基于Edgecam的智能化车削编程技术研究

研究了基于Edgecam软件的智能化编程技术,介绍了智能编程的实现原理及过程,以某一典型车削零件为例,分析了零件加工工艺、Edgecam自动特征识别,自定义加工策略等过程,重点介绍了策略定制中的关键技术问题,实现了零件编程的智能化和快速化。     

基于实例推理的模具零件加工工艺决策模型构建及应用

针对传统模具零件加工工艺依靠人工编制而导致的效率低、设计周期长,无法适应现代模具零件多品种、小批量、高效智能化生产的需求,构建了一种基于实例推理的模具零件加工工艺决策模型.采用粗糙集理论,提出了模具零件特征属性权值计算方法;采用归一化和余弦相似度方法,对数值型和字符型局部相似度进行了准确表征;基于静态及动态相似度阈值相...     

基于产品特征的数控加工工艺与设计方法分析

在现阶段的机械设备制造以及检修维护过程中,应用较为广泛的工艺是数控加工工艺。其中,数控加工工艺基于产品特征开展设计,是通过数控机床加工零件的一种技术手段。基于产品特征的数控加工工艺以及设计方式,可以有效提升整个产品加工的自动化、智能化以及模块化发展。本文主要对其进行简单的探究分析。     

基于特征的零件工艺参数化变型设计

为实现企业快速响应市场的需求,在智能化CAPP的理论基础上,利用工艺的可重用性,对基于特征的零件工艺参数化变型设计进行了深入的研究。建立了以三维参数化工艺模型为核心的典型零件工艺模板,结合参数化设计技术,生成特征驱动的工艺模型和加工工艺,实现了零件工艺的变型设计。最后,以某型号的板类零件为例,验证了该技术的智能性和实用性。     

论述非单调轴类零件的数控加工工艺

当今社会科学技术飞速发展,技术的智能化、精细化、自动化是发展的趋势,也成为了检验技术优劣的标准。数控技术经历了近几年的发展得到了较快的发展,在智能化、精细化及自动化方面取得了长足的进步,为社会的工业发展提供了强大的技术保证。运用数控机床加工零件,其关键部分在于加工工艺,加工工艺的优劣直接决定零件的好坏,对于工艺的加工处理是数控技术的前提,如何使加工工艺更加精细化是我们需要解决的问题。非单调轴类零件是一类重要的工业零件,其加工工艺的精细程度会直接影响零件的使用效率。     

基于模糊综合评判工艺决策的CAPP系统研究

针对工艺决策在实现C A PP智能化的重要性,在分析了C A PP专家系统的智能工艺决策的基础上提出一种基于层次分析的模糊综合评判的方法。基于典型工艺数据库,建立零件各个因素间模糊关系,结合零件编码加权相似系数检索法,通过采用一级编码和一级编码匹配率以及二级编码和二级编码匹配率的方式分配零件因素的权重。利用模糊综合评判技术来衡量新零件与模板工艺库中某一个实例零件的相似程度,实现简化零件加工工艺决策,为C A P P智能化提供了方法。     

基于CBR的注塑模零件工艺自动规划研究

基于CBR思想,通过对注塑模具零件的类型细分,建立加工特征编码结构,将原有的零件加工特征及其工艺作为实例特征和实例工艺,通过加工特征进级匹配,获得零件各加工特征的加工工艺,并使用遗传算法排序优化出零件的合理工艺规程。     

基于CAD/CAPP集成环境的工序图自动生成技术研究

基于三维特征建模技术,研究了零件工序模型和工序图的自动生成技术,采用扩展实体、特征回退、配置管理技术,运用加工工艺信息,采用逆向重构法生成零件工序模型和工序图。基于Solidworks平台,自动生成了轴套类零件按照加工逆序排列的工序模型和2D工序图,对缩短产品工艺设计周期,提高CAD/CAPP集成系统的实用性具有重要意义。     

模具零件智能加工工艺设计系统研究

针对传统模具零件加工工艺设计系统智能化程度低、设计效率低以及设计周期长等问题,开发了模具零件智能加工工艺设计系统。基于PowerMILL软件的二次开发实现模具零件信息的自动分析和获取;通过实例推理构建智能工艺决策方法与模型,实现了模具零件加工工艺的自动生成;结合多项式拟合法,构建零件加工工时的预测模型。以某企业的动模镶块加工工艺设计为例,利用所开发的模具零件智能加工工艺设计系统,使企业生产管理系统下载零件模型时间缩短50%,零件加工工艺编制时间缩短40%,验证了该智能加工工艺设计系统的可行性与有效性。     

基于特征工艺重用的箱体零件工艺规划研究

针对箱体类零件结构的复杂性 ,提出了基于特征工艺重用的工艺变型设计方法 ,由基于实例的方案重用技术生成零件特征的加工链 ,将基因遗传 /禁忌混合算法应用于加工工序的排序 ,从而获得了零件合理、优化的工艺方案     

A Case-Based Computer-Aided Process-Planning System for Machining Prismatic Components

This article deals with a process-planning system that uses case-based reasoning methodology. Briefly, case-based reasoning is an intelligent problem-solving technique which works by searching through a database for previously solved problems for one or more cases whose identifying features closely resemble the current problem. The case-based reasoning system used in this article to develop a process plan, typically consists of three modules, i.e. the part input and representation module, the case retrieval, and case adoption module. In this paper, new approaches have been proposed in all three modules. By incorporating a multiparametric and absolute-matching technique, the case retrieval module especially has become more powerful. A practical approach has been suggested in this research to compute the similarity between part input and case. An illustrative example is included to demonstrate the proposed system.     

