Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel
In this study, a comparison of measured cutting parameters is discussed while machining AISI 52100 low-alloy hardened steel under two different sustainable cutting environments, those in which a dry and minimum quantity lubrication (MQL) medium are used. A two-level full factorial design method has...
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MDPI AG
2023-06-01
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| Online Access: | https://www.mdpi.com/1996-1944/16/12/4408 |
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| author | Havva Demirpolat Rüstem Binali Abhishek D. Patange Sujit S. Pardeshi Sakthivel Gnanasekaran |
| author_facet | Havva Demirpolat Rüstem Binali Abhishek D. Patange Sujit S. Pardeshi Sakthivel Gnanasekaran |
| author_sort | Havva Demirpolat |
| collection | DOAJ |
| description | In this study, a comparison of measured cutting parameters is discussed while machining AISI 52100 low-alloy hardened steel under two different sustainable cutting environments, those in which a dry and minimum quantity lubrication (MQL) medium are used. A two-level full factorial design method has been utilized to specify the effect of different experimental inputs on the turning trials. Experiments were carried out to investigate the effects of three basic defining parameters of turning operation which are namely cutting speed, cutting depth, feed rate effects and also the effects of the cutting environment. The trials were repeated for the combination of different cutting input parameters. The scanning electron microscopy imaging method was used to characterize the tool wear phenomenon. The macro-morphology of chips was analyzed to define the influence of cutting conditions. The optimum cutting condition for high-strength AISI 52100 bearing steel was obtained using the MQL medium. The results were evaluated with graphical representations and they indicated the superiority of the pulverized oil particles on tribological performance of the cutting process with application of the MQL system. |
| first_indexed | 2024-03-11T02:12:03Z |
| format | Article |
| id | doaj.art-0c3e904497074709854fe5bb04e675d0 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-11T02:12:03Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
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| series | Materials |
| spelling | doaj.art-0c3e904497074709854fe5bb04e675d02023-11-18T11:25:50ZengMDPI AGMaterials1996-19442023-06-011612440810.3390/ma16124408Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing SteelHavva Demirpolat0Rüstem Binali1Abhishek D. Patange2Sujit S. Pardeshi3Sakthivel Gnanasekaran4Department of Mechanical Engineering, Faculty of Technology, Selcuk University, Konya 42130, TurkeyDepartment of Mechanical Engineering, Faculty of Technology, Selcuk University, Konya 42130, TurkeyDepartment of Mechanical Engineering, COEP Technological University Pune, Pune 411005, Maharashtra, IndiaDepartment of Mechanical Engineering, COEP Technological University Pune, Pune 411005, Maharashtra, IndiaCentre of Automation, School of Mechanical Engineering, Vellore Institute of Technology, VIT, Chennai 600127, Tamil Nadu, IndiaIn this study, a comparison of measured cutting parameters is discussed while machining AISI 52100 low-alloy hardened steel under two different sustainable cutting environments, those in which a dry and minimum quantity lubrication (MQL) medium are used. A two-level full factorial design method has been utilized to specify the effect of different experimental inputs on the turning trials. Experiments were carried out to investigate the effects of three basic defining parameters of turning operation which are namely cutting speed, cutting depth, feed rate effects and also the effects of the cutting environment. The trials were repeated for the combination of different cutting input parameters. The scanning electron microscopy imaging method was used to characterize the tool wear phenomenon. The macro-morphology of chips was analyzed to define the influence of cutting conditions. The optimum cutting condition for high-strength AISI 52100 bearing steel was obtained using the MQL medium. The results were evaluated with graphical representations and they indicated the superiority of the pulverized oil particles on tribological performance of the cutting process with application of the MQL system.https://www.mdpi.com/1996-1944/16/12/4408AISI 52100turningMQLdry machining |
| spellingShingle | Havva Demirpolat Rüstem Binali Abhishek D. Patange Sujit S. Pardeshi Sakthivel Gnanasekaran Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel Materials AISI 52100 turning MQL dry machining |
| title | Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel |
| title_full | Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel |
| title_fullStr | Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel |
| title_full_unstemmed | Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel |
| title_short | Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel |
| title_sort | comparison of tool wear surface roughness cutting forces tool tip temperature and chip shape during sustainable turning of bearing steel |
| topic | AISI 52100 turning MQL dry machining |
| url | https://www.mdpi.com/1996-1944/16/12/4408 |
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