Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM

This project investigates the effect of lathe machining parameters on machining characteristics towards mild steel (AISI 1020) using Response Surface Method. The machining parameters selected on the experimental project are cutting speed (75m/min – 125m/min), feed rate (0.2mm/rev – 0.4mm/rev) and de...

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Main Author: Mansoor, Mohd Sufriansyah
Format: Thesis
Language:English
English
Published: 2019
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Online Access:http://eprints.utem.edu.my/id/eprint/24938/1/Effect%20Of%20Lathe%20Machining%20Parameters%20On%20Machining%20Characteristics%20Towards%20Mild%20Steel%20%28AISI%201020%29%20Using%20RSM.pdf
http://eprints.utem.edu.my/id/eprint/24938/2/Effect%20Of%20Lathe%20Machining%20Parameters%20On%20Machining%20Characteristics%20Towards%20Mild%20Steel%20%28AISI%201020%29%20Using%20RSM.pdf
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spelling my.utem.eprints.249382021-09-29T12:04:26Z http://eprints.utem.edu.my/id/eprint/24938/ Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM Mansoor, Mohd Sufriansyah T Technology (General) TJ Mechanical engineering and machinery This project investigates the effect of lathe machining parameters on machining characteristics towards mild steel (AISI 1020) using Response Surface Method. The machining parameters selected on the experimental project are cutting speed (75m/min – 125m/min), feed rate (0.2mm/rev – 0.4mm/rev) and depth of cut (0.1mm-1.5mm). RSM using Box-Behnken was used to determine the most influential paremeters affected on the experimental response, investigate corelation between process parameters towards response and also to determine the optimum cutting parameters value that give minimum surface roughness and maximum material removal rate and hardness. There were 17 numbers of experiment has been conducted using the CNC lathe machine. The result collected was to optimize using RSM meanwhile P-value and R-squared were calculated using analysis of variance (ANOVA). From the result analysis obtained feed rate was the most influential parameters towards the surface roughness which contributes 53.88% of effect. Further, depth of cut and cutting speed are the most significant factor affected the material removal rate and hardness which contributes 66.78% and 37.40% of effect respectively. Interaction between process parameters was obtain and analyse towards surface roughness, material removal rate amd hardness. It found that, surface roughness value is decrease when the machine parameters at high cutting speed with low feed rate and depth of cut. Furthur, material removal rate increase when the machine parameters are at high cutting speed, feed rate and depth of cut. Meanwhile, when the machine parameters of cutting speed, feed rate and depth of cut are at middle value, the hardness value is significantly at highest value. Lastly, multiple optimization is perform and it shows that The combination of 101.2626 m/min cutting speed, 0.2444 mm/rev feed rate and the depth of 1.5 mm has a desirability of 0.6982 and the predicted values of MRR, surface roughness and hardness are 240.3743 g/min, 2.0669 µm and 44.3187 HRA respectively. Thus, all the objective of this project is achived and the optimal parameters are suceffully obtained to increase efficiency of machining process. 2019 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/24938/1/Effect%20Of%20Lathe%20Machining%20Parameters%20On%20Machining%20Characteristics%20Towards%20Mild%20Steel%20%28AISI%201020%29%20Using%20RSM.pdf text en http://eprints.utem.edu.my/id/eprint/24938/2/Effect%20Of%20Lathe%20Machining%20Parameters%20On%20Machining%20Characteristics%20Towards%20Mild%20Steel%20%28AISI%201020%29%20Using%20RSM.pdf Mansoor, Mohd Sufriansyah (2019) Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118038
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Mansoor, Mohd Sufriansyah
Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM
description This project investigates the effect of lathe machining parameters on machining characteristics towards mild steel (AISI 1020) using Response Surface Method. The machining parameters selected on the experimental project are cutting speed (75m/min – 125m/min), feed rate (0.2mm/rev – 0.4mm/rev) and depth of cut (0.1mm-1.5mm). RSM using Box-Behnken was used to determine the most influential paremeters affected on the experimental response, investigate corelation between process parameters towards response and also to determine the optimum cutting parameters value that give minimum surface roughness and maximum material removal rate and hardness. There were 17 numbers of experiment has been conducted using the CNC lathe machine. The result collected was to optimize using RSM meanwhile P-value and R-squared were calculated using analysis of variance (ANOVA). From the result analysis obtained feed rate was the most influential parameters towards the surface roughness which contributes 53.88% of effect. Further, depth of cut and cutting speed are the most significant factor affected the material removal rate and hardness which contributes 66.78% and 37.40% of effect respectively. Interaction between process parameters was obtain and analyse towards surface roughness, material removal rate amd hardness. It found that, surface roughness value is decrease when the machine parameters at high cutting speed with low feed rate and depth of cut. Furthur, material removal rate increase when the machine parameters are at high cutting speed, feed rate and depth of cut. Meanwhile, when the machine parameters of cutting speed, feed rate and depth of cut are at middle value, the hardness value is significantly at highest value. Lastly, multiple optimization is perform and it shows that The combination of 101.2626 m/min cutting speed, 0.2444 mm/rev feed rate and the depth of 1.5 mm has a desirability of 0.6982 and the predicted values of MRR, surface roughness and hardness are 240.3743 g/min, 2.0669 µm and 44.3187 HRA respectively. Thus, all the objective of this project is achived and the optimal parameters are suceffully obtained to increase efficiency of machining process.
format Thesis
author Mansoor, Mohd Sufriansyah
author_facet Mansoor, Mohd Sufriansyah
author_sort Mansoor, Mohd Sufriansyah
title Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM
title_short Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM
title_full Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM
title_fullStr Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM
title_full_unstemmed Effect Of Lathe Machining Parameters On Machining Characteristics Towards Mild Steel (AISI 1020) Using RSM
title_sort effect of lathe machining parameters on machining characteristics towards mild steel (aisi 1020) using rsm
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24938/1/Effect%20Of%20Lathe%20Machining%20Parameters%20On%20Machining%20Characteristics%20Towards%20Mild%20Steel%20%28AISI%201020%29%20Using%20RSM.pdf
http://eprints.utem.edu.my/id/eprint/24938/2/Effect%20Of%20Lathe%20Machining%20Parameters%20On%20Machining%20Characteristics%20Towards%20Mild%20Steel%20%28AISI%201020%29%20Using%20RSM.pdf
http://eprints.utem.edu.my/id/eprint/24938/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118038
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score 13.211869