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Development of crack on composite detection sensor using magnetic induction concept

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 6 (2019)

DOI
10.11591/ijece.v9i6.pp5644-5652
ISSN
2088-8708, 2088-8708
Terbit
2019-12-01
Penerbit
Institute of Advanced Engineering and Science
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

A crack detection is very important to control the quality of the composite itself that been widely used in industries. There are quite a numbers of techniques which are used to detect the crack such as visual inspection, radiography, ultrasonic, eddy current magnetic particle, and penetrant testing. In this paper, it focuses on designing and implementing the system to detect a crack on the composite material using magnetic induction concept. At the early stage, the miniature of composite detection sensor using magnetic induction concept is designed using Comsol Multiphysics software to see the current induced from the system. The current value from the sensor is measured based on magnetic induction concept. A complete design of a system then is designed which include the sensor design, the main controller unit design and Bluetooth electronic application. The experiment results show that the magnetic induction concept can be used to detect crack by changing the value of current. When crack occurs the value of current will decrease due to the changes of magnetic induction.

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9 penulis · 18 tautan kepenulisan bersama

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  • Universiti Teknikal Malaysia Melaka
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Rekan penulisOrganisasiArtikel bersama
N. H. HussinUniversiti Teknikal Malaysia Melaka2
Mohd Fariduddin MukhtarUniversiti Teknikal Malaysia Melaka2
Aiman Zakwan JidinUniversiti Teknikal Malaysia Melaka1
A Shamsul Rahimi A SubkiUniversiti Teknikal Malaysia Melaka1
Mohd Zaidi Mohd TumariUniversiti Teknikal Malaysia Melaka1
Ahmad Nizamuddin Muhammad MustafaUniversiti Teknikal Malaysia Melaka1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, pertama di-harvest 27 Okt 2026, terakhir terlihat 15 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
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