Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection
Inspection of inner wall cracks is critical in the evaluation of carbon steel pipe integrity. In this study, the optimization of Giant magneto-resistive (GMR)-Bobbing coil probe (GMR-BC) based eddy current technique for carbon steel pipeline was proposed. Bobbing coil was used in the magnetization o...
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ump-233272018-12-19T01:57:22Z http://umpir.ump.edu.my/id/eprint/23327/ Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection Faraj, Moneer A. Fahmi, Samsuri Abdalla, Ahmed N. Damhuji, Rifai Kharudin, Ali Al-Douri, Y. TK Electrical engineering. Electronics Nuclear engineering Inspection of inner wall cracks is critical in the evaluation of carbon steel pipe integrity. In this study, the optimization of Giant magneto-resistive (GMR)-Bobbing coil probe (GMR-BC) based eddy current technique for carbon steel pipeline was proposed. Bobbing coil was used in the magnetization of pipe and the GMR sensor array in the identification of field leakages from the pipe crack. Response surface methodology (RSM) was utilized to optimize the dimension which includes GMR sensors, height of the coil, and lift-off depending on the desirability technique. The efficiency of this approach was by estimating the change in the axial component of leakage flux from axial and hole defects artificially machined on the wall pipe. The results obtained experimentally were in good agreement with the predicted mathe-matical model using RSM in the prediction of axial and hole defect detection. The result reflected that 6 GMR sensors, 2 mm of lift-off, and 10 mm of coil height were the optimum conditions of GMR-BC probe that detected all the axial and hole defect in 60 mm carbon steel pipe. Science Publishing Corporation 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23327/1/Response%20Surface%20Methodology%20for%20Optimizing%20GiantMagneto-Resistive%20%28GMR%29-Bobbing%20Coil%20Probe%20for%20Carbon%20Steel%20Pipeline%20Crack%20Detection.pdf Faraj, Moneer A. and Fahmi, Samsuri and Abdalla, Ahmed N. and Damhuji, Rifai and Kharudin, Ali and Al-Douri, Y. (2018) Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection. International Journal of Engineering & Technology, 7 (3.28). pp. 218-226. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/23426/11717 |
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TK Electrical engineering. Electronics Nuclear engineering Faraj, Moneer A. Fahmi, Samsuri Abdalla, Ahmed N. Damhuji, Rifai Kharudin, Ali Al-Douri, Y. Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection |
description |
Inspection of inner wall cracks is critical in the evaluation of carbon steel pipe integrity. In this study, the optimization of Giant magneto-resistive (GMR)-Bobbing coil probe (GMR-BC) based eddy current technique for carbon steel pipeline was proposed. Bobbing coil was used in the magnetization of pipe and the GMR sensor array in the identification of field leakages from the pipe crack. Response surface methodology (RSM) was utilized to optimize the dimension which includes GMR sensors, height of the coil, and lift-off depending on the desirability technique. The efficiency of this approach was by estimating the change in the axial component of leakage flux from axial and hole defects artificially machined on the wall pipe. The results obtained experimentally were in good agreement with the predicted mathe-matical model using RSM in the prediction of axial and hole defect detection. The result reflected that 6 GMR sensors, 2 mm of lift-off, and 10 mm of coil height were the optimum conditions of GMR-BC probe that detected all the axial and hole defect in 60 mm carbon steel pipe. |
format |
Article |
author |
Faraj, Moneer A. Fahmi, Samsuri Abdalla, Ahmed N. Damhuji, Rifai Kharudin, Ali Al-Douri, Y. |
author_facet |
Faraj, Moneer A. Fahmi, Samsuri Abdalla, Ahmed N. Damhuji, Rifai Kharudin, Ali Al-Douri, Y. |
author_sort |
Faraj, Moneer A. |
title |
Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection |
title_short |
Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection |
title_full |
Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection |
title_fullStr |
Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection |
title_full_unstemmed |
Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection |
title_sort |
response surface methodology for optimizing giant magneto-resistive (gmr)-bobbing coil probe for carbon steel pipeline crack detection |
publisher |
Science Publishing Corporation |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/23327/ http://umpir.ump.edu.my/id/eprint/23327/ http://umpir.ump.edu.my/id/eprint/23327/1/Response%20Surface%20Methodology%20for%20Optimizing%20GiantMagneto-Resistive%20%28GMR%29-Bobbing%20Coil%20Probe%20for%20Carbon%20Steel%20Pipeline%20Crack%20Detection.pdf |
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2023-09-18T22:34:52Z |
last_indexed |
2023-09-18T22:34:52Z |
_version_ |
1777416527939633152 |