eISSN: 3087-4084 editor@aimjournals.com
All Journals
Submit your article

International Journal of Management and Business Development

Open Access Peer Review International
Open Access

Circular Economy in Aerospace: A Framework for End-of-Life Composite and Rare Metal Reclamation

DOI https://doi.org/10.55640/ijmbd-v02i09-01
PDF
Prof. Eleanor V. Hayes 1 , Dr. Kenji Tanaka 1 ,
4 Faculty of Sustainable Manufacturing, Zurich University of Technology, Zurich, Switzerland
4 Department of Environmental Systems, Tokyo Institute of Innovation, Tokyo, Japan

Abstract

The aerospace industry faces increasing pressure to transition from a linear "take-make-dispose" model to a circular economy. This shift is particularly challenging for end-of-life aircraft materials, where over 50% of retired assets are relegated to landfills or low-value recovery streams. This study addresses the critical gaps in recycling and reclamation processes, specifically for advanced composites like carbon-fiber reinforced polymers and rare metals such as titanium and cobalt. The paper proposes a comprehensive, multi-layered framework built upon a microservices-based architecture for end-of-life material traceability. This digital foundation integrates advanced analytics, AI, and industrial big data to automate and optimize material sorting and recovery. By creating a detailed technical blueprint for this system, the research demonstrates how a transparent, data-driven ecosystem can overcome current technological and logistical bottlenecks. The framework is designed to enhance material recovery rates, improve economic viability, and strengthen supply chain resilience. It concludes that while current technologies are insufficient, a combination of digital innovation, robust regulatory frameworks, and collaborative industry efforts is essential to scale recycling and reduce the industry's reliance on virgin raw materials, moving it toward a truly circular future.

Keywords

Circular Economy, Aerospace, Composites

References

Chavan, A. (2022). Importance of identifying and establishing context boundaries while migrating from monolith to microservices. Journal of Engineering and Applied Sciences Technology, 4, E168. https://doi.org/10.47363/JEAST/2022(4)E168
Chavan, A. (2023). Managing scalability and cost in microservices architecture: Balancing infinite scalability with financial constraints. Journal of Artificial Intelligence & Cloud Computing, 2, E264. https://doi.org/10.47363/JAICC/2023(2)E264
Chavan, A., & Romanov, Y. (2023). Managing scalability and cost in microservices architecture: Balancing infinite scalability with financial constraints. Journal of Artificial Intelligence & Cloud Computing, 5, E102. https://doi.org/10.47363/JMHC/2023(5)E102
Cristofaro, T. (2023). Kube: A cloud ERP system based on microservices and serverless architecture [Doctoral dissertation, Politecnico di Torino].
Dhanagari, M. R. (2024). MongoDB and data consistency: Bridging the gap between performance and reliability. Journal of Computer Science and Technology Studies, 6(2), 183-198. https://doi.org/10.32996/jcsts.2024.6.2.21
Dhanagari, M. R. (2024). Scaling with MongoDB: Solutions for handling big data in real-time. Journal of Computer Science and Technology Studies, 6(5), 246-264. https://doi.org/10.32996/jcsts.2024.6.5.20
Kandasubramanian, B. (2024). Sustainable approaches and advancements in the recycling and recovery of metals in batteries: A review. Hybrid Advances, 5, 100271.
Konneru, N. M. K. (2021). Integrating security into CI/CD pipelines: A DevSecOps approach with SAST, DAST, and SCA tools. International Journal of Science and Research Archive. https://ijsra.net/content/role-notification-scheduling-improving-patient
Kumar, A. (2019). The convergence of predictive analytics in driving business intelligence and enhancing DevOps efficiency. International Journal of Computational Engineering and Management, 6(6), 118-142. https://ijcem.in/wp-content/uploads/THE-CONVERGENCE-OF-PREDICTIVE-ANALYTICS-IN-DRIVING-BUSINESS-INTELLIGENCE-AND-ENHANCING-DEVOPS-EFFICIENCY.pdf
Malek, S., Medvidovic, N., & Mikic-Rakic, M. (2011). An extensible framework for improving a distributed software system's deployment architecture. IEEE Transactions on Software Engineering, 38(1), 73-100.

Most read articles by the same author(s)

<< < 1 2 3 4 5 6 7 8 > >> 

Similar Articles

You may also start an advanced similarity search for this article.