Reasearch On The Comfort Of Men’s Hygroscopic-heating Thermal Pants

In this thesis,the comfort of men’s hygroscopic-heating thermal pants was researched,mainly from two aspects which are hygroscopic exothermicity of the hygroscopic-heating underwear fabric and the strong discomfort that some men feel pain when they wear fitted hygroscopic-heating thermal pants because of their leg hair.It was pointed out that when the completely dry underwear fabric is placed in an environment of 20℃ and 90% relative humidity,the highest temperature rise value in 30 minutes is ≥ 4℃ and the average temperature rise value in 30 minutes is ≥ 3℃ by FZ/T 73036—2010,the fabric had hygroscopic exothermicity.In this thesis,8 kinds of underwear fabrics that claim to have hygroscopic exothermicity in the market and 12 common fabrics were selected to conduct hygroscopic exothermicity tests under standard conditions（the fabric is dried to completely dry before the test）and non-standard conditions（before the test,the fabric is adjusted for temperature and humidity for 24 hours in an environment of 20℃ and 65% relative humidity）.Three of the 8hygroscopic-heating fabrics did not have hygroscopic exothermicity,and 12 kinds of ordinary fabrics had hygroscopic exothermicity accounting for 75%.Under standard test conditions,underwear fabrics with hygroscopic exothermicity were indeed slightly warmer than underwear fabrics without hygroscopic exothermicity within a certain period of time,which will help comfort to a certain extent;underwear fabrics with hygroscopic exothermicity reached the maximum temperature rise value in about 5 minutes.For the winter from a higher temperature and dry environment to a lower temperature and high humidity environment,the hygroscopic-heating fabric can provide a certain buffering effect,reduce the cold and wet stress response,and increase it to a certain extent comfort.However,the hygroscopic-heating process of the fabric cannot provide more heat for a long time.The temperature rose rapidly and reached the highest value due to hygroscopic exothermicity within a few minutes,and then the temperature rise value gradually decreased.The test results under the two test conditions were subjected to a paired sample T test,and it was found that the maximum temperature rise value of 30 minutes,the average temperature rise value of 30 minutes,the temperature rise value at the 30 th minute and the time to reach the highest temperature rise value under the two test conditions were statistically different.The30-minute maximum temperature rise value,the 30-minute average temperature rise value and the30 minute temperature rise value measured under non-standard test conditions were reduced by4.1℃,2.2℃ and 0.8℃,respectively,and the time to reach the maximum temperature rise value was shortened by 1.7 minutes.It showed that under non-standard test conditions,the hygroscopic exothermicity of the fabric was greatly reduced.It indicated that under the normal wearing conditions of warm pants,the exothermic effect of the fabrics with hygroscopic exothermicity involved in this thesis will be very limited.In addition,the study also found that the index "30-minute temperature rise value" in the fabric’s hygroscopic exothermicity was greatly affected by the hydrophilic fibers in the fabric.The less hydrophilic fibers,the lower the maximum temperature rise value within 30 minutes;the index "average temperature rise value in 30minutes" was positively correlated with the surface density and thickness of the fabric.The larger the surface density and the thicker the thickness,the larger the average temperature rise value within 30 minutes.In view of the pain phenomenon that exists when men wear body-fitting thermal pants,the trouser leg easing rate and the characteristics of the men’s leg hair were taken as the starting point of the research and designed and carried out a half-length trouser leg wearing test.Eight subjects were selected,and the relevant data about the size of the calf and the hair of the legs were measured.Take the current template of Uniqlo 180/105 hygroscopic-heating fitted Thermal Pants with the knee and the lower half of the trouser leg as the basic template,and scale according to the size of the calf’s largest circumference to obtain 10 different looseness of the half trouser legs.A total of 40 half trouser legs were made using 4 kinds of underwear fabrics as samples.Through the analysis of the evaluation results of 8 subjects wearing 40 half-length trouser legs,it was found that the pain phenomenon was reflected in the experimental samples of half-length trouser legs made of 4 kinds of underwear fabrics.Pain was related to the easing rate of trouser legs,characteristics of the men’s leg hair and fabric characteristics.The longer and the more were the leg hair,the stronger was the pain.When the wearer with longer leg hair and more wore thermal pants,when the trouser leg easing rate of thermal trousers was [-27.5 %,-5%],it was easy to feel the pain,when the trouser leg easing rate was [-20%,-15%],the perceived pain was stronger.Under the same conditions,the pain of the pants leg made with the fabrics napped on the inner side was weaker.Based on the current template of UNIQLO 180/105 hygroscopic-heating fitted thermal trousers as the basic template,based on the predecessor body measurement data and the research results of the pain of the thermal pants,the template of the leg parts of the thermal pants was optimized,and with the help of CLO 3D three-dimensional clothing design software conducted a virtual human body try-on to test the aesthetics of the optimized version.It was concluded that the optimized data of the trouser leg template of hygroscopic-heating fitted thermal trousers: the maximum girth size of the thigh was 56.7cm,and the easing rate was 1.6%;the knee size was44.1cm,and the easing rate was 16.7%;The maximum circumference of the calf was 39 cm,and the easing rate was 5.1%.By observing the dressing effect before and after the optimization of the template,the aesthetics of the thermal pants after the optimization of the template was still good.Through the thermal manikin experiment and comfort wearing experiment of the thermal pants stitched according to the basic template and the thermal pants stitched according to the optimized template,it was found that the optimized thermal pants have improved the thermal insulation property,basically eliminated the pain,reduced the sense of pressure,and improved the overall comfort.In view of the pain phenomenon of men’s thermal pants,a prediction method based on multi-layer perceptron（MLP）neural network was proposed in this thesis to predict whether thermal pants are prone to pain.The test data of half-length trouser leg wearing test and thermal pants comfort wearing experiment were used as data sets.Four factors were taken as input variables: the margin of the pant leg at the maximum circumference of the calf,the length of the leg hair,the density of the leg hair,and whether the inner surface of the fabric has nap.Taking the pain of thermal pants as the output variable,a prediction model of men’s thermal pants pain was proposed based on MLP neural network,and the prediction effect of the model was judged by ROC curve and AUC value.In this thesis,the MLP neural network model for predicting the pain sensation of men’s thermal pants was constructed based on the test data of the half-length trouser leg wearing test（320 groups）,and the test data of the comfortable wearing experiment of thermal pants（192 groups）were used as the test data set,and the predicted results were compared with the actual test results.The results showed that the proportion of the predicted results and the actual data was 87%,and the accuracy rate was high.The MLP neural network could be used to predict the pain of male thermal pants.In this thesis,the MLP neural network was used to improve the prediction model of men’s thermal pants’ pain sensation by taking the test data of half-length trouser leg wearing test and thermal pants comfort wearing experiment as data sets.The ROC curve and training AUC value were 0.976 and the test AUC value was 0.93.The improved MLP neural network model has a better ability to predict the pain sensation of men’s thermal pants,which can provide the prediction and evaluation of the pain sensation for the subsequent research and development of men’s thermal pants.In order to improve the comfort of men’s hygroscopic-heating thermal pants,the hygroscopic-heating thermal fabric’s hygroscopic exothermicity was tested and analyzed in this thesis.The factors influencing the pain of male thermal pants were discussed.Based on these factors,the existing template of fitted hygroscopic-heating thermal pants was optimized.Through wearing experiment and thermal manikin experiment,the comfort of the optimized thermal pants was verified.The prediction model of men’s thermal pants pain was established.The research of this thesis can provide reference for the subsequent study of hygroscopic-heating fabrics and guidance for the development of men’s thermal pants.