船舶焊接工艺知识管理技术研究

船舶焊接工艺设计涉及的工艺知识范围广泛,用到的信息和知识繁杂。因此,对船舶焊接工艺知识进行系统化表示,建立丰富的工艺知识库,不仅是船舶焊接工艺设计的基础,而且对船舶制造技术的提高具有重要意义。本文基于船舶焊接工艺知识管理系统（SWPKM）的开发,采用了面向对象建模和产生式规则技术,对船舶焊接工艺知识进行了全面分析,论述了船舶焊接工艺知识表示、工艺知识库构建等。     

建安工程焊接工艺的评定

针对建筑钢结构、管道安装、压力容器制造安装工程涉及的焊接工艺评定进行了论述,使工程项目技术管理人员正确地认识和了解焊接工艺评定的分类及不同行业焊接工艺评定标准的针对性、通过对焊接工艺评定的基本概念、目的意义、焊接工艺评定的基本程序及焊接工艺评定的使用和资料的归档管理知识的了解,达到提高焊接工程、产品质量和节约资源的目的。     

基于PDM的工艺设计与管理系统的研究及实现

介绍了一个基于PDM的工艺信息及工艺卡片设计管理系统 ,阐述了系统的主要功能、系统结构及软件组织和特点 .该系统通过产品树结构不仅实现了零件工艺的设计 ,还更好地实现了零件图纸、工艺卡片等各类工艺图文信息的有效管理及快速的检索 .     

不锈钢复合板的焊接

不锈钢与碳钢复合板的焊接,由于其焊接性能不同,经过分析确定坡口位置和施焊工艺,经焊接工艺评定后施焊,取得成功.     

特种设备焊接工艺评定标准亟需整合

通过在施工中应用GB50236等焊接工艺评定标准,列举各标准存在的差异使企业对焊接工艺评定执行的难点,从而提出了将目前锅炉、压力容器、压力管道、特种设备四方面的焊接工艺评定标准进行整合的建议.     

低温管道焊接施工技术

本文基于对低温管道设计特点及其焊接特殊性的分析,经研究,用板状焊接试件(对焊)取代了管状试件,解决了不同管径焊口试验取样困难的问题,科学地简化了焊接工艺评定项目,并提出了焊接低温管道的两种常用焊接工艺。可供同类工程参考借鉴。     

组合焊接方法的焊接工艺的评定方法

NB/T47014-2011《承压设备焊接工艺评定》发布后,相关压力容器制造单位在进行工艺评定的过程中易出现不同程度的不符合。笔者根据自身经验和对标准的理解,通过具体事例对采用组合焊接方法的产品进行焊接工艺评定时的过程和相关要求加以分析,主要介绍了两种方法 ,分别是采用组合焊接方法与分别焊接方法进行组合焊接方法焊接工艺评定。     

35CrMo调质钢的焊接工艺确定

本文针对35crmo钢的焊接工艺特点进行了详细的分析,选择了合适的焊接材料,焊接工艺和焊后热处理措施,采用氩电联焊的方法对φ76×9mm 35crmo钢管进行焊接,并进行了焊接工艺评定,并取得了良好的焊接效果。     

基于C/S的钢材自动焊接工艺设计系统

利用VB的推理功能研制了一个基于Client/Server(客户/服务器,以下简称C/S)模式的焊接工艺设计系统,该系统可以被多个用户在企业的局域网上同时使用.本系统可针对常用钢材的常用焊接方法实现自动焊接工艺设计.此外,系统提供了方便的数据库及知识库维护方法,企业可以根据需要补充和更新焊接知识库,不断提高系统的实际应用价值.     

基于Web的工艺知识资源服务与管理系统

在分析了当今制造企业对工艺知识资源服务与管理的迫切需求的基础上，提出了基于Web的工艺知识资源服务与管理系统，该系统面向企业内部网（Intranet），包括前台工艺知识资源服务系统和后台工艺知识资源管理系统两部分，前台系统为制造企业内部人员提供知识检索服务，后台系统作为工艺知识管理工具和前台的动态维护工具，文中介绍了系统的结构和功能以及关键实现技术。     

Development and application of software packages in welding engineering

The weldability of some material is analyzed with simple calculating program in this paper, and weldability testing data are shared through database system. The welding procedures are designed with help of expert systems, and the knowledge is shared among welding engineers. Not only the preparing progress of the welding documents is completed with database systems but also the complex decision on the necessity of the qualification test according to the present procedure qualification records (PQRs) and manufacture codes is made. Moreover, the artificial neural network (ANN) technique is proven to be one of the effective ways to predict mechanical properties of welded joints when there are enough tested data to train the models. Finally, the achievements in modeling microstructure of welded joints are introduced, especially in solid transformation and grain growth in both heat-affected zone (HAZ) and welded molten pool.     

