Machine learning assisted mechanical properties prediction of fine denier polyester fiber-Reference-Cited by-同舟云学术

Machine learning assisted mechanical properties prediction of fine denier polyester fiber

Published:2024-04-26 Issue: Volume: Page:1-9
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Xie Ruimin¹^ORCID,He Xiwen²,Liu Yuxiang¹,Zhang Yumei¹,Wang Xiaohui³,Xu Jinlong³,Wang Huaping¹

Affiliation:

1. State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China

2. College of Science, Donghua University, Shanghai, China

3. National Advanced Functional Fiber Innovation Center, Suzhou, Jiangsu, China

Funder

The Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission

Shanghai Sailing Program, China

The Fundamental Research Funds for the Central Universities, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00405000.2024.2346668

Reference24 articles.

1. Machine learning for predicting the viscosity of binary liquid mixtures

2. Buckling behaviour of polyester fibres: influence of their material heterogeneity

3. Innovative Materials Science via Machine Learning

4. Predicting materials properties without crystal structure: deep representation learning from stoichiometry

5. Quality Prediction and Abnormal Processing Parameter Identification in Polypropylene Fiber Melt Spinning Using Artificial Intelligence Machine Learning and Deep Learning Algorithms

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