dc.contributor.author | Sangwan, Kuldip Singh | |
dc.date.accessioned | 2023-08-28T09:19:39Z | |
dc.date.available | 2023-08-28T09:19:39Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S2212827117308363 | |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11711 | |
dc.description.abstract | Manufacturing 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.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Mechanical Engineering | en_US |
dc.subject | Carbon emissions | en_US |
dc.subject | Optimization | en_US |
dc.subject | Cutting parameters | en_US |
dc.subject | Machining | en_US |
dc.title | Development of a Multi-criteria Optimization Model for Minimizing Carbon Emissions and Processing Time During Machining | en_US |
dc.type | Article | en_US |
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |