Multiscale fatigue-prediction method to assess life of A356-T6 alloy wheel under biaxial loads

Duan, Yongchuan; Zhang, Fang-Fang; Yao, Dan; Hu, Jinhua; Dong, Rui; Zhao, Xu; Guan, Yaping

doi:10.1016/j.engfailanal.2021.105752

Cited by 9 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the failure analysis, fatigue failure is the main failure form of the wheel in service 8,9 . Therefore, the research on fatigue performance of wheels is always the focus of safe service of wheels, and its results directly determine the reliability and driving safety of vehicles 10,11 .…”

Section: Introductionmentioning

confidence: 99%

“…7 According to the failure analysis, fatigue failure is the main failure form of the wheel in service. 8,9 Therefore, the research on fatigue performance of wheels is always the focus of safe service of wheels, and its results directly determine the reliability and driving safety of vehicles. 10,11 At present, the research on the fatigue properties of cast and spin aluminum alloy is relatively small, and people focus on the cast aluminum alloy wheels.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Casting and spinning aluminum alloy wheel fatigue properties and life prediction study

Zhang,

Song,

Yan

et al. 2023

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

To accurately predict the fatigue life of cast aluminum alloy wheels, based on the results of finite element calculation and simulation, this work selected the rim area, inner flange and spoke areas to conduct systematic tensile and high‐cycle fatigue tests. The results show that the tensile properties of A356‐T6 cast aluminum alloy wheels are similar in various areas, but the fatigue properties are significantly different. Plastic deformation can improve the fatigue strength of the aluminum alloy, but the fatigue properties are also affected by deformation uniformity and other factors. Based on the difference of mechanical properties in different areas, this study also selected the characteristic loading spectrum to predict the fatigue life of wheels. A linear and a nonlinear damage accumulation were employed. The above methods are not only applicable to the wheel, but also provides a new idea for the life prediction of key parts in the engineering field.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Casting and spinning aluminum alloy wheel fatigue properties and life prediction study

Zhang,

Song,

Yan

et al. 2023

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…Dong et al 13 established an effective method to predict the fatigue life of vehicle wheels in the fatigue test of accelerated dynamic turning, and the fatigue life error predicted by this method is 29%. Duan et al 14 proposed a new multi-scale biaxial fatigue simulation method, which laid a solid foundation for optimal design and big data fatigue prediction of aluminum alloy wheels.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life optimization and lightweight design of wheel based on entropy weight grey relation analysis and modified NSGA-II

Zhang,

Lu,

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In order to study the fatigue performance of wheel and enhance its lightweight design level, this article proposes the structure, design and optimization method of magnesium-aluminum alloy assembled wheel. Taking a [Formula: see text] type wheel as the research object, the optimal topology of wheel spoke is solved by constructing a topology optimization model for wheel bending and radial fatigue test conditions. A finite element model for bending and radial fatigue testing of assembled wheels was established, which simulates and analyzes the fatigue performance and its influencing factors of the wheel under two working conditions. Combined with contribution analysis method, the modified NSGA-II and entropy weight grey relation analysis (EGRA), the multi-objective optimization of assembled wheel was performed. The result demonstrated that the weight reduction of the assembled wheel after optimized design is 4.49%, while the bending fatigue life and radial fatigue safety factor are decreased by 9.95% and 25%, respectively. In order to better balance the performance of assembled wheel and achieve lightweight design, this article combines the joint topology optimization of assembled wheels with multi-objective optimization method for multiple working conditions and screens the optimal compromise solution by EGRA, which provides an approach for wheel lightweight design and multi-objective optimization.

show abstract

Passenger Cars Wheel Performance Test Simulation for Service Life Evaluation: A Review

Koppisetti

Ramanaiah

Penmetsa³

2022

J Fail. Anal. and Preven.

View full text Add to dashboard Cite

Multiscale fatigue-prediction method to assess life of A356-T6 alloy wheel under biaxial loads

Cited by 9 publications

References 24 publications

Casting and spinning aluminum alloy wheel fatigue properties and life prediction study

Casting and spinning aluminum alloy wheel fatigue properties and life prediction study

Fatigue life optimization and lightweight design of wheel based on entropy weight grey relation analysis and modified NSGA-II

Passenger Cars Wheel Performance Test Simulation for Service Life Evaluation: A Review

Contact Info

Product

Resources

About