Aeronautical and Space-Rocket Engineering
Design, construction and manufacturing of flying vehicles
DOI: 10.34759/vst-2020-1-76-87
Аuthors
Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia
e-mail: saruvelli@gmail.com
Abstract
The purpose of the presented article consists in technique developing for optimal appearance determining of the gliding cargo parachute system at the early design stages according to the two optimality criteria, namely, lift-to-drag ratio and cost of the parachute system materials. These criteria reflect the facts that maximum flight range depends on the lift- to-drag ratio, and cost of materials minimization reflects the cost-effectiveness of the system. The lift- to-drag ratio to cost relationship forms the existence domain of the gliding parachute system, which facilitates the decision-making based on operation requirements and relative cost of the systems.
The problem of the optimal appearance determining is set as multidisciplinary multi-objective optimization problem based on MDF architecture and genetic algorithm. The algorithm is classified as a stochastic global search method in a mixed integer statement of the optimization problem.
As the result of the work, a technique for the optimal appearance determining of a gliding cargo parachute system at the early design stages according to the two performance criteria, namely, the lift-to- drag ratio and the cost of the parachute system materials, but with the possibility of changing and increasing the number of performance criteria, was developed.
The results of this work can be used in the parachute making industry when developing integrated computer-aided design (CAD) systems for gliding cargo parachute systems. The developed technique for the optimal appearance determining of gliding cargo parachute system can be used both in the design process of new parachute systems with improved characteristics, as well as for old structures modernization by redesigning individual elements of the system.
The technique was tested on the task of the appearance determining of the system for a payload weight of 135 kg. A comparison was made with one of several existing typical gliding cargo parachute systems of this class, which revealed that the optimized configuration of the parachute system was more cost- effective than those existing ones.
Keywords:
gliding parachute system, optimal appearance of parachute system, multi-disciplinary optimization of gliding parachute system, multicriteria of gliding parachute systemReferences
-
Wall M. SpaceX Now Has a 2nd Boat to Catch Rocket Payload Fairings Falling from Space. Space.com. 2019. URL: https://www.space.com/spacex-second-boat-catch-payload-fairings.html
-
Wall M. SpaceX Boat Snags Falling Payload Fairing in Historic First. Space.com. URL: https://www.space.com/spacex-boat-falcon-heavy-payload-fairing.html
-
Wall M. Rocket Lab Plans to Snag Falling Boosters with a Helicopter and Refly Them. Space.com. URL: https://www.space.com/rocket-lab-reuse-electron-boosters-helicopter.html
-
Lobanov N.A. Osnovy rascheta i konstruirovaniya parashyutov (Fundamentals of parachutes calculation and design), Moscow, Mashinostroenie, 1965, 362 p.
-
Stasevich R.A. Osnovy proektirovaniya i rascheta gruzovykh parashyutnykh system (Fundamentals of cargo parachute systems design and calculation), Leningrad, LVIKA im. A.F. Mozhaiskogo, 1969, 111 p.
-
Ewing E.G., Bixby H.W., Knacke T.W. Recovery Systems Design Guide. Technical Report AFFDU-TR- 78-151. California, US, 1978, 458 p.
-
Knacke T.W. Parachute Recovery Systems Design Manual. 1st ed. Santa Barbara, CA, Para Publishing, 1992, 506 p.
-
Lyalin V.V., Morozov V.I., Ponomarev A.T. Parashyutnye sistemy. Problemy i metody ikh resheniya (Parachute systems. Problems and methods for solution), Moscow, Fizmatlit, 2009, 576 p.
-
Rysev O.V., Ponomarev A.T., Vasil’ev M.I. et al. Parashyutnye sistemy (Parachute systems), Moscow, Nauka, 1996, 288 p.
-
Ivanov P.I. Proektirovanie, izgotovlenie i ispytaniya paraplanov: metodicheskoe rukovodstvo dlya razrabotchikov paraplanernykh sistem, konstruktorov i ispytatelei (Design, manufacture and testing of paragliders: a methodological guide for paraglider systems developers, designers and testers), Feodosiya, KP “Grand-S”, 2001, 256 p.
-
Lingard J.S. The Performance and Design of Ram-Air Gliding Parachutes. RAE Technical Report TR 81103. London, Procurement Executive, Ministry of Defense, 1981, 106 p.
-
Lingard J.S. Ram-Air parachute design. 13th AIAA Aerodynamic Decelerator Systems Technology Conference. Clearwater Beach, Florida, US, AIAA, 1995.
-
Yakimenko O.A. (ed.). Precision Aerial Delivery Systems: Modeling, Dynamics, and Control. Reston, VA, American Institute of Aeronautics and Astronautics, Inc., 2015, 948 p.
-
Sobieszczanski-Sobieski J., Morris A., Tooren M. Multidisciplinary Design Optimization Supported by Knowledge Based Engineering. Chichester, UK, John Wiley & Sons, Ltd, 2015, 393 p.
-
Martins J.R.R.A., Lambe A.B. Multidisciplinary Design Optimization: A Survey of Architectures. AIAA Journal, 2013, vol. 51, no. 9, pp. 2049–2075. DOI: 10.2514/1.J051895
-
Papalambros P.Y., Wilde D.J. Principles of optimal design: Modeling and computation. 2nd ed. Cambridge; New York, Cambridge University Press, 2000, 390 p.
-
Fasano G., Pinter J.D. Space Engineering: Modeling and Optimization with Case Studies. New York, Springer Science+Business Media, 2016, 487 p. DOI: 10.1007/ 978-3-319-41508-6
-
Deb K. Multi-Objective Optimization using Evolutionary Algorithms. New York, USA: John Wiley & Sons, 2001, 518 p.
-
Liu G.P., Yang J.B., Whidborne J.F. Multiobjective optimisation and control. Baldock, Hertfordshire, England/; Philadelphia, Pa, Research Studies Press, 2003, 320 p.
-
Romanova T.N., Paschenko O.B., Gavrilova N.Yu., Shchetinin G.A. Dynamic object multidisciplinary parameters optimization engineering method. Aerospace MAI Journal, 2016, vol. 23, no. 3, pp. 7-14.
-
Romanova T.N., Paschenko O.B., Gavrilova N.Yu., Shchetinin G.A. Maneuverable aircraft horizontal empennage configurations multidisciplinary optimization. Aerospace MAI Journal, 2016, vol. 23, no. 4, pp. 17-25.
-
Thedens P., Oliveira G., Schmehl R. Ram-air kite airfoil and reinforcements optimization for airborne wind energy applications. Wind Energy, 2019, vol. 22, no. 5, pp. 653-665. DOI: 10.1002/we.2313
-
Nosratollahi M., Ghapanvary M.A. A novel algorithm for conceptual design and optimisation of an affordable gliding airdrop platform using TCOMOGA. Aeronautical Journal, 2018, vol. 122, no. 1252, pp. 933-959. DOI: 10.1017/aer.2018.42
-
Jann T. Aerodynamic Coefficients for a Parafoil Wing with Arc Anhedral – Theoretical and Experimental Results. 17th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar (19-22 May 2003, Monterey, California, American Institute of Aeronautics and Astronautics). AIAA 2003-2106. DOI: 10.2514/6.2003-2106
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