IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i2p877-d723685.html
   My bibliography  Save this article

Increasing the Sustainability of the Hybrid Mold Technique through Combined Insert Polymeric Material and Additive Manufacturing Method Design

Author

Listed:
  • Ellen Fernandez

    (Centre for Polymer and Material Technologies, Department of Materials, Textile and Chemical Engineering, Ghent University, 9000 Gent, Belgium)

  • Mariya Edeleva

    (Laboratory for Chemical Technology, Department of Materials, Textile and Chemical Engineering, Ghent University, 9000 Gent, Belgium)

  • Rudinei Fiorio

    (Centre for Polymer and Material Technologies, Department of Materials, Textile and Chemical Engineering, Ghent University, 9000 Gent, Belgium)

  • Ludwig Cardon

    (Centre for Polymer and Material Technologies, Department of Materials, Textile and Chemical Engineering, Ghent University, 9000 Gent, Belgium)

  • Dagmar R. D’hooge

    (Laboratory for Chemical Technology, Department of Materials, Textile and Chemical Engineering, Ghent University, 9000 Gent, Belgium
    Centre for Textile Science and Engineering, Department of Materials, Textile and Chemical Engineering, Ghent University, 9000 Gent, Belgium)

Abstract

To reduce plastic waste generation from failed product batches during industrial injection molding, the sustainable production of representative prototypes is essential. Interesting is the more recent hybrid injection molding (HM) technique, in which a polymeric mold core and cavity are produced via additive manufacturing (AM) and are both placed in an overall metal housing for the final polymeric part production. HM requires less material waste and energy compared to conventional subtractive injection molding, at least if its process parameters are properly tuned. In the present work, several options of AM insert production are compared with full metal/steel mold inserts, selecting isotactic polypropylene as the injected polymer. These options are defined by both the AM method and the material considered and are evaluated with respect to the insert mechanical and conductive properties, also considering Moldex3D simulations. These simulations are conducted with inputted measured temperature-dependent AM material properties to identify in silico indicators for wear and to perform cooling cycle time minimization. It is shown that PolyJetted Digital acrylonitrile-butadiene-styrene (ABS) polymer and Multi jet fusioned (MJF) polyamide 11 (PA11) are the most promising. The former option has the best durability for thinner injection molded parts, and the latter option the best cooling cycle times at any thickness, highlighting the need to further develop AM options.

Suggested Citation

  • Ellen Fernandez & Mariya Edeleva & Rudinei Fiorio & Ludwig Cardon & Dagmar R. D’hooge, 2022. "Increasing the Sustainability of the Hybrid Mold Technique through Combined Insert Polymeric Material and Additive Manufacturing Method Design," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:877-:d:723685
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/2/877/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/2/877/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Berman, Barry, 2012. "3-D printing: The new industrial revolution," Business Horizons, Elsevier, vol. 55(2), pages 155-162.
    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. Francesco Cappa & Fausto Del Sette & Darren Hayes & Federica Rosso, 2016. "How to Deliver Open Sustainable Innovation: An Integrated Approach for a Sustainable Marketable Product," Sustainability, MDPI, vol. 8(12), pages 1-14, December.
    2. Florinda Matos & Radu Godina & Celeste Jacinto & Helena Carvalho & Inês Ribeiro & Paulo Peças, 2019. "Additive Manufacturing: Exploring the Social Changes and Impacts," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    3. Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Xiaodong Liu & Gong Wang, 2023. "Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2477-2493, June.
    4. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    5. George Cornel Dumitrescu & Ion Alexandru Tanase, 2016. "3D Printing – A New Industrial Revolution," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 8(1), pages 32-39, March.
    6. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
    7. Ghobadian, Abby & Talavera, Irene & Bhattacharya, Arijit & Kumar, Vikas & Garza-Reyes, Jose Arturo & O'Regan, Nicholas, 2020. "Examining legitimatisation of additive manufacturing in the interplay between innovation, lean manufacturing and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 457-468.
    8. Rong, Ke & Patton, Dean & Chen, Weiwei, 2018. "Business models dynamics and business ecosystems in the emerging 3D printing industry," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 234-245.
    9. Guo, Shu & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Self-design fun: Should 3D printing be employed in mass customization operations?," European Journal of Operational Research, Elsevier, vol. 299(3), pages 883-897.
    10. Calza, Elisa & Lavopa, Alejandro & Ligia Zagato, 2022. "Advanced digital technologies and industrial resilience during the COVID-19 pandemic: A firm-level perspective," MERIT Working Papers 2022-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Tullio de Rubeis & Annamaria Ciccozzi & Letizia Giusti & Dario Ambrosini, 2022. "The 3D Printing Potential for Heat Flow Optimization: Influence of Block Geometries on Heat Transfer Processes," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    12. Grimaldi, Didier & Fernandez, Vicenc, 2017. "The alignment of University curricula with the building of a Smart City: A case study from Barcelona," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 298-306.
    13. Aristotelis Mavidis & Dimitris Folinas, 2022. "From Public E-Procurement 3.0 to E-Procurement 4.0; A Critical Literature Review," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    14. Alexandra Ioana FLOREA IONESCU, 2015. "The Disruptive Force Of 3d Printing On Supply Chains," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 5(2), pages 102-109, June.
    15. Naghshineh, Bardia & Ribeiro, André & Jacinto, Celeste & Carvalho, Helena, 2021. "Social impacts of additive manufacturing: A stakeholder-driven framework," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    16. Birtchnell, Thomas & Böhme, Tillmann & Gorkin, Robert, 2017. "3D printing and the third mission: The university in the materialization of intellectual capital," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 240-249.
    17. Faisal Iddris, 2018. "Digital Supply Chain: Survey of the Literature," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 9(1), pages 47-61, June.
    18. Sandström, Christian G., 2016. "The non-disruptive emergence of an ecosystem for 3D Printing — Insights from the hearing aid industry's transition 1989–2008," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 160-168.
    19. Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Personalization of Products in the Industry 4.0 Concept and Its Impact on Achieving a Higher Level of Sustainable Consumption," Energies, MDPI, vol. 13(22), pages 1-19, November.
    20. Katrin Oettmeier & Erik Hofmann, 2017. "Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants," Journal of Business Economics, Springer, vol. 87(1), pages 97-124, January.

    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:jsusta:v:14:y:2022:i:2:p:877-:d:723685. 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.