Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33226
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dc.contributor.authorMaliki, Ibrahim-
dc.contributor.authorZulkarnay, Zakaria-
dc.contributor.authorAli Aiman, Mustapha-
dc.contributor.authorSurin, Dennis Desmond-
dc.contributor.authorMohd Nasir, Ayob-
dc.contributor.authorIbrahim, Balkhis-
dc.contributor.authorRuzairi, Abdul Rahim, Prof. Dr. -
dc.date.accessioned2014-03-31T04:31:02Z-
dc.date.available2014-03-31T04:31:02Z-
dc.date.issued2013-08-
dc.identifier.citationSensors and Transducers, vol. 156(9), 2013, pages 67-74en_US
dc.identifier.issn1726-5479-
dc.identifier.urihttp://www.sensorsportal.com/HTML/DIGEST/P_1328.htm-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33226-
dc.descriptionLink to publisher's homepage at http://www.sensorsportal.com/en_US
dc.description.abstractThis paper discussed on the material selection and its robustness analysis towards the design of magnetic flux leakage capsule that most applied in oil and gas pipeline. Magnetic Flux Leakage is among the most famous and expensive technique in large scale oil and gas pipe diagnosis system. This technique applies strong magnetic fields to detect any strange in the inner surface of the pipes such as corrosion, crack or other symptoms which is bad to the pipe condition. The aim of this research is to study and develop a small scale, low cost and portable Magnetic Flux Leakage diagnosis system which suitable in detecting the defect in the inner side of steel pipe or steel tank structures. This system uses strong permanent magnet to generate strong magnetic field while Hall Effect sensor act as a receiver. It is found that the best suitable material for the Magnetic Flux Leakage Capsule is carbon steel.en_US
dc.language.isoenen_US
dc.publisherInternational Frequency Sensor Association (IFSA)en_US
dc.subjectMagnetic flux leakageen_US
dc.subjectMaterial selectionen_US
dc.subjectRobustness analysisen_US
dc.titleMagnetic Flux Leakage (MFL) Capsule material selection and its robustness analysis in oil and gas pipelineen_US
dc.typeArticleen_US
dc.contributor.urlmaliki@unimap.edu.myen_US
dc.contributor.urlzulkarnay@unimap.edu.myen_US
dc.contributor.urlAli_Aiman_Mustapha@yahoo.comen_US
dc.contributor.urlnasirayob@unimap.edu.myen_US
dc.contributor.urlIbrahim_balkhis@gmail.comen_US
dc.contributor.urlruzairi@fke.utm.myen_US
Appears in Collections:School of Manufacturing Engineering (Articles)
School of Mechatronic Engineering (Articles)
Mohd Nasir Ayob, Dr.
Maliki Ibrahim, Mr



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