Proceedings of the 2015 International Conference on Mechanical Science and Engineering

Investigation on the Energy Model with Finite Element Method in High Speed Cutting

Authors
Lei Wan, Dazhong Wang
Corresponding Author
Lei Wan
Available Online March 2016.
DOI
10.2991/mse-15.2016.4How to use a DOI?
Keywords
finite element method; energy model; high speed cutting
Abstract

This work focused on the energy model of the machining which can be used to predict the energy variation with finite element method. The energy model is validated with the finite element method using the finite element software ABAQUS. The distributions of the stress, strain and temperature as well as the chip morphology are all simulated vividly when cutting stably. It can be found that the variation of energy corresponds to the chip formation and is correlated to distributions of stress and temperature. This study can provide a reference to study the vibration in the high speed machining and optimization of the tool design.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2015 International Conference on Mechanical Science and Engineering
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-172-8
ISSN
2352-5401
DOI
10.2991/mse-15.2016.4How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Lei Wan
AU  - Dazhong Wang
PY  - 2016/03
DA  - 2016/03
TI  - Investigation on the Energy Model with Finite Element Method in High Speed Cutting
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 20
EP  - 24
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.4
DO  - 10.2991/mse-15.2016.4
ID  - Wan2016/03
ER  -