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Journal of Materials Science

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18-11-2022 | Metals & corrosion

A cross-scale analysis method for predicting the compressive mechanical properties of tin-based bearing alloy

Authors: Qin Dong, Hulin Li, Zhongwei Yin

Published in: Journal of Materials Science | Issue 44/2022

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Abstract

A cross-scale analysis method for predicting the compressive mechanical properties of tin-based bearing alloy was proposed based on microstructure finite element simulation and molecular dynamics (MD) simulation. The actual metallographic microstructure of tin-based bearing alloy taken by optical microscopy was utilized to construct the representative volume element (RVE) model for the computational modeling. The compression stress–strain curves of β-Sn and Cu₆Sn₅ obtained by MD simulation were used as the input material property parameters of each constituent phase in RVE model for the microstructure finite element analysis. The compression simulation was carried out for the tin-based bearing alloy with the microstructure containing Sn matrix and Cu₆Sn₅ phase. The results show that the simulation analysis method can predict the compression strength and elasticity of the studied tin-based bearing alloy well by comparing the simulated results with the experimentally obtained data. It is hoped that this paper can provide a simulation method for realizing the prediction of the mechanical properties based on microstructure and revealing the microscope mechanism of materials, thus providing theoretical guidance for the micro-design of high-performance tin-based bearing alloy.

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Title: A cross-scale analysis method for predicting the compressive mechanical properties of tin-based bearing alloy
Authors: Qin Dong
Hulin Li
Zhongwei Yin
Publication date: 18-11-2022
Publisher: Springer US
Published in: Journal of Materials Science / Issue 44/2022
Print ISSN: 0022-2461
Electronic ISSN: 1573-4803
DOI: https://doi.org/10.1007/s10853-022-07923-0

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