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Modify the Injection Machine Mechanism to Enhance the Recycling of Plastic Waste Mixed with MHD Nanoparticles

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  • Ahmed M. Abed

    (Department of Industrial Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj P.O. Box 16273, Saudi Arabia
    Department of Industrial Engineering, College of Engineering, Zagazig University, Zagazig 44519, Egypt)

  • Ali AlArjani

    (Department of Industrial Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj P.O. Box 16273, Saudi Arabia)

  • Laila F. Seddek

    (Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin AbdulAziz University, Alkharj P.O. Box 11942, Saudi Arabia)

  • Samia ElAttar

    (Department of Industrial and Systems Engineering, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh P.O. Box 84428, Saudi Arabia
    Department of Industrial Engineering, Alexandria Higher Institute of Engineering and Technology (AIET), Alexandria 21311, Egypt)

Abstract

Recycling plastic waste (RPW) benefits the ecological footprint. Therefore, the authors test its mixing by magnetic hydrodynamic MHD nanofluid materials such as alumina in two sizes ( β c o r e , β s k i n ) prepared into a new device called the incubator installed in the desktop injection machine to enhance its solubility by taking advantage of the mixture’s heat via defining the oblique stagnation-point slip flow (OSPSF) of a nanofluid in two dimensions. The paper has been innovative in mathematically identifying the operating parameters’ values for the injection flow mechanism (IFM) via controlling in Riga magnetic field and piston orifice pressure using a meta-heuristic algorithm called WSA. The proposed (IFM) is used to experimentally enhance the mixture properties via parameters’ control to meet the output quality and predict the control equation for the Riga plate. IFM controls the amount of pushed nanoparticles in the mixture with a ratio of plastic to aluminum approximate by 96.1%: 3.9%. The defects were reduced by approximately 23.21%, with an increasing system performance of 70.98%.

Suggested Citation

  • Ahmed M. Abed & Ali AlArjani & Laila F. Seddek & Samia ElAttar, 2023. "Modify the Injection Machine Mechanism to Enhance the Recycling of Plastic Waste Mixed with MHD Nanoparticles," Sustainability, MDPI, vol. 15(3), pages 1-36, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2641-:d:1054422
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    References listed on IDEAS

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