基于AutoCAD的锻造工艺卡片设计系统

基于AutoCAD平台,运用Object ARX,使用VC7.0和Visual LISP开发了锻造工艺卡片设计系统.针对企业特定工艺卡片模板,读取其锻造工艺信息数据库,通过用户交互式修改,将文字信息正确输出到工艺卡片上,避免了以往手动生成和编辑卡片的麻烦.同时提供图纸管理和图纸打印功能,进一步提高工作效率.     

基于三维模型的装配工艺规划技术研究

对三维装配工艺规划关键技术和解决方案进行了研究,包括：层次模型和关系模型相结合的产品装配信息建模、基于仿真拆卸的装配工艺规划及装配工艺文件自动生成等问题,并基于CATIA平台开发出装配工艺规划原型系统,实现了交互式装配序列、路径规划,生成了装配工艺文件,验证了技术的可行性。     

由数控系统状态信息生成XML文件的方法研究

在网络化数控系统中,为了使状态监控系统能更有效的监控数控系统,提出了将数控系统状态信息根据相应的conf配置文件并利用libxml2程序库生成XML文件的方法.实验结果表明:采用根据conf配置文件并利用libxml2程序库生成XML文件的方法比利用数控系统自带的RCS库函数生成XML文件的时间性能更佳.     

基于XML的装配工艺信息建模技术在飞机制造行业中的应用

为解决飞机制造行业中异构系统间的装配工艺信息交互问题,提出了基于XML的工艺信息模型及交换架构;利用XML Schema描述飞机装配工艺信息,阐明了基于XML的飞机装配工艺信息的表现形式及其特点.通过JDOM技术实现XML工艺信息文档的高效地访问和操作.最后介绍了一个基于该模型的应用实例,该实例证明了基于xml的装配工艺信息模型在飞机制造行业应用中的可行性.     

XML技术在新产品设计过程中的应用

在新产品设计过程中,因为要求产品信息模型动态响应用户需求、频繁动态地修改、反复回溯,所以新产品设计数据需要有特殊的组织方式,利用产品结构树的数据组织与操作形式,可以很灵活地适应了这些要求.因此,文章提出了一种基于XML技术的产品结构树管理策略,全面描述、操作产品结构树,对修改后的产品结构树利用DOM生成新的XML文档以便统一管理各阶段的产品设计信息,从而有效地管理新产品设计的全过程.     

基于XML的标准设计资源管理平台的研究

随着网络化制造中标准设计资源的大量使用,基于XML技术的设计资源信息显示和操作显得尤为重要。提出了设计资源管理平台的四层系统体系结构,介绍了基于dom4j的XML文件生成解析算法和Dtree组件生成动态树状结构的方法等系统实现的两个关键技术,最后实现了设计资源动态树的显示。     

基于Web的卧式柱塞泵虚拟装配系统的研究

基于网络的虚拟装配为传统装配技术提供了新的思路。文章提出了虚拟装配仿磁心定位概念，应用虚拟现实建模语言（VRML）和动态服务器页面（ASP）技术，从产品的拆卸／装配分析角度出发，以卧式柱塞泵为例实现了网络环境下虚拟装配系统的动态仿真，装配信息实时反馈以及虚拟环境下对数据库的快速查询方法，并研究了实时动画和交互的关键技术，     

凸轮轴虚拟磨削加工三维实景的建立

凸轮轴磨削工艺系统三维实景是本研究中凸轮轴虚拟磨削加工系统的基础功能单元.本文详细探讨了凸轮轴磨削工艺系统三维实景建立的技术方法.首先对虚拟磨床信息进行数据抽象以便于数据处理,再对虚拟加工工艺系统进行结构组织和再现,按照工艺系统各组成部分的运动关系来组织其数据关系,并据此建立了一个完整的三维实景平台系统,能用于凸轮轴磨削加工动态过程的虚拟再现,并实现了能增强用户真实感体验和提高用户操作效率的交互功能.     

基于模型定义的钣金零件检验计划生成

为了实现三维环境下钣金零件检验计划生成,以基于零件模型定义的数据集为获取对象,分析钣金零件数据集中的检验信息构成,建立基于零件模型的定义数据集。在通用三维CAD软件CATIA环境下,通过定制相应的检验信息获取工具生成XML文件,利用CAPP系统最终生成检验计划。     

基于变速箱装配线的虚拟规划建模与仿真

数字化制造可充分利用产品生产制造过程中的各类信息,为产品生产系统的设计提供有效依据.本文结合变速箱的生产特点,提出了变速箱装配线的模型构建方法,使用Quest数字化仿真软件完成了变速箱装配线的虚拟规划仿真,并根据仿真结果实现了部分制造参数的优化.     

