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

Xiang Gang Yin; Wei Wei Ge

doi:10.4028/www.scientific.net/AMR.421.477

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 421Mathematical Model Research of Intelligent Rapid...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 421)

Pages:

477-482

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.421.477

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Online since:

December 2011

Authors:

Xiang Gang Yin, Wei Wei Ge

Keywords:

Accumulating Generation Operator, Intelligent Model, Moisture Regain, Textile Materials

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References

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