Abstract
Corrugated plate dryer is an important component in the steam-water separator reheater, and plays a key role in removing droplets from the steam. In order to improve the comprehensive performance of the double-hooked corrugated plate dryer, the computational fluid dynamics (CFD) software was used for numerical simulation. The effects of structural parameters on the performance of the dryer were studied. Based on the extreme gradient boosting algorithm (XGBoost), a prediction model of separation efficiency and pressure drop was established, and the non-dominated sorting genetic algorithms (NSGA-II) was used for multi-objective optimization design to improve the comprehensive performance of the dryer. It is found that the plate bend angle is the key factor affecting the separation efficiency and pressure drop. After multi-objective optimization, the pressure drop of the optimized structure is relatively reduced by 43.87 % and the separation efficiency is relatively increased by 2.81 % compared to the original structure.
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