基于Cult3D和Java的网络虚拟装配技术的实现

综合比较了现有的三维虚拟装配技术,选用Cult3D作为平台配合Java编程实现基于网络的三维虚拟装配以及各种交互动作,阐述从建模、装配到发布资源的完整过程。该技术工程文件较小、制作流程简单、可在浏览器内播放,三维立体效果和网络互动环节增加了演示和设计的趣味性、生动性。     

Wavelets-based method for variation analysis of non-rigid assemblies

This paper proposes a new method based on wavelets analysis and finite element method (FEM) for the variation analysis of non-rigid assemblies. It is well known that the part fabrication variation, coupled with the part's deformation during the assembly process, is one of the main factors affecting the assembly quality. But little investigation has been done on how component variations with different scales contribute to the final dimensional variation of non-rigid assemblies. The proposed approach takes the part variation as a signal and applies wavelets transform to decompose it into different scale components. The deformation of non-rigid assemblies that corresponds to these different scale components is calculated by using FEM. Since the part variation is resulted from manufacturing, manufacturing engineers can apply this method to get valuable information to avoid major variation causes in manufacturing process and make a better process plan. The proposed method is illustrated through a case study on an assembly of two flat sheet metal parts.     

Augmented Reality Aided Assembly Design and Planning

This paper presents a methodology that integrates the assembly Product Design and Planning (PDP) activities with the Workplace Design and Planning (WDP) activities to improve the efficiency and quality of assembly design and planning at the early design stage. This methodology is implemented in an augmented reality (AR) assembly environment, where engineers can design and plan a product assembly and its assembly sequence through manipulating virtual prototypes in a real assembly workplace. In this AR environment, WDP information are fed back to the designers and engineers in real-time to aid them in making better decisions in assembly design and planning.     

Consensus tree method for generating master assembly sequence

An assembly process plan for a given product provides the sequence of assembly operations, their times as well as the required tools and fixtures for each operation. Much research has been done on automating and optimizing assembly sequence generation as the most important part of an assembly process plan. A novel method for generating the assembly sequence of a given product based on available assembly sequence data of similar products is presented. The proposed method uses a binary tree form to represent the assembly sequences of an existing family of products. A Genetic Algorithm is employed to find the consensus tree that represents the set of all assembly sequence trees with minimum total dissimilarity distance. This is similar to defining Generic Bill-of-Material. The generated consensus tree serves as a master assembly sequence for the product family. The assembly sequence for a new product variant that falls within, or significantly overlaps with, the scope of the considered family of products can be directly extracted from the derived master assembly sequence tree. The developed method is demonstrated using a family of three control valves. This novel method greatly simplifies and enhances automatic assembly sequence generation and minimizes subsequent modifications, hence, reduces assembly planning cost and improves productivity.     

A fuzzy expert system for the design of machining operations

In this paper, a fuzzy expert system called Smart Assistant to Machinist, or SAM, is introduced. The system consists of four modules: a database, a cutter selection module, a cutting condition design module and a learning module. The database consists of four data files: work material data file, machine tool data file, machining plan data file (which defines desirable material removal rate, surface finish, cutting speed, feed, depth of cut, etc.) and cutter data file. The cutter selection module is developed based on fuzzy logic, in which the cutter selection is conducted in three steps. First, the input information is “fuzzyized” Next, using the fuzzy correlation functions, cutter grades and cutters are selected. Then, the selected grades and cutters are searched against the cutter data file to check the availability. The cutting condition design module is developed based on fuzzy non-linear programming and user interactive graphics. The learning module is developed so that users can fine-tune the fuzzy functions to further improve the performance of the system. The system has two distinct features: (1) it can select cutters and design cutting conditions based on partial and imprecise information, and (2) it selects commercial cutter products used on shop floors. The use of the system is demonstrated using two examples.     

基于多Agent的复杂传动件虚拟装配系统研究

目前虚拟装配系统存在人机交互度低和配置复杂难解决实际问题等弊端,以多级齿轮传动件为对象,将各虚拟零件均设置为一个Agent,提出了一种基于多智能体的复杂多级传动件的人机交互系统的情境装配模型。开发了基于多Agent的复杂传动件装配系统。能按照用户需求进行零件精准装配定位、动力学运动仿真、学习装配知识、装配效果评价等。为复杂传动件提供了虚拟装配、碰撞检测、知识学习及决策的仿真系统,能够提高系统的智能性、人机交互度与装配效率。