Experimental and RSM-Based Process-Parameters Optimisation for Turning Operation of EN36B Steel Article Swipe
Ramesh Kumar
,
Ashwani Kumar
,
Laxmi Kant
,
Arbind Prasad
,
Sandeep Bhoi
,
Chandan Swaroop Meena
,
Varun Pratap Singh
,
Aritra Ghosh
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ma16010339
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ma16010339
The main objective of this article is to perform the turning operation on an EN36B steel work-billet with a tungsten carbide tool, to study the optimal cutting parameters and carry out an analysis of flank-wear. Experimental and simulation-based research methodology was opted in this study. Experimental results were obtained from the lab setup, and optimisation of parameters was performed using RSM (response surface methodology). Using RSM, cutting-tool flank-wear was optimised, and the cutting parameters which affect the flank wear were determined. In results main effect plot, contour plot, the surface plot for flank-wear and forces (Fx, Fy and Fz) were successfully obtained. It was concluded that tool flank-wear is affected by depth of cut, and that flank-wear generally increases linearly with increasing cutting-speed, depth of cut and feed-rate. To validate the obtained results, predicated and measured values were plotted and were in very close agreement, having an accuracy level of 96.33% to 98.92%.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ma16010339
- https://www.mdpi.com/1996-1944/16/1/339/pdf?version=1672826148
- OA Status
- gold
- Cited By
- 18
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313362189
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313362189Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ma16010339Digital Object Identifier
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Experimental and RSM-Based Process-Parameters Optimisation for Turning Operation of EN36B SteelWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-29Full publication date if available
- Authors
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Ramesh Kumar, Ashwani Kumar, Laxmi Kant, Arbind Prasad, Sandeep Bhoi, Chandan Swaroop Meena, Varun Pratap Singh, Aritra GhoshList of authors in order
- Landing page
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https://doi.org/10.3390/ma16010339Publisher landing page
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https://www.mdpi.com/1996-1944/16/1/339/pdf?version=1672826148Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1944/16/1/339/pdf?version=1672826148Direct OA link when available
- Concepts
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Flank, Tungsten carbide, Response surface methodology, Materials science, Tool wear, High-speed steel, Metallurgy, Mechanical engineering, Computer science, Engineering, Machining, Machine learning, Anthropology, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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18Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 4, 2023: 7, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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