Predicting the tensile strength of a new fabric using artificial intelligence (fuzzy logic)
DOI:
https://doi.org/10.56294/dm2025666Keywords:
Fuzzy logic, Weave structures, Tensile strength, Average length of floats, Weave interlacing coefficientAbstract
One of the most important characteristics of a warp and weft fabric is its tensile strength. The aim of this research is to develop a practical fuzzy logic model that could anticipate the ideal tensile strength of new fabrics by modifying only the weave structure. An experimental part was carried out on different weave structures to obtain the results that will enable the development of this new model. We then used the fuzzy logic model to compare its results with those of the experimental tests. The calculated mean absolute error of the fuzzy model was 1.83% for tensile strength in the warp direction and 1.99% for tensile strength in the weft direction. This result also confirmed that the fuzzy model was not only effective, but also reliable in predicting the strength of the new fabric.
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Messnaoui R, El Bakali M, Elkhaoudi M, Soulhi A, Cherkaoui O. Predicting the tensile strength of a new fabric using artificial intelligence (fuzzy logic). AUTEX Research Journal. 2024;24(1):20240018. DOI: 10.1515/aut-2024-0018.
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Copyright (c) 2025 Redouane messnaoui, Mhammed El Bakkali, Mostafa Elkhaoudi, Omar Cherkaoui, Aziz soulhi (Author)
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