scholarly journals The influence of weight on fuel consumption and range for a turboprop medium courier aircraft

2021 ◽  
Vol 13 (4) ◽  
pp. 181-193
Author(s):  
Marius-Alexandru VOICU ◽  
Ion FUIOREA

Performance in the en route phase can be measured using the range and endurance parameters of the airplane. The range is a more useful performance parameter than endurance and one that aircraft designers are constantly trying to improve. While endurance refers to airborne time, the range is more concerned with distance covered and is therefore sometimes referred to as fuel mileage. In most cases, the trade-off between range and payload is achieved at the initial purchase of the aircraft and, subsequently during in-flight planning.

2017 ◽  
Vol 51 (1) ◽  
pp. 88-111 ◽  
Author(s):  
Lavanya Marla ◽  
Bo Vaaben ◽  
Cynthia Barnhart

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Ferhat Uçan ◽  
D. Turgay Altılar

Navigation planning can be considered as a combination of searching and executing the most convenient flight path from an initial waypoint to a destination waypoint. Generally the aim is to follow the flight path, which provides minimum fuel consumption for the air vehicle. For dynamic environments, constraints change dynamically during flight. This is a special case of dynamic path planning. As the main concern of this paper is flight planning, the conditions and objectives that are most probable to be used in navigation problem are considered. In this paper, the genetic algorithm solution of the dynamic flight planning problem is explained. The evolutionary dynamic navigation planning algorithm is developed for compensating the existing deficiencies of the other approaches. The existing fully dynamic algorithms process unit changes to topology one modification at a time, but when there are several such operations occurring in the environment simultaneously, the algorithms are quite inefficient. The proposed algorithm may respond to the concurrent constraint updates in a shorter time for dynamic environment. The most secure navigation of the air vehicle is planned and executed so that the fuel consumption is minimum.


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