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A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine

Author

Listed:
  • Chunlong Yu

    (School of Mechanical Engineering, Tongji University, Shanghai 201804, China)

  • Junjie Lin

    (School of Mechanical Engineering, Tongji University, Shanghai 201804, China)

Abstract

The scheduling problem in additive manufacturing is receiving increasing attention; however, few have considered the effect of scheduling decisions on machine energy consumption. This research focuses on the nesting and scheduling problem of a single selective laser melting (SLM) machine to reduce total energy consumption. Based on an energy consumption model, a nesting and scheduling problem is formulated, and a mixed integer linear programming model is proposed. This model simultaneously determines part-to-batch assignments, part placement in the batch, and the choice of build orientation to reduce the total energy consumption of the SLM machine. The energy-saving potential of the model is validated through numerical experiments. Additionally, the effect of the number of alternative build orientations on energy consumption is explored.

Suggested Citation

  • Chunlong Yu & Junjie Lin, 2024. "A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine," Mathematics, MDPI, vol. 12(16), pages 1-20, August.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:16:p:2507-:d:1456050
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    References listed on IDEAS

    as
    1. Jingxiang Lv & Tao Peng & Yingfeng Zhang & Yuchang Wang, 2021. "A novel method to forecast energy consumption of selective laser melting processes," International Journal of Production Research, Taylor & Francis Journals, vol. 59(8), pages 2375-2391, April.
    2. Jeremy Faludi & Martin Baumers & Ian Maskery & Richard Hague, 2017. "Environmental Impacts of Selective Laser Melting: Do Printer, Powder, Or Power Dominate?," Journal of Industrial Ecology, Yale University, vol. 21(S1), pages 144-156, November.
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