Multi-objective optimization of a regenerative rotorcraft powerplant: quantification of overall engine weight and fuel economy

Simple item page
dc.contributor.authorAli, Fakhre
dc.contributor.authorTzanidakis, Konstantinos
dc.contributor.authorGoulos, Ioannis
dc.contributor.authorPachidis, Vassilios
dc.contributor.authord'Ippolito, Roberto
dc.date.accessioned2017-07-25T13:27:34Z
dc.date.available2017-07-25T13:27:34Z
dc.date.issued2015-07-30
dc.description.abstractA computationally efficient and cost effective simulation framework has been implemented to perform design space exploration and multi-objective optimization for an advanced regenerative rotorcraft powerplant configuration at mission level. The proposed framework is developed by coupling a comprehensive rotorcraft mission analysis code with a design space exploration and optimization package. The overall approach is deployed to design and optimize the powerplant of a reference twin-engine light rotorcraft, modelled after the Bo105 helicopter, manufactured by Airbus Helicopters. Firstly, a sensitivity analysis of the regenerative engine is carried out to quantify the interrelationship between the engine thermodynamic cycle design parameters, engine weight, and overall mission fuel economy. Secondly, through the execution of a multi-objective optimization strategy, a Pareto front surface is constructed, quantifying the optimum trade-off between the fuel economy offered by a regenerative engine and the associated weight penalty. The optimum sets of cycle design parameters obtained from the structured Pareto front suggest that the employed heat exchanger effectiveness is the key design parameter affecting the engine weight and fuel efficiency. Furthermore, through quantification of the benefits suggested by the acquired Pareto front, it is shown that, the fuel economy offered by the simple cycle rotorcraft engine can be substantially improved with the implementation of regeneration technology, without degrading the payload-range and airworthiness (One- Engine-Inoperative) requirements of the rotorcraft.en_UK
dc.identifier.citationF. Ali, Konstantinos Tzanidakis, Ioannis Goulos, Pachidis, Vassilios and Roberto d'Ippolito. Multi-objective optimization of a regenerative rotorcraft powerplant: quantification of overall engine weight and fuel economy. Proceedings of the American Helicopter Society, 71st Annual Forum and Technology Display, 5-7 May 2015, Virginia Beach, Virginia, USA. pp2263-2279en_UK
dc.identifier.isbn9781510803787
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12234
dc.language.isoenen_UK
dc.publisherAmerican Helicopter Society (AHS)en_UK
dc.rightsPublished by American Helicopter Society. This is the Author Accepted Manuscript. This article may be used for personal use only. ISSN: 9781510803787. Please refer to any applicable publisher terms of use.
dc.titleMulti-objective optimization of a regenerative rotorcraft powerplant: quantification of overall engine weight and fuel economyen_UK
dc.typeConference paperen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Multi-objective_optimization_of_a_regenerative_rotocraft_powerplant-2015.pdf
Size:
1.47 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)