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Optimisation of cutting parameters for minimizing carbon emission and maximising cutting quality in turning process

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  • Yusuf Tansel Ic
  • Ebru Saraloğlu Güler
  • Ceren Cabbaroğlu
  • Ezgi Dilan Yüksel
  • Huri Maide Sağlam

Abstract

Modern manufacturing systems are faced with the challenge of reducing the carbon emission related to manufacturing technologies. Machining centres consume large amounts of energy and as a consequence; carbon emissions are generated owing to this consumption. This paper presents a design of experiment work related to the optimisation of machining factors in the turning process of aluminium alloys. Carbon emission and surface quality were concurrently optimised. A set of experimental scenarios was set using a Box–Behnken design and the response surface methodology was applied to get the regression model for the carbon emission and surface roughness during turning process. The relationship between factors and the responses (carbon emission and surface quality) was investigated using surface plots. Furthermore, the desirability function method using the Response Optimizer tool in MINITAB and goal programming methodology was used to obtain the values of the parameters that achieved minimum surface roughness and a minimum quantity of carbon emission.

Suggested Citation

  • Yusuf Tansel Ic & Ebru Saraloğlu Güler & Ceren Cabbaroğlu & Ezgi Dilan Yüksel & Huri Maide Sağlam, 2018. "Optimisation of cutting parameters for minimizing carbon emission and maximising cutting quality in turning process," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 4035-4055, June.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:11:p:4035-4055
    DOI: 10.1080/00207543.2018.1442949
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    Cited by:

    1. 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).
    2. Md. Rezaul Karim & Juairiya Binte Tariq & Shah Murtoza Morshed & Sabbir Hossain Shawon & Abir Hasan & Chander Prakash & Sunpreet Singh & Raman Kumar & Yadaiah Nirsanametla & Catalin I. Pruncu, 2021. "Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool," Sustainability, MDPI, vol. 13(13), pages 1-22, June.

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