Toolpath planning for additive manufacturing using sliced model decomposition and metaheuristic algorithms. (November 2020)

• Record Type: Journal Article
• Authors: Liu, Wenyang; Chen, Ling; Mai, Guangzhen; Song, Lijun
• Is Part Of: Advances in engineering software. Volume 149(2020)
• Publication Date: 2020-11
• Subjects: Additive manufacturing -- Toolpath -- Model decomposition -- Collision avoidance -- Metaheuristic; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2020.102906
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlights: A toolpath planning procedure for additive manufacturing is proposed. Model decomposition is introduced for collision avoidance and complexity reduction. Metaheuristic-based traversing sequence optimization is used in toolpath generation. Optimized toolpaths are validated by building metal and non-metal parts. Abstract: Fabrication efficiency has long been a challenge for additive manufacturing. Standard toolpath generation processes usually give rise to a significant number of non-productive motions that undermine production efficiency and degrade part quality due to frequent acceleration and deceleration in wasted motions. In this paper, we introduce an optimized toolpath generation process that comprises of decomposition of sliced model and optimization of fabrication sequences to minimize non-productive toolpaths. Unlike standard toolpaths, optimized toolpaths carry out fabrication of multiple objects in a staggered sequence to maximize manufacturing efficiency. To tackle the problem of interference between a printhead and objects due to changes in the fabrication sequence of layered depositions, an algorithm that adaptively determines collision-free heights is developed. Additionally, sliced model decomposition considerably reduces the number of entities for optimization. The computational cost involved in toolpath optimization is independent of slicing interval; therefore, the effectiveness and applicability of the proposed optimization approach are well maintained for small slicing intervals. Benchmarks are analyzed to demonstrate the effectiveness and robustness of the proposed toolpath planning approach, and two physical experiments are carried out using fused deposition modeling (FDM) and direct metal deposition (DMD) technologies. Non-productive toolpaths are reduced remarkably, and the desired fabrication quality is achieved for both non-metal and metal structures.