摘要
为优化单钩型波形板气液分离器的分离性能,本文基于有限容积法(FVM),支持向量机理论(SVM)和多目标遗传算法(GA)建立了分离器分离效率与压降关于结构参数的回归预测模型和优化计算模型。基于此,分析了几何参数与运行参数对分离器分离效率和压降的影响规律,在此基础上对分离器关键结构参数进行了优化与设计。参数分析结果表明,分离器分离效率与压降随钩板占据流道面积和气流速度的增大而增大。结构参数优化研究表明,该优化计算模型可有效提高单钩型波形板气液分离器的分离性能;同时,本文的优化设计方法也可以推广到其他类型的气液分离器的优化与设计中去。
To optimize the performance of the corrugated plates separator with single scoop,prediction models,for removal efficiency and pressure drop concerning about the structural parameters,were established based on the Finite Volume Method and Support Vector Machine.And optimizing model was established by Genetic Algorithm.Based on these models,firstly,the effects of geometrical parameters and operating parameters on the removal efficiency and pressure drop of the separator were analyzed.Then,the major structural parameters were optimized and designed.The analysis of parameters shows that both removal efficiency and pressure drop increase with the increasing scoop occupied flow area and gas velocity.The structural optimizing research shows that the performance of the separator can be obviously improved by the optimizing model.In addition,the optimization method presented for the corrugated plates separator with single scoop can also be used to optimize the performance of other types of separator.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2016年第4期796-802,共7页
Journal of Engineering Thermophysics
基金
国家自然科学基金项目(No.51476125)
广东省科技计划项目(No.2013B090200046)
关键词
单钩型波形板气液分离器
均匀试验设计
支持向量机
多目标优化遗传算法
参数优化
corrugated plates separator with single scoop
uniform design experimentation
support vector machine
genetic algorithm
parameter optimization
