Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh

Wire Electric Discharge Machining (WEDM) of Titanium grade alloys with coated electrodes has several advantages over the traditional machining process such as increased productivity, reduction of processing cost, and improved material properties. The main objective is to create a relationship betwee...

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Main Authors: H.R., Basavaraju, S.S., Manjunatha, R., Suresh
格式: Article
语言:English
出版: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2023
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在线阅读:https://ir.uitm.edu.my/id/eprint/76875/1/76875.pdf
https://ir.uitm.edu.my/id/eprint/76875/
https://jmeche.uitm.edu.my
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spelling my.uitm.ir.768752023-04-26T04:18:15Z https://ir.uitm.edu.my/id/eprint/76875/ Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh H.R., Basavaraju S.S., Manjunatha R., Suresh Machine construction (General) Wire Electric Discharge Machining (WEDM) of Titanium grade alloys with coated electrodes has several advantages over the traditional machining process such as increased productivity, reduction of processing cost, and improved material properties. The main objective is to create a relationship between WEDM parameters such as Pulse-on (TON), Pulse-off (TOFF), and Indicated Power (IP) with surface roughness (Ra) and Material Removal Rate (MRR). In the present work, the performance of zinc-coated brass electrodes for WEDM of Titanium Grade-7 alloy was assessed and optimized with statistical technique. ANOVA analysis is used to analysis of the MRR and Ra and validated with regression. The ANOVA analysis results indicated that TON is the highest statistically significant and followed by TOFF and IP on MRR and surface roughness. The optimum combination of higher IP(6 A) and TON time(60 µs) and lower TOFF time (12 µs) is lucrative for a higher MRR of 8.5682 mm3/min and lower surface roughness of 1.66 µm. The SEM images showed homogeneous solidification, columnar grain structure, recast layer surface, and minor surface crack density were noticed at higher cutting conditions. The predicted model and confirmation test results were close to each other with minimum error. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2023-04 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/76875/1/76875.pdf Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh. (2023) Journal of Mechanical Engineering (JMechE), 20 (2): 5. pp. 73-90. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Machine construction (General)
spellingShingle Machine construction (General)
H.R., Basavaraju
S.S., Manjunatha
R., Suresh
Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh
description Wire Electric Discharge Machining (WEDM) of Titanium grade alloys with coated electrodes has several advantages over the traditional machining process such as increased productivity, reduction of processing cost, and improved material properties. The main objective is to create a relationship between WEDM parameters such as Pulse-on (TON), Pulse-off (TOFF), and Indicated Power (IP) with surface roughness (Ra) and Material Removal Rate (MRR). In the present work, the performance of zinc-coated brass electrodes for WEDM of Titanium Grade-7 alloy was assessed and optimized with statistical technique. ANOVA analysis is used to analysis of the MRR and Ra and validated with regression. The ANOVA analysis results indicated that TON is the highest statistically significant and followed by TOFF and IP on MRR and surface roughness. The optimum combination of higher IP(6 A) and TON time(60 µs) and lower TOFF time (12 µs) is lucrative for a higher MRR of 8.5682 mm3/min and lower surface roughness of 1.66 µm. The SEM images showed homogeneous solidification, columnar grain structure, recast layer surface, and minor surface crack density were noticed at higher cutting conditions. The predicted model and confirmation test results were close to each other with minimum error.
format Article
author H.R., Basavaraju
S.S., Manjunatha
R., Suresh
author_facet H.R., Basavaraju
S.S., Manjunatha
R., Suresh
author_sort H.R., Basavaraju
title Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh
title_short Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh
title_full Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh
title_fullStr Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh
title_full_unstemmed Investigation on surface roughness and MRR in WEDM of titanium grade 7 (Ti-0.15Pd) alloy using statistical techniques / H. R. Basavaraju, S. S. Manjunatha and R. Suresh
title_sort investigation on surface roughness and mrr in wedm of titanium grade 7 (ti-0.15pd) alloy using statistical techniques / h. r. basavaraju, s. s. manjunatha and r. suresh
publisher Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/76875/1/76875.pdf
https://ir.uitm.edu.my/id/eprint/76875/
https://jmeche.uitm.edu.my
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score 13.250246