利用β粒子吸收特性估计织物GSM值的自动化系统

Sanjana Dias, K. Sandaruwan, Shalitha Jayasekara
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引用次数: 0

摘要

克每平方米(GSM)或克是iso推荐的术语,用来表示纸张、金属板、塑料制品和织物材料每单位面积的质量。GSM测试广泛应用于纺织行业,用于测量针织物的GSM,以确保质量和其他标准织物的规格。同时,大多数纺织组织更喜欢手工GSM测量程序,这导致了许多缺点,包括织物的浪费。提出了一种自动化的非接触式织物重量测量方法,作为解决这一工业问题的替代方案。本文介绍了根据三种织物的粒子吸收特性确定GSM值的数学模型。此外,本研究还讨论了一个实时GSM测量系统,该系统利用所生成的数学模型。本文对已开发的数学模型进行了参数拟合优度的研究。所开发的模型适用于R2值大于0.99的GSM值估计和较低的均方根误差(RMSE)值。在验证这些数学模型时得到的误差百分比在所有织物类型中都小于1%。
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An Automated System for Estimating GSM Value of Fabrics using Beta Particle Absorption Characteristics
Grams per square meter (GSM) or Grammage is an ISO-recommended term to express the mass per unit area of papers, metal sheets, plastic-made products, and fabric materials. GSM tests are widely used in the textile industry to measure GSM of knitted fabrics, and to ensure quality and other standard fabrics' specifications. Meanwhile, most textile organizations prefer the manual GSM measuring procedure, which leads to many disadvantages, including fabric wastage. An automated non-contact type fabric Grammage measuring method is proposed as an alternative solution for this industrial issue. This paper introduces mathematical models for determining GSM values based on beta particle absorption characteristics of three selected fabrics. Moreover, this study discusses a real-time GSM measuring system, which utilizes the generated mathematical models. Through this paper, developed mathematical models are investigated over the goodness of fit parameters. Developed models are appropriate for GSM value estimation with R2 values over 0.99, and lower Root Mean Square Error (RMSE) Values. Error percentages obtained during the validation of these mathematical models are less than 1% for all fabric types.
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