Numerical Analysis of Lift Coefficients for NACA 4412 Airfoil Across Different Angles of Attack
Neloy Kumar Das1, Arup Das2, Syeda Tanjila Sarwar3
1Neloy Kumar Das, Department of Mechanical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
2Arup Das, Lecturer, Department of Mechanical Engineering, Military Institute of Science and Technology (MIST), Dhaka, Bangladesh.
3Syeda Tanjila Sarwar, Department of Mechanical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Manuscript received on 12 April 2025 | First Revised Manuscript received on 19 April 2025 | Second Revised Manuscript received on 01 May 2025 | Manuscript Accepted on 15 May 2025 | Manuscript published on 30 May 2025 | PP: 9-13 | Volume-12 Issue-5, May 2025 | Retrieval Number: 100.1/ijies.A823314010525 | DOI: 10.35940/ijies.A8233.12050525
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The accurate prediction of aerodynamic performance is critical for the design and optimization of airfoils used in aerospace, automotive, and renewable energy applications. This study focuses on evaluating and comparing the lift coefficients of the NACA 4412 airfoil using three distinct methodologies: CFD, wind tunnel experimentation, and the Panel method. The primary objective is to assess the accuracy and limitations of each technique in capturing the aerodynamic characteristics of the airfoil. CFD simulations were conducted using ANSYS FLUENT, applying a steady-state, incompressible flow model with appropriate turbulence modeling to capture flow behavior across a range of angles of attack. Experimental validation was performed in a controlled wind tunnel environment to generate benchmark data. Additionally, the Panel method analysis was executed using XFOIL, a commonly used inviscid flow solver known for its computational efficiency. The results demonstrate a strong agreement between CFD simulations and experimental data, particularly in predicting lift coefficients at moderate angles of attack. In contrast, XFOIL consistently overestimated lift values, especially at higher angles, due to its inability to accurately model flow separation and viscous effects. This discrepancy highlights the inherent limitations of potential flow methods when applied to complex flow regimes. By systematically comparing these approaches, the study emphasizes the critical need for highfidelity numerical or experimental validation when assessing airfoil performance. The findings advocate for a cautious application of simplified methods like the Panel method in preliminary design stages and reinforce the role of CFD as a reliable tool in aerodynamic analysis. This work contributes to the ongoing refinement of predictive tools for airfoil design, ensuring more accurate performance assessments in real-world applications.
Keywords: Airfoil optimization, Aerodynamic performance, XFOIL, CFD, NACA 4412.
Scope of the Article: Mechanical Engineering and Applications