Analyzing the Effects of Void Characteristics on the Compliance of Topology Optimized Structures for Additive Manufacturing

This study investigates the impact of void parameters, such as number, shape, and size, on the structural compliance of topology-optimized structures in the context of additive manufacturing. The optimization is performed using the Sequential Element Rejection and Admission algorithm, with a cantilever beam model subjected to a vertical load. Voids, modeled as elliptical regions with varying aspect ratios and saturations, are introduced into the optimized structure to simulate potential manufacturing defects. The influence of these void parameters on compliance is evaluated through finite element analysis, focusing on the relationship between void saturation, aspect ratio, and void size. The results indicate that compliance increases with higher void saturations, the impact of void shape is more pronounced at high saturations. These findings provide insights into optimizing void characteristics for enhanced structural performance in additive manufacturing.

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Publication Details

Journal
HCMCOU Journal of Science – Advances in Computational Structures
Published
2025-03-15
DOI
https://doi.org/10.46223/hcmcoujs.acs.en.15.1.66.2025
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
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article

Analyzing the Effects of Void Characteristics on the Compliance of Topology Optimized Structures for Additive Manufacturing

Morteza Saadatmorad, Brahim Benaissa, Musaddiq Al Ali, Bochra Khatir
4 links
HCMCOU Journal of Science – Advances in Computational Structures
Additive Manufacturing and 3D Printing Technologies
article

Analyzing the Effects of Void Characteristics on the Compliance of Topology Optimized Structures for Additive Manufacturing

Morteza Saadatmorad, Brahim Benaissa, Musaddiq Al Ali, Bochra Khatir
article en

Abstract

This study investigates the impact of void parameters, such as number, shape, and size, on the structural compliance of topology-optimized structures in the context of additive manufacturing. The optimization is performed using the Sequential Element Rejection and Admission algorithm, with a cantilever beam model subjected to a vertical load. Voids, modeled as elliptical regions with varying aspect ratios and saturations, are introduced into the optimized structure to simulate potential manufacturing defects. The influence of these void parameters on compliance is evaluated through finite element analysis, focusing on the relationship between void saturation, aspect ratio, and void size. The results indicate that compliance increases with higher void saturations, the impact of void shape is more pronounced at high saturations. These findings provide insights into optimizing void characteristics for enhanced structural performance in additive manufacturing.

HCMCOU Journal of Science – Advances in Computational Structures
Northwest African American Museum (US), Toyota Technological Institute (JP), Babol Noshirvani University of Technology (IR)
Openalex Percentile: Top 94%
Additive Manufacturing and 3D Printing Technologies
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