支持产品模型数据交换标准的模具产品建模

针对先进制造系统的需求,参考ＳＴＥＰ标准,进行了支持ＳＴＥＰ标准的模具产品集成建模的研究。建立了模具产品模型的总体结构,具体分析了其核心部件－模具产品集成信息模型（ＤＰＩＩＭ）,并研究了模具产品模型中应用协议的开发过程,为模具产品开发提供了基于统一标准的参考模型。     

基于STEP标准的CAD与CAPP信息集成

说明了基于标准数据存取接口生成ＳＴＥＰ中性文件实现数据交换的基本思路，提出了一个ＣＡＤ与ＣＡＰＰ系统通过ＳＴＥＰ中性文件实现信息集成的方案及一个完整的零件信息模型最后用一个基于ＡｕｔｏＣＡＤ的特征造型系统给出了实施范例。     

基于 STEP 标准的 CAD 与 CAPP 信息集成

说明了基于标准数据存取接口（ＳＤＡＩ）生成ＳＴＥＰ中性文件实现数据交换的基本思路，提出一个ＣＡＤ与ＣＡＰＰ系统通过ＳＴＥＰ中性文件实现信息集成的方案及一个完整的零件信息模型。最后用一个基于ＡｕｔｏＣＡＤ的特征造型系统给出了实施范例。     

基于STEP的装配CAD／CAPP集成研究

基于ＳＴＥＰ标准的装配ＣＡＤ／ＣＡＰＰ集成研究是ＣＩＭＳ中的一个重要研究领域，对于推动信息集成技术的发展具有重要作用。本文介绍了基于ＳＴＥＰ的集成方法；提出了基于ＳＴＥＰ的装配ＣＡＤ／ＣＡＰＰ集成的实现方法与关键问题；开发了集成数据模型。     

基于STEP原理的机械CAD特征信息建模方法

将ＳＴＥＰ的方法和规范应用于机械ＣＡＤ／ＣＡＭ系统开发是解决信息集成的重要技术方法之一。本文在研制汽车后桥园锥齿轮ＣＡＤ的实践中,采用的ＣＡＤ信息建模方法严格按ＳＴＥＰ地零件产品数据采用统一的信息模型,制定了汽车后桥园锥齿轮的应用协议（ＡＣＡＰ）,利用ＳＤＡＩ开发应用程序界面,提出了一种实践ＣＡＤ、ＣＡＰＰ、ＣＡＭ各功能子系统之间的信息集成与共享的方法 。     

TiAl合金PST晶体变形过程与片层界面的交互作用

利用ＴＥＭ原位应变技术研究了ＰＳＴ晶体变形过程中位错，孪晶与片层界面的交互作用。发现α２／γ界面对孪生和位错滑移的强烈阻碍是ＰＳＴ晶体在硬取向下具有高屈服强度和低塑性的重要原因。     

基于特征CAD建模

本文介绍一种基于特征ＣＡＤ建模方法，该方法根据ＣＡＰＰ／ＣＡＭ所需信息建立特征库，在ＳＴＥＰ基础上充分考虑形状所具有的工艺特征和制造特性。在ＣＡＤ造型中，通过自学习功能，由特征管理器获取实际零件特征，不断动态扩充特征库，解决特征库种类有限问题，使ＣＡＤ造型具有较好的柔性和实用性。     

基于STEP的CAPP系统产品模型及其集成技术研究

本文论述了基于ＳＴＥＰ的ＵｏＦ／ＡＩＣ集成机制以及不同应用领域ＵｏＦ集之间的映射机制提出了一种产品模型信息共享的方法－不同领域产品模型数据间ＵｏＦ集的映射。     

4,4‘—MDPE合成工艺研究

本文就在４，４＇－ＭＤＰＥ的合成工艺进行了研究，着重讨论了ＤＰＥ氯甲基化反庆产物的组成和影响４，４＇－ＣＤＰＥ的工艺配方和工艺条件。     

光子扫描隧道显微镜探测场的数值模拟计算

对光子扫描隧道显微镜（ＰＳＴＭ）的显微成象机理。扫描探测模型做了较为系统的分析和论述。针对具体的探测模型，利用微机编程计算ＰＳＴＭ探测光场的空间分布，并对场分布随扫描控制参量的变化规律进行系统的研究，得到了与实际探测结果一致的分布规律，最终为ＰＳＴＭ的显微成象技术提供了更为具体的理论指导。     

