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Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique

机译:用模糊技术预测粘胶/莱卡针织面料的力学性能

摘要

The main objective of this research is to predict the mechanical properties of viscose/lycra plain knitted fabrics by using fuzzy expert system. In this study, a fuzzy prediction model has been built based on knitting stitch length, yarn count, and yarn tenacity as input variables and fabric mechanical properties specially bursting strength as an output variable. The factors affecting the bursting strength of viscose knitted fabrics are very nonlinear. Hence, it is very challenging for scientists and engineers to create an exact model efficiently by mathematical or statistical model. Alternatively, developing a prediction model via ANN and ANFIS techniques is also difficult and time consuming process due to a large volume of trial data. In this context, fuzzy expert system (FES) is the promising modeling tool in a quality modeling as FES can map effectively in nonlinear domain with minimum experimental data. The model derived in the present study has been validated by experimental data. The mean absolute error and coefficient of determination between the actual bursting strength and that predicted by the fuzzy model were found to be 2.60% and 0.961, respectively. The results showed that the developed fuzzy model can be applied effectively for the prediction of fabric mechanical properties.
机译:本研究的主要目的是使用模糊专家系统预测粘胶/莱卡平纹针织物的机械性能。在这项研究中,已经建立了一个基于针织线迹长度,纱线支数和纱线强度作为输入变量,并基于织物机械性能,特别是爆破强度作为输出变量的模糊预测模型。影响粘胶针织物破裂强度的因素是非常非线性的。因此,对于科学家和工程师来说,通过数学或统计模型有效地创建精确的模型是非常具有挑战性的。或者,由于大量的试验数据,通过ANN和ANFIS技术开发预测模型也是困难且耗时的过程。在这种情况下,模糊专家系统(FES)是质量建模中很有希望的建模工具,因为FES可以使用最少的实验数据在非线性域中进行有效映射。本研究得出的模型已通过实验数据验证。实际爆破强度与模糊模型预测的平均绝对误差和确定系数分别为2.60%和0.961。结果表明,所建立的模糊模型可以有效地应用于织物力学性能的预测。

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