Application of artificial neural network and full factorial method to predict the Poisson’s ratio of double core helical auxetic yarn
Author:
Affiliation:
1. Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran
2. Faculty of Engineering, University of Guilan, Rasht, Iran
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/00405000.2022.2026567
Reference38 articles.
1. Study on negative Poisson’s ratio of auxetic yarn under tension: Part 2 – Experimental verification
2. Study on negative Poisson’s ratio of auxetic yarn under tension: Part 1 – Theoretical analysis
3. Review of Auxetic Materials for Sports Applications: Expanding Options in Comfort and Protection
4. Fausett, L. V. (1994). Fundamentals of neural networks: Architectures, algorithms and applications (Vol. 6, pp. 289–333). Prentice-Hall.
5. Experimental and numerical study of helical auxetic yarns
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