Intelligent Fixture System For CNC Milling Machining Of Thin-walled Structure

DOI

10.2991/msota-16.2016.97How to use a DOI?

Keywords

thin-walled parts; milling; high precision; machining deformation; finite element; 3D modeling

Abstract

This paper mainly makes the analysis of the corresponding problems of Milling Thin-walled Structures in aerospace field with a digital control. The main contents are as follows: Firstly, on the basis of the present research, the processing characteristics of thin-walled parts under high-speed machining technology and the actual processing problems are summarized. Secondly, selecting the vertical milling process as the object of study, the elastic and elastic plastic deformation of the thin wall plate are analyzed in theory, and the finite element model is established to simulate the machining process. Thirdly, according to the existing research, the phenomenon of cutting chatter occurred in the processing of thin-walled parts and the problems caused by it are studied. Fourthly, in view of the above-mentioned problems of elastic-plastic deformation and flutter, a more effective solution is proposed and a new idea and basic design of the intelligent fixture system of thin-walled structure is proposed. Finally, using CATIA software, 3D solid modeling of this intelligent fixture is carried out.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhijie Zhang
AU  - Jingyu Yang
AU  - Hailong Wang
AU  - Chen Li
AU  - Qing Wang
AU  - Jiahe Sun
AU  - Tianfen Mo
AU  - Shiwei Sun
PY  - 2016/12
DA  - 2016/12
TI  - Intelligent Fixture System For CNC Milling Machining Of Thin-walled Structure
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 436
EP  - 440
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.97
DO  - 10.2991/msota-16.2016.97
ID  - Zhang2016/12
ER  -