特征展开三I Fuzzy推理模型及其在专家系统中的应用

推导出了专家系统中基于三Ⅰ机制的特征展开Fuzzy推理模型。以作物病虫害的诊断与防治专家系统为实例，在雄风4.1专家系统开发平台中，巧妙运用规则对象块的“规则架 规则体“的规则组织知识表示方法，实现了该平台上的特征展开三ⅠFuzzy推理。给出了其Fuzzy EBNF语法定义，讨论了采用知识表示策略实现Fuzzy推理的灵活优越性。该模型在雄风系列专家系统开发平台中尚属首次使用，并且具有广泛的适用性。     

Expert process planning system with solid model interface

Artificial intelligence (AI) techniques provide various tools for use in the development of automated process planning systems. AI can be utilized for automated reasoning about the shape, features and relationship between features and for development of expert systems for creating the process plan itself. Most of the previous work on AI in process planning deals with one specific application. This paper presents an integrated hierarchical framework of a process planning system with a CAD interface. The objective of the project discussed in the paper is to integrate design with process planning using AI techniques. The development of a CAD interface is discussed with respect to automated feature recognition, determination of tool approach direction and deciding the precedence relationship between the features. Sample results from the CAD interface are presented. The expert system for the process planning module is discussed with the part representation and knowledge base and the plan generation procedure. The module uses hierarchically organized frames for both part representation and the knowledge base. Some initial results are presented from the process planner to demonstrate the current capability of the system.     

大型调水工程索赔管理决策支持系统的研究和实现

针对我国大型调水工程建设施工索赔经验少、索赔专家稀缺的实际情况,将人工智能中的基于事例推理(CBR)技术和基于规则推理(RBR)技术应用于索赔管理,将以往的水利工程索赔事例以一定的结构和方式存储,设计并实现了基于知识的施工索赔决策支持系统,具有较强的实用性。目前研究应用于某大型调水工程施工管理系统。     

专家系统中知识库与工艺曲线动态修改的研究

知识库构建的适当与否直接关系到专家系统的推理效率和使用情况。本文介绍了精密复杂刀具真空热处理专家系统中知识的表示和知识库的构建;总结了影响真空热处理工艺参数的因素,以专家知识的形式存储在知识库中,奠定了坚实的数据基础;论述推理模块的工艺曲线动态修改功能,并给出了精密复杂刀具真空热处理专家系统的具体实例。     

The Principle and Architecture of a Hybrid System of a Neural Network and an Expert System in Intelligent CAD of Electrical Machines

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A performance evaluation of three inference engines as expert systems for failure mode identification in shafts

This paper aims to present performance evaluation of three different inference engines (rule based reasoning, fuzzy based reasoning and Bayesian based reasoning) for failure mode identification in shafts. This research was done with a focus on the validation cases and results after their use in failure cases from several industries where the three systems were tested under the same conditions.Each system was implemented using the same user interface and knowledge base, with different frameworks and techniques as follows: rule based inference reasoning (prolog, C#), Mamdani-fuzzy based reasoning (C, MATLAB®) and Bayesian based reasoning with a variable elimination algorithm (C, MATLAB®).The best performance was obtained using the Bayesian inference engine. The conditional probabilities give flexibility when evidence is not listed, while the fuzzy and classical IF-THEN systems depend on the rules in the inference engine.The process presented in this paper could be used for validation of any expert system or for comparison with other expert systems (inference engines) when the knowledge base is the same.     

知识的层次表示和推理的非单调真值维护的研究

研究了专家系统中知识的多重表示情况下推理的非单调真值维护。指出了专家系统中知识的多重表示的必要性，以及知识的多重表示情况下可能出现的推理的不一致性。着重讨论了知识的层次表示和优先级的划分。基于领域知识的优先级，分层ＡＴＭＳ被用来实现推理的非单调真值维护。给出了Ｓｔｒａｔｉｆｉｅｄ ＡＴＭＳ的推理和真值维护的算法。     

OPSYN: A CAD BASED EXPERT SYSTEM FOR OPTIMUM STRUCTURAL SYNTHESIS

This paper presents an overview of an expert system, OPSYN, for optimum structural synthesis, with particular emphasis on the significance of the development environment for such systems. The knowledge base for this system includes rules for facilitating finite element modeling, optimum design modeling, and selection of optimization strategies and parameters. The environment for this development is an inference engine with both forward and backward reasoning capabilities, a detailed explanation facility, and an automated knowledge acquisition system with a knowledge base editor facility. The use of a computer aided design (CAD) interface with its significant data structure and graphics capabilities in the knowledge acquisition and knowledge representation process is demonstrated with this expert system.     

Expert Diagnosing system for a Rotation Mechanism Based on a Neural Network

By combining the artificial neural network with the rule reasoning expert system,an expert diagnosing system for a rotation mechanism was established.This expert system takes advantage of both a neural network and a rule reasoning expert system;it can also make use of all kinds of knowledge in the repository to diagnose the fault with the positive and negative mixing reasoning mode.The binary system was adopted to denote all kinds of fault in a rotation mechanism.The neural networks were trained with a random parallel algorithm (Alopex).The expert system overcomes the self-learning difficulty of the rule reasoning expert system and the shortcoming of poor system control of the neural network.The expert system developed in this paper has power ful diagnosing ability.