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Part decomposition efficiency expectation evaluation in additive manufacturing process planning

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  • Yaroslav Garashchenko
  • Miroslaw Rucki

Abstract

In this paper, research results are presented and discussed on the efficient use of additive manufacturing (AM) machine workspace with a specific focus on the features of part construction and decomposition, which provide savings of material and energy. Statistical analysis of the distribution of material by subspaces revealed some relationship between construction features and the effectiveness of part decomposition. The initial triangulated model was converted into a voxel model, and the latter is analyzed with the proposed algorithm. The workspace of an AM machine was divided into subspaces of the same volume with parallel steadily distributed planes perpendicular to the coordinate axes. Based on the models of typical industrial parts, it was proving that the algorithm was able to analyze the effectiveness of part decomposition. Moreover, some indexes were proposed to allow the quantitative analysis of part decomposition and packing (workspace planning task) effectiveness. The proposed index of the specific volume of utilised workspace enabled the minimising of the cost of given parts by using AM processes.

Suggested Citation

  • Yaroslav Garashchenko & Miroslaw Rucki, 2021. "Part decomposition efficiency expectation evaluation in additive manufacturing process planning," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6745-6757, November.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:22:p:6745-6757
    DOI: 10.1080/00207543.2020.1824084
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