Digital twin-driven machining process evaluation method

被引：0

作者：

Liu J. ^{[1
,2
]}

Zhao P. ^{[1
]}

Zhou H. ^{[1
]}

Liu X. ^{[3
]}

Feng F. ^{[4
]}

机构：

[1] School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang

[2] School of Material Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang

[3] School of Mechanical Engineering, Southeast University, Nanjing

[4] Shanxi Diesel Engine Heavy Industry Co., Ltd., Xingping

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 06期

基金：

中国博士后科学基金;

关键词：

Digital twin; Machining process; Mapping mechanism; Marine diesel engine; Perceived data; Process evaluation;

D O I：

10.13196/j.cims.2019.06.027

中图分类号：

学科分类号：

摘要：

Under the dynamic processing conditions, the machining process evaluation has become a key for improving process' executable and shortening development cycle in intelligent manufacturing mode. Therefore, a twin data-driven evaluation methodology of machining process was proposed. By taking the perceptual data of machining process as the research object, the representation model and acquisition process of real-time data of processing process were created to provide the data source for twin data of process evaluation. The framework system of process evaluation's twin model was established, and the mapping mechanism between perceptual data of processing process and process design data was put forward to realize the establishment of twin data that was the basis of process evaluation. The twin data was fed back to the process design system to realize the circulation, real-time and validity of the process evaluation data. Finally, the twin data-driven process evaluation method was established for the key parts of marine diesel engine. According the developed module of twin data-driven dynamic evaluation, the validity of the proposed method was verified by some examples. © 2019, Editorial Department of CIMS. All right reserved.

引用

页码：1600 / 1610

页数：10

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