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Abstract <p>Structural optimization plays a crucial role in engineering by enhancing stability, minimizing stress concentrations, and improving material efficiency. Additive manufacturing, particularly vat photopolymerization with grayscale-masked stereolithography (gMSLA), provides new opportunities for optimizing material property distributions to achieve superior mechanical performance. This study proposes an optimization framework that adjusts grayscale levels in 3D printing to control material properties and mitigate stress peaks exceeding yield stress. This approach integrates finite element analysis with a gradient-based optimization algorithm to optimize material property distributions, enhancing structural integrity. The optimized grayscale distributions are then utilized to fabricate components via gMSLA, and experimental validation confirms the effectiveness of the proposed method in reducing plastic deformation and improving structural performance. The results demonstrate the potential of grayscale optimization in additive manufacturing for producing lightweight, high-performance structures.</p> Graphical abstract <p></p>

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Minimizing stress concentrations through material optimization with grayscale vat photopolymerization

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月30日

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  • Iman Valizadeh,
  • Jasper O. Schommartz,
  • Oliver Weeger

摘要

Abstract

Structural optimization plays a crucial role in engineering by enhancing stability, minimizing stress concentrations, and improving material efficiency. Additive manufacturing, particularly vat photopolymerization with grayscale-masked stereolithography (gMSLA), provides new opportunities for optimizing material property distributions to achieve superior mechanical performance. This study proposes an optimization framework that adjusts grayscale levels in 3D printing to control material properties and mitigate stress peaks exceeding yield stress. This approach integrates finite element analysis with a gradient-based optimization algorithm to optimize material property distributions, enhancing structural integrity. The optimized grayscale distributions are then utilized to fabricate components via gMSLA, and experimental validation confirms the effectiveness of the proposed method in reducing plastic deformation and improving structural performance. The results demonstrate the potential of grayscale optimization in additive manufacturing for producing lightweight, high-performance structures.

Graphical abstract