基于KBE的冲压件自评价工艺方案设计

工艺方案的决策与评估是复杂冲压件工艺设计的关键部分,也是影响工艺设计智能化程度的重要技术问题。根据复杂冲压件工艺方案设计过程和专家经验,借助知识工程多智能决策技术,进行了复杂冲压件可行性工艺方案的设计,并运用价值工程和加权法将量化评价模型有机地融入智能决策系统中,实现了基于KBE的复杂冲压件自评价工艺方案设计。     

A Markov Model for Quality Control Plan Selection

A Markov chain model is developed which provides a measure of the cost of using alternative plans to control the output quality of productive processes. Such a model provides a yardstick for selecting the “best” control plan structure for a given process. The model structure is explained by presenting the example of a two-state process controlled by a plan which executes corrective action on the first defective sampled.     

Integrative process plan model and representation for intelligent distributed manufacturing planning

Process planning is one of the key functions for product design and manufacturing. Process plans have very great impact on all phases of product design and manufacture. Therefore, it is necessary to establish a high level of interaction between different product design activities and their tight integration into a coherent system. In this paper we describe a process plan model that allows for such integration. The framework for integration is briefly described and the process plan model that considers three dimensions of planning is explained. The manufacturing process plan model is defined as a three-dimensional model with the following dimensions: time/order, variability/alternatives, and aggregation. All three dimensions are defined and explained as they relate to overall manufacturing planning. The nature of these dimensions is illustrated with several examples. The implementation of the framework and the model within the distributed system IMPlanner is presented. The prototype has been implemented in the Java language and the model for data storage has been implemented in XML. The benefits of integrated consideration are described for several currently implemented applications such as feature modelling, process visualization, process network generation, cell formation, and scheduling.     

Developing a model‐based sampling plan

Statistical process modeling is widely used in industry for forecasting the production outcomes, for process control and for process optimization. Applying a prediction model in a production process allows the user to calibrate/predict the mean of the distribution of the process outcomes and to partition the overall variation in the distribution of the process outcomes into explained (by the model) and unexplained (residuals) variations; thus, reducing the unexplained variability. The additional information about the process behavior can be used prior to the sampling procedure and may help to reduce the required sample size to classify a lot. This research focuses on the development of a model‐based sampling plan based ontextitCpk (process capability index). It is an extension of a multistage acceptance sampling plan also based on Cpk (Negrin et al., Quality Engineering 2009; 21 :306–318; Quality and Reliability Engineering International 2011; 27 :3–14). The advantage of this sampling plan is that the sample size needed depends directly and quantitatively on the quality of the process (Cpk), whereas other sampling plans such as MIL‐STD‐414 (Sampling Procedures and Tables for Inspection by Variables for Percent Defective, Department of Defense, Washington, DC, 1957.) use only qualitative measures. The objective of this paper is to further refine the needed sample size by using a predictive model for the lot's expectation. We developed model‐based sample size formulae which depend directly on the quality of the prediction model (as measured by R²) and adjust the ‘not model‐based’ multistage sampling plan developed in Negrin et al. (Quality Engineering 2009; 21 :306–318; Quality and Reliability Engineering International 2011; 27 :3–14) accordingly. A simulation study was conducted to compare between the model‐based and the ‘not model‐based’ sampling plans. It is found that when R² = 0, the model‐based and ‘not model‐based’ sampling plans require the same sample sizes in order to classify the lots. However, as R² becomes larger, the sample size required by the model‐based sampling plan becomes smaller than the one required by the ‘not model‐based’ sampling plan. In addition, it is found that the reduction of the sample size achieved by the model‐based sampling plan becomes more significant as Cpk tends to 1 and can be achieved without increasing the proportion of the classification errors. Finally, the suggested sampling plan was applied with areal data set from a chemicals manufacturing process for illustration. Copyright © 2011 John Wiley & Sons, Ltd.     

