UMP Institutional Repository

Response Surface Methodology for Optimizing Giant Magneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection

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

[img]
Preview
Pdf
Response Surface Methodology for Optimizing GiantMagneto-Resistive (GMR)-Bobbing Coil Probe for Carbon Steel Pipeline Crack Detection.pdf

Download (832kB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Eddy Current Testing; Non-Destructive Testing; GMR Sensor; Defect Detection; Response surface methodology
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 19 Dec 2018 01:57
Last Modified: 19 Dec 2018 01:57
URI: http://umpir.ump.edu.my/id/eprint/23327
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item