A. S. Dalkılıç

Machine learning-based prediction of heat transfer characteristics in helically coiled tubes with corrugated walls

Helically coiled tubes with corrugated inner walls are commonly used in compact heat exchangers due to their superior heat transfer performance, enabled by secondary and swirl flows. However, predicting their thermal and hydraulic behavior across varying geometries and flow conditions is complex. This study employs m...

Chaotic Sech–Tanh dynamic opposition-based learning for metaheuristic optimization. Part I: strategy development and validation on benchmark and engineering design problems

Abstract Metaheuristic optimization algorithms frequently struggle to maintain an effective balance between exploration and exploitation, particularly on high-dimensional problems where premature convergence and reduced population diversity degrade performance. Opposition-based Learning (OBL) is a widely used remedy, y...

Two level stochastic planning approach for renewable energy sources and capacitors allocation in distribution network considering network reconfiguration