تعداد نشریات | 161 |
تعداد شمارهها | 6,532 |
تعداد مقالات | 70,504 |
تعداد مشاهده مقاله | 124,122,466 |
تعداد دریافت فایل اصل مقاله | 97,230,387 |
Effect of different aero-structural optimization in the commercial airplane | ||
Journal of Computational Applied Mechanics | ||
دوره 54، شماره 2، شهریور 2023، صفحه 268-284 اصل مقاله (859.09 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jcamech.2023.355499.809 | ||
نویسندگان | ||
Amirfarhang Nikkhoo؛ Ali Esmaeili* | ||
Mechanical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Iran. | ||
چکیده | ||
Aircraft wing design using Multidisciplinary Design Optimization (MDO) techniques is a complex task that involves different disciplines, mainly aerodynamic and structure. This study develops and explores a coupled aero-structural multidisciplinary model that optimizes the performance of CRJ-700 aircraft, taking into account its path-dependent behavior. Two approaches, namely distributed and monolithic architectures, are available to achieve this aim. The decomposition strategies employed in these architectures differ and can significantly impact the design process. Therefore, comparing these methods can assist designers in understanding the design cost and accuracy of the results obtained. Eventually, optimizing the aircraft problem involved leveraging two methods: Multidisciplinary feasible (MDF) and Collaborative optimization (CO). Finally, the results obtained by two approaches; CO gives a high range value; MDF will be converged after 6013 times of the call function; but the number of call functions in the system-level of CO is around 4000 and the average of it for aerodynamic and structure optimizers are around 500 and 20, respectively. The range of the optimum wing of MDF approach raise about 41% and for CO approach raise about 66% compared to the baseline wing ranges. | ||
کلیدواژهها | ||
Multidisciplinary design optimization (MDO)؛ Multidisciplinary design feasible (MDF)؛ Collaborative Optimization (CO)؛ Aerodynamic forces؛ Shape optimization؛ Commercial airplane | ||
مراجع | ||
[1] Delgado HEC, Esmaeili A, Sousa JMM. Stereo PIV measurements of low-aspect-ratio low-reynolds-number wings with sinusoidal leading edges for improved computational modeling. 52nd AIAA Aerosp Sci Meet - AIAA Sci Technol Forum Expo SciTech, 2014.
[2] Najafian M, Esmaeili A, Nikkhoo A, et al. Numerical study of heat transfer and fluid flow of supercritical water in twisted spiral tubes. Vol. 44, pp. 6433–6455, 2022.
[3] Rabizadeh S, Esmaeili A. Hydro-optic interaction study on submerged unmanned underwater vehicles regarding to Snell’s window. Ocean Eng, Vol. 267, pp. 113224, 2023.
[4] Marques JGO, Costa AL, Pereira C. Thermodynamic study of a novel trigeneration process of hydrogen, electricity and desalinated water: The case of Na-O-H thermochemical cycle, SCWR nuclear power plant and MED desalination installation. Energy Convers Manag, Vol. 209, pp. 112648, 2020.
[5] Cai C, Zuo Z, Liu S, et al. Numerical investigations of hydrodynamic performance of hydrofoils with leading-edge protuberances. Adv Mech Eng, Vol. 7, pp. 1–11, 2015.
[6] Rostamzadeh N, Hansen KL, Kelso RM, et al. The formation mechanism and impact of streamwise vortices on NACA 0021 airfoil’s performance with undulating leading edge modification. Phys Fluids, Vol. 26, pp. 107101, 2014.
[7] Benaouali A, Kachel S. Multidisciplinary design optimization of aircraft wing using commercial software integration. Aerosp Sci Technol, Vol. 92, pp. 766–776, 2019.
[8] Aguado V. A vision for european aviation. Eurocontrol ACI Eur Press Conf January; 2018.
[9] Antoine NE, Kroo IM. Aircraft optimization for minimal environmental impact. 9th AIAA/ISSMO Symp Multidiscip Anal Optim. Epub ahead of print, 2002.
