This paper aims to present an integrated rotorcraft conceptual design and analysis framework, deployed for the multidisciplinary design and optimization of regenerative powerplant configurations in terms of rotorcraft operational and environmental performance. The proposed framework comprises a wide-range of individual modeling theories applicable to rotorcraft flight dynamics, gas turbine engine performance, and weight estimation as well as a novel physics-based, stirred reactor model for the rapid estimation of gas turbine gaseous emissions. A multi-objective particle swarm optimizer (mPSO) is coupled with the aforementioned integrated rotorcraft multidisciplinary design framework. The combined approach is applied to conduct multidisciplinary design and optimization of a reference twin engine light civil rotorcraft modeled after the Airbus-Helicopters Bo105 helicopter, operating on representative mission scenario. Through the implementation of a multi-objective optimization study, Pareto front models have been acquired, quantifying the optimum interrelationship between the mission fuel consumption and gaseous emissions for the representative rotorcraft and a variety of engine configurations. The acquired optimum engine configurations are subsequently deployed for the design of conceptual rotorcraft regenerative engines, targeting improved mission fuel economy, enhanced payload range capability, as well as improvements in the rotorcraft overall environmental impact. The proposed methodology essentially constitutes an enabler in terms of focusing the multidisciplinary design and optimization of rotorcraft powerplants within realistic, three-dimensional operations and toward the realization of their associated design trade-offs at mission level.

References

References
1.
Blewitt
,
S. J.
, 1978, “
Research Requirements to Reduce the Civil Helicopter Life Cycle Costs
,” NASA Technical Report, Report No. NASA D210-11278-1.
2.
Rosen
,
K. M.
,
2008
, “
A Prospective: The Importance of Propulsion Technology to the Development of Helicopter Systems With a Vision for the Future The 27th Alexander A. Nikolsky Lecture
,”
J. Am. Helicopter Soc.
,
53
(
4
), pp.
307
337
.10.4050/JAHS.53.307
3.
Sample
,
R. D.
,
1976
, “
Research Requirements for Development of Regenerative Engines for Helicopters
,” NASA Langley Research Center, Hampton, VA, Technical Report No. NASA CR-145112.
4.
Ohanian
,
O. J.
,
Gelhausen
,
P. A.
,
Entsminger
,
A. L.
,
Dunn
,
C. R.
, and
Sonnenburg
,
C. R.
,
2014
, “
Vehicle-Level Optimization of Rotorcraft Propulsion Systems
,”
American Helicopter Society
, 70th Annual Forum and Technology Display, Montreal, Canada, May 20–24.
5.
Advisory Council for Aeronautics Research in Europe Report,
2002
, “
Strategic Research Agenda
,” http://ec.europa.eu/research/transport/pdf/acare_strategic_research_en.pdf
6.
CleanSky,
2012
, “
Clean Sky Joint Technology Initiative (JTI)
,” http://www.cleansky.eu
7.
Wayne
,
J.
, and
Jeffery
,
S. D.
,
2009
, “
Rotorcraft Conceptual Design Environment
,”
3rd International Basic Research Conference on Rotorcraft Technology
, Nanjing, China, Oct. 14–16.
8.
Nagaraj
,
V. T.
, and
Inderjit
,
C.
,
2014
, “
Exploration of Novel Powerplant Architectures for Hybrid Electric Helicopters
,”
American Helicopter Society
, 70th Annual Forum and Technology Display, Montreal, Canada, May 20–24.
9.
Goulos
,
I.
,
2012
, “
Simulation Framework Development for the Multidisciplinary Optimization of Rotorcraft
,” Ph.D. thesis, Cranfield University, Cranfield, Bedfordshire, UK.
10.
Goulos
,
I.
,
Giannakakis
,
P.
,
Pachidis
,
V.
, and
Pilidis
,
P.
,
2013
, “
Mission Performance Simulation of Integrated Helicopter–Engine Systems Using an Aeroelastic Rotor Model
,”
ASME J. Eng. Gas Turbines Power
,
135
(
9
), p.
091201
.10.1115/1.4024869
11.
Ali
,
F.
,
Tzanidakis
,
K.
