Isogeometric topology optimization for infill designs of porous structures with stress minimization in additive manufacturing

Author:

Wei Dongyu1,Zhu Guoliang1ORCID,Shi Zhiwu2,Gao Liang3ORCID,Sun Baode1,Gao Jie45ORCID

Affiliation:

1. Shanghai Key Laboratory of Advanced High‐temperature Materials and Precision Forming and State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai China

2. Department of Materials Engineering AECC Commercial Aircraft Engine Co., Ltd Shanghai China

3. State Key Lab of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan China

4. School of Aerospace Engineering Huazhong University of Science and Technology Wuhan China

5. National Center of Technology Innovation for Intelligent Design and Numerical Control Wuhan China

Abstract

AbstractPorous structures by additive manufacturing have fascinating and compelling performance compared with solid structures. The stress‐related porous infill designs which could greatly mitigate the effects of the intrinsic high residual stress in additive manufacturing process have gained increasing attention. In the current work, we propose a promising Isogeometric Topology Optimization (ITO) method for porous infill structures with stress minimization to avoid the occurrence of stress concentrations in additive manufacturing. The IsoGeometric Analysis (IGA) and induced p‐norm aggregation are utilized to develop a stress‐minimization topology description model for infill design, which can remove the mesh dependency and offer benefits for improving numerical accuracy and convergence stability. We also introduced global volume constraints to easily control the usage of material and eliminate the over‐fine structures affecting the printing accuracy. Several numerical examples are performed to demonstrate the effectiveness and advantages of the proposed ITO method on porous infill designs with stress minimization. The laser powder bed fusion (LPBF) technique is employed to fabricate several prototypes, and the performance are evaluated by experiments. The advancements of our work are demonstrated effectively, which is adapted for additive manufacturing and practical application.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

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