Efficient Multiscale Modeling and Validation of Residual Stress Field in Cutting

F. Wang; Z. Y. Liu; Y. B. Guo; J. Zhao; Z. Q. Liu

doi:10.1115/1.4036714

Efficient Multiscale Modeling and Validation of Residual Stress Field in Cutting

F. Wang, Z. Y. Liu, Y. B. Guo, J. Zhao, Z. Q. Liu

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Residual stress (RS) has significant impact on cutting process optimization. However, conventional process modeling approaches are limited to only single cutting pass on very short length and time scales due to the exceedingly high computational cost. This work provides a new concept of equivalent loading which enables an efficient modeling approach to predict RS in an actual machined surface by incorporating multiple cutting passes and crossing different length and time scales. The predicted residual stress profiles are validated in turning Inconel 718 superalloy under different edge geometries and process conditions.

Original language	English (US)
Article number	091004
Journal	Journal of Manufacturing Science and Engineering, Transactions of the ASME
Volume	139
Issue number	9
DOIs	https://doi.org/10.1115/1.4036714
State	Published - Sep 1 2017
Externally published	Yes

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Mechanical Engineering
Computer Science Applications
Industrial and Manufacturing Engineering

Keywords

cutting
multiscale modeling
residual stress

Access to Document

10.1115/1.4036714

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Cite this

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title = "Efficient Multiscale Modeling and Validation of Residual Stress Field in Cutting",

abstract = "Residual stress (RS) has significant impact on cutting process optimization. However, conventional process modeling approaches are limited to only single cutting pass on very short length and time scales due to the exceedingly high computational cost. This work provides a new concept of equivalent loading which enables an efficient modeling approach to predict RS in an actual machined surface by incorporating multiple cutting passes and crossing different length and time scales. The predicted residual stress profiles are validated in turning Inconel 718 superalloy under different edge geometries and process conditions.",

keywords = "cutting, multiscale modeling, residual stress",

author = "F. Wang and Liu, {Z. Y.} and Guo, {Y. B.} and J. Zhao and Liu, {Z. Q.}",

note = "Funding Information: This research was supported by NSF Grant No. 1521188 and NSFC Grant No. 51425503.",

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T1 - Efficient Multiscale Modeling and Validation of Residual Stress Field in Cutting

AU - Wang, F.

AU - Liu, Z. Y.

AU - Guo, Y. B.

AU - Zhao, J.

AU - Liu, Z. Q.

N1 - Funding Information: This research was supported by NSF Grant No. 1521188 and NSFC Grant No. 51425503.

PY - 2017/9/1

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N2 - Residual stress (RS) has significant impact on cutting process optimization. However, conventional process modeling approaches are limited to only single cutting pass on very short length and time scales due to the exceedingly high computational cost. This work provides a new concept of equivalent loading which enables an efficient modeling approach to predict RS in an actual machined surface by incorporating multiple cutting passes and crossing different length and time scales. The predicted residual stress profiles are validated in turning Inconel 718 superalloy under different edge geometries and process conditions.

AB - Residual stress (RS) has significant impact on cutting process optimization. However, conventional process modeling approaches are limited to only single cutting pass on very short length and time scales due to the exceedingly high computational cost. This work provides a new concept of equivalent loading which enables an efficient modeling approach to predict RS in an actual machined surface by incorporating multiple cutting passes and crossing different length and time scales. The predicted residual stress profiles are validated in turning Inconel 718 superalloy under different edge geometries and process conditions.

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KW - multiscale modeling

KW - residual stress

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