,
Goulos
,
I.
,
Pachidis
,
V.
, and
D'Ippolito
,
R.
,
2015
, “
Multidisciplinary Optimization of Conceptual Rotorcraft Powerplants for Operational Performance and Environmental Impact
,”
Aeronaut. J.
(submitted).
12.
NOESIS Solutions,
2012
, OPTIMUS REV 10.6 Manual, Leuven, Belgium.
13.
Tzanidakis
,
K.
,
Pachidis
,
V.
,
D'Ippolito
,
R.
, and
D'Auria
,
M.
,
2013
, “
Optimisation in a Multidisciplinary Environment—A Turbomachinery Application
,”
NAFEMS World Congress
, Salzburg, Austria, June 9–12.10.2514/6.2000-838
14.
Goulos
,
I.
,
Pachidis
,
V.
, and
Pilidis
,
P.
,
2014
, “
Lagrangian Formulation for the Rapid Estimation of Helicopter Rotor Blade Vibration Characteristics
,”
Aeronaut. J.
,
118
(
1206
), epub.
15.
European Organization for the Safety of Air Navigation (EUROCONTROL) and Institute of Geodesy and Navigation (IfEN),
1998
, WGS 84 Implementation Manual, EUROCONTROL, Brussels, Belgium.
16.
Goulos
,
I.
,
Pachidis
,
V.
, and
Pilidis
,
P.
,
2014
, “
Helicopter Rotor Blade Flexibility Simulation for Aeroelasticity and Flight Dynamics Applications
,”
J. Am. Helicopter Soc.
,
59
(
4
), pp. 1–16.10.4050/JAHS.59.042006
17.
Macmillan
,
W. L.
, 1974, “
Development of a Module Type Computer Program for the Calculation of Gas Turbine Off Design Performance
,” Ph.D. thesis, Cranfield University, Cranfield, Bedfordshire, UK.
18.
Goulos
,
I.
,
Ali
,
F.
,
Pachidis
,
V.
,
Tzanidakis
,
K.
, and
d'Ippolito
,
R.
, 2014, “
A Multidisciplinary Approach for the Comprehensive Assessment of Integrated Rotorcraft–Powerplant Systems at Mission Level
,”
ASME J. Eng. Gas Turbines Power
,
137
(
1
), p.
012603
.10.1115/1.4028181
19.
Iman
,
R. L.
,
2008
,
Latin Hypercube Sampling
,
Wiley
, New York.
20.
Wang
,
G. G.
, and
Shan
,
S.
,
2007
, “
Review of Metamodeling Techniques in Support of Engineering Design Optimization
,”
ASME J. Mech. Des.
,
129
(
4
), pp.
370
380
.10.1115/1.2429697
21.
Kleijnen
,
J. P.
, 2009, “
Kriging Metamodeling in Simulation: A Review
,”
Eur. J. Oper. Res.
,
192
(
3
), pp.
707
716
.10.1016/j.ejor.2007.10.013
22.
Deb
,
K.
, 1999, “
Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems
,”
Evol. Comput.
,
7
(
3
), pp.
205
230
.10.1162/evco.1999.7.3.205
23.
Jane's International Aero-Engines,
Aircraft Engines of the World
, Vol.
20
, Jane's Information Group, London, pp.
260
261
.
24.
Staley
,
J. A.
,
1976
, “
Validation of Rotorcraft Flight Simulation Program Through Correlation With Flight Data for Soft-In-Plane Hingeless Rotor
,” U.S. Army Air Mobility Research and Development Laboratory, Fort Eustis, VA, Report No. USAAMRDL-TR-75-50.
25.
Ali
,
F.
,
Goulos
,
I.
, and
Pachidis
,
V.
,
2015
, “
An Integrated Methodology to Assess the Operational and Environmental Performance of a Conceptual Regenerative Helicopter
,”
Aeronaut. J.
,
119
(
1211
), epub.
26.
Mattingly
,
J. D.
,
Heiser
,
W. H.
, and
Pratt
,
D. T.
,
2002
,
Aircraft Engine Design
,
2nd ed.
,
AIAA
, Reston,
VA
.
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