Content area

Abstract

Machining is the main method of forming parts/products. The traditional 2D machining technology can no longer meet the requirements of modern manufacturing. Machining process design based on a 3D model can effectively inherit 3D design model information. At the same time, it has a supporting role in the realization of intelligent design of the process and the shopfloor manufacturing system. Process planning is the bridge between product design and manufacturing. The effectiveness and accuracy of process design are the keys to ensuring machining quality. A 3D process design technology is evolving rapidly. Therefore, there is an urgent need to identify the current state of development and future trends in 3D process design technology and to provide an up-to-date literature review for experts and novices alike. This article uses the Web of Science (search platform) to conduct a statistical analysis of 371 publications from 2001 to 2021. It mainly focuses on key technologies: process information management, the establishment of the working procedure model, and the application of 3D processes on the shopfloor. The development process of 3D machining technology was systematically analyzed. Finally, the development trends of 3D process design prospects.

Details

Title
The key technologies of machining process design: a review
Author
Wen Xiaojian 1 ; Liu, Jinfeng 1 ; Du Chenxiao 1 ; Qu Pengfei 1 ; Sheng Sushan 1 ; Liu, Xiaojun 2 ; Zhou Honggen 1 ; Kang, Chao 1 ; Chen, Yu 1 ; Dong, Lei 3 

 Jiangsu University of Science and Technology, School of Mechanical Engineering, Zhenjiang, China (GRID:grid.510447.3) (ISNI:0000 0000 9970 6820) 
 Southeast University, School of Mechanical Engineering, Nanjing, China (GRID:grid.263826.b) (ISNI:0000 0004 1761 0489) 
 AVIC Information Technology Co., Ltd, Beijing, China (GRID:grid.424071.4) (ISNI:0000 0004 1755 1589) 
Pages
2903-2921
Publication year
2022
Publication date
May 2022
Publisher
Springer Nature B.V.
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2656442810
Copyright
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022.