Microstructure Prediction for Cryogenic Cutting Using a Physics-based Material Model

Ninggang Shen; Hongtao Ding

doi:10.1016/j.procir.2016.02.063

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Microstructure Prediction for Cryogenic Cutting Using a Physics-based Material Model

Journal article

Open access

Peer reviewed

Microstructure Prediction for Cryogenic Cutting Using a Physics-based Material Model

Ninggang Shen and Hongtao Ding

Procedia CIRP, Vol.45, pp.107-110

2016

DOI: 10.1016/j.procir.2016.02.063

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Abstract

Cryogenic cutting has been demonstrated as an effective machining process for magnesium (Mg) alloy to improve its machined surface integrity. Previous numerical studies on cryogenic cutting are mostly based on phenomenological material constitutive models, and have not considered the material twinning response during the process. In this paper, a physics-based constitutive material plasticity is developed based on both slip and twinning mechanisms and applied to model the microstructural evolution during cryogenic cutting of AZ31B-O Mg alloy. The FE model results are further discussed in terms of grain size, microhardness, residual stress, and slip/ twinning transition during the cryogenic cutting process.

cryogenic cutting

dislocation density

magnesium alloy

microstructure

Surface integrity

twinning

Details

Title: Subtitle: Microstructure Prediction for Cryogenic Cutting Using a Physics-based Material Model
Creators: Ninggang Shen - University of Iowa
Hongtao Ding - University of Iowa
Resource Type: Journal article
Publication Details: Procedia CIRP, Vol.45, pp.107-110
DOI: 10.1016/j.procir.2016.02.063
ISSN: 2212-8271
eISSN: 2212-8271
Publisher: Elsevier B.V
Language: English
Date published: 2016
Academic Unit: Mechanical Engineering
Record Identifier: 9984196542502771

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