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基于LCA的波峰焊工藝碳足跡模型構(gòu)建與參數(shù)優(yōu)化

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  本文關(guān)鍵詞: 低碳制造 波峰焊工藝 碳足跡 響應(yīng)面法 出處:《浙江理工大學(xué)》2017年碩士論文 論文類型:學(xué)位論文


【摘要】:低碳制造是實(shí)現(xiàn)我國2020年減排承諾的有效途徑,是實(shí)現(xiàn)低碳經(jīng)濟(jì)發(fā)展的必經(jīng)之路。其作為一種全新的可持續(xù)制造模式,符合國家發(fā)展戰(zhàn)略性新興產(chǎn)業(yè)、實(shí)施節(jié)能減排以及應(yīng)對氣候變化重大戰(zhàn)略工程。實(shí)施低碳制造,要從能耗、物耗、廢物排放等角度出發(fā),提高能源、資源利用率,減少廢物排放,改善能源結(jié)構(gòu),實(shí)現(xiàn)企業(yè)制造碳排放減量化。如何準(zhǔn)確的量化制造過程的碳排放是實(shí)現(xiàn)低碳制造的前提。為了響應(yīng)低碳制造,本文對H公司的模塊生產(chǎn)車間的波峰焊工藝流程進(jìn)行碳足跡模型構(gòu)建,以此模型來計算波峰焊工藝的碳足跡值。根據(jù)波峰焊工藝的特點(diǎn)將其分成了五個不同的模塊,對這些模塊分別針對性地構(gòu)建碳足跡計算模型。并在此基礎(chǔ)之上選取適當(dāng)參數(shù)因子,構(gòu)建波峰焊工藝生命周期碳足跡的參數(shù)優(yōu)化模型,使用響應(yīng)面法分析出最優(yōu)參數(shù)。最后開發(fā)波峰焊工藝碳足跡計算分析軟件。本文的主要內(nèi)容如下:第1章,以論文研究任務(wù)為主線,給出了關(guān)于制造業(yè)碳足跡理論的背景和目的意義、低碳制造國內(nèi)外研究現(xiàn)狀,然后介紹了文章的研究內(nèi)容與體系結(jié)構(gòu)。第2章,碳足跡及波峰焊工藝相關(guān)分析,介紹了碳足跡的提出的背景與概念;分別介紹了當(dāng)前碳足跡計算的4種方法,然后對4種方法進(jìn)行對比,確定本文的碳足跡計算方法;然后介紹了碳足跡的一些計算工具;最后介紹了波峰焊工藝的基本原理以及基本工藝流程。第3章,波峰焊工藝碳足跡模型構(gòu)建,以H企業(yè)模塊車間生產(chǎn)制造的波峰焊工藝為對象,對波峰焊工藝的碳足跡進(jìn)行模型構(gòu)建,把波峰焊工藝劃分成5個模塊,分別是夾送系統(tǒng),噴涂助焊劑系統(tǒng)、預(yù)熱系統(tǒng)、焊接系統(tǒng)和冷卻系統(tǒng),對每個系統(tǒng)進(jìn)行單獨(dú)碳足跡建模,整合成波峰焊工藝碳足跡計算模型。最后使用該模型計算波峰焊工藝的碳足跡值。第4章,波峰焊工藝參數(shù)優(yōu)化,對影響波峰焊工藝碳足跡值的因素進(jìn)行分析,選擇可控的因素作為參數(shù)因子,構(gòu)建波峰焊碳足跡優(yōu)化模型,通過試驗(yàn)數(shù)據(jù),使用響應(yīng)面法生成二次回歸方程,找出這些參數(shù)因子的最優(yōu)值,降低波峰焊工藝碳足跡。第5章,波峰焊工藝碳足跡計算分析系統(tǒng),分別介紹了系統(tǒng)總體設(shè)計、系統(tǒng)功能設(shè)計和系統(tǒng)開發(fā)流程,然后介紹了系統(tǒng)開發(fā)的工具與系統(tǒng)的具體實(shí)現(xiàn)等。第6章,總結(jié)了本文的研究內(nèi)容,并指出后續(xù)的工作與本論文的的不足之處。
[Abstract]:Low-carbon manufacturing is an effective way to realize China's emission reduction commitment in 2020, and is the only way to achieve low-carbon economic development. As a new sustainable manufacturing model, it is in line with the national development of strategic emerging industries. To implement energy saving and emission reduction and major strategic project to deal with climate change, the implementation of low-carbon manufacturing, from the perspective of energy consumption, material consumption, waste emissions, to improve energy, resource utilization, and reduce waste emissions. How to accurately quantify the carbon emissions of manufacturing process is the premise of low-carbon manufacturing. In order to respond to low-carbon manufacturing. This paper constructs the carbon footprint model of the wave peak welding process in the module workshop of H Company. According to the characteristics of wave peak welding process, it is divided into five different modules. On the basis of these modules, the carbon footprint calculation model is constructed, and on the basis of this, appropriate parameter factors are selected to construct the parameter optimization model of wave peak welding process life cycle carbon footprint. Finally, the software for calculating and analyzing the carbon footprint of the wave peak welding process is developed. The main contents of this paper are as follows: chapter 1, the main task of the thesis is the main line. The background and purpose significance of carbon footprint theory in manufacturing industry and the research status at home and abroad of low carbon manufacturing are given, and then the research content and system structure of this paper are introduced. Chapter 2, the correlation analysis of carbon footprint and wave soldering process. The background and concept of carbon footprint are introduced. The current four methods of carbon footprint calculation are introduced, and the four methods are compared to determine the method of carbon footprint calculation in this paper. Then some calculating tools of carbon footprint are introduced. In the end, the basic principle and technological process of wave peak welding are introduced. Chapter 3, the carbon footprint model of wave peak welding process is built, and the wave peak welding process manufactured in H enterprise module workshop is taken as the object. The carbon footprint of wave peak welding process is built. The wave peak welding process is divided into five modules, namely, clip system, spray flux system, preheating system, welding system and cooling system. Each system is modeled as a single carbon footprint, which is integrated into a wave peak welding process carbon footprint calculation model. Finally, the model is used to calculate the wave peak welding process carbon footprint value. Chapter 4, wave peak welding process parameters optimization. The factors affecting the carbon footprint value of wave peak welding process are analyzed and the controllable factors are selected as parameter factors to construct the optimization model of wave peak welding carbon footprint. The quadratic regression equation is generated by using the response surface method through the test data. Find out the optimal value of these parameters, reduce the wave welding process carbon footprint. Chapter 5, wave welding process carbon footprint calculation and analysis system, respectively introduced the system overall design, system function design and system development process. Then it introduces the tools of system development and the implementation of the system. Chapter 6 summarizes the research content of this paper and points out the following work and the shortcomings of this paper.
【學(xué)位授予單位】:浙江理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TG44

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