Optimal design and analysis of lubricating oil system in marine nuclear power based on adaptive genetic algorithm

Abstract

Lubricating oil system is one of the important auxiliary systems of marine nuclear power plants. It can play the role of reducing wear, cooling, cleaning, and sealing, to ensure the normal operation of the lubricating oil users. But the traditional design process of the lubricating oil system is complex and inefficient. Aiming at this shortcoming, a new design method for lubricating oil systems is proposed in this study based on the new hybrid genetic multi-objective optimization algorithm. The mathematical model of the lubricating oil system is developed on the basis of the model base established by SQL Server according to the actual equipment. The optimization algorithm is integrated into the design process so that the economic index and reliability index can be considered comprehensively. Through sensitivity analysis, the optimization parameters that have a great impact on the optimization objective are selected as optimization variables. Finally, two sets of optimization schemes are obtained. Scheme 1 is the optimal scheme of system weight and volume, and Scheme 2 is the optimal scheme of reliability. For the former, the weight and volume are optimized by 35.25% and 35.16%, respectively; for the latter, the reliability is optimized by 2.04%.