Akademik Veri Yönetim Sistemi
Aerospace Science and Technology, cilt.169, 2026 (SCI-Expanded, Scopus)
This study presents a novel multi-response optimization framework for enhancing the total aerodynamic performance (TAP) of a NACA 63(4)-421 airfoil via an advanced slot design. By integrating a Taguchi methodology with a fuzzy decision support system comprising a Rank Ordering Method (ROM) and Fuzzy Grey Relational Analysis (GRA) the investigation simultaneously addresses multiple key aerodynamic responses including lift coefficient (CL), drag coefficient (CD), and the lift to drag ratio (CL/CD). Comprehensive wind tunnel experiments, conducted over pre-stall, near-stall, and post-stall regimes, are coupled with Surface Oil Flow Visualization (SOFV) to capture detailed flow topology. Notably, Analysis of Variance (ANOVA) reveals that the slot angle and slot inlet position are the most influential parameters, contributing 48.59% and 39.35% respectively to TAP, while the slot width ratio and coanda radius contribute 2.32% and 9.75%. The optimized design achieves a striking 120.3% improvement in the maximum lift coefficient (CL,max) and a 1.3-fold enhancement in aerodynamic efficiency relative to the baseline (B1) configuration, while also delaying stall by 2°. This integrated experimental and fuzzy MCDM approach not only validates the effectiveness of the optimized slot configuration in suppressing undesirable vortex formation and enhancing flow reattachment but also sets a new paradigm for passive flow control (PFC) strategies in airfoil design. The methodology and findings have broad implications for aerospace and renewable energy applications where aerodynamic efficiency is crucial.