Representation and similarity assessment in case-based process planning and die design for manufacturing automotive panels

This work improves process planning and die design in automotive panel manufacturing using a novel case-based reasoning (CBR) methodology. An innovative indexing representation and retrieval approach are also addressed. The flat-bend graph, which is utilized to represent a panel model with a B-rep structure, retains geometric and topological data in the Standard for the Exchange of Product model data format. Flat-type faces collected into several groups are represented by graph nodes, and bend-type faces are represented by graph arcs. Based on the topological information between bend-type faces and flat-type faces, a graph is constructed. Additionally, the holes detected are considered another graph node types. Geometric information and stamping parameters are utilized as graph attributes. To retrieve an appropriate case for a potentially huge search space, independent maximal cliques detection is applied. All independent maximal cliques that represent the maximum number of features shared by models are identified. Based on the retrieval result, previous process plans and die sets can be acquired for use by new cases. Experimental results obtained using the CBR system integrated with the product data management system demonstrate the practicality of reusing previous designs to accelerate stamping process planning and die design.     

Application of Case-Based Reasoning in Die-Casting Die Design

This paper presents a study on die-casting die design based on case-based reasoning (CBR). Being different from a traditional die-casting CAD system, this system stores the knowledge and experience as cases, and modifies a previous case to satisfy a new situation. By saving the new solution in the case library after the latest problem has been solved, the system is able to perform self-learning from the experience accumulated. The work includes: 1. Developing a case-based reasoning environment for diecasting die design, so that the system can self-learn from the previous consultation itself and become more efficient. 2. Developing an effective case representation and adaptation methodology for reusing previous design resources efficiently. This paper focuses mainly on the design of die-casting dies. However, the proposed framework is generally adaptable for other processes (such as fixture design and injection mould design) by customising specific process features and encoding process design rules.     

基于规则推理的最近邻实例检索模型研究

实例检索是基于实例产品设计的关键。本文用基于多粒度的方法统一表示实例和规则的索引 ,利用规则推理减小实例检索的范围 ,提高检索的质量 ,提出了以最近邻算法为基础的实例检索模型 ,支持索引词汇的动态扩充和特征权重与特征属性相似度的动态调整。开发的“基于混合推理的机床夹具CAD系统”已在某大型航空企业成功地应用于国家重点型号工程的研制 ,验证了本文算法的可行性和高效性。     

基于事例的供应商选择模型与方法研究

供应商选择是供应链管理的重要内容。本文根据供应商选择的特点,采用基于事例推理的技术研究供应商选择的决策方法,建立了基于事例推理的供应商选择过程模型。进一步,应用模糊集理论,研究了供应商选择事例的表示与检索,提出了一种考虑模糊特征隶属度函数值的相似度检索方法。最后,给出了基于事例的供应商选择系统的应用实例。     

A framework for failure recovery in a manufacturing cell

The maturity level of an automated manufacturing system can be measured by the failure-recovery capability of the system. This paper addresses the unique characteristics of failure-recovery problems in manufacturing cells, suggests a framework to cope with the problems, and presents a recovery strategy. Opportunistic and incremental problem-solving concepts of a blackboard architecture are adopted for building the framework. A case-based strategy has been developed, which uses both heuristic knowledge and historical information to resolve the cause of failures in diverse situations. An example of tool breakage is presented which illustrates the concepts of the above-mentioned framework and strategy. Prototype software has been implemented in the object-oriented language Smalltalk-80 for this purpose.     

基于知识的电气综合方案设计系统研究

电气综合系统设计是对现有知识继承、重用、再创新的过程.在分析设计过程特点的基础上,提出了基于知识的电气综合方案设计系统框架结构,基于混合知识表示构建了多层次知识库,结合基于实例推理和基于规则推理方法设计了混合推理机,开发了原型系统IESDS(Integrated Eletrical Scheme Design System)对上述研究的进行了可行性验证.     

基于实例推理的产品概念设计系统

产品概念设计是设计过程中最具有创造性的阶段。本文分析了产品概念设计过程的主要研究内容，提出了基于实例推理的产品概念设计模型结构，采用面向对象方法进行实例的表示，通过基于实例的推理技术获得相似实例。开发了一个基于实例推理的产品概念设计原型系统。     

基于实例推理的自动武器辅助设计系统

介绍了基于实例推理与设计的原理,提出了一种支持自动武器设计的计算机辅助设计系统.详细探讨了系统设计方案生成过程中的各个关键技术环节:用XML进行实例的知识表达,用比较归纳法与最近相邻法相结合的方法进行实例检索.在此基础上,建立了一个基于实例推理的自动武器辅助设计开发管理平台.