本文關鍵詞：基于群體智能優(yōu)化理論的輻射換熱腔體幾何反設計　出處：《哈爾濱工業(yè)大學》2015年碩士論文　論文類型：學位論文

  更多相關文章： 幾何反設計 磷蝦群算法 微粒群優(yōu)化算法 輻射換熱 群體智能優(yōu)化算法

【摘要】：輻射換熱設備廣泛存在于工業(yè)鍋爐、紅外反射爐、材料加工成型等多種工業(yè)領域,腔體設計的合理與否直接影響到安全問題。幾何反設計是近些年新興的一種設計方法,基本思路是首先根據設計要求建立相應的目標函數,然后采用優(yōu)化方法對其優(yōu)化,最終達到設計目的。反設計方法具有過程簡單、設計周期短、求解精度高等優(yōu)點,因而得到越來越廣泛的關注和應用。目前輻射腔體的幾何反設計多采用基于對目標函數求導的方法,這類方法具有收斂速度快、結果穩(wěn)定性好等優(yōu)點,但其梯度求解過程繁瑣復雜,而且對初值依賴性較大。群體智能優(yōu)化算法隨機地從某一個解出發(fā),然后根據相應算法的搜尋原則,尋找下一個使目標函數更小的解,逐步搜索直至得到最優(yōu)解,這種求解方式邏輯簡單,易于編程實現,而且算法本身具有并行性、自組織性、靈活性等優(yōu)點,因而越來越得到人們的重視。本文基于群體智能優(yōu)化理論求解了二維輻射換熱腔體的幾何反設計問題,主要研究內容包括以下幾個方面:(1)采用貼體坐標系下離散坐標法求解不規(guī)則幾何形狀介質內的輻射換熱問題,并與有限體積法計算結果進行對比,驗證正問題模型計算程序的可靠性,根據求得的邊界熱流密度建立相應的目標函數。(2)概述群體智能優(yōu)化算法的主要特點及其分類,簡單介紹群搜索方法、人工魚群算法、蟻群優(yōu)化算法以及蛙跳算法等四種常見群體智能優(yōu)化算法的求解基本思路,并重點闡述磷蝦群算法和微粒群優(yōu)化算法的基本原理及其求解過程,為后續(xù)幾何反設計研究提供理論支撐。(3)分別采用磷蝦群算法、標準微粒群優(yōu)化算法和隨機微粒群優(yōu)化算法求解輻射換熱腔體幾何反設計問題,通過幾何優(yōu)化,達到設計表面指定區(qū)域熱流密度均勻分布的設計目的,并比較了三種求解方法在輻射腔體幾何反設計問題中的計算性能;分析了幾何反設計中設計表面控制點數量、介質物性及邊界黑度等參數對設計結果的影響。
[Abstract]:Radiant heat exchanger widely exists in many industrial fields, such as industrial boiler, infrared reflector, material processing and molding. Whether the cavity design is reasonable or not directly affects the safety problem. Geometric inverse design is a new design method in recent years. The basic idea is to set up the corresponding objective function according to the design requirements, and then use the optimization method to optimize it, and ultimately achieve the purpose of design. The anti design method has the advantages of simple process, short period of design and high precision of solving, so it has been paid more and more attention and application. At present, the geometric inverse design of radiation cavities is based on the derivation method of objective function. This method has the advantages of fast convergence and good stability, but its gradient solution is complicated and complex, and it depends on initial value. Swarm intelligence optimization algorithm randomly from the point of view of a solution, and then according to the principle of the corresponding search algorithm, to find a better solution to search until the optimal solution, this solution logic is simple, easy in programming, and the algorithm has the advantages of self organization, parallelism and flexibility therefore, more and more people's attention. The geometry of swarm intelligence optimization theory to solve the two-dimensional heat radiation cavity based on inverse design problems, the main research contents include the following aspects: (1) using body fitted coordinates discrete coordinate method of irregular geometry solving radiation heat transfer problems in medium, and the results are compared with the finite volume method, reliability calculation program verification is the problem of model, according to heat flux boundary obtained the corresponding objective function is established. (2) an overview of swarm intelligence optimization algorithm the main characteristics and classification, introduces the swarm search method, artificial fish swarm algorithm, ant colony optimization algorithm and SFLA four kinds of swarm intelligence optimization algorithm for solving the basic ideas, and focuses on the krill swarm algorithm and particle swarm optimization algorithm is the basic principle and solving process, theory support for the subsequent research of inverse geometry design. (3) using krill swarm algorithm and standard particle swarm optimization algorithm and stochastic particle swarm optimization algorithm for solving radiative heat transfer cavity geometry inverse design problem, the geometric optimization, achieve the goal of the design design of surface heat flux distribution of the designated area, and compare the three method calculation of performance in the radiation cavity inverse geometry design problems the analysis of the influence of inverse geometry design; design of surface control point number, dielectric properties and boundary emissivity parameters on the design results.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TK172

【參考文獻】

相關期刊論文 前2條

1 劉林華,余其錚,阮立明,談和平;求解輻射傳遞方程的離散坐標法[J];計算物理;1998年03期

2 談和平;劉林華;易紅亮;趙軍明;齊宏;譚建宇;;計算熱輻射學的進展[J];科學通報;2009年18期

相關碩士學位論文 前1條

1 張勇;求解輻射與導熱耦合換熱及其幾何反設計的自然元法[D];哈爾濱工業(yè)大學;2012年

，

本文編號：1346085