steady-state conditions. The moisture removal performance test results obtained based on the velvet cluster state, moisture removal efficiency, and cumulative humidity gradient include: When the proportion of fully fluffy down clusters is ≥60%, the moisture removal efficiency η is ≥80%, and the cumulative humidity gradient is ≤0.8% RH / s, the moisture removal performance is excellent. When the percentage of fully fluffy down clusters is less than 60% (40% ≤ fully fluffy), the moisture removal efficiency η is less than 80% (65% ≤ moisture removal efficiency η), and the cumulative humidity gradient is less than or equal to 1.2% RH / s (0.8% RH / s < cumulative humidity gradient ≤ 1.2% RH / s), the moisture removal performance is good. When the proportion of flattened down clusters is ≥30%, the moisture removal efficiency η <50%, and the cumulative humidity gradient is ≥2.0% RH / s, the moisture removal performance is poor.

7. The down jacket moisture-wicking performance testing device according to claim 6, characterized in that, The robotic arm is a six-axis robotic arm.

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