Planning in a Total Quality Company: A Case Study of Tubemakers of Australia Limited

ABSTRACT

Tubemakers of Australia Limited is a major Australian company that has developed a strategic planning process based on the principles of total quality management (TQM). The process is highly participative, with input from the board of directors to the shop floor. This approach generates a high level of commitment to the plan at all levels. The plan, however, is not rigid, and each business unit uses its plan as its day-to-day operations manual, reviewing and updating it as often as necessary.

This planning model, as developed by this company, is effective in integrating the planning process into the company's operations. The company is now pursuing a more formalized, coordinated TQM approach, and, in conjunction with this, the planning process is being modified to more closely match the Japanese Policy Deployment (Hoshin) model. The development of an effective strategic planning process in conjunction with an effective TQM operating style should serve as a model for other organizations.     

Tolerance chart optimization

A tolerance chart is a graphical representation of a process plan and a manual procedure for controlling tolerance stackup when the machining of a component involves interdependent tolerance chains. This heuristic, experience-based method of allocating tolerances to individual cuts of a process plan can be embodied in a computer-based module. This paper introduces a graph theoretic representation for the tolerance chart. A special path tracing algorithm is used to identify tolerance chains from this graph. Optimal tolerance allocation among individual cuts is achieved using a linear goal programming model instead of existing heuristic methods. A more comprehensive mixed integer programming model is developed to incorporate linear tolerance cost functions and alternative process selection.     

An intelligent process planning system for micro turn-mill parts

An attempt has been made to develop a generalised system for the generation of process plan for the manufacture of micro parts in this work. It has two components; first one deals with automatic part feature extraction from feature-based model and second one performs the execution of process planning activities in accordance with feature using knowledge-based system approach. The proposed system maps extensible markup language (XML) data for the feature based-model and produces the corresponding manufacturing activities needed for the manufacture of micro parts. The process plan modules considered in this work includes process sequence, tools and fixtures, process parameters selection and set-up plan generation. An attempt has been made to develop process parameters selection module based on experimental investigation and optimisation apart from manufacturing catalogues and user manuals. Feature extraction through XML files avoids complex feature extraction process. The application of the developed system has been verified with a case study. The present system is limited to micro turn-mill features. Incorporation of more micro features and consideration of other activities of process plan ensures a complete process planning system for micro-machining processes.     

模块化生产在复杂系统制造过程的运用研究

基于复杂系统制造过程对完善生产资料准备、缩短制造周期、增强生产计划控制力、提升高端制造业发展水平的迫切要求,根据模块化理论、制造工艺、项目管理、最优化理论等方法,构建复杂系统制造模块顺序网络图,并建立求解制造周期的整数规划模型,最后举出实例,运用优化求解软件CPLEX得出整个系统制造周期及对应的关键制造路径,运用求解结果制定生产资料准备计划及生产计划,发现模块化技术实行后,生产计划及生产资料准备计划实现最大并行化开展,且生产资料准备先于生产计划开展前完成,整个系统制造周期大大缩短,验证了模型的有效性、准确性和优越性。     

箱体零件CAD／CAPP／CAM集成系统的研究与实践

在ＣＩＭＳ环境下，针对箱体零件ＣＡＤ、ＣＡＰＰ、ＣＡＭ信息集成的功能需求，在基于特征的箱体零件信息模型、工艺计划模型与服务于工艺设计的制造环境模型的支持下，开发出了特征造型，工艺设计及加工过程仿真与ＮＣ编程等子系统，从而完成了一个集成化的箱体零件ＣＡＤ／ＣＡＰＰ／ＣＡＭ系统。