Reliability Prediction of Wrought Carbon Steel Castings under Fatigue Loading Using Coupled Mold Optimization and Finite Element Simulation

Research output: Contribution to journalArticlepeer-review

Abstract

The fatigue life and reliability of wrought carbon steel castings produced with an optimized mold design are predicted using a finite element method integrated with reliability calculations. The optimization of the mold is carried out using MAGMASoft mainly based on porosity reduction as a response. After validating the initial mold design with experimental data, a spring flap, a common component of an automotive suspension system is designed and optimized followed by fatigue life prediction based on simulation using Fe-safe. By taking into consideration the variation in both stress and strength, the stress-strength model is used to predict the reliability of the component under fatigue loading. Under typical loading conditions of 70 kN, the analysis showed that 95% of the steel spring flaps achieve infinite life. However, under maximum loading conditions of 90 kN, reliability declined significantly, with only 65% of the spring flaps expected to withstand the stress without failure. The study also identified a safe load-induced stress of 95 MPa on the spring flap. The findings suggest that transitioning from forged to cast spring flaps is a promising option, particularly if further improvements in casting design reduce porosity to negligible levels, potentially achieving 100% reliability under typical loading conditions. This integrated approach of mold optimization coupled with reliability estimation under realistic service loading conditions offers significant potential for the casting industry to produce robust, cost-effective products.

Original languageEnglish
Pages (from-to)2325-2350
Number of pages26
JournalCMES - Computer Modeling in Engineering and Sciences
Volume141
Issue number3
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
Copyright © 2024 The Authors. Published by Tech Science Press.

Keywords

  • Casting
  • automotive suspension
  • finite element
  • optimization
  • reliability
  • simulation

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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