Mathematical Model Research of Intelligent Rapid Testing System for Textile Materials Moisture Regain

Because there exist some disadvantages of the traditional moisture regain testing method (oven drying) for textile materials, such as longer testing period, higher energy wastage, laboring intensity, and inefficient, a new instrument i.e. moisture regain rapid testing system has been researched, designed and manufactured for raw silk in this project. This system can record real-time the weight of raw silk sample during the drying in the certain environment oven. The index prediction model has been developed based on the accumulating generation operator (1-AGO) after the data have been pretreated. According to this model, the percent of error is only 2.09% between the predicted value and actual result of raw silk moisture regain within the drying cycle of 40min by the rapid testing system.