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Multivariate Modeling of Mechanical Properties for Hot Runner Molded Bioplastics and a Recycled Polypropylene Blend

Author

Listed:
  • David O. Kazmer

    (Department of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA)

  • Davide Masato

    (Department of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA)

  • Leonardo Piccolo

    (Department of Mechanical Engineering, Università Degli Studi Di Padova, 2-35122 Padova, Italy)

  • Kyle Puleo

    (Department of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA)

  • Joshua Krantz

    (Department of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA)

  • Varun Venoor

    (Department of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA)

  • Austin Colon

    (Department of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA)

  • Justin Limkaichong

    (Department of Materials Science, University of Oxford, Oxford OX1 2JD, UK)

  • Neil Dewar

    (Mold-Masters Ltd., Georgetown, ON L7G 4X5, Canada)

  • Denis Babin

    (Mold-Masters Ltd., Georgetown, ON L7G 4X5, Canada)

  • Cheryl Sayer

    (Mold-Masters Ltd., Georgetown, ON L7G 4X5, Canada)

Abstract

Four sustainable materials including a recycled polypropylene blend, polybutylene adipate terephthalate, and two grades of polylactic acid are compared to a reference isotactic polypropylene. Tensile specimens were produced using a two-cavity, hot runner mold with fully automatic cycles per standard industrial practices to investigate the effect of melt temperature, injection velocity, cycle time, and screw speed on the mechanical properties. Multiple regression and principal component analyses were performed for each of the materials. Results indicated that all the materials were readily processed using a hot runner, and the mechanical properties exhibited minimal variation. To the extent that losses in mechanical properties were observed, the results indicated that the losses were correlated with thermal degradation as independently characterized by thermal gravimetric analysis. Such losses can be minimized by reducing melt temperature and cycle time, leading to a reduction of the environmental impact of injection molding processes.

Suggested Citation

  • David O. Kazmer & Davide Masato & Leonardo Piccolo & Kyle Puleo & Joshua Krantz & Varun Venoor & Austin Colon & Justin Limkaichong & Neil Dewar & Denis Babin & Cheryl Sayer, 2021. "Multivariate Modeling of Mechanical Properties for Hot Runner Molded Bioplastics and a Recycled Polypropylene Blend," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8102-:d:597776
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    References listed on IDEAS

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    1. Kunnika Changwichan & Thapat Silalertruksa & Shabbir H. Gheewala, 2018. "Eco-Efficiency Assessment of Bioplastics Production Systems and End-of-Life Options," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    2. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    3. Luc Alaerts & Michael Augustinus & Karel Van Acker, 2018. "Impact of Bio-Based Plastics on Current Recycling of Plastics," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    4. Ana Elduque & Carlos Javierre & Daniel Elduque & Ángel Fernández, 2015. "LCI Databases Sensitivity Analysis of the Environmental Impact of the Injection Molding Process," Sustainability, MDPI, vol. 7(4), pages 1-9, March.
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    Cited by:

    1. Davide Masato & Sun Kyoung Kim, 2023. "Global Workforce Challenges for the Mold Making and Engineering Industry," Sustainability, MDPI, vol. 16(1), pages 1-28, December.

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