IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i16p2507-d1456050.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/16/2507/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/16/2507/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Inês A. Ferreira & Radu Godina & Helena Carvalho, 2020. "Waste Valorization through Additive Manufacturing in an Industrial Symbiosis Setting," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    2. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    3. Caviggioli, Federico & Ughetto, Elisa, 2019. "A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society," International Journal of Production Economics, Elsevier, vol. 208(C), pages 254-268.
    4. Luis Isasi-Sanchez & Jesus Morcillo-Bellido & Jose Ignacio Ortiz-Gonzalez & Alfonso Duran-Heras, 2020. "Synergic Sustainability Implications of Additive Manufacturing in Automotive Spare Parts: A Case Analysis," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    5. Gao, Mengdi & Liu, Conghu & Li, Lei & Li, Qiang & Wang, Qingyang & Liu, Zhifeng, 2024. "Emergy-based method for the sustainability assessment and improvement of additive manufacturing systems," Energy, Elsevier, vol. 290(C).
    6. Colin Reiff & Matthias Buser & Thomas Betten & Volkher Onuseit & Max Hoßfeld & Daniel Wehner & Oliver Riedel, 2021. "A Process-Planning Framework for Sustainable Manufacturing," Energies, MDPI, vol. 14(18), pages 1-28, September.
    7. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2023. "Industry 5.0 and Triple Bottom Line Approach in Supply Chain Management: The State-of-the-Art," Sustainability, MDPI, vol. 15(7), pages 1-30, March.
    8. Gokan May & Foivos Psarommatis, 2023. "Maximizing Energy Efficiency in Additive Manufacturing: A Review and Framework for Future Research," Energies, MDPI, vol. 16(10), pages 1-28, May.
    9. Buranská Eva & Buranský Ivan & Morovič Ladislav & Líška Katarína, 2019. "Environment and Safety Impacts of Additive Manufacturing: A Review," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 27(44), pages 9-20, June.
    10. Han Wang & Martin Baumers & Shreeja Basak & Yinfeng He & Ian Ashcroft, 2022. "The impact of the risk of build failure on energy consumption in additive manufacturing," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1771-1783, October.
    11. Kuang, Hewu & Akmal, Zeeshan & Li, Feifei, 2022. "Measuring the effects of green technology innovations and renewable energy investment for reducing carbon emissions in China," Renewable Energy, Elsevier, vol. 197(C), pages 1-10.
    12. Joana R. Gouveia & Sara M. Pinto & Sara Campos & João R. Matos & João Sobral & Sílvia Esteves & Luís Oliveira, 2022. "Life Cycle Assessment and Cost Analysis of Additive Manufacturing Repair Processes in the Mold Industry," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    13. Zhiqiang Yan & Jian Huang & Jingxiang Lv & Jizhuang Hui & Ying Liu & Hao Zhang & Enhuai Yin & Qingtao Liu, 2022. "A New Method of Predicting the Energy Consumption of Additive Manufacturing considering the Component Working State," Sustainability, MDPI, vol. 14(7), pages 1-23, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:16:p:2507-:d:1456050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.