Manufacturing cost constrained topology optimization for additive manufacturing

Jikai LIU, Qian CHEN, Xuan LIANG, Albert C. TO

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PDF(791 KB)
Front. Mech. Eng. ›› 2019, Vol. 14 ›› Issue (2) : 213-221. DOI: 10.1007/s11465-019-0536-z
RESEARCH ARTICLE
RESEARCH ARTICLE

Manufacturing cost constrained topology optimization for additive manufacturing

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Abstract

This paper presents a manufacturing cost constrained topology optimization algorithm considering the laser powder bed additive manufacturing process. Topology optimization for additive manufacturing was recently extensively studied, and many related topics have been addressed. However, metal additive manufacturing is an expensive process, and the high manufacturing cost severely hinders the widespread use of this technology. Therefore, the proposed algorithm in this research would provide an opportunity to balance the manufacturing cost while pursuing the superior structural performance through topology optimization. Technically, the additive manufacturing cost model for laser powder bed-based process is established in this paper and real data is collected to support this model. Then, this cost model is transformed into a level set function-based expression, which is integrated into the level set topology optimization problem as a constraint. Therefore, by properly developing the sensitivity result, the metallic additive manufacturing part can be optimized with strictly constrained manufacturing cost. Effectiveness of the proposed algorithm is proved by numerical design examples.

Keywords

topology optimization / manufacturing cost / additive manufacturing / powder bed

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Jikai LIU, Qian CHEN, Xuan LIANG, Albert C. TO. Manufacturing cost constrained topology optimization for additive manufacturing. Front. Mech. Eng., 2019, 14(2): 213‒221 https://doi.org/10.1007/s11465-019-0536-z

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Acknowledgement

The authors would like to acknowledge the support from the National Science Foundation (CMMI-1634261).

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2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
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