BOEING 787 Model Daha Elektrikli Uçak Sistem Yenilikleri ve Araştırılan Sorunları
Abstract
In recent years, MEA technology has brought about developments in the field of power electronics, fault-tolerant architecture, electro-hydrostatic actuators, flight control systems, high-density electric motors, power generation and conversion systems. Non-propulsive systems in traditional aircraft systems, ıt is powered by a combination of different secondary power sources such as hydraulic, pneumatic, mechanical and electrical while the more electric aircraft (MEA) concept ensures the use of optimum electrical power for all non-propellant systems.
The goal of future aircraft technology is to replace the majority of non-electrical power-using systems, such as environmental control and engine starting, with electrical systems to improve various aircraft characteristics such as efficiency, emissions, reliability and maintenance costs. B787 series aircraft, the first civil aircraft with more electric aircraft features of modern times, ıt features composite fuselage and wing profiles, fly-by-wire flight controls, advanced cockpit and General Electric or Rolls-Royce engines. Different from previous designs, Boeing has minimized the use of air from the engines in the B787 technology and makes extensive use of electrically powered systems instead of traditional pneumatically powered systems. B787 new generation passenger aircraft, ıt is anticipated that significant improvements such as aircraft weight, fuel consumption, total life cycle costs, carbon neutrality, ease of maintenance and aircraft reliability will reduce the effects of adverse environmental conditions.
In this study, the system innovations of the B787 aircraft model, which is a more electric aircraft concept and introduces different testing and working methods throughout the design process, and the problems caused by the new systems were investigated.
References
- 1.Boeing 787-8 Critical Systems Review Team. (2014), Boeing 787-8 design, certification, and manufacturing systems review. Washington ,D. C.: Federal Aviation Administration.
- 2.Moir, I., Seabridge, A. (2008), Aircraft Systems: Mechanical, Electrical, and Avionics Subsystems Integration, John Wiley & Sons., 3rd. Ed. Ch-5, pp. 271-274, 536.
- 3.Gaynor, G. H., (2015), Decisions: An Engineering and Management Perspective, Wiley-IEEE Press, 1st edition, pp. 320.
- 4.Karimi, K. J., (2007), Future aircraft power systems-integration challenges. The Boeing Company.
- 5.Tang, C. S., Zimmerman, J. D., Nelson, J. I..(2009), Managing new product development and supply chain risks: the Boeing 787 case. Supply Chain Forum: An International Journal, 10 (2), 74-86.
- 6.Pandian, G., Pecht, M., Zio, E., Hodkiewicz, M. (2020), Data-driven reliability analysis of Boeing 787 Dreamliner. Chinese Journal.of Aeronaut. 33 (7), 1969–1979.
- 7.Gözüküçük, N.T. (2023), IDG’nin Benzetim Yöntemleri Kullanilarak Modellenmesi, Erciyes Üniversitesi Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, Kayseri, Türkiye.
- 8.Gözüküçük, N.T. (2023), Daha Elektrikli Ve Tamamen Elektrikli Uçaklarda Güç Dağıtım Sistemlerine Genel Bakış. 3. International Antalya Scientific Research and Innovative Studies Congress, February 13-14, Antalya, Türkiye, 299-308.
Gözüküçük, N. T. (2023). BOEING 787 Model Daha Elektrikli Uçak Sistem Yenilikleri ve Araştırılan Sorunları. *Orclever Proceedings of Research and Development*, 3(1), 458-468. https://doi.org/10.56038/oprd.v3i1.402
Bibliographic Info
More from Orclever Proceedings of Research and Development
Single-Bath Dyeing of Blends of Cotton Fibers with New Generation Polyacrylonitrile Fibers with Reactive Dye in Line with the Target of Sustainable Production
Yıldıray Fatih Dilsiz, Seda Keskin, Rıza Atav
2025 · Vol 7 · Issue 1
The Green Step Upper: A Novel Sustainable Bonding Method Replacing Solvent-Based Adhesives in Footwear Upper Assembly
Baris Bekiroglu, Mustafa Yener
2025 · Vol 7 · Issue 1
Innovative Technological Strategies to Enhance Bioavailability in Germinated Grains
Ebru Bozkurt Abdik
2025 · Vol 7 · Issue 1
Graph-Based Customer Segmentation with GraphSAGE on a Customer–Vehicle Bipartite Network
Abdullah Sezdi, Metin Bilgin
2025 · Vol 7 · Issue 1
Natural Language Processing-Based Layered Reconciliation System for Financial Transaction Analysis
Dilara Hazırlar, Özlem Avcı, Mesut Tekir
2025 · Vol 7 · Issue 1
An Integrated Deep Learning Framework for Automated Quality Control and Process Optimization in Slasher Indigo Dyeing
Mohammad Muttaqi, Gizem Daskaya, Kerem Cakir
2025 · Vol 7 · Issue 1