Research Article
Performance Optimization Analysis of Carbon Nanotube Composites Based on Fuzzy Logic
@INPROCEEDINGS{10.1007/978-3-030-67874-6_10, author={Tian-hui Wang and Wen-chao Zheng}, title={Performance Optimization Analysis of Carbon Nanotube Composites Based on Fuzzy Logic}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Fuzzy logic Carbon nanotubes Performance optimization Composite}, doi={10.1007/978-3-030-67874-6_10} }- Tian-hui Wang
Wen-chao Zheng
Year: 2021
Performance Optimization Analysis of Carbon Nanotube Composites Based on Fuzzy Logic
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_10
Abstract
Materials have always been a hot issue in people’s eyes. With the increasing demand for materials, the performance of various carbon nanotube composites is insufficient to meet people’s needs. Therefore, the performance of carbon nanotube composites based on fuzzy logic is proposed. Optimization Analysis. Firstly, the performance equivalent parameters are calculated. On this basis, the material ratio and the standard geometry are refined. Finally, the performance of the carbon nanotube composite is optimized by the fuzzy relation matrix. The experimental results show that the optimization method can effectively improve the stability, conductivity and bearing capacity of composite materials, and prove that the optimization method can improve the performance of composite materials.
