發(fā)布時(shí)間：2018-01-03 22:36

  本文關(guān)鍵詞：零件工藝失效模式關(guān)聯(lián)建模與工藝方案綠色性分析關(guān)鍵技術(shù)研究　出處：《浙江大學(xué)》2014年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 失效模式及效果分析 關(guān)聯(lián)失效模式 分層遞階 工藝失效知識(shí) 綠色制造 工藝參數(shù)優(yōu)化 DEMATEL-VIKOR 模糊集 模糊物理規(guī)劃 工藝方案決策 互反饋 汽車零部件

【摘要】：制造業(yè)的環(huán)境污染問題引起國內(nèi)外學(xué)者的廣泛關(guān)注,深入研究產(chǎn)品綠色工藝設(shè)計(jì)方法與技術(shù),對于實(shí)現(xiàn)制造業(yè)的節(jié)能減排,具有重要的理論意義和應(yīng)用價(jià)值。本文在綜述國內(nèi)外研究現(xiàn)狀的基礎(chǔ)上,提出并深入研究零件工藝失效模式關(guān)聯(lián)建模與工藝方案綠色性分析技術(shù)。圍繞零件工藝失效模式關(guān)聯(lián)建模、工藝設(shè)計(jì)過程的分層遞階規(guī)劃與工藝再生、工藝參數(shù)多目標(biāo)綠色決策、工藝方案的多目標(biāo)綠色滿意評估等技術(shù)開展研究,并在復(fù)雜汽車零配件產(chǎn)品的工藝設(shè)計(jì)中進(jìn)行實(shí)例應(yīng)用,對所提理論、方法及技術(shù)的可行性進(jìn)行驗(yàn)證。 全文的組織結(jié)構(gòu)為： 第一章：綜述零件工藝設(shè)計(jì)的關(guān)鍵技術(shù)與綠色制造工藝設(shè)計(jì)相關(guān)方法的國內(nèi)外研究現(xiàn)狀,指出當(dāng)前綠色制造工藝規(guī)劃與設(shè)計(jì)技術(shù)的不足之處,給出本文的主要研究工作和論文組織結(jié)構(gòu)。 第二章：針對零件工藝失效模式在模糊語義應(yīng)用中存在的缺陷,提出一種可考慮模糊語義和失效模式關(guān)聯(lián)性的工藝失效知識(shí)表達(dá)方法。運(yùn)用模糊集理論量化工藝失效評估中的專家經(jīng)驗(yàn)和語言的模糊信息,通過模糊改進(jìn)的逼近于理想解排序技術(shù),得到各種失效模式的影響強(qiáng)度。利用決策試驗(yàn)與評價(jià)實(shí)驗(yàn)室理論,構(gòu)建失效模式直接影響關(guān)聯(lián)圖,獲得失效模式綜合影響矩陣,計(jì)算得到每種失效模式的原因度,實(shí)現(xiàn)模糊語義下關(guān)聯(lián)工藝失效模式的合理表達(dá),從而為后繼的工藝失效知識(shí)在工藝設(shè)計(jì)中的應(yīng)用提供基礎(chǔ)。 第三章：根據(jù)產(chǎn)品開發(fā)過程中存在的產(chǎn)品設(shè)計(jì)和工藝設(shè)計(jì)并行性,以及產(chǎn)品設(shè)計(jì)信息由粗漸細(xì)的遞進(jìn)規(guī)律,將產(chǎn)品工藝設(shè)計(jì)過程劃分為概要工藝層、初步工藝層和詳細(xì)工藝層。利用集成定義建模理論對各層主要工藝活動(dòng)進(jìn)行建模,實(shí)現(xiàn)三梯級(jí)的分層遞階工藝規(guī)劃,提高產(chǎn)品設(shè)計(jì)與工藝設(shè)計(jì)的并行度。隨后,運(yùn)用生產(chǎn)實(shí)踐中的工藝失效知識(shí),在模糊關(guān)聯(lián)失效模型基礎(chǔ)上,對所獲取的工藝方案進(jìn)行改進(jìn)優(yōu)化,實(shí)現(xiàn)制造可靠工藝方案的再生,有助于工藝設(shè)計(jì)階段的前移和制造可靠性的提高。 第四章：通過構(gòu)建綠色制造過程灰色模型,將工藝參數(shù)優(yōu)化過程轉(zhuǎn)化為多屬性目標(biāo)決策過程。運(yùn)用三角模糊數(shù)對綠色制造評估專家不確定、不準(zhǔn)確的模糊知識(shí)進(jìn)行處理,提出采用決策試驗(yàn)與評價(jià)試驗(yàn)室方法建立綠色工藝評估指標(biāo)的直接影響關(guān)聯(lián)矩陣和綜合影響矩陣,獲得各評估指標(biāo)的原因度和中心度,進(jìn)而分析綠色工藝評估指標(biāo)間的關(guān)聯(lián)性,并依據(jù)影響程度進(jìn)行權(quán)重大小分配。在考慮群體效益最大化與個(gè)體遺憾最小化的前提下,運(yùn)用DEMATEL-VIKOR理論進(jìn)行綠色工藝參數(shù)決策,獲得考慮決策者主觀偏好的綠色工藝參數(shù)或折中工藝參數(shù)集,并確定最優(yōu)綠色工藝參數(shù)的調(diào)控優(yōu)先次序,實(shí)現(xiàn)制造工藝參數(shù)的多目標(biāo)綠色優(yōu)化。 第五章：針對綠色工藝決策中合理且有實(shí)際物理意義的目標(biāo)權(quán)重難以確定的問題,提出基于決策者主觀偏好和決策信息互反饋的產(chǎn)品工藝方案綠色性分析技術(shù)。通過對用戶層、滿意偏好捕獲層、方案決策層、方案評估層與候選方案層分解細(xì)化,實(shí)現(xiàn)工藝方案綠色性分析的多層架構(gòu)。運(yùn)用梯形模糊數(shù)對決策模糊知識(shí)進(jìn)行處理,依據(jù)捕獲的決策目標(biāo)偏好,建立反映決策者主觀信息的偏好函數(shù),搭建模糊語義下綠色滿意工藝方案的物理規(guī)劃決策模型。通過決策者與工藝方案間的滿意信息互反饋,實(shí)現(xiàn)基于模糊物理規(guī)劃與互反饋的工藝方案綠色滿意度決策。 第六章：研究零件工藝失效關(guān)聯(lián)建模與方案綠色性分析技術(shù)在汽車零配件產(chǎn)品工藝設(shè)計(jì)中的實(shí)例應(yīng)用,驗(yàn)證所提理論、方法和技術(shù)的可行性 第七章：對全文研究成果進(jìn)行總結(jié),并對今后研究工作進(jìn)行展望。
[Abstract]:The problem of environmental pollution in manufacturing industry has aroused extensive attention of scholars at home and abroad, and technology of green process design method research for energy saving and emission reduction products, the manufacturing industry, and has important theoretical significance and application value. In this paper, the research status at home and abroad on the summary, proposed and in-depth research of part process technology. Green failure analysis the mode of relevance modeling and process around the parts process failure mode correlation modeling, process design, hierarchical planning and process parameters of regeneration, multi-objective decision making research on green technology scheme, multi-objective green satisfaction assessment techniques, and examples of application in the process design of complex Auto parts products, on the proposed theory to verify the feasibility, method and technology.
The organizational structure of the full text is as follows:
In the first chapter, we summarize the research status of the key technology of part process design and the related methods of green manufacturing process design at home and abroad, and point out the deficiencies of the current green manufacturing process planning and design technology, and give the main research work and organization structure of this paper.
