AIRCRAFT WING DESIGN THROUGH INTEGRATION OF OPENVSP AND ANSYS
Volume 3, Issue 1, Pp 5-8, 2025
DOI: https://doi.org/10.61784/msme3013
Author(s)
Wei Li
Affiliation(s)
School of Air Transportation, Shanghai University of Engineering Science, Shanghai 201620, China.
Corresponding Author
Wei Li
ABSTRACT
To address the challenge of balancing modeling efficiency and computational accuracy in traditional wing design, this paper proposes a collaborative optimization method based on OpenVSP parametric modeling and high-fidelity CFD analysis using ANSYS. A parametric wing model is created in OpenVSP, and aerodynamic performance simulations are conducted in ANSYS Workbench. Case studies show that this method reduces the time for a single design iteration to 3.5 hours while maintaining lift coefficient errors below 8%, achieving a 68% improvement in efficiency compared to conventional processes.
KEYWORDS
OpenVSP; ANSYS Fluent; Parametric modeling; Aerodynamic optimization; Co-simulation
CITE THIS PAPER
Wei Li. Aircraft wing design through integration of openvsp and ansys. Journal of Manufacturing Science and Mechanical Engineering. 2025, 3(1): 5-8. DOI: https://doi.org/10.61784/msme3013.
REFERENCES
[1] Athanasopoulos M, Ugail H, Castro GG. Parametric design of aircraft geometry using partial differential equations. Adv Eng Softw, 2009, 40(7): 479-86.
[2] Seitz A, Gologan C. Parametric design studies for propulsive fuselage aircraft concepts. CEAS Aeronautical Journal, 2014, 6(1): 69-82.
[3] Romate J. Accuracy and efficiency of a panel method for free surface flow problems in three dimensions. Mathematical and Computational Aspects, 1987.
[4] Marien F. Software testing: VSPAERO. Hamburg: Aircraft Design and Systems Group (AERO). Department of Automotive , 2021.
[5] Ramachandran P, Rajan S, Ramakrishna M. An accurate two-dimensional panel method. Seminar on advances in aerospace technologies, SAAT-2000, Aeronautical Society of India, 2000.
[6] Carrizales MA, Dussart G, Portapas V, et al. Verification of a low fidelity fast simulation framework through RANS simulations. CEAS Aeronautical Journal, 2019, 11(1): 161-76.
[7] Aliaga C, Zore K, Malk R, et al. RANS Mesh Adaption & WFLES Simulations for High Lift Configuration Aircraft. AIAA SCITECH 2025 Forum, 2025.
[8] Dwight RP. Efficiency improvements of RANS-based analysis and optimization using implicit and adjoint methods on unstructured grids: The University of Manchester (United Kingdom). 2006.
[9] Pasinato HD, Krumrick EA. Errors Characterization of a RANS Simulation. J Verif Valid Uncert, 2021, 6(2): 021001.
[10] Sahraoui M, Boutemedjet A, Mekadem M, et al. Automated Design Process of a Fixed Wing UAV Maximizing Endurance. J Appl Fluid Mech, 2024, 17(11): 2299-312.
[11] Yu JX, Wang XD, Chen JT, et al. Stochastic parameterized modeling for aerodynamic design of wind turbine airfoil. P I Mech Eng a-J Pow, 2022, 236(6): 1143-57.