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
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id	my-utem-ep.23887
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
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
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
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
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Manufacturing Engineering
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
_version_	1747834057291464704
spelling	my-utem-ep.238872022-03-15T11:07:25Z Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation 2018 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 http://eprints.utem.edu.my/id/eprint/23887/ 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 public http://eprints.utem.edu.my/id/eprint/23887/2/Prediction%20Of%20Tool%20Wear%20Characteristics%20In%20Turning%20On%20Inconel%20718%20-%20Experimentation%20And%20Simulation.pdf text en validuser http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113633 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering 1. 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Prediction Of Tool Wear Characteristics In Turning On Inconel 718 : Experimentation And Simulation

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