Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

Flow Stress Calculation of IN718 Alloy for Hot Continuous Rolling Process

Authors
Wentao Wang, Han Li, Ke Zhang, Fengli Sui
Corresponding Author
Wentao Wang
Available Online March 2018.
DOI
https://doi.org/10.2991/acaai-18.2018.8How to use a DOI?
Keywords
IN718 alloy; flow stress model; softening fraction model; hot continuous rolling
Abstract

A flow stress calculation model considering the interval softening was established based on the the single- and double-hit true stress-strain curves of IN718 alloy for multiple-pass hot continuous rolling process. The data calculated by the single-hit flow stress model and the double-hit softening fraction model used in the flow stress calculation model are in good agreement with the experimental ones.

Copyright
© 2018, 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 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-483-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/acaai-18.2018.8How to use a DOI?
Copyright
© 2018, 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  - Wentao Wang
AU  - Han Li
AU  - Ke Zhang
AU  - Fengli Sui
PY  - 2018/03
DA  - 2018/03
TI  - Flow Stress Calculation of IN718 Alloy for Hot Continuous Rolling Process
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 29
EP  - 32
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.8
DO  - https://doi.org/10.2991/acaai-18.2018.8
ID  - Wang2018/03
ER  -