Enhancing thermal transfer in airfoil structures through advanced simulation techniques and MOPSO optimization

Abstract

This research employs advanced simulation techniques by integrating Python, CAD, ANSYS Fluent, and other execution programs, to optimize the thermal transfer performance of an airfoil structure. The study involves a design of experiments (DOE) analysis employing optimal Latin hypercube (OLH) sampling to study the influence of airfoil structural parameters on Nu, f, and comprehensive heat index (CHI). Subsequently, multi-objective particle swarm optimization (MOPSO) is applied, resulting in a remarkable 93.4% increase in CHI, elevating it from 101.13 to 195.61. Experimental validation of the optimized airfoil structure demonstrates close agreement with simulated results, affirming the reliability of our numerical simulations. The results establish the superior heatexchange capabilities of the optimized airfoil structure over the unoptimized reference airfoil and the traditional circular structure. This research contributes significantly to the structural optimization of heat exchange equipment, particularly for configurations characterized by substantial height-to-diameter ratios.

Keywords:

• Airfoil structure analysis
• design of experiments (DOE)
• Insight software simulation
• multi-objective particle swarm optimization (MOPSO)

Disclosure statement

No potential conflict of interest was reported by the authors.