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Article | Open Access

A novel Angle-Constrained Optimization method of Conformal Lattice Structures

Jun Yan1,2Weibin Xu1Fuhao Wang1Sixu Huo3Kun Yan4( )
State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, China
Ningbo Research Institute of Dalian University of Technology, Ningbo, China
Shenyang Aircraft Design and Research Institute, Aviation Industry Corporation of China (AVIC), Shenyang, China
School of Chemical Machinery and Safety, Dalian University of Technology, Dalian, China
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Abstract

Conformal truss-like lattice structures face significant manufacturability challenges in additive manufacturing due to overhang angle limitations. To address this problem, we propose a novel angle-constrained optimization method grounded in the global adjustment of nodal coordinates. First, a build direction is selected to minimize the number of violating struts. Then, an angular-constraint matrix is assembled from strut direction vectors, and analytical sensitivities with respect to nodal coordinates are derived to enable efficient constrained optimization under nonlinear angular inequality constraints. Numerical studies on two complex curved-surface lattices demonstrate that all overhang violations are eliminated while only minor changes are induced in global stiffness and strength. In particular, the maximum displacement of an ergonomic insole varies by only 2.87% after optimization. The results confirm the method’s versatility and engineering robustness, providing a practical approach for additive manufacturing-oriented lattice structure design.

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Computer Modeling in Engineering & Sciences
Article number: 8

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Cite this article:
Yan J, Xu W, Wang F, et al. A novel Angle-Constrained Optimization method of Conformal Lattice Structures. Computer Modeling in Engineering & Sciences, 2026, 146(2): 8. https://doi.org/10.32604/cmes.2026.076948

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Received: 29 November 2025
Accepted: 27 January 2026
Published: 26 February 2026
© The Author 2026.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.