Effect of alloy composition on machining parameters and surface quality through comprehensive analysis
This study examined the influence of alloy composition (mild steel and aluminium) on several machining parameters, such as temperature, cutting force, surface roughness, and chip morphology. Significant variations in these parameters were detected by modifying the alloys while maintaining constant p...
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| Language: | English |
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Togliatti State University
2024-12-01
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| Series: | Frontier Materials & Technologies |
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| Online Access: | https://vektornaukitech.ru/jour/article/view/996/926 |
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| author | Shailesh Rao A. Srilatha Rao |
| author_facet | Shailesh Rao A. Srilatha Rao |
| author_sort | Shailesh Rao A. |
| collection | DOAJ |
| description | This study examined the influence of alloy composition (mild steel and aluminium) on several machining parameters, such as temperature, cutting force, surface roughness, and chip morphology. Significant variations in these parameters were detected by modifying the alloys while maintaining constant process conditions. In mild steel, rotating speed affected chip morphology, with elevated speeds resulting in continuous chips and reduced rates yielding shorter chips. The augmented rake angle affects the chip properties, resulting in a little decrease in chip length. Moreover, the cutting force influenced the chip length at a designated rotational speed. Conversely, aluminium alloys continuously generated continuous chip fragments irrespective of cutting speed or rake angle. Favourable correlation coefficients are noted among the variables, and a regression model is effectively developed and utilised on the experimental data. The random forest model, indicates that material selection significantly influences temperature, cutting force, surface roughness, and chip morphology during machining. This study offers significant insights into the correlation between tool rake angle and other machining parameters, elucidating the elements that influence surface quality. The results enhance comprehension of machined surface attributes, facilitating the optimisation of machining operations for various materials. |
| format | Article |
| id | doaj-art-27529001b75f4f36812d67eb94eb180a |
| institution | Kabale University |
| issn | 2782-4039 2782-6074 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Togliatti State University |
| record_format | Article |
| series | Frontier Materials & Technologies |
| spelling | doaj-art-27529001b75f4f36812d67eb94eb180a2025-01-15T11:11:14ZengTogliatti State UniversityFrontier Materials & Technologies2782-40392782-60742024-12-01-49711010.18323/2782-4039-2024-4-70-9Effect of alloy composition on machining parameters and surface quality through comprehensive analysisShailesh Rao A.0https://orcid.org/0000-0001-6190-9857Srilatha Rao1https://orcid.org/0000-0003-3691-8713Nitte Meenakshi Institute of Technology, Bangalore (India)Nitte Meenakshi Institute of Technology, Bangalore (India)This study examined the influence of alloy composition (mild steel and aluminium) on several machining parameters, such as temperature, cutting force, surface roughness, and chip morphology. Significant variations in these parameters were detected by modifying the alloys while maintaining constant process conditions. In mild steel, rotating speed affected chip morphology, with elevated speeds resulting in continuous chips and reduced rates yielding shorter chips. The augmented rake angle affects the chip properties, resulting in a little decrease in chip length. Moreover, the cutting force influenced the chip length at a designated rotational speed. Conversely, aluminium alloys continuously generated continuous chip fragments irrespective of cutting speed or rake angle. Favourable correlation coefficients are noted among the variables, and a regression model is effectively developed and utilised on the experimental data. The random forest model, indicates that material selection significantly influences temperature, cutting force, surface roughness, and chip morphology during machining. This study offers significant insights into the correlation between tool rake angle and other machining parameters, elucidating the elements that influence surface quality. The results enhance comprehension of machined surface attributes, facilitating the optimisation of machining operations for various materials.https://vektornaukitech.ru/jour/article/view/996/926turning processrake anglechip morphologypredictive modelling |
| spellingShingle | Shailesh Rao A. Srilatha Rao Effect of alloy composition on machining parameters and surface quality through comprehensive analysis Frontier Materials & Technologies turning process rake angle chip morphology predictive modelling |
| title | Effect of alloy composition on machining parameters and surface quality through comprehensive analysis |
| title_full | Effect of alloy composition on machining parameters and surface quality through comprehensive analysis |
| title_fullStr | Effect of alloy composition on machining parameters and surface quality through comprehensive analysis |
| title_full_unstemmed | Effect of alloy composition on machining parameters and surface quality through comprehensive analysis |
| title_short | Effect of alloy composition on machining parameters and surface quality through comprehensive analysis |
| title_sort | effect of alloy composition on machining parameters and surface quality through comprehensive analysis |
| topic | turning process rake angle chip morphology predictive modelling |
| url | https://vektornaukitech.ru/jour/article/view/996/926 |
| work_keys_str_mv | AT shaileshraoa effectofalloycompositiononmachiningparametersandsurfacequalitythroughcomprehensiveanalysis AT srilatharao effectofalloycompositiononmachiningparametersandsurfacequalitythroughcomprehensiveanalysis |