Advanced International Journal for Research
E-ISSN: 3048-7641
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2025
Indexing Partners
Crash Over Ahmedabad: Engineering Lessons from a Tragedy
| Author(s) | Ahaan Makhija |
|---|---|
| Country | India |
| Abstract | On 12 June 2025, Air India Flight AI 171, a Boeing 787-8 Dreamliner, crashed shortly after take-off from Sardar Vallabhbhai Patel International Airport in Ahmedabad, India, marking the first fatal hull-loss incident involving this aircraft type. Preliminary findings from the Directorate General of Civil Aviation (DGCA) and the Aircraft Accident Investigation Bureau (AAIB) indicated a dual-engine shutdown caused by either a fuel-control logic fault or inadvertent human activation. This paper investigates the event through a systems-engineering and safety-analysis lens, synthesizing official reports, eyewitness accounts, and technical data to identify how concurrent mechanical, software, and human-interface failures culminated in the disaster. The analysis explores failure propagation in Full Authority Digital Engine Control (FADEC) systems, redundancy architecture, and fault isolation, while assessing how predictive maintenance and artificial intelligence could enhance anomaly detection and prevent recurrence. It also examines the integration of robotics and drones in post-crash investigations and simulation-based pilot training. Beyond its technical scope, the study emphasizes the ethical imperative of designing resilient systems that balance innovation with accountability. The findings highlight that future aerospace engineering must combine empirical rigor with human-centered design, ensuring that technological progress remains aligned with safety, empathy, and public trust. |
| Keywords | Air India Flight AI 171, Ahmedabad crash, aviation safety, fault detection, Full Authority Digital Engine Control (FADEC), predictive maintenance, human–machine interface, artificial intelligence, redundancy systems, drone-based investigation, ethical engineering |
| Field | Engineering |
| Published In | Volume 6, Issue 6, November-December 2025 |
| Published On | 2025-11-23 |
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E-ISSN 3048-7641
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AIJFR DOI prefix is
10.63363/aijfr
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