Parametric Optimization Study of Novel Winglets for Transonic Aircraft Wings

Author:

Padmanathan Panneerselvam1ORCID,Aswin Seenu1,Satheesh Anbalagan1ORCID,Kanna Parthasarathy Rajesh2ORCID,Palani Kuppusamy3ORCID,Devi Neelamegam Rajan4ORCID,Sobota Tomasz5ORCID,Taler Dawid5,Taler Jan6ORCID,Węglowski Bohdan6ORCID

Affiliation:

1. School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India

2. CO2 Research and Green Technologies Centre, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India

3. Department of Mechanical Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Enathur, Kanchipuram 631561, Tamil Nadu, India

4. Department of Physics, Auxilium College, Vellore 632006, Tamilnadu, India

5. Department of Thermal Processes, Air Protection and Waste Management, Cracow University of Technology, ul. Warszawska 24, 31-155 Cracow, Poland

6. Department of Energy, Cracow University of Technology, al. Jana Pawla II 37, 31-864 Cracow, Poland

Abstract

This paper deals with the topic of reducing drag force acting on aircraft wings by incorporating novel winglet designs, such as multi-tip, bird-type, and twisted. The high-speed NASA common research model (CRM) was selected as the baseline model, and winglet designs were retrofitted while keeping the projected wingspan constant. Computational analysis was performed using RANS coupled with the Spalart–Allmaras turbulence model to determine aerodynamic coefficients, such as CL and CD. It was observed that the multi-tip and bird-type designs performed exceptionally well at a low angle of attack (0°). A parametric study was conducted on multi-tip winglets by tweaking the parameters such as sweep angle (Λ), tip twist (Є), taper ratio (λ), and cant angle (Φ). The best combination of parameters for optimal aerodynamic performance while maintaining the wing root bending moment was determined using both the Taguchi method and Taguchi-based grey relational analysis (T-GRA) coupled with principal component analysis (PCA). Also, the percentage contribution of each parameter was determined by using the analysis of variance (ANOVA) method. At the design point, the optimized winglet design outperformed the baseline design by 18.29% in the Taguchi method and by 20.77% in the T-GRA coupled with the PCA method based on aerodynamic efficiency and wing root bending moment.

Publisher

MDPI AG

Reference49 articles.

1. Commercial aircraft performance improvement using winglets;Dulikravich;FME Trans.,2014

2. Whitcomb, R.T. (1976). A Design Approach and Selected Wind-Tunnel Results at High Subsonic Speeds for Wing-Tip Mounted Winglets.

3. Azmi, A.M., Taib, C.F.M., Kasolang, S., and Muhammad, F.H. (2011, January 6–8). CFD Analysis of Winglets at Low Subsonic Flow. Proceedings of the World Congress on Engineering, London, UK.

4. Winglet multi-objective shape optimization;Elham;Aerosp. Sci. Technol.,2014

5. Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique;Hossain;Aerosp. Sci. Technol.,2011

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