Comprehensive Analysis on the Contribution of Winglets Fuel Based on Contrast Experiment
Authors
Yueli Sun, Jingjie Chen, Jincheng Cui, Qi Meng, Ziheng Xing
Corresponding Author
Yueli Sun
Available Online May 2017.
- DOI
- 10.2991/ammsa-17.2017.57How to use a DOI?
- Keywords
- fuel consumption; winglet; statistical analysis; BP neural network
- Abstract
Previous research has shown that aviation fuel costs are the first major cost of air operations, and it is a key factor in profit and loss. In the operating environment under the combined effects of many factors, regardless of operating costs breakeven only to calculate the critical point of save fuel is challenging. This paper is to build fuel consumption mode based on comparative experiments and based on statistical analysis and BP neural network analysis. The model considers the main influence parameters including flight time, payload and so on. The results show that the installation of the winglets under given actual payload and flight time makes the fuel consumption increase.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yueli Sun AU - Jingjie Chen AU - Jincheng Cui AU - Qi Meng AU - Ziheng Xing PY - 2017/05 DA - 2017/05 TI - Comprehensive Analysis on the Contribution of Winglets Fuel Based on Contrast Experiment BT - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017) PB - Atlantis Press SP - 256 EP - 260 SN - 1951-6851 UR - https://doi.org/10.2991/ammsa-17.2017.57 DO - 10.2991/ammsa-17.2017.57 ID - Sun2017/05 ER -