基于最佳预后元模型的颗粒污垢特性全局敏感性分析  

Global sensitivity analysis for particulate fouling performance based on metamodel of optimal prognosis

作　　者：谢广烁 张斯亮 何松 肖娟[1] 王斯民[1] XIE Guangshuo;ZHANG Siliang;HE Song;XIAO Juan;WANG Simin(School of Chemical Engineering and Technology,Xi’an Jiaotong University,Xi’an 710049,Shaanxi,China;Lanpec Technologies Limited(Shanghai),Shanghai 201518,China)

机构地区：[1]西安交通大学化学工程与技术学院,陕西西安710049 [2]上海蓝滨石化设备有限责任公司,上海201518

出　　处：《化工进展》2024年第1期328-337,共10页Chemical Industry and Engineering Progress

基　　金：国家自然科学基金(22108216);中央高校基本科研业务费专项(xzy012022070)。

摘　　要：通过敏感性分析可识别出重要变量和无关变量,有效筛选数据降低模型复杂程度,并辅助优化设计。以内置转子传热管内的颗粒污垢为研究对象,采用欧拉-欧拉模型和颗粒污垢模型进行数值实验获取训练数据空间,基于最佳预后元模型开展全局敏感性分析,定量比较了颗粒直径、颗粒浓度、入口流速和入口温度的影响程度。对颗粒污垢四种沉积速率分析表明,入口温度对扩散沉积和热泳沉积的影响最显著,总影响分别为65.4%、58.6%;颗粒直径对湍流泳沉积和重力沉积的影响最明显,总影响分别为53.9%、75.0%。在此基础上,进一步分析了沉积率和污垢热阻的总影响、主影响及交互影响。结果表明:颗粒直径对沉积率和污垢热阻的影响均最大,总影响分别为52.7%、60.2%,各输入变量对沉积率和污垢热阻的交互影响的和分别为59.7%、42.5%,且随着四个输入变量的增加,沉积率和污垢热阻均增大。颗粒直径是影响内置转子传热管颗粒污垢问题的首要因素,在换热器设计中应予以重点考虑,其次是流体温度与流速。Sensitivity analysis can identify important and irrelevant variables,effectively filter the data to reduce the complexity of the model and assistant optimization design.In this paper,the particulate fouling in the heat transfer tube with an inserted rotor was taken as the research object,and the Eulerian-Eulerian model and the particulate fouling model were used to conduct numerical experiments to obtain the training data space.The global sensitivity analysis was carried out based on the metamodel of optimal prognosis,and the influence degree of particle diameter,particle concentration,inlet velocity,and inlet temperature was quantitatively compared.The analysis of four deposition rates showed that the inlet temperature had the most significant influence on diffusion deposition and thermophoretic deposition,and the total effects were 65.4%and 58.6%,respectively.The influence of particle diameter on turbulent flow deposition and gravity deposition was the most obvious,and the total effects were 53.9%and 75.0%,respectively.On this basis,the total,main,and interaction effects of deposition rate and fouling resistance were further analyzed.The results showed that particle diameter had the greatest influence on deposition rate and fouling resistance,and the total effects were 52.7%and 60.2%,respectively.The sum of interaction effects of each input variable on the deposition rate and the fouling thermal resistances were 59.7%and 42.5%,respectively.With the increase in the four input variables,both deposition rate and fouling resistance increased.In order to solve the fouling problem of a heat transfer tube with an inserted rotor,it was necessary to first consider reducing the particle diameter while controlling the fluid temperature and flow rate.

关 键 词：结垢 两相流 数值模拟 全局敏感性 元模型 

分 类 号：TK172[动力工程及工程热物理—热能工程]