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Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation

Inconel 718 is a superalloy that has very strong mechanical properties due to an excellent yield strength at elevated temperature, capable to withstand thermal shock and corrosion resistance. In this study, the turning process is chosen as material removal operation. A bar stock of Inconel 718 and u...

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Main Author: Abd Aziz, Syazxerlin
Format: Thesis
Language:English
English
Published: 2018
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/23887/1/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf
http://eprints.utem.edu.my/id/eprint/23887/2/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf
http://eprints.utem.edu.my/id/eprint/23887/
http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113633
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institution Universiti Teknikal Malaysia Melaka
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country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
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language English
English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Abd Aziz, Syazxerlin
Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation
description Inconel 718 is a superalloy that has very strong mechanical properties due to an excellent yield strength at elevated temperature, capable to withstand thermal shock and corrosion resistance. In this study, the turning process is chosen as material removal operation. A bar stock of Inconel 718 and uncoated tungsten carbide were used as workpiece and cutting tool respectively. The turning operation evaluation was conducted in two different techniques which are experimental machining and simulation modelling. The input parameters selected in this study were spindle speed, depth of cut and feet rate. The chosen spindle speed parameters are 717 rpm, 876 rpm, 1035 rpm and 1194 rpm. The other two parameters which are depth of cut and feet rate parameters remain fixed as 1.0 mm and 0.1 mm/rev. Each set of cutting parameter underwent four repetitions of machining operation in order to access variability in this study. The aim of study is to establish and evaluate correlation between spindle speed and tool wear characteristics for both experimental machining and simulation modelling techniques in turning of Inconel 718 operation. The equipment used in this study was CNC lathe machine for experimental machining, thermal imager for capturing thermogram image of temperature distribution during turning process for maximum values. Besides, tool maker microscope and optical microscope were used for analysing and observing physical and structural changes of tool wear characteristics on the cutting tool edge. For the simulation modelling technique, DEFORM 3D software used in order to predict the tool wear characteristics that occurred after simulation process is completely done. The output response obtained from DEFORM 3D software is in terms of graphical image, graph chart and numerical values. The pre processor, simulator and post processor were generated based on the actual experimental machining characterizations which were mechanical properties, geometry dimensions and cutting conditions. The data analysis method for this study were regression and correlation analysis by using Minitab software. The hypothesis of this study is stated that the tool wear characteristics increase as the spindle speed increased. The tool wear characteristics generation are influenced by spindle speed as heat generated between contacted area of cutting tool and workpiece. The positive results obtained from the experimental machining and simulation modelling which indicated that rising in spindle speed tends to increase tool wear characteristics. In the experimental machining, result shows that flank wear length, notch wear length, crater wear length, chip formation and maximum temperature increased due to rising in spindle speed. Besides, the simulation modelling also determines that maximum temperature, total velocity, tool wear-interface temperature, tool wear-interface pressure, tool wear-sliding velocity, effective strain rate, effective strain, nodal heat, total force, folding angle, effective stress, tool wear-wear rate, tool wear-total wear depth, minimum distance, surface area, surface expansion ratio, damage and maximum shear stress increased due to rising in spindle speed.
format Thesis
author Abd Aziz, Syazxerlin
author_facet Abd Aziz, Syazxerlin
author_sort Abd Aziz, Syazxerlin
title Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation
title_short Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation
title_full Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation
title_fullStr Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation
title_full_unstemmed Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation
title_sort prediction of tool wear characteristics in turning on inconel 718 : experimentation and simulation
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/23887/1/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf
http://eprints.utem.edu.my/id/eprint/23887/2/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf
http://eprints.utem.edu.my/id/eprint/23887/
http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113633
_version_ 1728055196427223040
spelling my.utem.eprints.238872022-03-15T11:07:25Z http://eprints.utem.edu.my/id/eprint/23887/ Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation Abd Aziz, Syazxerlin T Technology (General) TJ Mechanical engineering and machinery Inconel 718 is a superalloy that has very strong mechanical properties due to an excellent yield strength at elevated temperature, capable to withstand thermal shock and corrosion resistance. In this study, the turning process is chosen as material removal operation. A bar stock of Inconel 718 and uncoated tungsten carbide were used as workpiece and cutting tool respectively. The turning operation evaluation was conducted in two different techniques which are experimental machining and simulation modelling. The input parameters selected in this study were spindle speed, depth of cut and feet rate. The chosen spindle speed parameters are 717 rpm, 876 rpm, 1035 rpm and 1194 rpm. The other two parameters which are depth of cut and feet rate parameters remain fixed as 1.0 mm and 0.1 mm/rev. Each set of cutting parameter underwent four repetitions of machining operation in order to access variability in this study. The aim of study is to establish and evaluate correlation between spindle speed and tool wear characteristics for both experimental machining and simulation modelling techniques in turning of Inconel 718 operation. The equipment used in this study was CNC lathe machine for experimental machining, thermal imager for capturing thermogram image of temperature distribution during turning process for maximum values. Besides, tool maker microscope and optical microscope were used for analysing and observing physical and structural changes of tool wear characteristics on the cutting tool edge. For the simulation modelling technique, DEFORM 3D software used in order to predict the tool wear characteristics that occurred after simulation process is completely done. The output response obtained from DEFORM 3D software is in terms of graphical image, graph chart and numerical values. The pre processor, simulator and post processor were generated based on the actual experimental machining characterizations which were mechanical properties, geometry dimensions and cutting conditions. The data analysis method for this study were regression and correlation analysis by using Minitab software. The hypothesis of this study is stated that the tool wear characteristics increase as the spindle speed increased. The tool wear characteristics generation are influenced by spindle speed as heat generated between contacted area of cutting tool and workpiece. The positive results obtained from the experimental machining and simulation modelling which indicated that rising in spindle speed tends to increase tool wear characteristics. In the experimental machining, result shows that flank wear length, notch wear length, crater wear length, chip formation and maximum temperature increased due to rising in spindle speed. Besides, the simulation modelling also determines that maximum temperature, total velocity, tool wear-interface temperature, tool wear-interface pressure, tool wear-sliding velocity, effective strain rate, effective strain, nodal heat, total force, folding angle, effective stress, tool wear-wear rate, tool wear-total wear depth, minimum distance, surface area, surface expansion ratio, damage and maximum shear stress increased due to rising in spindle speed. 2018 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/23887/1/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf text en http://eprints.utem.edu.my/id/eprint/23887/2/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf Abd Aziz, Syazxerlin (2018) Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation. Masters thesis, Universiti Teknikal Malaysia Melaka. http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113633
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