The growth of commercial air transport arguably translates into more aging passenger aircraft queuing up for major maintenance, modifications, and/or freighter conversion with the aircraft maintenance industry. In the competitive business environment, this increased maintenance demand possesses the potential to stress the industry and make safety vulnerable. In the aircraft maintenance industry, several aircraft accidents and incidents have resulted from organizational failure to learn from the past. To address this chronic problem, this study aims to (a) establish a learning process model for the aircraft maintenance industry, (b) identify the factors that influence learning, and (c) determine the effect of identified factors on learning from the past. A review of scholarly articles and regulatory publications enabled the development of learning from the past process model and a data collection tool, followed by structural equation modeling to quantify the relationship among influencing factors. The study was conducted in the Indian aircraft maintenance environment and is based on the perspective of the front-line maintenance staff. The study found that safety communication is the decisive stage for learning from the past. Contextualization of the safety information and evaluating the lessons learned during safety communication strongly impact learning from the past, for which existing regulatory provisions are vulnerable. The findings of this study are meant to assist State regulators and management of the aircraft maintenance industry; nevertheless, safety managers and practitioners in other ultra-safe, high-risk sectors may also apply the results in compliance with the respective regulatory guidelines.
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http://dx.doi.org/10.1016/j.heliyon.2023.e21620 | DOI Listing |
Sensors (Basel)
December 2024
Department of Industrial Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.
Turbomachinery engines face significant failure risks due to the combination of thermal loads and high-amplitude vibrations in turbine and compressor blades. Accurate stress distribution measurements are critical for enhancing the performance and safety of these systems. Blade tip timing (BTT) has emerged as an advanced alternative to traditional measurement methods, capturing blade dynamics by detecting deviations in blade tip arrival times through sensors mounted on the stator casing.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechatronic Engineering, Xi'an Technology University, No.2 Xuefuzhonglu Road, Weiyang District, Xi'an 710021, China.
Aero-engines, particularly turbofan engines, are highly complex systems that play a critical role in the aviation industry. As core components of modern aircraft, they provide the thrust necessary for flight and are essential for safe and efficient operations. However, the complexity and interconnected nature of these engines also make them vulnerable to failures and, in the context of intelligent systems, potential cyber-attacks.
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December 2024
Research Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
The aircraft smart skin (ASS) with structural health monitoring capabilities is a promising technology. It enables the real-time acquisition of the aircraft's structural health status and service environment, thereby improving the performance of the aircraft and ensuring the safety of its operation, which in turn reduces maintenance costs. In this paper, a miniaturized and ultra-low-power wireless multi-parameter monitoring system (WMPMS) for ASS is developed, which is capable of monitoring multiple parameters of an aircraft, including random impact events, vibration, temperature, humidity, and air pressure.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Advanced Engineering Materials and Composite Research Centre (AEMC), Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
The aim of this study was to investigate the potential of Waru bark fiber (WBF) as a reinforcement material for composites. To achieve this aim, WBF was extracted using a conventional process, to ensure its purity, and then characterized for physical, mechanical, chemical, and thermal properties. Microstructure analysis was performed using Scanning Electron Microscope (SEM) to show uniform and exceptional fiber sheets with naturally woven fiber shapes.
View Article and Find Full Text PDFJ Microencapsul
December 2024
Department of Aircraft Airframe Engine Maintenance, Kapadokya University, Nevşehir, Turkey.
This study aimed to develop silver nanoparticles embedded in poly(ricinoleic acid)-poly(methyl methacrylate)-poly(ethylene glycol) (AgNPsPRici-PMMA-PEG) nanoparticles (NPs) containing caffeic acid (Caff) and tetracycline hydrochloride (TCH) for treating infections and cancer in bone defects. The block copolymers were synthesised via free radical polymerisation. NPs were prepared using the solvent evaporation method and characterised by FTIR, HNMR, SEM, DSC, TGA, and DLS.
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