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1、 硕硕 士士 学学 位位 论论 文文 题 目： 面向电梯零部件智能制造的切削参数优化 及知识库研究与开发 英文并列题目： The research of optimization of cutting parameters and development of knowledge base for intelligent manufacturing of elevator parts 研 究 生： 张国祥 专 业： 机械工程 研 究 方 向： 机械制造及其自动化 导 师： 吉卫喜 教授 指导小组成员： 学位授予日期： 2017 年 6 月 19 号 答辩委员会主席： 武美萍 江江 南南 大大
2、学学 地址：无锡市蠡湖大道 1800 号 二一七 年 六 月 摘 要 I 摘 要 随着中国制造 2025 计划的提出，制造业迎来了发展的新方向向智能制造方向 发展，切削参数的智能优化选择是智能制造技术的重要环节。合理的切削参数有助于提 高工件的加工效率、改善工件的加工质量以及延长刀具的使用寿命等。目前，切削参数 的选择主要依靠工艺人员的实践经验或是通过查询切削手册来获得， 对人的依赖性较大， 切削参数参数的选择较为保守，将制约制造资源发挥其最大的效益。针对以上问题，结 合目前人工智能技术已有的研究成果， 对切削参数智能选择过程中切削参数知识的表示、 推理和优化选择等问题进行了研究与探索，建立电
3、梯零部件切削参数知识库。本文主要 展现以下几个方面的研究内容： （1）对电梯零部件制造过程特点进行分析，并进一步阐述实现电梯零部件制造工 艺参数智能选择意义，在研究切削参数优化及知识库的国内外研究现状基础上，发现电 梯零部件制造过程中在切削参数优选方面存在的问题，总结该方向研究的发展趋势，整 理出本课题要研究的重点内容和章节安排。 （2）阐述电梯零部件离散制造加工过程切削过程原理，结合某电梯零部件企业实 际情况，对所研究电梯零部件进行分类并结合具体零件分析电梯零部件加工工艺。研究 优化理论在机械制造中的应用， 为进一步建立切削参数优化模型和进行切削参数的智能 选择的研究奠定理论基础。 （3）研
4、究电梯零部件实际加工过程中的相关因素，融入绿色低碳制造的理念，以 加工时间和 CO2排放量为优化目标，建立连续工步条件下的切削参数优化模型。研究多 目标的优化方法，提出基于 Pareto 的改进人工鱼群算法，并对算法性能进行测试，将改 进算法应用于实际切削加工案例中，为知识库构建提供案例知识。 （4）在对电梯零部件加工过程切削参数优化选择理论分析的基础上，结合某电梯 零部件制造企业实际情况，确定电梯零部件切削参数知识库的整体结构。综合运用各种 技术和方法建立符合本课题研究的电梯零部件切削参数知识表示方法， 并确定基于 CBR 和 RBR 的切削参数智能选择方法。 （5）基于以上研究理论，利用P
5、owerBuilder作为客户端开发工具，以 SQL Server 2012 作为数据库管理工具，结合 Matlab 开发语言对系统进行了设计与实现，并以此为 基础设计一套能初步够适应企业实际需求的切削参数智能选择原型系统， 初步实现电梯 零部件切削参数的智能优选。 关键关键词词：智能制造；电梯零部件；切削参数优化；多目标优化；知识库；智能选择 Abstract II Abstract With the proposal of the “Made in China 2025” plan, the manufacturing industry is ushered in a new direct
6、ion of development the intelligent manufacturing。Intelligent selection of cutting parameters plays an important role in intelligent manufacturing technology. The selection of cutting parameters has a great influence on the production efficiency, machining quality and tool life. At present, the selec
7、tion of cutting parameters mainly depends on the experience of technologists or the cutting parameter handbook, so it has a great dependence on people. Due to the existence of human subjectivity, it will restrict the manufacturing resources to maximize their effectiveness. To solve the above problem
8、s, the paper investigates the optimization of cutting parameters and the representation of cutting parameters in knowledge base and reasoning method combined with the findings of artificial intelligence technology. The main contents of the research are as follows: (1)The paper gives a brief introduc
9、tion to the intelligent manufacturing of elevator parts, and analyzes the research status of selection of cutting parameters and knowledge base system at home and abroad. Then, it analyzes the problems existing in the enterprises of the selection of cutting parameters. Finally the paper summarizes t
10、he development trend of this direction, and sorts out the key contents and chapters arrangement of this subject. (2)The paper analyzes the principle of cutting parameters in the discrete manufacturing process of elevator parts, and summarizes the cutting performance of the materials used in the elev
11、ator parts and the reasonable selection principle of cutting conditions in the cutting process, then takes analysis and planning for machining a key parts of the elevator process routes. (3)The paper analyzes the optimization method of cutting parameters of elevator parts, and determines the optimal
12、 variables. By studying on the related factors of the actual process, and with the concept of green and low-carbon manufacturing, the paper establishes the cutting process optimization model for continuous work step which has the cutting objective function of the minimum processing time and minimum
13、CO2 emissions. Researching on the implementation method of multi-objective optimization, the paper proposes an improved artificial fish swarm algorithm which based on Pareto to the multi-objective optimization, and then applies it to the actual cutting process to provide case knowledge for knowledge
14、 base. (4)On the basis of the analysis of the factors of the manufacturing process of the elevator parts, the paper gives the whole structure of the knowledge base of the cutting parameters of elevator parts. Using various techniques and methods to establish the knowledge representation of cutting p
15、arameters, and then the intelligent selection method of cutting parameters based on CBR and RBR is determined. (5)Lastly, based on the theory of the research, the paper shows a prototype system of cutting parameters which is designed by using PowerBuilder as the front-end development tools and Micro
16、soft SQL Server 2012 as the background database. Also the MATLAB language has used during the development of the prototype system which can initially realize intelligent selection of cutting parameters. Abstract III Key words: Intelligent manufacturing; Elevator parts; Cutting parameters optimization; Multi-objective optimization; Knowledge base; Intelligent selection. 目 录 IV 目 录 摘 要 . I Abstract . II 目 录 IV 第一章 绪论 1 1.1 课题的研究背景和意义 . 1 1.1.1 课题研究
