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Analysis of Carbon Footprints and Surface Quality in Green Cutting Environments for the Milling of AZ31 Magnesium Alloy

Author

Listed:
  • Mohammad Kanan

    (Jeddah College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia)

  • Sadaf Zahoor

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Muhammad Salman Habib

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Sana Ehsan

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Mudassar Rehman

    (Department of Industry Engineering, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China)

  • Muhammad Shahzaib

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Sajawal Ali Khan

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Hassan Ali

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Zaher Abusaq

    (Jeddah College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia)

  • Allam Hamdan

    (Department of Accounting and Economics, College of Business and Finance, Ahlia University, Manama P.O. Box 10878, Bahrain)

Abstract

This investigation delves into the effectiveness of employing vegetable-based cutting fluids and nanoparticles in milling AZ31 magnesium alloy, as part of the pursuit of ecologically sustainable manufacturing practices. The study scrutinizes three different cutting environments: (i) dry cutting; (ii) minimum quantity lubrication (MQL) with rice bran oil as the base oil and turmeric oil as an additive; and (iii) MQL with rice bran oil as the base oil, and turmeric oil and kaolinite nanoparticles as additives. Fuzzy logic was implemented to develop the design of experiments and assess the impact of these cutting environments on carbon emissions, surface quality, and microhardness. Upon conducting an analysis of variance (ANOVA), it was determined that all the three input parameters (cutting environment, cutting speed, and feed) greatly affect carbon emissions. The third cutting environment (MQL + bio-oils + kaolinite) generated the lowest carbon emissions (average of 9.21 ppm) and surface roughness value (0.3 um). Confirmatory tests validated that the output parameters predicted using the multiobjective genetic algorithm aligned well with experimental values, thus affirming the algorithm’s robustness.

Suggested Citation

  • Mohammad Kanan & Sadaf Zahoor & Muhammad Salman Habib & Sana Ehsan & Mudassar Rehman & Muhammad Shahzaib & Sajawal Ali Khan & Hassan Ali & Zaher Abusaq & Allam Hamdan, 2023. "Analysis of Carbon Footprints and Surface Quality in Green Cutting Environments for the Milling of AZ31 Magnesium Alloy," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6301-:d:1117418
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    References listed on IDEAS

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    1. Yongmao Xiao & Renqing Zhao & Wei Yan & Xiaoyong Zhu, 2022. "Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    2. Zhao, G.Y. & Liu, Z.Y. & He, Y. & Cao, H.J. & Guo, Y.B., 2017. "Energy consumption in machining: Classification, prediction, and reduction strategy," Energy, Elsevier, vol. 133(C), pages 142-157.
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