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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：1/0  |  提交时间：2025/04/27
copper tube drawing  ultrasonic detection  wall thickness unevenness  particle swarm optimization  neural network  
Comparative Study on Online Prediction of TP2 Rolled Copper Tube Wall Thickness Based on Different Proxy Models 期刊论文
MATERIALS, 2024, 卷号: 17, 期号: 23, 页码: 24
作者:  Yue, Fengli;  Sha, Zhuo;  Sun, Hongyun;  Liu, Huan;  Chen, Dayong;  Liu, Jinsong;  Chen, Chuanlai
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
joint drawing  ultrasonic testing  numerical simulation  neural network  
Investigations on the crystallographic stacking disordering and properties of novel Ga-containing in-plane chemically ordered (Cr2/3R1/3)2GaC (R=Y, Tb- Lu) i-MAX phases 期刊论文
ACTA MATERIALIA, 2024, 卷号: 277, 页码: 10
作者:  Chong, He;  Wang, Chaobo;  Guo, Hongyun;  Sun, Shuli;  Gong, Weijiang;  Fu, Xiaoxiao;  Huang, Xiaoxu;  Ma, Shangyi;  Liu, Gang;  Wang, Qiang;  Cui, Weibin
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
i-MAX phase  Rare-earth  High-density sliding  Mechanical properties