Defect Analysis on Boeing 737-400 Skin Panel Rivet Row Aft Ward Fuselage
Mohammad Iqmal Mohd Ali1, Azri Imran Hussin2, Md Khairul Amiza Md Hairudin3
1Mohammad Iqmal Mohd Ali, University Kuala Lumpur Malaysian Institute of Aviation Technology, Dengkil, Selangor.
2Azri Imran Hussin, University Kuala Lumpur Malaysian Institute of Aviation Technology, Dengkil, Selangor.
3Md Khairul Amiza Md Hairudin, University Kuala Lumpur Malaysian Institute of Aviation Technology, Dengkil, Selangor.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 April 2019 | PP: 674-681 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61500486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Non-destructive testing defect analysis has been long used as a lead to safeguard against an incident due to damage limitation. This is especially vital for the aging aircraft to protection against possible issue respectively. Defect analysis using non-destructive testing mean to be conducted on Boeing 737-400 skin panel rivet row aft ward fuselage. Project were conducted at University Kuala Lumpur Malaysian Institute of Aviation Technology (UNIKL MIAT). The purpose of this project is to determine percentage of material loss in between rivet row of Boeing 737-400 skin panel from BS 747 to BS 967, crack inspection on Boeing 737-400 skin panel rivet row aft ward fuselage and to analyses collected data for usability of rivet panel on Boeing from 737-400 BS 747 to BS 967. The result for the inspection carried out on the fuselage BS 747 to BS 967 shows that the subsurface has exceed 30% of material loss, crack has exceeded 0.2 inch and conductivity are not within limitation as per the Aerospace Material Specification AMS2658C. Such data for future references about its reference point data on the current state and condition of the aircraft were created and the aircraft require further investigation and possible repair need to be carried out to ensure safety for students and lecturer doing practical on the aircraft.
Keywords: Non-Destructive Testing (NDT), Defect Analysis, Skin Panel Rivet, Boeing.
Scope of the Article: Analysis of Algorithms and Computational Complexity