Abstract
Abstract The main aspect of this research was to predict the drape parameters and describe clearly the drape phenomenon using fuzzy logic method. Forecasting features allow manufacturers to save time and improve their productivity. The bending rigidity, (in warp, weft, and skew direction), shear rigidity, and weight of fabric samples were used as the key input variables for the model, whereas drape coefficient, drape distance ratio, folds depth index, and node number were used as output/response variables. The results show that changing the values of fabric parameters significantly affected the fabric drape and a representative correlation values were found between the experimental values and those calculated by the fuzzy system.
Highlights
Measurement of the bending rigidityThe bending rigidity is calculated using the following equation: In this paper, the authors present the Fuzzy logic method to predict the drape behavior (DC, node number, Draped distance Ratio (DDR), and folds depth index [Folds depth index (FDI)]) that has not been used in the previous researches from a very limited input data that are obtained using basic equipments (Bskew, Bweft, Bwarp, G, and W)
Fuzzy-C-mean (FCM), fuzzy logic, fabric drape, drape coefficient, node number, drape distance ratio, folds depth index
The bending rigidity is calculated using the following equation: In this paper, the authors present the Fuzzy logic method to predict the drape behavior (DC, node number, Draped distance Ratio (DDR), and folds depth index [Folds depth index (FDI)]) that has not been used in the previous researches from a very limited input data that are obtained using basic equipments (Bskew, Bweft, Bwarp, G, and W)
Summary
The bending rigidity is calculated using the following equation: In this paper, the authors present the Fuzzy logic method to predict the drape behavior (DC, node number, DDR, and folds depth index [FDI]) that has not been used in the previous researches from a very limited input data that are obtained using basic equipments (Bskew, Bweft, Bwarp, G, and W). This method is able to deliver all the outputs by a single calculating system. The desired drape parameter values obtained from the Fuzzy logic method are compared to the experimental data obtained from image analysis
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