基于知识驱动的产品开发系统研究与实现

知识工程与CAD技术的结合已成为先进制造与自动化技术研究的热点。论文分析了CAD技术发展历程,以UG/KF为背景,阐述知识驱动下的产品开发原理和方法。提出基于知识驱动的产品开发系统体系结构并研究其实现的关键技术。在UG/KF平台上研制出断路器产品开发系统KBE-BDS。     

基于KBE的模具型腔设计系统

为了解决模具型腔设计过程中信息集成和知识经验共享问题,提出将基于知识的工程（knowledge basedengineering,KBE）技术引入模具的型腔设计过程,并构造了基于KBE的模具型腔设计系统,其中充分采用了特征技术和知识工程技术.特征技术主要解决模具型腔设计各阶段的信息集成问题,而知识工程技术则主要解决模具型腔设计过程中的知识共享问题.研究结果表明,通过在模具型腔设计过程中引入KBE技术,可以有效地提高模具型腔设计的设计效率,加快模具开发的进程.     

基于KBE与ActiveX的产品参数化设计研究

针对目前尺寸驱动参数化建模方法存在的不足,提出了程序外驱动参数化建模思想,利用面向对象方法开发了基于知识工程(KBE)的机械产品参数化设计平台.该平台以三维CAD系统API模块为接口,采用ActiveX Automation技术,通过消息数据通信,将.NET开发的设计系统与CAD/CAE软件进行无缝集成.以桥式起重机设计为例,在知识重用和产品信息共享的基础上快速实现三维建模与虚拟装配,为数字化设计与制造提供了高效,准确、实用的方法.     

基于多Agent的分布式协同KBE系统框架

针对KBE系统在企业协同环境中应用的不足,提出一种基于多Agent的分布式协同KBE系统框架。在利用Agent技术对已有工程软件包装的基础上,通过多Agent的协同和交互,在系统和知识层面上实现并协调设计过程。为了支持跨领域的知识共享和重用,通过建立广义产品知识库来实现不同领域知识的描述和管理。     

UGS发布UG V17 版本

UGS公司10月19日发布其工业领先的、高端CAD/CAM/CAE软件的最新版本——UG V17。新版本的发布，使UGS成为工业界第一个可装载包含深层嵌入“基于工程知识”（KBE）语言的世界级MCAD软件产品的主要供应商。利用UG V17，制造业公司在产品设计中可以通过一个叫做“Knowledge Driven Automation”（KDA）的处理技术来获取专业知识。KDA是在1999年9月宣布的UG预言工程功能的基础上建立的。UGS发布UG V17 版本     

知识驱动的覆盖件模具拉深工序件设计

一、引言在覆盖件模具设计过程中,拉深工序件的设计理(CBR)、基于规则的推理等方法,希望通过对已有的设计结果进行修传统的专家系统包括知识库和推理机,设计知为此,笔者在开发智能化覆盖件模具系统时采二、基于知识工程的覆盖件工艺设计模型1.知识工程(KBE)的概念知识工程(KBE,     

基于UG-MoldWizard平台的摩托车塑件产品KBE系统

本文以摩托车塑件产品为基础,深入讨论了KBE的内涵和特点,以UG-MoldWizard为开发平台,构造出注塑模设计KBE系统构架,利用OPEN 程序和知识融合技术,开发出内嵌于UG-MoldWizard平台的摩托车塑件产品KBE系统.     

基于UG/KDA的广义知识库系统的研究与实现

知识工程与CAD技术的结合已成为CAD技术发展的方向之一。提出了广义知识库的概念，给出了基于UG/KDA的广义知识库模型。在此基础上研究了广义知识库的构造方法，主要是采取产生式表示法和面向对象表示法，并给出示例验证该方法的实用性和可操作性。     

利用知识工程进行自行车车架设计

在竞争激烈的市场化要求下,自行车的设计出现了以下两个特点:速度快、造型美观适用.在当代制造工艺已比较成熟的情况下,自行车的造型设计变得相当重要.知识工程(Knowledge Based Engineering,KBE)具有多种知识表示和推理决策的能力,将其运用于快速处理自行车车架的工艺结构设计、造型设计过程及决策过程,可有效处理复杂的工艺知识和各种图形知识,达到快速设计的目的.     

公路客车DRVVS的设计及实现

结合AK公司对公路客车驾驶区域设计过程中的虚拟校核需求,设计了公路客车驾驶区域虚拟校核系统(DRVVS)的体系结构、功能逻辑流程及系统实现的技术方法路线.基于UG NX6.0、SQL Server2000与VC++ 2005开发环境编程,实现了公路客车DRVVS的原型系统,依据AK公司提供的某型客车设计方案,对系统功能的正确性和可靠性进行了有效验证.研究内容为公路客车驾驶区域在虚拟设计阶段综合运用CAD平台、KBE系统、知识资源进行校核提供了新的方法和手段.     

Implementation of knowledge-based engineering methodology in ship structural design

The work presents a knowledge-based engineering (KBE) methodology for ship hull structural member design. In the ship design process, many design tasks need the expertise or design experiences to support them. However, the ship design procedure is a complicated process with many labor-intensive activities. Therefore it is necessary to integrate intelligent design process into ship design. An application developed in a KBE system takes design requirements, applies the knowledge stored in the knowledge base and generates a new design automatically. Knowledge-based engineering methods for ship design are put forward, which combine with the theory of intelligent design. A ship deck design case illustrates the feasibility of the proposed approach. The KBE technology provides appropriate suggestions and support, integrates the information, to avoid conflict and errors. Besides, it also achieves knowledge reuse and accumulation, provides reliable technical support for ship design quality, significantly reduces the design cycle, and promotes working efficiency.     

