CALPHAD-based alloy design for advanced automotive steels - Part I: Development of bearing steels with enhanced strength and optimized microstructure

Alloy design is of prime importance for automotive steels to achieve desired properties, such as strength, hardenability and wear resistance. In the present study, CALPHAD-based computational techniques have been successfully utilized to develop advanced steels for automotive applications. The first...

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Bibliographic Details
Published in:Calphad 2016-09, Vol.54, p.165-171
Main Authors: Cha, Sung Chul, Hong, Seung-Hyun, Kim, Iksoo, Kim, Myung-Yeon, Park, Jihye, Suh, Jin-Yoo, Shim, Jae-Hyeok, Jung, Woo-Sang
Format: Article
Language:English
Subjects:
Alloy design
Alloy steels
Automotive components
Bearing steels
Computation
Computer simulation
Mathematical models
Mechanical property
Precipitation
Steels
Strength
Structural steels
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Summary:Alloy design is of prime importance for automotive steels to achieve desired properties, such as strength, hardenability and wear resistance. In the present study, CALPHAD-based computational techniques have been successfully utilized to develop advanced steels for automotive applications. The first part of this series describes an integrated computational approach for the compositional modification of bearing steels. A conventional 100CrMn6 bearing steel has been precisely redesigned to achieve strength enhancement with optimized cementite size distribution. The strength of the modified bearing steel was further improved by the addition of 0.2wt% V using fine vanadium carbide precipitates. Experimental verification of the calculated results confirmed the reliability of the computational method employed in this study. [Display omitted] •CALPHAD-based computational method is utilized to develop advanced bearing steels.•The content of C and Mn is redesigned to enhance strength and hardenability.•Composition of Si and V is modified for microstructural optimization.•Experimental results confirm the reliability of the computational methods.
ISSN:0364-5916
1873-2984
DOI:10.1016/j.calphad.2016.04.007