BriefGPT.xyz
Jul, 2022
基于多源输入MTL的数字孪生增强金属管弯曲成形实时预测方法
Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL
HTML
PDF
Chang Sun, Zili Wang, Shuyou Zhang, Taotao Zhou, Jie Li...
TL;DR
本研究提出一种基于数字孪生技术和多源输入多任务学习的金属管弯曲成形实时预测方法,可以综合实现金属管弯曲成形的实时预测,并通过DT增强,最终取得了更准确和高效的预测结果。
Abstract
As one of the most widely used metal tube bending methods, the
rotary draw bending
(RDB) process enables reliable and high-precision
metal tube bending forming
(MTBF). The forming accuracy is seriously affected b
→