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...

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Published in:Journal of Mechanical Engineering and Sciences
Main Authors: Nitin Ambhore, Dinesh Kamble, Satish Chinchanikar
Format: Article
Language:English
Published: Universiti Malaysia Pahang Publishing 2020-03-01
Subjects:
Online Access:https://journal.ump.edu.my/jmes/article/view/834
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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.
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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
work_keys_str_mv AT nitinambhore analysisoftoolvibrationandsurfaceroughnesswithtoolwearprogressioninhardturninganexperimentalandstatisticalapproach
AT dineshkamble analysisoftoolvibrationandsurfaceroughnesswithtoolwearprogressioninhardturninganexperimentalandstatisticalapproach
AT satishchinchanikar analysisoftoolvibrationandsurfaceroughnesswithtoolwearprogressioninhardturninganexperimentalandstatisticalapproach