PDM在科学仪器共用网络设计中的应用

概述了PDM的发展过程和应用范围，分析了PDM的体系结构及其功能，从PDM的实施步骤、实施阶段、实施层次等方面讨论了PDM的实施方法。在实际应用过程中，通过PDM工具及技术平台的选用和数据管理，完成了科学仪器共用网络设计与建设，证明了应用PDM解决问题的可行性。     

产品数据管理在砂带磨床生产企业中的应用与研究

从某砂带磨床生产企业实际需求出发，针对其在PDM应用过程中的实际问题，提出了符合该企业特点的PDM解决方案，并探讨了其PDM的技术难点和实施步骤，最后分析了实施PDM后该企业取得的效益。     

PDM系统选型经验介绍

通过介绍制造业在信息化实施过程中出现的信息化孤岛及解决方案——产品数据管理系统(PDM)的提出和PDM特点,指出实施过程中出现在认识上的误区、实施步骤中可能存在的问题等,讲述企业应根据自身情况采取的方法,步骤和其他应注意事项,特别是对软件供应商及其软件产品的要求。     

关于PDM在橡机行业中实施的应用

介绍了PDM系统在橡机行业中的实施，如CAD／PDM封装技术、物料管理、软件实施步骤等。分析了在橡机行业实施PDM的关键点。     

关于PDM系统选型的探讨

通过时柳二空机械股份有限公司PDM管理系统在选型过程中工作经验的介绍，主要从总体目标，选型原则，选型步骤等几个方面展开。为同行业在实施PDM管理系统的选型工作时提供借鉴。     

PDM实施过程中的非技术因素研究

讨论了PDM实施在PDM系统中的重要性，分析了PDM在实施过程中的各种非技术因素，在此基础上建立了PDM分层实施模型，该模型能够清楚表达PDM实施中各种技术和非技术因素的联系，指导PDM在各个阶段的实施，协调实施方和被实施方人员之间的沟通，使实施过程能够在有限的外部资源约束下最大限度地朝着双方所期望的方向发展。     

PDM系统在企业中的实施

以新疆石油管理局机械制造总公司PDM系统为例,介绍了企业在实施PDM系统前面临的问题、实施目标的确立、软件的选择和实施步骤与体会。     

中小企业PDM实施过程和方法研究

成功的PDM实施在很大程度上取决于实施目标,实施方法和实施过程。本文对中小企业PDM的实施路线,实施过程和方法进行研究,总结出与当前我国大部分中小企业信息化过程中相适应的PDM实施流程、路线、过程事项等,对提高项目成功率,以及企业的项目规划都具有很好的借鉴意义。     

知识管理与数字化设计管理平台促进北奔重汽持续创新

全面介绍了北奔重汽PDM项目实施过程的背景、步骤和经验,论述了PDM不仅是产品数据管理的平台、设计过程的管理平台,更是企业知识管理的平台,并结合北奔重汽PDM推广应用的成果,提出了企业信息化工作是对企业现有管理模式进行再造的过程,强调企业信息化是一个人机结合的系统,工作的主要难点是对管理的改革,对于有效地推动国有企业的信息化战略和深化应用具有十分重要的借鉴作用.     

PDM的分层次实施及关键点技术研究

成功的PDM实施在很大程度上更多地取决于实施目标、实施方法和实施过程,而不是技术因素。企业PDM实施是一个系统工程,传统的串行实施方法已不能满足PDM发展的需要,企业通过分层次的PDM目标实施,结合循环并行的实施过程和方法,再注重实施流程中关键节点的把握,不但能降低企业实施PDM的风险,而且能提高实施的成功率。     

Real-time monitoring of complex sensor data using wavelet-based multiresolution analysis

Advancements made in sensor technology have resulted in complex sensor data that captures multiple process events. Real-time monitoring of complex manufacturing processes, such as nano-scale semiconductor polishing, often requires analysis of such complex sensor data. The multiple events in a process occur at multiple scales or frequencies (also referred to as multiscale) and are localized at different points in time. Recent literature contains several wavelet decomposition based multiscale sensor data analysis techniques including those that are developed for process monitoring applications, such as tool-life monitoring, bearing defect monitoring, and monitoring of ultra-precision processes. However, most of the above mentioned wavelet-based sensor data analysis techniques are designed for offline implementation. In an offline method, one can perform wavelet decomposition of longer data lengths in order to capture information needed for monitoring. However, this is computationally involved and needs longer processing time, which becomes a serious challenge in online (real time) applications. This paper first presents a complete online multiscale process monitoring methodology. The methodology is designed to deal with real-time analysis and testing of very high rate of process data collected by sensors. This is particularly critical and becomes a challenge for high rate of data collection by the sensors which pose additional difficulty of matching data processing rate with the data acquisition rate. The methodology is capable of displaying the analysis results through real time graphs for ease of process supervisory decision making. The methodology is demonstrated via a nano-scale silicon wafer polishing application. Sufficient details of the application are provided to assist readers in implementing this methodology for other processes. The results show that the methodology has the ability to deal with high rate of data collection as well as multiscale event detection.     

