基于遗传算法的超低温截止阀密封结构优化

Based on Genetic Algorithm Optimization of Ultra-Low Temperature Globe Valve Sealing Structure

以液化天然气船船用超低温截止阀为对象,首先运用ANSYS软件建立有限元模型,对其实际工况进行数值模拟。得到阀体的整体变形、应力和密封比压情况,然后基于非线性接触理论,推导出密封面接触应力和弹性接触变形公式,并进行单因素影响分析。最后利用遗传算法,对密封结构进行优化,并利用有限元仿真验证,可知优化后结构密封性能大大提高,为后续该类型阀门密封结构设计奠定了基础。

Liquefied natural gasmarine marine ultra-low temperature globe valve as the object,and firstly uses ANSYS software to establish a finite element model to numerically simulate its actual working conditions.The overall deformation,stress and sealing specific pressure of the valve body are obtained,and then based on the nonlinear contact theory,the equations of contact stress and elastic contact deformation of the sealing surface are derived and single-factor influence analysis is performed.Finally,using genetic algorithm,the sealing structure is optimized and verified by finite element simulation.It can be seen that the sealing performance of the optimized structure is greatly improved,which lays the foundation for the subsequent design of the sealing structure of this type of valve.