A critical review of Knowledge-Based Engineering: An identification of research challenges

Knowledge-Based Engineering (KBE) is a research field that studies methodologies and technologies for capture and re-use of product and process engineering knowledge. The objective of KBE is to reduce time and cost of product development, which is primarily achieved through automation of repetitive design tasks while capturing, retaining and re-using design knowledge. Published research on KBE is not very extensive and also quite dispersed; this paper is an effort to collect and review existing literature on KBE. A total of 50 research contributions have been analysed. The main objectives of this analysis are to identify the theoretical foundations of KBE and to identify research issues within KBE, pointing out the challenges and pitfalls that currently prohibit a wider adoption of KBE while suggesting avenues for further research. Key findings include (a) the necessity for improved methodological support and adherence, (b) better transparency and traceability of knowledge, (c) the necessity for a quantitative framework to assess the viability and success of KBE development and implementation projects, and (d) the opportunity to move towards mass customization approaches through distributed deployment of KBE in the extended enterprise.     

A framework for management of Knowledge-Based Engineering applications as software services: Enabling personalization and codification

Literature on Knowledge-Based Engineering (KBE) has identified challenges concerning the personalization and codification of knowledge for new product development, such as maintaining the quality, accessibility and traceability of knowledge for inspection, review and re-use, as well as managing the life-cycle of KBE applications and the knowledge contained within these applications. This paper reports on the development of a framework that realizes the management of Knowledge-Based Engineering (KBE) applications as software services, and in doing so supports the codification and personalization of knowledge that is used in performing knowledge-intensive product development tasks. The developed framework supports the elicitation and structuring of design and manufacturing knowledge, provides the capacity to run KBE applications as remote software services, and facilitates the distribution and lifecycle management of KBE applications and the underlying knowledge. A ‘learning by doing’ approach is supported where knowledge can both be personalized and codified as design progresses and new insights are gained. The framework has been successfully applied in an industrial use case that considers the conceptual design of composite aircraft wing covers.     

Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design

Knowledge based engineering (KBE) is a relatively young technology with an enormous potential for engineering design applications. Unfortunately the amount of dedicated literature available to date is quite low and dispersed. This has not promoted the diffusion of KBE in the world of industry and academia, neither has it contributed to enhancing the level of understanding of its technological fundamentals. The scope of this paper is to offer a broad technological review of KBE in the attempt to fill the current information gap. The artificial intelligence roots of KBE are briefly discussed and the main differences and similarities with respect to classical knowledge based systems and modern general purpose CAD systems highlighted. The programming approach, which is a distinctive aspect of state-of-the-art KBE systems, is discussed in detail, to illustrate its effectiveness in capturing and re-using engineering knowledge to automate large portions of the design process. The evolution and trends of KBE systems are investigated and, to conclude, a list of recommendations and expectations for the KBE systems of the future is provided.     

Knowledge-Based Engineering System and Its Application in Missile Seeker Design

1 Introduction Computer-Aided Design (CAD) systems have been proven to be indispensable tools in many industrial sectors. However, traditional CAD systems are limited to the construction and manipulation of product models; they do not offer decision-making support. The practical use of CAD systems is very labor-intensive. Therefore it is necessary to integrate the various aspects of design process into a unified whole to support automatic product design. Knowledge-Based Engineering (KBE…     

Integrated Digital Design for Radar Typical Structure Using Knowledge Based Engineering

With the deep research of knowledge engineering and the widespread applications of CAD technology, the joining of knowledge engineering with CAD is the focus of advanced manufacturing. An intelligent approach is presented for configurating the typical structural components of radar. Case based reasoning, rule based reasoning, geometric, constraint solving and domain ontology are merged into a compound knowledge model. The main frame and workflow of radar typical structural component design system are illustrated. Experiments show this approach is efficient and effective.     

The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021

Knowledge-based engineering (KBE) is a research field, which evolved in the 1980s within the context of artificial intelligence (AI), computer aided design (CAD) and computer programming. KBE is often referred to methods, processes and tools for knowledge reuse and design automation promising time and cost benefits in engineering design and originally especially in aerospace and automotive industry. Despite the long period of existence, theoretical foundations of KBE are weak and scientific literature is quite dispersed. About a decade ago, a review by Verhagen et al. collected the state of research and identified future research challenges, which has gained impact within the KBE research community. Therefore, within our review we aim at analysing the evolution of those research challenges in KBE literature during the last decade and further provide an overview of current shortcomings from a design research perspective. The analysis comprises 160 publications from the period of 2012 to 2021. Key findings from the review show, that the challenges from 2012 remain unsolved. We further derived that reuse and adoption of KBE approaches from literature is impeded by (1) a missing conceptualization of KBE research, (2) insufficient links from knowledge source to automation and (3) a tendency of insufficient distinction of the application area.     

基于知识的CAD系统的体系结构和关键技术的理论与实践

工程设计是一个知识驱动的创造性过程,KBE技术是促进工程设计智能化的重要途径。本文在深入总结前人研究工作的基础上,系统地论述了基于知识的CAD系统的基本内涵、体系结构和相关的关键技术。产品建模的核心问题是建立相关的知识模型和计算模型。本文对知识模型和计算模型,以及它们之间的关系进行了分析。