Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method
Optimization of surface roughness has been one of the primary objectives in most of the machining operations. Poor control on the desired surface roughness generates non conforming parts and results into increase in cost and loss of productivity due to rework or scrap. Surface roughness value is a...
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Mehran University of Engineering and Technology
2012-01-01
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doaj-7bee20b8f08a4f41affc001acd07826f2020-11-25T00:53:14ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192012-01-013115158202Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi MethodMuhammad MunawarNadeem A. MuftiHassan IqbalOptimization of surface roughness has been one of the primary objectives in most of the machining operations. Poor control on the desired surface roughness generates non conforming parts and results into increase in cost and loss of productivity due to rework or scrap. Surface roughness value is a result of several process variables among which machine tool condition is one of the significant variables. In this study, experimentation was carried out to investigate the effect of machine tool condition on surface roughness. Variable used to represent machine tool\'s condition was vibration amplitude. Input parameters used, besides vibration amplitude, were feed rate and insert nose radius. Cutting speed and depth of cut were kept constant. Based on Taguchi orthogonal array, a series of experimentation was designed and performed on AISI 1040 carbon steel bar at default and induced machine tool\'s vibration amplitudes. ANOVA (Analysis of Variance), revealed that vibration amplitude and feed rate had moderate effect on the surface roughness and insert nose radius had the highest significant effect on the surface roughness. It was also found that a machine tool with low vibration amplitude produced better surface roughness. Insert with larger nose radius produced better surface roughness at low feed rate.http://publications.muet.edu.pk/research_papers/pdf/pdf202.pdfTaguchi MethodSurface RoughnessVibration AmplitudeANOVAOptimization. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Munawar Nadeem A. Mufti Hassan Iqbal |
spellingShingle |
Muhammad Munawar Nadeem A. Mufti Hassan Iqbal Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method Mehran University Research Journal of Engineering and Technology Taguchi Method Surface Roughness Vibration Amplitude ANOVA Optimization. |
author_facet |
Muhammad Munawar Nadeem A. Mufti Hassan Iqbal |
author_sort |
Muhammad Munawar |
title |
Optimization of Surface Finish in Turning Operation by
Considering the Machine Tool Vibration using Taguchi Method |
title_short |
Optimization of Surface Finish in Turning Operation by
Considering the Machine Tool Vibration using Taguchi Method |
title_full |
Optimization of Surface Finish in Turning Operation by
Considering the Machine Tool Vibration using Taguchi Method |
title_fullStr |
Optimization of Surface Finish in Turning Operation by
Considering the Machine Tool Vibration using Taguchi Method |
title_full_unstemmed |
Optimization of Surface Finish in Turning Operation by
Considering the Machine Tool Vibration using Taguchi Method |
title_sort |
optimization of surface finish in turning operation by
considering the machine tool vibration using taguchi method |
publisher |
Mehran University of Engineering and Technology |
series |
Mehran University Research Journal of Engineering and Technology |
issn |
0254-7821 2413-7219 |
publishDate |
2012-01-01 |
description |
Optimization of surface roughness has been one of the primary objectives in most of the machining
operations. Poor control on the desired surface roughness generates non conforming parts and results
into increase in cost and loss of productivity due to rework or scrap. Surface roughness value is a result
of several process variables among which machine tool condition is one of the significant variables. In
this study, experimentation was carried out to investigate the effect of machine tool condition on surface
roughness. Variable used to represent machine tool\'s condition was vibration amplitude. Input parameters
used, besides vibration amplitude, were feed rate and insert nose radius. Cutting speed and depth of cut
were kept constant. Based on Taguchi orthogonal array, a series of experimentation was designed and
performed on AISI 1040 carbon steel bar at default and induced machine tool\'s vibration amplitudes.
ANOVA (Analysis of Variance), revealed that vibration amplitude and feed rate had moderate effect on the
surface roughness and insert nose radius had the highest significant effect on the surface roughness. It
was also found that a machine tool with low vibration amplitude produced better surface roughness.
Insert with larger nose radius produced better surface roughness at low feed rate. |
topic |
Taguchi Method Surface Roughness Vibration Amplitude ANOVA Optimization. |
url |
http://publications.muet.edu.pk/research_papers/pdf/pdf202.pdf |
work_keys_str_mv |
AT muhammadmunawar optimizationofsurfacefinishinturningoperationbyconsideringthemachinetoolvibrationusingtaguchimethod AT nadeemamufti optimizationofsurfacefinishinturningoperationbyconsideringthemachinetoolvibrationusingtaguchimethod AT hassaniqbal optimizationofsurfacefinishinturningoperationbyconsideringthemachinetoolvibrationusingtaguchimethod |
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