Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach
The machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 har...
| Published in: | Journal of Mechanical Engineering and Sciences |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Pahang Publishing
2020-03-01
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| Subjects: | |
| Online Access: | https://journal.ump.edu.my/jmes/article/view/834 |
| _version_ | 1852652049956601856 |
|---|---|
| author | Nitin Ambhore Dinesh Kamble Satish Chinchanikar |
| author_facet | Nitin Ambhore Dinesh Kamble Satish Chinchanikar |
| author_sort | Nitin Ambhore |
| collection | DOAJ |
| container_title | Journal of Mechanical Engineering and Sciences |
| description | The machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 hard steel. Central Composite Rotatable Design (CCRD) is employed to develop experimental plan. The results reported that vibration signals sensed in a tangential direction (Vz) are most sensitive and found higher than the vibrations in the feed direction (Vx) and depth of cut direction (Vy). The acceleration signals in all three directions are observed to increase with the advancement of tool wear and good surface finish is observed as tool wear progresses up-to 0.136mm. The vibration amplitude is discovered high in the range 3 kHz – 10 kHz within selected cutting parameter range (cutting speed 60-180mm/min, feed 0.1-0.5mm/rev, depth of cut 0.1-0.5mm). The investigation is extended for the development of multiple regression models with regression coefficients value 0.9. These models found statically significant and give dependable estimates between a tool vibrations and cutting parameters. |
| format | Article |
| id | doaj-art-c81ae0459cd649d194eadaec8fce352f |
| institution | Directory of Open Access Journals |
| issn | 2289-4659 2231-8380 |
| language | English |
| publishDate | 2020-03-01 |
| publisher | Universiti Malaysia Pahang Publishing |
| record_format | Article |
| spelling | doaj-art-c81ae0459cd649d194eadaec8fce352f2025-08-19T21:40:44ZengUniversiti Malaysia Pahang PublishingJournal of Mechanical Engineering and Sciences2289-46592231-83802020-03-011416461647210.15282/jmes.14.1.2020.21.0506Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approachNitin Ambhore0Dinesh Kamble1Satish Chinchanikar2Sinhgad College of Engineering, SP Pune University, Pune 41041, M.S., IndiaDepartment of Mechanical Engineering, Vishwakarma Institute of Information Technology, SP Pune University, Pune, 411048, M.S., IndiaDepartment of Mechanical Engineering, Vishwakarma Institute of Information Technology, SP Pune University, Pune, 411048, M.S., IndiaThe machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 hard steel. Central Composite Rotatable Design (CCRD) is employed to develop experimental plan. The results reported that vibration signals sensed in a tangential direction (Vz) are most sensitive and found higher than the vibrations in the feed direction (Vx) and depth of cut direction (Vy). The acceleration signals in all three directions are observed to increase with the advancement of tool wear and good surface finish is observed as tool wear progresses up-to 0.136mm. The vibration amplitude is discovered high in the range 3 kHz – 10 kHz within selected cutting parameter range (cutting speed 60-180mm/min, feed 0.1-0.5mm/rev, depth of cut 0.1-0.5mm). The investigation is extended for the development of multiple regression models with regression coefficients value 0.9. These models found statically significant and give dependable estimates between a tool vibrations and cutting parameters.https://journal.ump.edu.my/jmes/article/view/834hard turningcoated carbidesurface roughnesstool wearvibrationanova |
| spellingShingle | Nitin Ambhore Dinesh Kamble Satish Chinchanikar Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach hard turning coated carbide surface roughness tool wear vibration anova |
| title | Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach |
| title_full | Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach |
| title_fullStr | Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach |
| title_full_unstemmed | Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach |
| title_short | Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach |
| title_sort | analysis of tool vibration and surface roughness with tool wear progression in hard turning an experimental and statistical approach |
| topic | hard turning coated carbide surface roughness tool wear vibration anova |
| url | https://journal.ump.edu.my/jmes/article/view/834 |
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