IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i20p8462-d427887.html
   My bibliography  Save this article

Environmental Analysis of Sustainable and Traditional Cooling and Lubrication Strategies during Machining Processes

Author

Listed:
  • Amr Salem

    (Machining Research Laboratory, Ontario Tech University, Oshawa, ON L1G 0C5, Canada)

  • Connor Hopkins

    (Machining Research Laboratory, Ontario Tech University, Oshawa, ON L1G 0C5, Canada)

  • Mohamd Imad

    (Machining Research Laboratory, Ontario Tech University, Oshawa, ON L1G 0C5, Canada)

  • Hussien Hegab

    (Machining Research Laboratory, Ontario Tech University, Oshawa, ON L1G 0C5, Canada)

  • Basil Darras

    (Department of Mechanical Engineering, American University of Sharjah, Sharjah 26666, UAE)

  • Hossam A. Kishawy

    (Machining Research Laboratory, Ontario Tech University, Oshawa, ON L1G 0C5, Canada)

Abstract

Due to rising demands of replacing traditional cooling strategies with sustainable cooling strategies, the development of sustainable strategies such as minimum quantity lubrication (MQL) of nano-cutting fluids (NCFs) is on the rise. MQL of NCFs has received a lot of attention due to its positive impact on machining process efficiency. However, environmental and human health impacts of this strategy have not been fully investigated yet. This work aims to investigate the impacts of MQL of molybdenum disulfide (MoS 2 ), multi-walled carbon nanotubes (MWCNTs), titanium dioxide (TiO 2 ), and aluminum oxide (Al 2 O 3 ) NCFs by employing a cradle-to-gate type of life cycle assessment (LCA). Besides, this paper provides a comparison of the impacts and machining performance when utilizing MQL of NCFs with other cooling strategies such as traditional flood cooling (TFC) of conventional cutting fluids and MQL of vegetable oils. It was found that NCFs have higher impacts than conventional cutting fluids and vegetable oils. The impacts of TiO 2 -NCF and MoS 2 -NCF were lower than the impacts of MWCNTs-NCF and Al 2 O 3 -NCF. MQL of NCFs presented higher impacts by 3.7% to 35.4% in comparison with the MQL of vegetable oils. TFC of conventional CFs displayed the lowest impact. However, TFC of conventional cutting fluids is contributing to severe health problems for operators. MQL of vegetable oils displayed higher impacts than TCFs of conventional cutting fluids. However, vegetable oils are considered to be environmentally friendly. According to the findings, the MQL of vegetable oils is the most sustainable strategy for machining processes with associated low/medium cutting temperatures. While MQL of TiO 2 and MoS 2 NCFs are the sustainable strategy for machining processes associated with high cutting temperatures.

Suggested Citation

  • Amr Salem & Connor Hopkins & Mohamd Imad & Hussien Hegab & Basil Darras & Hossam A. Kishawy, 2020. "Environmental Analysis of Sustainable and Traditional Cooling and Lubrication Strategies during Machining Processes," Sustainability, MDPI, vol. 12(20), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8462-:d:427887
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/20/8462/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/20/8462/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hossam A. Kishawy & Hussien Hegab & Elsadig Saad, 2018. "Design for Sustainable Manufacturing: Approach, Implementation, and Assessment," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Mohamed Abubakr & Adel T. Abbas & Italo Tomaz & Mahmoud S. Soliman & Monis Luqman & Hussien Hegab, 2020. "Sustainable and Smart Manufacturing: An Integrated Approach," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    3. Geoffrey F. Grubb & Bhavik R. Bakshi, 2011. "Life Cycle of Titanium Dioxide Nanoparticle Production," Journal of Industrial Ecology, Yale University, vol. 15(1), pages 81-95, February.
    4. Najiha, M.S. & Rahman, M.M. & Yusoff, A.R., 2016. "Environmental impacts and hazards associated with metal working fluids and recent advances in the sustainable systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1008-1031.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gaurav Gaurav & Govind Sharan Dangayach & Makkhan Lal Meena & Vijay Chaudhary & Sumit Gupta & Sandeep Jagtap, 2023. "The Environmental Impacts of Bar Soap Production: Uncovering Sustainability Risks with LCA Analysis," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    2. Hussien Hegab & Amr Salem & Hussein A. Taha, 2022. "A Decision-Making Approach for Sustainable Machining Processes Using Data Clustering and Multi-Objective Optimization," Sustainability, MDPI, vol. 14(24), pages 1-12, December.

