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Intelligent layout planning for rapid prototyping

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  • A. S. Gogate
  • S. S. Pande

Abstract

Significant savings in cost and time can be achieved in rapid prototyping (RP) by manufacturing multiple parts in a single setup to achieve efficient machine volume utilization. This paper reports the design and implementation of a system for the optimal layout planning of 3D parts for a RP process. A genetic algorithm (GA) based search strategy has been used to arrive at a good packing layout for a chosen set of parts and RP process. A two stage approach has been proposed to initially short-list acceptable orientations for each part followed by the search for a layout plan which optimizes in terms of final product quality and build time. The GA uses a hybrid objective function comprising of the weighted measures like part build height, staircase effect, volume and area-of-contact of support structures. In essence it captures the key metrics of efficiency and goodness of packing for RP. The final layout plan is produced in the form of a composite part CAD model which can be directly exported to a RP machine for manufacturing. Design methodology of the system has been presented with some representative case studies.

Suggested Citation

  • A. S. Gogate & S. S. Pande, 2008. "Intelligent layout planning for rapid prototyping," International Journal of Production Research, Taylor & Francis Journals, vol. 46(20), pages 5607-5631, January.
    • Handle: RePEc:taf:tprsxx:v:46:y:2008:i:20:p:5607-5631
    DOI: 10.1080/00207540701277002
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    Cited by:

    1. Alexander Pankratov & Tatiana Romanova & Igor Litvinchev, 2020. "Packing Oblique 3D Objects," Mathematics, MDPI, vol. 8(7), pages 1-17, July.
    2. Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Gong Wang & Shan Li, 2023. "A nesting optimization method based on digital contour similarity matching for additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2825-2847, August.
    3. Romanova, Tatiana & Stoyan, Yurij & Pankratov, Alexander & Litvinchev, Igor & Plankovskyy, Sergiy & Tsegelnyk, Yevgen & Shypul, Olga, 2021. "Sparsest balanced packing of irregular 3D objects in a cylindrical container," European Journal of Operational Research, Elsevier, vol. 291(1), pages 84-100.
    4. Griffiths, Valeriya & Scanlan, James P. & Eres, Murat H. & Martinez-Sykora, Antonio & Chinchapatnam, Phani, 2019. "Cost-driven build orientation and bin packing of parts in Selective Laser Melting (SLM)," European Journal of Operational Research, Elsevier, vol. 273(1), pages 334-352.
    5. Jose M. Framinan & Paz Perez-Gonzalez & Victor Fernandez-Viagas, 2023. "An overview on the use of operations research in additive manufacturing," Annals of Operations Research, Springer, vol. 322(1), pages 5-40, March.

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