基于LCA的波峰焊工艺碳足迹模型构建与参数优化

发布时间：2018-01-23 12:35

本文关键词： 低碳制造波峰焊工艺碳足迹响应面法　出处：《浙江理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：低碳制造是实现我国2020年减排承诺的有效途径,是实现低碳经济发展的必经之路。其作为一种全新的可持续制造模式,符合国家发展战略性新兴产业、实施节能减排以及应对气候变化重大战略工程。实施低碳制造,要从能耗、物耗、废物排放等角度出发,提高能源、资源利用率,减少废物排放,改善能源结构,实现企业制造碳排放减量化。如何准确的量化制造过程的碳排放是实现低碳制造的前提。为了响应低碳制造,本文对H公司的模块生产车间的波峰焊工艺流程进行碳足迹模型构建,以此模型来计算波峰焊工艺的碳足迹值。根据波峰焊工艺的特点将其分成了五个不同的模块,对这些模块分别针对性地构建碳足迹计算模型。并在此基础之上选取适当参数因子,构建波峰焊工艺生命周期碳足迹的参数优化模型,使用响应面法分析出最优参数。最后开发波峰焊工艺碳足迹计算分析软件。本文的主要内容如下:第1章,以论文研究任务为主线,给出了关于制造业碳足迹理论的背景和目的意义、低碳制造国内外研究现状,然后介绍了文章的研究内容与体系结构。第2章,碳足迹及波峰焊工艺相关分析,介绍了碳足迹的提出的背景与概念;分别介绍了当前碳足迹计算的4种方法,然后对4种方法进行对比,确定本文的碳足迹计算方法;然后介绍了碳足迹的一些计算工具;最后介绍了波峰焊工艺的基本原理以及基本工艺流程。第3章,波峰焊工艺碳足迹模型构建,以H企业模块车间生产制造的波峰焊工艺为对象,对波峰焊工艺的碳足迹进行模型构建,把波峰焊工艺划分成5个模块,分别是夹送系统,喷涂助焊剂系统、预热系统、焊接系统和冷却系统,对每个系统进行单独碳足迹建模,整合成波峰焊工艺碳足迹计算模型。最后使用该模型计算波峰焊工艺的碳足迹值。第4章,波峰焊工艺参数优化,对影响波峰焊工艺碳足迹值的因素进行分析,选择可控的因素作为参数因子,构建波峰焊碳足迹优化模型,通过试验数据,使用响应面法生成二次回归方程,找出这些参数因子的最优值,降低波峰焊工艺碳足迹。第5章,波峰焊工艺碳足迹计算分析系统,分别介绍了系统总体设计、系统功能设计和系统开发流程,然后介绍了系统开发的工具与系统的具体实现等。第6章,总结了本文的研究内容,并指出后续的工作与本论文的的不足之处。
[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.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TG44

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