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2022 | OriginalPaper | Chapter

Multi-objective Optimization of Cutting Parameters in Turning Process for Minimization of Carbon Emission and Processing Time

Authors : Gunjan Agarwal, M. K. Khare, Ankit Kumar Singhal, Ravi Prakash

Published in: Advancement in Materials, Manufacturing and Energy Engineering, Vol. I

Publisher: Springer Singapore

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Abstract

In the world, India stands 12th in production and 7th in consumption of machine tools. Machining is one of the energy and material intensive processes. To reduce the emission of CO2 and other bad effects to environment energy and material consumption in machining should be reduced. This is one of the measures of sustainable machining. In this paper, energy consumption, material consumption and dispose of wastes have been studied under various cutting conditions in dry and wet run. Optimization is done to minimize carbon emission along with processing time. This will lead to conservation of resources, reduction of CO2 emission and sustainable machining. Design of experiments technique using response surface methodology has been used to conduct the experiments.

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Literature
2.
go back to reference Agarwal G (2018) Optimization of process parameters for the minimization of wastes in a machining system. PhD Thesis Agarwal G (2018) Optimization of process parameters for the minimization of wastes in a machining system. PhD Thesis
4.
go back to reference Allen D, Bauer D, Brass B, Gutowski T, Murphy C, Piwonka T (2002) Environmentally benign manufacturing: trends in Europe, Japan, and the USA. J Manuf Sci Eng 124:908–920CrossRef Allen D, Bauer D, Brass B, Gutowski T, Murphy C, Piwonka T (2002) Environmentally benign manufacturing: trends in Europe, Japan, and the USA. J Manuf Sci Eng 124:908–920CrossRef
5.
go back to reference Gutowski T (2007) The carbon and energy intensity of manufacturing. In: 50th Seminar CIRP, Keynote Address, Liverpool, pp 1–6 Gutowski T (2007) The carbon and energy intensity of manufacturing. In: 50th Seminar CIRP, Keynote Address, Liverpool, pp 1–6
6.
go back to reference Anderberg SE, Kara S, Beno T (2009) Impact of energy efficiency on computer numerically controlled machining. Proc I Mech E Part B: J Eng Manuf 22:531–541 Anderberg SE, Kara S, Beno T (2009) Impact of energy efficiency on computer numerically controlled machining. Proc I Mech E Part B: J Eng Manuf 22:531–541
7.
go back to reference Mativenga PT, Rajemi MF (2011) Calculation of optimum cutting parameters based on minimum energy footprint. CIRP Ann Manuf Technol 60(1):149–152CrossRef Mativenga PT, Rajemi MF (2011) Calculation of optimum cutting parameters based on minimum energy footprint. CIRP Ann Manuf Technol 60(1):149–152CrossRef
8.
go back to reference Li C, Tang Y, Cui L, Yi Q (2013) Quantitative analysis of carbon emissions of CNC-based machining systems. In: 10th IEEE international conference on networking, sensing and control, ICNSC 2013, pp 869–874 Li C, Tang Y, Cui L, Yi Q (2013) Quantitative analysis of carbon emissions of CNC-based machining systems. In: 10th IEEE international conference on networking, sensing and control, ICNSC 2013, pp 869–874
9.
go back to reference Kant G, Sangwan KS (2014) Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining. J Clean Prod Kant G, Sangwan KS (2014) Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining. J Clean Prod
10.
go back to reference Dambhare S, Deshmukh S, Borade A, Digalwar A, Phatee M (2015) Sustainability issues in turning process: a study in indian machining industry. Procedia CIRP 26:379–384 Dambhare S, Deshmukh S, Borade A, Digalwar A, Phatee M (2015) Sustainability issues in turning process: a study in indian machining industry. Procedia CIRP 26:379–384
11.
go back to reference Liu Z, Sun D, Lin C, Zhao X, Yang Y (2016) Multi-objective optimization of the operating conditions in a cutting process based on low carbon emission costs. J Clean Prod 124:266–275CrossRef Liu Z, Sun D, Lin C, Zhao X, Yang Y (2016) Multi-objective optimization of the operating conditions in a cutting process based on low carbon emission costs. J Clean Prod 124:266–275CrossRef
12.
go back to reference Zhang H, Deng Z, Fu Y, Lv L, Yan C (2017) A process parameters optimization method of multi-pass dry milling for high efficiency, low energy and low carbon emissions. J Clean Prod 148:174–184CrossRef Zhang H, Deng Z, Fu Y, Lv L, Yan C (2017) A process parameters optimization method of multi-pass dry milling for high efficiency, low energy and low carbon emissions. J Clean Prod 148:174–184CrossRef
13.
go back to reference Sihag N, Sangwan KS (2018) Development of a multi-criteria optimization model for minimizing carbon emission and processing time during machining. Procedia CIRP 69:300–305 Sihag N, Sangwan KS (2018) Development of a multi-criteria optimization model for minimizing carbon emission and processing time during machining. Procedia CIRP 69:300–305
15.
go back to reference Sihag N, Sangwan KS (2019) Multiobjective optimization for energy efficient machining with high productivity and quality for a turning processes. Procedia CIRP 80:67–72 Sihag N, Sangwan KS (2019) Multiobjective optimization for energy efficient machining with high productivity and quality for a turning processes. Procedia CIRP 80:67–72
16.
go back to reference Pawanr S, Garg GK, Routroy S (2019) Multiobjective optimization of machining parameters to minimize surface roughness and power consumption using TOPSIS. Procedia CIRP 86:116–120 Pawanr S, Garg GK, Routroy S (2019) Multiobjective optimization of machining parameters to minimize surface roughness and power consumption using TOPSIS. Procedia CIRP 86:116–120
17.
go back to reference Agarwal G, Khare MK. Multiobjective optimisation of cutting parameters in machining-a sustainable approach. Mater Today: Proc (in press) Agarwal G, Khare MK. Multiobjective optimisation of cutting parameters in machining-a sustainable approach. Mater Today: Proc (in press)
Metadata
Title
Multi-objective Optimization of Cutting Parameters in Turning Process for Minimization of Carbon Emission and Processing Time
Authors
Gunjan Agarwal
M. K. Khare
Ankit Kumar Singhal
Ravi Prakash
Copyright Year
2022
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-5371-1_10

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