The second chapter: Aiming at the defects existing in the failure mode of the fuzzy semantic application process, proposes a knowledge expression method can consider failure process and failure mode of fuzzy semantic relevance. Fuzzy information using fuzzy set theory to quantify the process failure in the assessment of expert experience and language, through the fuzzy TOPSIS technology improvement the impact strength of various failure modes. By using the theory of decision making trial and evaluation laboratory, construction of failure mode directly affect the association graph, failure mode of synthetical effect matrix, calculated each kind of reason of the failure mode, to realize the reasonable expression of fuzzy association process semantics of the failure mode, which provides the basis for the subsequent process failure the application of knowledge in the process design.
The third chapter: according to the product design in the process of product development and design process of parallelism, and product design information by the progressive law of rough tapering, the product design process is divided into conceptual process layer, process layer preliminary and detailed process of modeling layer. Each layer of the main process activities by the integrated definition of modeling theory, implementation planning the three step of hierarchical process, improve the degree of parallelism of product design and process design. Then, the use of technology in the production practice of failure knowledge, the fuzzy correlation failure model based on the optimized process scheme of the manufacturing process to achieve reliable regeneration, is helpful to the process design and manufacturing forward to improve the reliability.
The fourth chapter: the process of constructing the grey model of green manufacturing, the process parameter optimization process into multi attribute decision process. Using the triangular fuzzy number of uncertainty of green manufacturing evaluation experts, fuzzy knowledge is not accurate, the laboratory test and evaluation method of decision process to establish the green evaluation index directly affects the incidence matrix and the comprehensive effect of each evaluation index matrix, obtained the reason degree and centrality, and correlation analysis of green process evaluation index, and according to the influence degree of weight distribution. Considering the group profit maximization and individual regret minimization, using the DEMATEL-VIKOR theory of green process parameter decision, green process parameters considering decision maker subjective preference or compromise process parameters set, and determine the optimal process parameters of the control green priority implementation Multi-objective green optimization for manufacturing process parameters.
The fifth chapter: the weight of green process decision is rational and actual physical meaning is difficult to determine the problem, proposed scheme product process analysis technology. The subjective preference and decision feedback based on mutual information green through the user layer, with preference capture layer, decision-making layer, project evaluation layer and the candidate layer decomposition refinement, multi-layer architecture process green analysis. Using the trapezoidal fuzzy number of decision fuzzy knowledge processing based on decision target preference acquisition, number preference letter established to reflect the decision-maker's subjective information, build a physical programming model with fuzzy semantics green process scheme. Through satisfactory information to decision makers and process. The mutual feedback, Fuzzy Physical Programming and mutual feedback process for green satisfaction based on decision.
The sixth chapter: research the application of part process failure correlation modeling and scheme green analysis technology in the process design of automotive parts and components, and verify the feasibility of the theory, method and technology.
The seventh chapter: summarize the research results of the full text, and look forward to the future research work.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TH16

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