[10] John jasa. Multidisciplinary Design Optimization of an Aircraft Considering Path-Dependent Performance (Doctoral dissertation), 2020.
[11] Fujino M. Design and development of the HondaJet. J Aircr, Vol. 42, pp. 55–764, 2005.
[12] Crouch J. Boundary-Layer Transition Prediction for Laminar Flow Control (Invited). 45th AIAA Fluid Dyn Conf, 2015.
[13] Lynde MN, Campbell RL. Computational design and analysis of a transonic natural laminar flow wing for a wind tunnel model. 35th AIAA Appl Aerodyn Conf, 2017.
[14] Zhou HX, Liu B. Characteristics Analysis and Optimization of Flying-Wing Vehicle Structure. Adv Mater Res, Vol. 1077, pp. 177–184, 2014.
[15] Salinas MF, Botez RM, Gauthier G. New Validation Methodology of an Adaptive Wing for UAV S45 for Fuel Reduction and Climate Improvement. Appl Sci, Vol. 13, pp. 1799, 2023.
[16] May MS, Milz D, Looye G. Semi-Empirical Aerodynamic Modeling Approach for Tandem Tilt-Wing eVTOL Control Design Applications, 2023.
[17] Cunis T, Kolmanovsky I, Cesnik CES. Integrating Nonlinear Controllability into a Multidisciplinary Design Process. pp. 1–12, 2023.
[18] Nikkhoo A, Esmaeili A. Effect of amplitude and wavelength of the sinusoidal leading edge of the tubercled wing in post-stall condition. J Technol Aerosp Eng, 2023.
[19] Esmaeili A, Nikkhoo A. Investigation of Thickness, Camber and Maximum Proximity Effect on Infinite Wavy Wing. J Aeronaut Eng, Vol. 23, pp. 73–85, 2021.
[20] Esmaeili A, Delgado HE da C, Sousa JMM. Scavenging energy from aeroelastic vibrations for hybrid stall control in a fixed-wing micro aerial vehicle, 2022.
[21] Jabbari H, Ali E, Djavareshkian MH. Acoustic and phase portrait analysis of leading-edge roughness element on laminar separation bubbles at low Reynolds number flow, 2021.
[22] Jabbari H, Djavareshkian MH, Esmaeili A. Static roughness element effects on protuberance full-span wing at micro aerial vehicle application, 2021.
[23] Jabbari H, Esmaeili A, Rabizadeh S. Phase portrait analysis of laminar separation bubble and ground clearance interaction at critical (low) Reynolds number flow. Ocean Eng, Vol. 238, pp. 109731, 2021.
[24] Vassberg JC, DeHaan MA, Rivers SM, et al. Development of a common research model for applied CFD validation studies. Collect Tech Pap - AIAA Appl Aerodyn Conf, 2008.
[25] Chen S, Lyu Z, Kenway GKW, et al. Aerodynamic shape optimization of Common Research Model wing-body-tail configuration. J Aircr, Vol. 53, pp. 276–293, 2016.
[26] Asemi HR, Asemi SR, Farajpour A, et al. Nanoscale mass detection based on vibrating piezoelectric ultrathin films under thermo-electro-mechanical loads. Phys E Low-dimensional Syst Nanostructures, Vol. 68, pp. 112–122, 2015.
[27] Asemi SR, Farajpour A, Asemi HR, et al. Influence of initial stress on the vibration of double-piezoelectric-nanoplate systems with various boundary conditions using DQM. Phys E Low-dimensional Syst Nanostructures, Vol. 63, pp. 169–179, 2014.
[28] Asemi SR, Farajpour A, Mohammadi M. Nonlinear vibration analysis of piezoelectric nanoelectromechanical resonators based on nonlocal elasticity theory. Compos Struct, Vol. 116, pp. 703–712, 2014.
