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再制造產(chǎn)品拆解問(wèn)題研究

發(fā)布時(shí)間:2018-02-26 09:55

  本文關(guān)鍵詞: 再制造 產(chǎn)品拆解 拆解序列 多色集合 遺傳算法 出處:《西安工程大學(xué)》2012年碩士論文 論文類型:學(xué)位論文


【摘要】:隨著科技的發(fā)展和人們個(gè)性化消費(fèi)需求的增強(qiáng),各種新產(chǎn)品層出不窮,產(chǎn)品生命周期也越來(lái)越短,大量產(chǎn)品由于功能過(guò)時(shí)或報(bào)廢而迅速淘汰。與此同時(shí),地球有限的資源在工業(yè)化進(jìn)程中日益減少,甚至某些資源面臨枯竭,但人類對(duì)資源的需求反而越來(lái)越大。為了解決資源匱乏與報(bào)廢產(chǎn)品迅速垃圾化而產(chǎn)生嚴(yán)重浪費(fèi)這樣一對(duì)矛盾,一種可持續(xù)發(fā)展生產(chǎn)方式——再制造工程應(yīng)運(yùn)而生。再制造是一種符合循環(huán)經(jīng)濟(jì)理念,節(jié)約資源的先進(jìn)制造,也是一種保護(hù)環(huán)境的綠色制造,它能夠賦予廢舊資源更高的附加值,是再循環(huán)的最佳形式!爱a(chǎn)品拆解”是再制造過(guò)程的首要環(huán)節(jié)和關(guān)鍵問(wèn)題,對(duì)拆解環(huán)節(jié)合理地規(guī)劃能夠有效減少拆解成本、提高拆解效率,,減少污染,提高產(chǎn)品的再利用率并提高再制造過(guò)程的效率。因此,對(duì)再制造產(chǎn)品拆解問(wèn)題的研究具有重要的理論意義和實(shí)踐價(jià)值。 鑒于再制造產(chǎn)品拆解研究的重要性,論文以拆解環(huán)節(jié)中的拆解建模、拆解序列規(guī)劃和優(yōu)化為主要研究對(duì)象,借鑒國(guó)內(nèi)外再制造及拆解環(huán)節(jié)研究成果,從再制造及拆解環(huán)節(jié)基本理論入手,闡述了循環(huán)經(jīng)濟(jì)理念和基于循環(huán)經(jīng)濟(jì)理念的再制造概念及再制造工藝流程;通過(guò)對(duì)再制造工藝流程的分析,確定了再制造過(guò)程中的關(guān)鍵問(wèn)題,并詳細(xì)論述了再制造產(chǎn)品拆解環(huán)節(jié)的相關(guān)問(wèn)題。在此基礎(chǔ)上,對(duì)拆解建模中的常用拆解信息模型進(jìn)行了總結(jié)和分析,主要有基于圖論的拆解信息模型、基于矩陣論的拆解信息模型以及基于Petri網(wǎng)的拆解信息模型;通過(guò)對(duì)上述幾類拆解模型的分析和探討,論文提出基于多色集合理論的產(chǎn)品拆解信息模型的構(gòu)建方法:首先構(gòu)建產(chǎn)品的無(wú)向圖,在無(wú)向圖的基礎(chǔ)上構(gòu)建了零件可能位移模型,從可能位移模型中提取零件的可能位移方程,并根據(jù)拆解序列生成算法生成產(chǎn)品可行的拆解序列。將遺傳算法引入到拆解序列優(yōu)化當(dāng)中,以上述生成的可行拆解序列作為遺傳優(yōu)化算法的初始種群;優(yōu)化過(guò)程主要考慮拆解工具變換和拆解方向變化這兩個(gè)評(píng)價(jià)標(biāo)準(zhǔn),將拆解用時(shí)最短作為優(yōu)化目標(biāo)并建立適應(yīng)度函數(shù);設(shè)計(jì)了比例選擇、PPX交叉、位置倒置變異等一系列遺傳操作并給出了詳細(xì)的遺傳算法優(yōu)化流程。最后以機(jī)用虎鉗拆解為例,對(duì)上述基于多色集合理論的拆解模型和基于遺傳算法的拆解序列優(yōu)化進(jìn)行了實(shí)證研究,根據(jù)優(yōu)化流程使用MATLAB6.5編寫遺傳算法優(yōu)化程序從而得到最優(yōu)的拆解序列,驗(yàn)證了模型和算法的可行性。
[Abstract]:With the development of science and technology and the enhancement of individual consumption demand, various new products emerge in endlessly, the product life cycle is shorter and shorter, a large number of products are rapidly eliminated because of outdated functions or scrapping. At the same time, The limited resources of the Earth are dwindling in the course of industrialization, and even some of them are facing depletion, In order to solve the contradiction between the shortage of resources and the rapid waste of end-of-life products, A sustainable development mode of production-remanufacturing engineering emerged as the times require. Remanufacturing is an advanced manufacturing that conforms to the concept of circular economy and saves resources, and it is also a green manufacturing that protects the environment. It can give higher added value to waste and used resources. It is the best form of recycling. "disassembly of products" is the primary link and key problem in the process of remanufacturing. Reasonable planning of dismantling links can effectively reduce the cost of dismantling, improve the efficiency of dismantling, and reduce pollution. Therefore, it is of great theoretical and practical value to study the problem of remanufacturing product disassembly. In view of the importance of the research on remanufacturing product disassembly, this paper takes the disassembly modeling, disassembly sequence planning and optimization as the main research object, and draws lessons from the domestic and foreign research results of the remanufacturing and dismantling links. Starting with the basic theory of remanufacturing and dismantling, this paper expounds the concept of recycling economy and the concept of remanufacturing and remanufacturing process flow based on the concept of circular economy, and through the analysis of the process flow of remanufacturing, The key problems in the process of remanufacturing are determined, and the related problems in the process of remanufacturing product disassembly are discussed in detail. On this basis, the common disassembly information models in dismantling modeling are summarized and analyzed. There are disassembly information model based on graph theory, disassembly information model based on matrix theory and disassembly information model based on Petri net. In this paper, a method of constructing product disassembly information model based on polychromatic set theory is proposed. Firstly, the undirected graph of product is constructed, and the possible displacement model of parts is constructed on the basis of undirected graph. The possible displacement equations of parts are extracted from the possible displacement model, and the feasible disassembly sequences of the products are generated according to the disassembly sequence generation algorithm. The genetic algorithm is introduced into the disassembly sequence optimization. The feasible disassembly sequence is used as the initial population of the genetic optimization algorithm, and the optimization process mainly considers the two evaluation criteria of the disassembly tool transformation and the disassembly direction change, and takes the shortest disassembly time as the optimization objective and establishes the fitness function. A series of genetic operations such as proportional selection PPX crossover, position inversion mutation and so on are designed and detailed genetic algorithm optimization flow is given. Finally, taking machine vice disassembly as an example, The above disassembly model based on polychromatic set theory and the disassembly sequence optimization based on genetic algorithm are studied empirically. According to the optimization process, genetic algorithm optimization program is written with MATLAB6.5 to obtain the optimal disassembly sequence. The feasibility of the model and algorithm is verified.
【學(xué)位授予單位】:西安工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:TH16

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