Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning-Reference-Cited by-同舟云学术

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Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning

Published:2024-06 Issue: Volume:74 Page:157-179
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Wang Pei,Zhang Qianle,Qu Hai,Xu Xun^ORCID,Yang Sheng^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference51 articles.

1. Digital Twin-driven machining process for thin-walled part manufacturing;Zhu;J Manuf Syst,2021

2. Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts;Sun;Int J Mach Tools Manuf,2018

3. On crashworthiness behaviors of 3D printed multi-cell filled thin-walled structures;Wang;Eng Struct,2022

4. Improving the machining accuracy of thin-walled parts by online measuring and allowance compensation;Wang;Int J Adv Manuf Technol,2017

5. A time-varying geometry modeling method for parts with deformation during machining process;Hao;J Manuf Syst,2020

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