    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. Paraskevi Ovezikoglou & Dimitrios Aidonis & Charisios Achillas & Christos Vlachokostas & Dionysis Bochtis, 2020. "Sustainability Assessment of Investments Based on a Multiple Criteria Methodological Framework," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    2. Gaurav Gaurav & Govind Sharan Dangayach & Makkhan Lal Meena & Vijay Chaudhary & Sumit Gupta & Sandeep Jagtap, 2023. "The Environmental Impacts of Bar Soap Production: Uncovering Sustainability Risks with LCA Analysis," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    3. Jae Hong Park & Phil Goo Kang & Eunseok Kim & Tae Woo Kim & Gahee Kim & Heejeong Seok & Jinwon Seo, 2021. "Introduction of IoT-Based Surrogate Parameters in the Ex-Post Countermeasure of Industrial Sectors in Integrated Permit Policy," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    4. Walter Chipambwa & Richie Moalosi & Yaone Rapitsenyane & Olefile Bethuel Molwane, 2023. "Sustainable Design Orientation in Furniture-Manufacturing SMEs in Zimbabwe," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    5. K. Koppiahraj & S. Bathrinath & V. G. Venkatesh & Venkatesh Mani & Yangyan Shi, 2023. "Optimal sustainability assessment method selection: a practitioner perspective," Annals of Operations Research, Springer, vol. 324(1), pages 629-662, May.
    6. Damjan Maletič & Matjaž Maletič & Basim Al-Najjar & Boštjan Gomišček, 2018. "Development of a Model Linking Physical Asset Management to Sustainability Performance: An Empirical Research," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    7. Girish Kumar & Ajith Tom James & Gourav Kumar & Romesh Rajput & Sunny Choudhary, 2024. "Evaluation of sustainability indicators of machine tools: a hybrid Fuzzy DEMATEL approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18593-18624, July.
    8. Gerulová Kristína & Buranská Eva & Soldán Maroš, 2017. "Human Health Concenrs of Metalworking Fluid Components: Part I – Base oils," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 25(40), pages 25-32, June.
    9. Giuditta Contini & Margherita Peruzzini, 2022. "Sustainability and Industry 4.0: Definition of a Set of Key Performance Indicators for Manufacturing Companies," Sustainability, MDPI, vol. 14(17), pages 1-37, September.
    10. Nathalia Aquino de Carvalho & Leanne M. Gilbertson, 2023. "Comparative life cycle assessment of graphitic carbon nitride synthesis routes," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 1008-1020, June.
    11. Jie Xue & Zhenyan Li & Xian Wang & Yanli Ji, 2022. "Dynamic Evaluation and Spatial Characteristics of Smart Manufacturing Capability in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    12. Chiuhsiang Joe Lin & Tariku Tamiru Belis & Tsai Chi Kuo, 2019. "Ergonomics-Based Factors or Criteria for the Evaluation of Sustainable Product Manufacturing," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    13. Mohd Helmi Ali & Suhaiza Zailani & Mohammad Iranmanesh & Behzad Foroughi, 2019. "Impacts of Environmental Factors on Waste, Energy, and Resource Management and Sustainable Performance," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    14. Shuiye Niu & Honglong Zhuo & Kelei Xue, 2019. "DfRem-Driven Closed-Loop Supply Chain Decision-Making: A Systematic Framework for Modeling Research," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    15. Mohamed Abubakr & Adel T. Abbas & Italo Tomaz & Mahmoud S. Soliman & Monis Luqman & Hussien Hegab, 2020. "Sustainable and Smart Manufacturing: An Integrated Approach," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    16. Shamraiz Ahmad & Kuan Yew Wong & Babar Zaman, 2019. "A Comprehensive and Integrated Stochastic-Fuzzy Method for Sustainability Assessment in the Malaysian Food Manufacturing Industry," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
    17. Dotun Adebanjo & Pei-Lee Teh & Pervaiz K Ahmed & Erhan Atay & Peter Ractham, 2020. "Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
    18. Chiuhsiang Joe Lin & Tariku Tamiru Belis & Dino Caesaron & Bernard C. Jiang & Tsai Chi Kuo, 2020. "Development of Sustainability Indicators for Employee-Activity Based Production Process Using Fuzzy Delphi Method," Sustainability, MDPI, vol. 12(16), pages 1-31, August.
    19. Pimenov, Danil Yu & Mia, Mozammel & Gupta, Munish K. & Machado, Álisson R. & Pintaude, Giuseppe & Unune, Deepak Rajendra & Khanna, Navneet & Khan, Aqib Mashood & Tomaz, Ítalo & Wojciechowski, Szymon &, 2022. "Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    20. Jun-Der Leu & Wen-Hsien Tsai & Mei-Niang Fan & Sophia Chuang, 2020. "Benchmarking Sustainable Manufacturing: A DEA-Based Method and Application," Energies, MDPI, vol. 13(22), pages 1-21, November.

    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:12:y:2020:i:20:p:8462-:d:427887. 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.