Staff View: Monitoring the Quality of Welding based on Welding Current and Ste Analysis

Monitoring the Quality of Welding based on Welding Current and Ste Analysis

Qualities of welding play an important part in industry especially in manufacturing field. Post-welding non-destructive test is one of the importance process to ensure the quality of welding but it is time consuming and costly. To reduce the chance of defects, online monitoring had been utilized by...

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Main Authors:	Afidatusshimah, Mazlan, Hamdan, Daniyal, Amir Izzani, Mohamed, M., Ishak, Amran, Abdul Hadi
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19859/1/fkee-2017-Afidatusshimah-Monitoring%20the%20quality%20of%20welding.pdf http://umpir.ump.edu.my/id/eprint/19859/ https://doi.org/10.1088/1757-899X/257/1/012043
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spelling	my.ump.umpir.198592018-01-09T01:49:19Z http://umpir.ump.edu.my/id/eprint/19859/ Monitoring the Quality of Welding based on Welding Current and Ste Analysis Afidatusshimah, Mazlan Hamdan, Daniyal Amir Izzani, Mohamed M., Ishak Amran, Abdul Hadi TK Electrical engineering. Electronics Nuclear engineering Qualities of welding play an important part in industry especially in manufacturing field. Post-welding non-destructive test is one of the importance process to ensure the quality of welding but it is time consuming and costly. To reduce the chance of defects, online monitoring had been utilized by continuously sense some of welding parameters and predict welding quality. One of the parameters is welding current, which is rich of information but lack of study focus on extract them at signal analysis level. This paper presents the analysis of welding current using Short Time Energy (STE) signal processing to quantify the pattern of the current. GMAW set with carbon steel specimens are used in this experimental study with high-bandwidth and high sampling rate oscilloscope capturing the welding current. The results indicate welding current as signatures have high correlation with the welding process. Continue with STE analysis, the value below 5000 is declare as good welding, meanwhile the STE value more than 6000 is contained defect. IOP Publishing 2017 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/19859/1/fkee-2017-Afidatusshimah-Monitoring%20the%20quality%20of%20welding.pdf Afidatusshimah, Mazlan and Hamdan, Daniyal and Amir Izzani, Mohamed and M., Ishak and Amran, Abdul Hadi (2017) Monitoring the Quality of Welding based on Welding Current and Ste Analysis. In: IOP Conference Series: Materials Science and Engineering, 4th International Conference on Mechanical Engineering Research (ICMER2017), 1-2 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-5., 257 (012043). ISSN 1757-899X https://doi.org/10.1088/1757-899X/257/1/012043
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Afidatusshimah, Mazlan Hamdan, Daniyal Amir Izzani, Mohamed M., Ishak Amran, Abdul Hadi Monitoring the Quality of Welding based on Welding Current and Ste Analysis
description	Qualities of welding play an important part in industry especially in manufacturing field. Post-welding non-destructive test is one of the importance process to ensure the quality of welding but it is time consuming and costly. To reduce the chance of defects, online monitoring had been utilized by continuously sense some of welding parameters and predict welding quality. One of the parameters is welding current, which is rich of information but lack of study focus on extract them at signal analysis level. This paper presents the analysis of welding current using Short Time Energy (STE) signal processing to quantify the pattern of the current. GMAW set with carbon steel specimens are used in this experimental study with high-bandwidth and high sampling rate oscilloscope capturing the welding current. The results indicate welding current as signatures have high correlation with the welding process. Continue with STE analysis, the value below 5000 is declare as good welding, meanwhile the STE value more than 6000 is contained defect.
format	Conference or Workshop Item
author	Afidatusshimah, Mazlan Hamdan, Daniyal Amir Izzani, Mohamed M., Ishak Amran, Abdul Hadi
author_facet	Afidatusshimah, Mazlan Hamdan, Daniyal Amir Izzani, Mohamed M., Ishak Amran, Abdul Hadi
author_sort	Afidatusshimah, Mazlan
title	Monitoring the Quality of Welding based on Welding Current and Ste Analysis
title_short	Monitoring the Quality of Welding based on Welding Current and Ste Analysis
title_full	Monitoring the Quality of Welding based on Welding Current and Ste Analysis
title_fullStr	Monitoring the Quality of Welding based on Welding Current and Ste Analysis
title_full_unstemmed	Monitoring the Quality of Welding based on Welding Current and Ste Analysis
title_sort	monitoring the quality of welding based on welding current and ste analysis
publisher	IOP Publishing
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19859/1/fkee-2017-Afidatusshimah-Monitoring%20the%20quality%20of%20welding.pdf http://umpir.ump.edu.my/id/eprint/19859/ https://doi.org/10.1088/1757-899X/257/1/012043
_version_	1643668746302128128
score	13.211869

Monitoring the Quality of Welding based on Welding Current and Ste Analysis

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