袋式除塵器論文基于CAE的袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化

1、袋式除塵器論文：基于CAE的袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化【中文摘要】多學(xué)科設(shè)計(jì)優(yōu)化技術(shù)(MDO)是針對復(fù)雜工程問題的優(yōu)化提出的一種方法,主要應(yīng)用在航空航天業(yè)的復(fù)雜產(chǎn)品的設(shè)計(jì)優(yōu)化問題上,并得到飛速的發(fā)展。目前,多學(xué)科計(jì)優(yōu)化已成為復(fù)雜產(chǎn)品設(shè)計(jì)的一個(gè)嶄新的發(fā)展方向,是許多國際學(xué)術(shù)會(huì)議討論的主題。本文對多學(xué)科設(shè)計(jì)優(yōu)化技術(shù)體系和方法應(yīng)用進(jìn)行了研究,并在此基礎(chǔ)上將多學(xué)科設(shè)計(jì)優(yōu)化技術(shù)和方法引入工業(yè)除塵設(shè)備設(shè)計(jì)領(lǐng)域,實(shí)現(xiàn)了袋式除塵器的多學(xué)科設(shè)計(jì)優(yōu)化,有效的提高了袋式除塵器的綜合性能。具體完成了如下工作：一、在對國內(nèi)外關(guān)于多學(xué)科設(shè)計(jì)優(yōu)化技術(shù)方法的理論及工程應(yīng)用的現(xiàn)狀、多學(xué)科設(shè)計(jì)優(yōu)化技術(shù)體系進(jìn)行調(diào)研的基礎(chǔ)上,論述了多

2、學(xué)科設(shè)計(jì)優(yōu)化技術(shù)體系的定義、組成及實(shí)質(zhì),對目前存在的多學(xué)科優(yōu)化算法及其流程、特點(diǎn)進(jìn)行了分析對比。二、分析了協(xié)同優(yōu)化的數(shù)學(xué)本質(zhì),建立協(xié)調(diào)優(yōu)化數(shù)學(xué)模型；對基于CEA技術(shù)的協(xié)同優(yōu)化框架的實(shí)現(xiàn)過程,引進(jìn)響應(yīng)面近似方法,建立了基于響應(yīng)面協(xié)同優(yōu)化算法數(shù)學(xué)模型,通過算例作了深入研究。三、針對袋式除塵器這一產(chǎn)品復(fù)雜結(jié)構(gòu),結(jié)合工程實(shí)際設(shè)計(jì)要求,確定計(jì)算區(qū)域,給出計(jì)算工況及相關(guān)假設(shè),建立了袋式除塵器基于響應(yīng)面協(xié)同優(yōu)化數(shù)學(xué)模型。對袋式除塵器多目標(biāo)進(jìn)行線性加權(quán)處理,構(gòu)建了袋式除塵器綜合性能評價(jià)函數(shù)。四、在CAE集成環(huán)境下實(shí)現(xiàn)了袋式除塵器的多學(xué)科設(shè)計(jì)優(yōu)化方法的計(jì)算框架,并成功將Gambit、Fluent及ANSYS等C

3、EA軟件進(jìn)行集成,建立了針對協(xié)同優(yōu)化特殊計(jì)算框架所需要并行計(jì)算的運(yùn)行環(huán)境；利用該設(shè)計(jì)優(yōu)化框架對袋式除塵器進(jìn)行了設(shè)計(jì)優(yōu)化,取得了良好的效果,為復(fù)雜工業(yè)產(chǎn)品設(shè)計(jì)提供了一種新的設(shè)計(jì)方法?！居⑽恼縈ultidisciplinary Design Optimization (MDO) is a method for optimization of complex engineering problems. Now,it is mainly used in complex product design optimization of aerospace industry,and rapid devel

4、oping. Currently, Multidisciplinary Design Optimization (MDO) has become a new direction for complex product design.In this paper, I research MDOs system and methods, on this basis,introduct it to industrial dust-removal equipment design,achieve MDO of bag filter, effectively improve the comprehensi

5、ve performance of bag filter.Specifically completed the following work:First, on the basis of the domestic and international scholars researching on MDOs theory of technical methods,engineering application status and system, I discuss the MDOs definition,composition and substance, Meanwhile, analyze

