To read this content please select one of the options below:

3D printing build orientation optimization for flexible support platform

Hongyao Shen (Zhejiang University, Hangzhou, China)
Xiaoxiang Ye (Zhejiang University, Hangzhou, China)
Guanhua Xu (Zhejiang University, Hangzhou, China)
Linchu Zhang (Zhejiang University, Hangzhou, China)
Jun Qian (Zhejiang University, Hangzhou, China)
Jianzhong Fu (Department of Mechanical Engineering, Zhejiang University, Hangzhou, China)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 3 September 2019

Issue publication date: 8 January 2020

531

Abstract

Purpose

During the 3D printing process, the model needs to add a support structure to ensure structural stability. Excessive support structure reduces printing efficiency and results in material cost. A flexible support platform for 3 D printing has been designed. It can form an external support structure to replace the original support structure. This paper aims to study the influence of a model’s build orientation on properties when the model is printed on the platform, aiming to provide users with suitable solutions.

Design/methodology/approach

A fitness function for estimating the support structure with a support length is constructed. The particle swarm optimization (PSO) algorithm is modified and applied to find the build orientation that minimizes the support structure. However, when the model is printed on the platform, the build orientation of the minimum support structure enhances the complexity of the working path, resulting in an increase of printing time, which needs to be avoided. This paper applies a multi-objective particle swarm optimization (MOPSO) algorithm to minimize the support structure while minimizing printing time. The Pareto solution is obtained by the algorithm.

Findings

It is found that the model that has the cantilever structure can reduce more support structure after optimization on the platform, when there is surface quality requirement. When there is no limit, the modified algorithm can minimize the support structure of each model. Considering support structure and printing time, the MOPSO algorithm can easily get optimization results to guide the practical work.

Originality/value

This paper optimizes the model’s build orientation on the flexible support platform by PSO, thereby reducing material cost and improving work efficiency.

Keywords

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (No. 51475421), Fundamental Research Funds for the Central Universities (No. 2019QNA4004), the Science Fund for Creative Research Groups of National Natural Science Foundation of China (No. 51521064), Key research and development plan of Zhejiang Province (No.2018C01073), Postdoctoral Science Foundation of China (2018M632453) and Natural Science Foundation of Jiangsu Province for Young Scholars (BK20150397).

Citation

Shen, H., Ye, X., Xu, G., Zhang, L., Qian, J. and Fu, J. (2020), "3D printing build orientation optimization for flexible support platform", Rapid Prototyping Journal, Vol. 26 No. 1, pp. 59-72. https://doi.org/10.1108/RPJ-09-2018-0252

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

Related articles