基于ARX的注塑模具CAD系统

本文介绍了AutoCAD环境下ARX应用程序的特点、类库组成和程序结构．基于ARX的开发环境构筑了注塑模具CAD系统（IMCAN）,系统能够根据输入的参数,智能性、交互性地完成注塑模具的设计,极大提高了模具设计的速度、同时给出了系统实现过程,并进行了程序举例．     

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Pro/E机械自动化软件的注塑模具的设计

计算机辅助设计（Computer-Aided Design,CAD）、计算机辅助工程（Computer-Aided Engineering,CAE）及计算机辅助制造（Computer-Aided Manufacturing,CAM）技术在模具研究设计方面是注塑模具发展过程中的重要支撑,这些技术的应用能够使得注塑模具的设计质量、水平得以提升,缩短研发周期,降低生产成本。基于此,本文针对注塑模具的技术展开了全面的研究,包括注塑模具的浇注系统设计、冷却系统设计以及数控加工等。另外,探究了如何借助Pro/E软件和建模实现数据加工编程以及模具设计,最后通过仿真模拟确定了注塑模具的NC程序,对基于Pro/E的注塑模具设计发展具有重要的参考作用。     

使用Pro/ENGINEER进行注塑模具设计

在注塑产品的开发过程中,模具的设计和制造决定了塑料件的最终质量和成本。本文以某注塑模具的设计为例,介绍了Pro/ENGINEER的特点以及在注塑模具设计中的应用,为高质量模具的设计和制造提供了一条途径。     

基于JAVA的工程设计KBE专家系统研究

该文研究了工程设计中基于知识的专家系统。首先,探讨了工程设计KBE专家系统中的知识表示和体系结构;然后,研究了基于JAVA的KBE专家系统,最后,在三维CAD和仿真系统环境下开发了KBE专家系统,验证了该文方法的有效性。     

应用NX MoldWizard实现注塑模具的评估与设计

本文以一电动工具外壳的模具设计为例,介绍了基于NX平台的注塑模具设计流程,阐述了作为模具设计专家系统的NXMoldwizard模块在数字化设计过程中具有的应用优势,并对模具CAD／CAE／CAM--体化有所贡献。     

应用NXMoldWizard实现注塑模具的评估与设计

本文以一电动工具外壳的模具设计为例,介绍了基于NX平台的注塑模具设计流程,阐述了作为模具设计专家系统的NXMoldwizard模块在数字化设计过程中具有的应用优势,并对模具CAD／CAE／CAM--体化有所贡献。     

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.     

基于混合神经网络与遗传算法方法的注塑参数优化

建立了基于混合神经网络与遗传算法方法的注塑工艺参数优化系统，用Matlab语言编制了应用程序，对神经网络的参数预测与遗传算法的优化过程进行求解。将网络预测结果与CAE模拟结果进行比较和误差分析，显示出BP网络的稳定性和可靠性；优化结果经CAE模拟和实验验证，证明是正确的，表明基于混合神经网络与遗传算法方法的注塑工艺参数优化方法是可行的。     

注塑模具设计与制造标准化体系的研究

模具是工业生产中的基础工艺装备,也是制造业中影响面广、使用量大的工业产品,一个国家制造业水平高低可以通过模具的技术水平的高低来衡量。提高模具设计与制造标准化水平,能够较好地提高工作效率、减少重复性的劳动。本文首先阐述了注塑模具标准化的发展,其次,探讨了注塑模具设计与制造标准化体系框架,同时,研究了注塑模具设计与制造标准化技术,具有一定的参考价值。     

基于小波神经网络的结晶器漏钢预报技术研究

介绍了预报粘结性漏钢的基本方法,并对结晶器热电偶测得的大量温度数据进行预处理,再利用小波神经网络技术对经过预处理的检测数据进行训练,优化神经网络系统的结构和参数,识别出具有漏钢征兆的波形,提高了预报系统的精度和快速性;给出了用MATLAB实现的网络训练和测试的仿真结果,同时用VC开发了能识别结晶器内单偶、横向、纵向漏钢征兆温度波形的仿真系统。     

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.     

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。     

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.     

Adaptable methodology for automation application development

An adaptable methodology for automation application development (AMAAD) is introduced. This development methodology is based on the key concept that design automation (DA) applications are a subset of higher level knowledge-based engineering (KBE) applications, and thus can be developed using a subset of KBE methods. The proposed methodology is largely built upon two existing KBE methodologies: CommonKADS and MOKA, which have become popular models for automating engineering processes. The proposed extension of these methods introduces flexibility to tailor the process for producing automation software to the specific needs of the problem through the specification of a number of attributes. These attributes are linked to subtasks in the key lifecycle phases of application development. This proposed methodology provides a link between KBE and DA applications and provides structure to the application development process. A software tool was written to facilitate the process of identifying the capability needs of an automated solution, and providing detail of the tasks to be followed for its development.     

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.     

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.     

A computer-aided design system for framed-mould in autoclave processing

The general computer-aided design (CAD) software cannot meet the mould design requirement of the autoclave process for composites, because many parameters such as temperature and pressure should be considered in the mould design process, in addition to the material and geometry of the part. A framed-mould computer-aided design system (FMCAD) used in the autoclave moulding process is proposed in this paper. A function model of the software is presented, in which influence factors such as part structure, mould structure, and process parameters are considered; a design model of the software is established using object oriented (0-0) technology to integrate the stiffness calculation, temperature field calculation, and deformation field calculation of mould in the design, and in the design model, a hybrid model of mould based on calculation feature and form feature is presented to support those calculations. A prototype system is developed, in which a mould design process wizard is built to integrate the input information, calculation, analysis, data storage, display, and design results of mould design. Finally, three design examples are used to verify the prototype.