New criterion for evaluating the aptitude of measurement systems in process capability determination

In practice, carrying out statistical process control of manufacturing processes requires the use of measurement systems. These systems are not totally reliable because they are subject to inherent variability. This paper investigates the influence of measurement uncertainty on the analysis of manufacturing process capability. A new methodology is described that helps overcome the effect of measurement uncertainty in order to obtain a more accurate assessment of the capability of the production processes. This methodology presents a solution that ensures the metrological confirmation of the measurement processes, and it was developed for manufacturing processes centred at a nominal value and for off-centred processes. Moreover, an improved capability index integrated into the statistical process control is proposed for evaluating measurement systems. The index helps identify manufacturing process quality risks associated with uncertainty in measurement systems.     

Creative mechanism design for a prosthetic hand

In this paper, an auxiliary methodology called the creative mechanism design is introduced into the innovation of gripping devices for prosthetic hands. This methodology is a systematic approach based on modification of existing devices for the generation of all possible topological structures of mechanisms and mechanical devices. An existing gripping device (Teh Lin ATG-5F prosthetic hand) constructed by a planar six-bar linkage with one degree of freedom is dealt with by using this methodology. Through the processes of generalization, number synthesis, specialization and particularization for the existing design, five new mechanisms are created in this study to apply to anthropomorphic prosthetic hands. The results show that the methodology for creative mechanism design is a powerful tool for creating new categories of mechanisms to avoid existing designs that have patent protection and can help designers in the conceptual phase. Also, this methodology is validated as a useful way to improve prosthetic hands for amputees.     

CAPP中箱体类零件信息描述的一种新方法

本文提出了一种C APP中面向箱体类零件的信息描述方法,它通过方位描述、轮廓描述、形面描述等多个处理过程,来满足(A PP对零件信息描述的要求。最后本文介绍了以这种描述方法为依据所开发的交互式零件信息输入系统。     

A cost-tolerance model for process sequence optimisation

This paper concerns the modelling of cost-tolerance data for various manufacturing processes and the optimisation of process sequences based on minimum production cost. A natural spline model representing the cost-tolerance relationship is introduced. A methodology to optimise the process sequences is developed using an expert system approach. An example to illustrate the methodology and the optimisation model is presented     

A new CAD/CAM/CAE integration approach to predicting tool deflection of end mills

Focusing on a low price segment is usually not an option for production companies in high-wage countries. In order to stay competitive, companies have to match individual products with prices close to those of mass products. A proven instrument in reducing costs in manufacturing processes is modularization. In the die casting industry, many manufacturers already have company specific methods of modularization in their construction departments. The dies are strongly influenced by the style of the design engineers. A holistic design methodology is not yet established. To improve this current situation, a methodology for the layout of modular dies has been developed. The methodology consists of three main phases where the focus is narrowed down from company via die to component perspective. This methodology will assist the design engineers throughout the development of new dies, helping to choose an appropriate set of modules based on technical as well as economic criteria.     

An improved methodology for the experimental evaluation of tool runout in peripheral milling

The modeling of cutting forces plays an important role in the progress of research and technology in most machining processes. In particular, peripheral milling is a cutting process difficult to model due to the large number of variables involved. Among these variables, tool runout affects process performance by modifying milling force patterns, shortening the tool life and machine components, and by degrading workpiece quality. In this paper, a methodology to evaluate tool runout in peripheral milling is presented. The use of a boring toolholder is proposed to make controllable changes in the tool offset that modifies tool runout. In addition, the proposed methodology has been validated by means of a piezoactuator-based system that allows tool runout compensation through controlling workpiece displacement. Experimental and simulated results presented in this paper reveal the practical applications of this methodology for researchers and engineers involved in the practice of milling and its modeling.     

Design for Six Sigma

The concept of implementation of Six Sigma methodology was pioneered at Motorola in the 1980s with the aim of reducing quality costs. Six Sigma methodology has evolved into a statistically oriented approach to process, product or service quality improvement. It is a business performance improvement strategy used to improve profitability, to drive out waste in business processes and to improve the efficiency of all operations that meet or exceed customers' needs and expectations. A performance level of Six Sigma equates to 3-4 defects per million opportunities, where sigma is a statistical measure of the amount of variation around the process average. The average sigma level for most companies is three sigma. The authors offer guidance as to how companies may achieve Six Sigma performance. Organisations that have adopted the principles and concepts of Six Sigma methodology have realised that once they have achieved Five Sigma quality levels the only way to surpass the Five Sigma quality level is to redesign their products, processes and services from scratch. These circumstances have led to the development of what we call today 'design for Six Sigma'. Design for Six Sigma is a powerful approach to designing products, processes and services in a cost-effective and simple manner, to meet the needs and expectations of the customer     

并行加工过程的公平控制器设计方法

针对共享资源的并行加工过程，提出了一种资源公平分配的控制器设计方法     

Estimating process capability indices of multivariate nonnormal processes

The capability analysis of production processes where there are more than one correlated quality variables is a complicated task. The problem becomes even more difficult when these variables exhibit nonnormal characteristics. In this paper, a new methodology is proposed to estimate process capability indices (PCIs) of multivariate nonnormal processes. In the proposed methodology, the skewness of the marginal probability distributions of the variables is first diminished by a root transformation technique. Then, a Monte Carlo simulation method is employed to estimate the process proportion of nonconformities (PNC). Next, the relationship between PNC and PCI is found, and finally, PCI is estimated using PNC. Several multivariate nonnormal distributions such as Beta, Weibull, and Gamma are taken into account in simulation experiments. A real-world problem is also given to demonstrate the application of the proposed procedure. The results obtained from both the simulation studies and the real-world problem show that the proposed method performs well and is able to estimate PCI properly.