机械加工
过程(计算)
工程类
制造工程
计算机科学
工程制图
机械工程
操作系统
作者
Jinfeng Liu,Xiaojian Wen,Honggen Zhou,Sushan Sheng,Peng Zhao,Xiaojun Liu,Chao Kang,Yu Chen
标识
DOI:10.1016/j.aei.2022.101737
摘要
Considering the new generation of information technology, the digitalization and intellectualization of the machining process have become the major core in intelligent manufacturing. The complex and diverse requirements, as well as the processing sites force the machining sequence to move towards cyber-physical integration. This paper presents a multidimensional modeling approach for machining processes, by introducing Digital Twin (DT) technology. The method is oriented towards the design and execution phases of the machining process and is used to support intelligent machining. The working mechanism of modeling, simulation, prediction and control of machining process is described based on the interpretation of the modeling and application methods of machining process design, inspection process, fault diagnosis and quality prediction, as based on digital twin technology. Finally, key components of diesel engines are targeted as test objects, demonstrating increased material removal rate by 5.1%, reduced deformation by 22.98% and 30.13%, respectively, verifying the effectiveness of the applied framework and the proposed method.
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