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<p>The aim of this study is to identify the optimum injection and suction locations for the Flip Co Flow Jet (FCFJ) mechanism to effectively delay boundary layer separation. Numerical simulations were conducted utilizing the Reynolds Averaged Navier Stokes (RANS) equations with the k-ω SST turbulence model to predict lift, drag, and pressure coefficients. The results prove that positioning suction at 20% of the chord and injection at 60% increases the stall margin by up to 33% and increases lift to 67% relative to the baseline airfoil under the same operating conditions. Compared to the conventional Co Flow jet (CFJ), which mainly enhances stall margin with limited lift gain, the FCFJ attains the substantial lift enhancement with moderate stall improvement. The novelty of this work is the implementation of the FCFJ method with optimized injection and suction locations for wind turbine applications to improve the performance.</p> Graphical Abstract <p></p>

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Study of optimum location to improve the performance of flip co-flow jet

  • 期刊论文

  • 发表日期：

    2026年1月23日

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  • Singh Anup Tejnarayan,
  • Balaji K

摘要

The aim of this study is to identify the optimum injection and suction locations for the Flip Co Flow Jet (FCFJ) mechanism to effectively delay boundary layer separation. Numerical simulations were conducted utilizing the Reynolds Averaged Navier Stokes (RANS) equations with the k-ω SST turbulence model to predict lift, drag, and pressure coefficients. The results prove that positioning suction at 20% of the chord and injection at 60% increases the stall margin by up to 33% and increases lift to 67% relative to the baseline airfoil under the same operating conditions. Compared to the conventional Co Flow jet (CFJ), which mainly enhances stall margin with limited lift gain, the FCFJ attains the substantial lift enhancement with moderate stall improvement. The novelty of this work is the implementation of the FCFJ method with optimized injection and suction locations for wind turbine applications to improve the performance.

Graphical Abstract