[29] Asemi SR, Mohammadi M, Farajpour A. A study on the nonlinear stability of orthotropic single-layered graphene sheet based on nonlocal elasticity theory. Lat Am J Solids Struct, Vol. 11, pp. 1541–1546, 2014.
[30] Baghani M, Mohammadi M, Farajpour A. Dynamic and Stability Analysis of the Rotating Nanobeam in a Nonuniform Magnetic Field Considering the Surface Energy, 2016.
[31] Danesh M, Farajpour A, Mohammadi M. Axial vibration analysis of a tapered nanorod based on nonlocal elasticity theory and differential quadrature method. Mech Res Commun, Vol. 39, pp. 23–27, 2012.
[32] Farajpour A, Danesh M, Mohammadi M. Buckling analysis of variable thickness nanoplates using nonlocal continuum mechanics. Phys E Low-dimensional Syst Nanostructures, Vol. 44, pp. 719–727, 2011.
[33] Ribeiro P, Chuaqui TRC. Non-linear modes of vibration of single-layer non-local graphene sheets. Int J Mech Sci, Vol. 150, pp. 727–743, 2019.
[34] Farajpour A, Mohammadi M, Shahidi AR, et al. Axisymmetric buckling of the circular graphene sheets with the nonlocal continuum plate model. Phys E Low-dimensional Syst Nanostructures, Vol. 43, pp. 1820–1825, 2011.
[35] Mohammadi M, Goodarzi M, Ghayour M, et al. Influence of in-plane pre-load on the vibration frequency of circular graphene sheet via nonlocal continuum theory. Compos Part B Eng, Vol. 51, pp. 121–129, 2013.
[36] Farajpour A, Hairi Yazdi MR, Rastgoo A, et al. Nonlocal nonlinear plate model for large amplitude vibration of magneto-electro-elastic nanoplates. Compos Struct, Vol. 140, pp. 323–336, 2016.
[37] Farajpour A, Rastgoo A, Mohammadi M. Surface effects on the mechanical characteristics of microtubule networks in living cells. Mech Res Commun, Vol. 57, pp. 18–26, 2014.
[38] Farajpour A, Rastgoo A, Mohammadi M. Vibration, buckling and smart control of microtubules using piezoelectric nanoshells under electric voltage in thermal environment. Phys B Condens Matter, Vol. 509, pp. 100–114, 2017.
[39] Farajpour A, Shahidi AR, Mohammadi M, et al. Buckling of orthotropic micro/nanoscale plates under linearly varying in-plane load via nonlocal continuum mechanics. Compos Struct, Vol. 94, pp. 1605–1615, 2012.
[40] Farajpour A, Yazdi MRH, Rastgoo A, et al. A higher-order nonlocal strain gradient plate model for buckling of orthotropic nanoplates in thermal environment. Acta Mech, Vol. 227, pp. 1849–1867, 2016.
[41] Farajpour MR, Rastgoo A, Farajpour A, et al. Vibration of piezoelectric nanofilm-based electromechanical sensors via higher-order non-local strain gradient theory. Micro Nano Lett, Vol. 11, pp. 302–307, 2016.
[42] Mohammadi M, Ghayour M, Farajpour A. Free transverse vibration analysis of circular and annular graphene sheets with various boundary conditions using the nonlocal continuum plate model. Compos Part B Eng, Vol. 45, pp. 32–42, 2013.
[43] Mohammadi M, Hosseini M, Shishesaz M, et al. Primary and secondary resonance analysis of porous functionally graded nanobeam resting on a nonlinear foundation subjected to mechanical and electrical loads. Eur J Mech - A/Solids, Vol. 77, pp. 103793, 2019.
[44] Sobieszczanski-Sobieski J, Haftka RT. Multidisciplinary aerospace design optimization: Survey of recent developments. 34th Aerosp Sci Meet Exhib, 1996.
[45] Cramer EJ, Dennis, Jr. JE, Frank PD, et al. Problem Formulation for Multidisciplinary Optimization. SIAM J Optim, Vol. 4, pp. 754–776, 1994.
