A new multiobjective optimization adaptive layering algorithm for 3D printing based on demand-oriented
ISSN: 1355-2546
Article publication date: 11 August 2022
Issue publication date: 27 January 2023
Abstract
Purpose
Adaptive slicing is a key step in 3D printing as it is closely related to the building time and the surface quality. This study aims to develop an adaptive layering algorithm that can coordinate the optimization of printing quality and efficiency to meet different printing needs.
Design/methodology/approach
A multiobjective optimization model is established for printing quality, printing time and layer height based on the variation of surface features, profile slope and curvature of the model. The optimal solution is found by an improved method combining Newton's method and gradient method and adapts to different printing requirements by adjusting the parameter thresholds.
Findings
Several benchmarks are applied to verify this new method. The proposed method has also been compared with the uniform layering method, it reduces the volume error by 46.4% and shortens the printing time by 28.1% and is compared with five existing adaptive layering methods to demonstrate its superior performance.
Originality/value
Compared with other methods with only one layered result, this method is a demand-oriented algorithm that can obtain different results according to different needs and it can reach a trade-off between the building time and the surface quality.
Keywords
Acknowledgements
Funding: NSFC-Shenzhen United Fund (U1913603), Key industrial chain project of Shaanxi Province (2021ZDLGY12-02), National Key Research and Development Plan (2018YFB1306901), China Scholarship Council (202006280332), National Natural Science Foundation of China (62103322), China Postdoctoral Science Foundation (2021M692567), GuangDong Basic and Applied Basic Research Foundation (2020A1515111187).
Citation
Wang, X., Cao, J. and Cao, Y. (2023), "A new multiobjective optimization adaptive layering algorithm for 3D printing based on demand-oriented", Rapid Prototyping Journal, Vol. 29 No. 2, pp. 246-258. https://doi.org/10.1108/RPJ-02-2022-0061
Publisher
:Emerald Publishing Limited
Copyright © 2022, Emerald Publishing Limited