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- Title
Pin-point effect determination using a rigorous approach.
- Authors
Dadgar, Mehran; Mohammad Hosseini Varkiyani, S.; Merati, Ali Akbar
- Abstract
A new method for evaluating the pin-point effect of pile yam of carpets before weaving has been introduced. The method has been initially accomplished by presenting a standard method for bundle preparation and consequently the pin-point index is presented by image analysis technique. To this end, yams with different twists are heat set at various times and temperatures. Comparison of the results shows that increasing the twist, time and temperature positively contribute to the pin-point index. In the last section, an adaptive neurofuzzy model (ANFIS) and an artificial neural network model (ANN) have been designed to predict the pin-point index of the heat set yarns based on training with the experimental data. The input parameters are twist, time and temperature, and the output is the pin-point index. The results illustrate that the learning capability of the ANFIS model is superior and its generalization ability is slightly better than that of a standalone ANN model.
- Subjects
WEAVING; CARPETS; IMAGE analysis; FUZZY logic; ARTIFICIAL neural networks
- Publication
Indian Journal of Fibre & Textile Research, 2015, Vol 40, Issue 3, p273
- ISSN
0971-0426
- Publication type
Article