[46] Antoine NE, Kroo IM. Framework for aircraft conceptual design and environmental performance studies. AIAA J, Vol. 43, pp. 2100–2109, 2005.
[47] Diedrich A, Hileman J, Tan D, et al. Multidisciplinary design and optimization of the silent aircraft. In: Collection of Technical Papers - 44th AIAA Aerospace Sciences Meeting, pp. 16083–16097, 2006.
[48] Abdul Kaiyoom, Mohamed Arshath Saja, Anil Yildirim and JRM. Coupled Aeropropulsive Design Optimization of an Over-Wing Nacelle Configuration. AIAA SCITECH Forum, pp. 0327, 2023.
[49] Werner-Westphal C, Heinze W, Horst P. Multidisciplinary integrated preliminary design applied to unconventional aircraft configurations. Journal of Aircraft, American Institute of Aeronautics and Astronautics Inc, pp. 581–590, 2008.
[50] Nikkhoo A, Taghinia G, Esmaeili A. Multidisciplinary design optimization of GIS UAV. 2nd Int Conf GIS Sci, 2023.
[51] LI S, WEI H, YUAN S, et al. Collaborative optimization design of process parameter and structural topology for laser additive manufacturing. Chinese J Aeronaut, Vol. 36, pp. 456–467, 2023.
[52] Meng D, Li Y, He C, et al. Multidisciplinary design for structural integrity using a collaborative optimization method based on adaptive surrogate modelling. Mater Des, Vol. 206, pp. 109789, 2021.
[53] Zadeh PM, Sayadi M, Kosari A. An efficient metamodel-based multi-objective multidisciplinary design optimization framework. Appl Soft Comput, Vol. 74, pp. 760–782, 2019.
[54] Lefebvre T, Bartoli N, Dubreuil S, et al. Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design. Prog Aerosp Sci, Vol. 119, pp. 100649, 2020.
[55] Kafyeke F, François Pépin, Cedric Kho. Development of high-lift systems for the Bombardier CRJ-700. ICAS 2002 Congr, pp. 1-10, 2002.
[56] Natalia M. Alexandrov and M. Yousuff Hussaini editors. Multidisciplinary Design Optimization: State of the Art, number 80 in Proceedings in Applied Mathematics Series. Soc for Industrial & Applied Math. ISBN: 0898713595, 1997
[57] Marta AC. Multidisciplinary design optimization of aircrafts. Técnico Lisboa- lecture series, 2015.
[58] Alexandrov NM, Lewis RM. Analytical and Computational Aspects of Collaborative Optimization for Multidisciplinary Design, Vol. 40, pp. 301–309, 2012.
[59] Bardell NS. A generalisation of the Breguet range equation for multiple payload drops. Aeronaut J Vol. 104, pp. 635–649, 2000.
[60] Ilić Č, Führer T, Banavara NN, et al. Comparison of breguet and ODE evaluation of the cruise mission segment in the context of high-fidelity aircraft MDO. Notes Numer Fluid Mech Multidiscip Des Vol. 132, pp. 87–97, 2016.
[61] Shin MK, Park GJ. Multidisciplinary design optimization based on independent subspaces. Int J Numer Methods Eng Vol. 64, pp. 599–617, 2005.
[62] Demiguel AV, Murray W. An analysis of collaborative optimization methods. 8th Symp Multidiscip Anal Optim. Epub ahead of print, 2000.
[63] Braun R, Gage P, Kroo I, et al. Implementation and performance issues in collaborative optimization. 6th Symp Multidiscip Anal Optim, pp. 295–305, 1996.
[64] Aigner B, van Gent I, La Rocca G, et al. Graph-based algorithms and data-driven documents for formulation and visualization of large MDO systems. CEAS Aeronaut J Vol. 9, pp. 695–709, 2018. | ||
آمار تعداد مشاهده مقاله: 461 تعداد دریافت فایل اصل مقاله: 606 |