Effect of design optimization and material selection on the fatigue performance and fracture mechanism of a crank arm

The nature of additive manufacturing techniques enables them to fabricate complex designs with intricate features that are not feasible to produce via traditional ways. However, such changes in the original designs can alter the stress flow throughout the components and their mechanical performance; such issues can impose limitations against the feasibility of design optimization via additive manufacturing and must be considered doing so. This study investigates the design optimization of a high-performance bicycle crank arm fabricated by additive manufacturing using the laser powder-bed fusion technique (L-PBF). The main aim of the optimization was to decrease the overall weight of the component while maintaining its fatigue performance. Further, increasing the strength-to-weight ratio of the crank arm by decreasing the unit length of its material was considered in this research by changing the L-PBF’s raw material from stainless steel 316L to lighter alloys, i.e., Al5X1 aluminum alloy and Ti64 titanium alloy. Finally, each alloy’s defect distribution (including porosities and lack of fusions), microstructure, and fractography analysis were considered to establish a correlation between each material’s characteristics and its performance as an engineering component under cyclic loads. The results indicated successful design optimization using 316L and Ti64 alloys as raw materials for additive manufacturing; however, components made of the aluminum alloy had comparably inferior fatigue performance. Such discrepancies in fatigue performance can be attributed to their different defect distributions and surface quality features.

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Publication Details

Journal
Procedia Structural Integrity
Published
2025-01-01
DOI
https://doi.org/10.1016/j.prostr.2025.06.152
Citations
1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.68

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article

Effect of design optimization and material selection on the fatigue performance and fracture mechanism of a crank arm

Masoud Moshtaghi, Kalle Lipiäinen, E R Komi, Tero Pesonen et al.
1 citations
Procedia Structural Integrity
Additive Manufacturing and 3D Printing Technologies
0.68
article

Effect of design optimization and material selection on the fatigue performance and fracture mechanism of a crank arm

Masoud Moshtaghi, Kalle Lipiäinen, E R Komi, Tero Pesonen, Shahriar Afkhami
article en
1 citations

Abstract

The nature of additive manufacturing techniques enables them to fabricate complex designs with intricate features that are not feasible to produce via traditional ways. However, such changes in the original designs can alter the stress flow throughout the components and their mechanical performance; such issues can impose limitations against the feasibility of design optimization via additive manufacturing and must be considered doing so. This study investigates the design optimization of a high-performance bicycle crank arm fabricated by additive manufacturing using the laser powder-bed fusion technique (L-PBF). The main aim of the optimization was to decrease the overall weight of the component while maintaining its fatigue performance. Further, increasing the strength-to-weight ratio of the crank arm by decreasing the unit length of its material was considered in this research by changing the L-PBF’s raw material from stainless steel 316L to lighter alloys, i.e., Al5X1 aluminum alloy and Ti64 titanium alloy. Finally, each alloy’s defect distribution (including porosities and lack of fusions), microstructure, and fractography analysis were considered to establish a correlation between each material’s characteristics and its performance as an engineering component under cyclic loads. The results indicated successful design optimization using 316L and Ti64 alloys as raw materials for additive manufacturing; however, components made of the aluminum alloy had comparably inferior fatigue performance. Such discrepancies in fatigue performance can be attributed to their different defect distributions and surface quality features.

Procedia Structural IntegrityVol. 68
Hyvinkää Hospital (FI), Lappeenranta-Lahti University of Technology (FI)
Business Finland
Openalex Percentile: Top 28%
Additive Manufacturing and 3D Printing Technologies
0.68
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