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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11711
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dc.contributor.authorSangwan, Kuldip Singh-
dc.date.accessioned2023-08-28T09:19:39Z-
dc.date.available2023-08-28T09:19:39Z-
dc.date.issued2018-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2212827117308363-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11711-
dc.description.abstractManufacturing activities consume large amount energy and thus the carbon emissions are also high. Recent environmental policies in many countries have laid an additional financial burden on the manufacturers for high carbon emissions. Optimization of cutting parameters has a direct impact on the efficiency of the machining process and carbon emissions. This paper presents a systematic methodology to quantify the carbon emissions of CNC machine tools. A multi-objective mathematical optimization model is presented for optimizing carbon emissions and processing time during a turning process. The proposed model is validated by using experimental studies. This model can be useful for manufacturing organizations to select optimum cutting parameters for reduction of the carbon emissions and improvement of machining efficiency.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectMechanical Engineeringen_US
dc.subjectCarbon emissionsen_US
dc.subjectOptimizationen_US
dc.subjectCutting parametersen_US
dc.subjectMachiningen_US
dc.titleDevelopment of a Multi-criteria Optimization Model for Minimizing Carbon Emissions and Processing Time During Machiningen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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