6、 and contrast MDOs algorithm, process, characteristic.Second, I analyze the mathematical nature of collaborative optimization and create mathematical model of collaborative optimization. On the process of achieving CEA-based collaborative optimization framework, I introduce response surface approxim

7、ation, establish collaborative optimization algorithm based on response surface and depth study by an example.Third, for bag filter such a complex structure, in combination with engineering design requirements, I determine the computational domain, propose calculation condition and underlying assump

8、tions, establish collaborative optimization algorithm based on response surface for bag filter. I execute linear weighting for bag filter multi-objective and establish comprehensive performance evaluation function.Fourth, I achieve the multi-disciplinary design optimization computational framework u

9、nder the CAE environment, successfully integrate Gambit, Fluent and ANSYS such as CEA software and establish parallel operating environment for collaborative optimization special computing framework. Making use of design optimization framework, I design and optimize the bag filter, achieve good resu

10、lts, provide a new design for design of complex industrial products.【關(guān)鍵詞】袋式除塵器 多學(xué)科設(shè)計(jì)優(yōu)化 協(xié)同優(yōu)化 多目標(biāo)【英文關(guān)鍵詞】bag filter Multidisciplinary Design Optimization collaborative optimization multi-objective【目錄】基于CAE的袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化摘要3-4ABSTRACT4第1章 引言7-171.1 課題研究背景及意義7-91.2 多學(xué)科設(shè)計(jì)優(yōu)化概述9-141.2.1 多學(xué)科設(shè)計(jì)優(yōu)化定義9-101.2.2 多學(xué)科

11、設(shè)計(jì)優(yōu)化發(fā)展歷史10-111.2.3 多學(xué)科設(shè)計(jì)優(yōu)化主要思想11-121.2.4 多學(xué)科設(shè)計(jì)優(yōu)化研究內(nèi)容12-131.2.5 多學(xué)科設(shè)計(jì)優(yōu)化算法介紹13-141.3 基于CAE多學(xué)科設(shè)計(jì)優(yōu)化實(shí)現(xiàn)14-161.4 本文主要研究內(nèi)容16-17第2章 袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化問題的數(shù)學(xué)模型17-262.1 袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化問題的數(shù)學(xué)描述及分析17-212.1.1 袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化問題的數(shù)學(xué)描述17-202.1.2 袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化問題分析20-212.2 袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化存在的困難21-222.3 袋式除塵器多學(xué)科設(shè)計(jì)優(yōu)化采用的近似方法22-252.4 本章小結(jié)25-

12、26第3章 袋式除塵器協(xié)同優(yōu)化算法研究26-413.1 袋式除塵器協(xié)同優(yōu)化的設(shè)計(jì)思想及數(shù)學(xué)模型26-303.1.1 協(xié)同優(yōu)化設(shè)計(jì)思想26-273.1.2 袋式除塵器協(xié)同優(yōu)化數(shù)學(xué)模型27-303.2 袋式除塵器協(xié)同優(yōu)化目標(biāo)函數(shù)確定30-373.2.1 權(quán)系數(shù)確定方法31-353.2.2 量綱換算方法353.2.3 袋式除塵器協(xié)同優(yōu)化方案確定35-373.3 袋式除塵器協(xié)同優(yōu)化算法的優(yōu)點(diǎn)37-383.4 袋式除塵器協(xié)同優(yōu)化算法存在的困難383.5 袋式除塵器基于響應(yīng)面協(xié)同優(yōu)化算法38-403.6 本章小結(jié)40-41第4章 基于CAE袋式除塵器協(xié)同優(yōu)化算法實(shí)現(xiàn)41-684.1 袋式除塵器計(jì)算結(jié)構(gòu)確定41-434.2 計(jì)算區(qū)域簡化434.3 計(jì)算工況及相關(guān)假設(shè)43-454.4 初始參數(shù)確定45-484.5 袋式除塵器結(jié)構(gòu)學(xué)科分析48-504.6 袋式除塵器流場學(xué)科分析50-554.6.1 袋式除塵器氣流分布均勻性評判標(biāo)準(zhǔn)50-514.6.2 袋式除塵器單袋室有限元模型建立51-534.6.3 袋式除塵器流場分析邊界條件確定及求解設(shè)置53-554.7 袋式除塵器協(xié)同優(yōu)化iSIGHT實(shí)現(xiàn)55-584.8 結(jié)果分析58