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Academic Journal of Engineering and Technology Science, 2019, 2(3); doi: 10.25236/AJETS.020057.

A slicing parameter optimization method using group search optimization algorithm in STL model for 3D printing application

Author(s)

Zeqing Li 1, 2, *, Xuezhang Zhao 3

Corresponding Author:
Zeqing Li
Affiliation(s)

1. Shenzhen Polytechnic, Shenzhen, Guangdong, 518055, China
2. Tianjin University, Tianjin, 300072, China)
3. Foshan Polytechnic, Foshan, Guangdong, 528137, China
*Corresponding Author: 15120016@mail.szpt.edu.cn

Abstract

In order to improve the accuracy and efficiency of 3D printing, a slicing direction and thickness optimization method based on group search optimization (GSO) algorithm is proposed. Firstly, according to the geometric characteristics of STL data model, the relationship between volume error, production time and layered direction and thickness in 3D printing is analyzed, and a weighted objective function is constructed. Then, the GSO algorithm is used to optimize the solution space to obtain the optimal slicing parameters. The experimental results show that this method can effectively reduce the volume error and improve the printing efficiency.

Keywords

3D printing; slicing parameter optimization; volume deviation; group search optimization algorithm

Cite This Paper

Zeqing Li, Xuezhang Zhao. A slicing parameter optimization method using group search optimization algorithm in STL model for 3D printing application. Academic Journal of Engineering and Technology Science (2019) Vol. 2 Issue 3: 73-84. https://doi.org/10.25236/AJETS.020057.

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