卫生巾热湿舒适性能评价与预测

Evaluation and prediction of thermal and wet comfort of sanitary napkins

针对卫生巾热湿舒适性没有系统综合评价方法和产品设计预测的现状,通过调研确定15款日用型卫生巾作为研究对象,测试保温率、放湿干燥率、透湿率等10项客观评价指标及3项主观评价指标,使用主成分分析法对各项测试指标进行分析,以因子权重建立综合评价计算式,对卫生巾热湿舒适性进行综合评价。然后,以9款试样的客观评价指标为输入值、以主观评价指标为输出值,建立BP神经网络模型,预测卫生巾热湿舒适性。最后,使用6款试样对BP神经网络模型预测值进行检验,结果表明:模型预测误差范围在1.49%~2.28%,能够有效预测卫生巾的热湿舒适性。该模型具有非常好的准确性和可操作性,实现了采用非仪器测量的方式即可有效预测卫生巾热湿舒适性。

In view of the current situation that thermal and wet comfort of sanitary napkins without systematic comprehensive evaluation method and product design prediction, 15 types of daily-use sanitary napkins were identified as research objects through research, and 10 objective evaluation indexes such as heat preservation rate, moisture release and drying rate, moisture permeability rate and 3 subjective evaluation indexes were tested. Using principal component analysis method to analyze each test index, the comprehensive evaluation formula with factor weights was established to evaluate the thermal and wet comfort of sanitary napkins. Then, with the objective evaluation indexes of 9 samples as the input values and subjective evaluation indexes as the output values, the BP neural network model was established to predict the thermal and wet comfort of sanitary napkins. Finally, 6 samples were used to test the predicted values of BP neural network model. The results showed that, the prediction error range of the model was 1.49%-2.28%, which could effectively predict the thermal and wet comfort of sanitary napkins. The model had very good accuracy and operability, and could effectively predict the thermal and wet comfort of sanitary napkins by using non-instrumental measurements.