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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19859/1/fkee-2017-Afidatusshimah-Monitoring%20the%20quality%20of%20welding.pdf |
| _version_ | 1825811861838233600 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:20:38Z |
| format | Conference or Workshop Item |
| id | UMPir19859 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:20:38Z |
| publishDate | 2017 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir198592018-01-09T01:49:19Z 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 (Published) https://doi.org/10.1088/1757-899X/257/1/012043 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/19859/1/fkee-2017-Afidatusshimah-Monitoring%20the%20quality%20of%20welding.pdf |
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