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Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network 期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 23, 页码: 23
作者:  Yue, Fengli;  Sha, Zhuo;  Sun, Hongyun;  Chen, Dayong;  Liu, Jinsong
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
copper tube drawing  ultrasonic detection  wall thickness unevenness  particle swarm optimization  neural network  
Investigation of texture transformation paths in copper tube during floating plug drawing process 期刊论文
INTERNATIONAL JOURNAL OF MATERIAL FORMING, 2020, 页码: 13
作者:  Wang, Song-Wei;  Chen, Yan;  Song, Hong-Wu;  Abd El-Aty, Ali;  Liu, Jin-Song;  Zhang, Shi-Hong
收藏  |  浏览/下载：112/0  |  提交时间：2021/02/02
Microstructure  Texture  Copper tube  Floating plug drawing  Visco-plastic self-consistent