Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]

Gas Metal Arc Welding (GMAW) is one of the popular methods in joining metal in manufacturing industries. However the transient thermal stresses and non-uniform distribution of elastic strains is produced by the weld causes residual stresses and distortion, thus affecting the fatigue performance of t...

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Main Authors: Abidin, Azrriq Zainul, Wan Abdul Rahaman, Wan Emri, HP Manurung, Yupiter, Abu Bakar, Muhammad Raimiey
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2017
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Online Access:http://ir.uitm.edu.my/id/eprint/39254/1/39254.pdf
http://ir.uitm.edu.my/id/eprint/39254/
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spelling my.uitm.ir.392542020-12-17T07:26:57Z http://ir.uitm.edu.my/id/eprint/39254/ Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.] Abidin, Azrriq Zainul Wan Abdul Rahaman, Wan Emri HP Manurung, Yupiter Abu Bakar, Muhammad Raimiey TJ Mechanical engineering and machinery Metal manufactures. Metalworking Gas Metal Arc Welding (GMAW) is one of the popular methods in joining metal in manufacturing industries. However the transient thermal stresses and non-uniform distribution of elastic strains is produced by the weld causes residual stresses and distortion, thus affecting the fatigue performance of the welded structure. The used of Robotic Welding (RW) allows this welding process parameters to be controlled significantly to improve the welding quality. First, Multi-Objective Taguchi Method (MTM) were used to analyse optimum parameters value which started application of common Taguchi methods (L8) Orthogonal Array (OA) and Total Normalized Quality Loss (TNQL) followed by ANOVA under simultaneous consideration response factors. The value was furthermore analysed by applying Multi-Signal to Noise Ratio (MSNR). The two (2) optimize welding parameter ranges are selected to be used for fatigue life assessment on the 9 mm plate which is labelled as set A and B. Tensile test was carried out on the specimen prior to fatigue testing to know the value of yield strength and UTS of the specimens. The fatigue test was carried out on three (3) type of specimen with one sample without any welding as controlled specimen. It can be concluded that welding parameters of set A is more superior for fatigue performance of this 9 mm low carbon steel plate. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2017 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/39254/1/39254.pdf Abidin, Azrriq Zainul and Wan Abdul Rahaman, Wan Emri and HP Manurung, Yupiter and Abu Bakar, Muhammad Raimiey (2017) Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]. Journal of Mechanical Engineering (JMechE), SI 4 (1). pp. 143-153. ISSN 18235514
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 TJ Mechanical engineering and machinery
Metal manufactures. Metalworking
spellingShingle TJ Mechanical engineering and machinery
Metal manufactures. Metalworking
Abidin, Azrriq Zainul
Wan Abdul Rahaman, Wan Emri
HP Manurung, Yupiter
Abu Bakar, Muhammad Raimiey
Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]
description Gas Metal Arc Welding (GMAW) is one of the popular methods in joining metal in manufacturing industries. However the transient thermal stresses and non-uniform distribution of elastic strains is produced by the weld causes residual stresses and distortion, thus affecting the fatigue performance of the welded structure. The used of Robotic Welding (RW) allows this welding process parameters to be controlled significantly to improve the welding quality. First, Multi-Objective Taguchi Method (MTM) were used to analyse optimum parameters value which started application of common Taguchi methods (L8) Orthogonal Array (OA) and Total Normalized Quality Loss (TNQL) followed by ANOVA under simultaneous consideration response factors. The value was furthermore analysed by applying Multi-Signal to Noise Ratio (MSNR). The two (2) optimize welding parameter ranges are selected to be used for fatigue life assessment on the 9 mm plate which is labelled as set A and B. Tensile test was carried out on the specimen prior to fatigue testing to know the value of yield strength and UTS of the specimens. The fatigue test was carried out on three (3) type of specimen with one sample without any welding as controlled specimen. It can be concluded that welding parameters of set A is more superior for fatigue performance of this 9 mm low carbon steel plate.
format Article
author Abidin, Azrriq Zainul
Wan Abdul Rahaman, Wan Emri
HP Manurung, Yupiter
Abu Bakar, Muhammad Raimiey
author_facet Abidin, Azrriq Zainul
Wan Abdul Rahaman, Wan Emri
HP Manurung, Yupiter
Abu Bakar, Muhammad Raimiey
author_sort Abidin, Azrriq Zainul
title Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]
title_short Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]
title_full Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]
title_fullStr Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]
title_full_unstemmed Fatigue Life Assessment of 9mm Thickness Low Carbon Steel with Multi-Objective Optimized Welding Process / Azrriq Zainul Abidin...[et al.]
title_sort fatigue life assessment of 9mm thickness low carbon steel with multi-objective optimized welding process / azrriq zainul abidin...[et al.]
publisher Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/39254/1/39254.pdf
http://ir.uitm.edu.my/id/eprint/39254/
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score 13.211869