【正文】 、特征參數(shù)取值和注射模具設(shè)計系統(tǒng)中所有側(cè)凹類型的確認(rèn)條件。李吉昌提出了一種神經(jīng)網(wǎng)絡(luò)的方法來模擬和優(yōu)化注塑模具澆口參數(shù)。鄭和李提出了注塑成型協(xié)同設(shè)計環(huán)境的一個框架，它指出各個區(qū)域分布的各學(xué)科設(shè)計人員可以相互合作。婁和李沒有運用二維圖紙的標(biāo)準(zhǔn)方法，而是提出了一套用三維實體模型提供初步設(shè)計的方法。李等人運用圖像技術(shù)發(fā)展了一種啟發(fā)式搜索算法，使得塑料注射模具冷卻系統(tǒng)的布局設(shè)計自動操作。DTMOULD1是一個注塑模具成本估算知識庫系統(tǒng)。為了注塑模具設(shè)計，我們開發(fā)了CADFEED。Bozdana和Eyercioglu 開發(fā)了一個專家系統(tǒng)用來測定熱塑性材料注塑成型參數(shù)。從以上的回顧可以看出，大多數(shù)以前的工作，認(rèn)為只有總體設(shè)計的某些方面和其中一些太過理論化而不能應(yīng)用于實際模具設(shè)計，它涉及大量關(guān)于模具功能和結(jié)構(gòu)的實用知識，人類啟發(fā)式知識和經(jīng)驗型知識。此外，對于注射模具設(shè)計在基于網(wǎng)絡(luò)的智能系統(tǒng)方面仍然有相對較少的研究工作。傳統(tǒng)計算機(jī)輔助工程軟件包的優(yōu)勢在于密集信息問題的數(shù)據(jù)處理或?qū)γ芗交瘑栴}的數(shù)量控制。然而，在設(shè)計上的問題，尤其是在模具設(shè)計中，會涉及到一個模具功能和結(jié)構(gòu)的大量實用知識。一般來說，對于模具設(shè)計，KB系統(tǒng)較傳統(tǒng)計算機(jī)輔助設(shè)計系統(tǒng)的優(yōu)勢在于它表述明確是一個知識機(jī)構(gòu)的操作系統(tǒng)，代表著人類的智慧。此外，一貫需要檢查和更新信息，來確保數(shù)據(jù)的準(zhǔn)確和更新，因為模具制造商和標(biāo)準(zhǔn)元器件供應(yīng)商要不斷改進(jìn)和升級他們的設(shè)備和工藝。 系統(tǒng)架構(gòu)圖2基于互聯(lián)網(wǎng)的模具設(shè)計系統(tǒng)的結(jié)構(gòu)根據(jù)實際模具設(shè)計程序和在這一階段需要考慮的問題，推薦基于互聯(lián)網(wǎng)的智能注射模具設(shè)計系統(tǒng)的結(jié)構(gòu)如圖2所示。模具設(shè)計通常涉及復(fù)雜和多元相關(guān)的設(shè)計問題，因此缺乏一個完整的定量化和結(jié)構(gòu)化的方法。所有的設(shè)計活動是有組織的七個功能模塊，它們是型腔布局設(shè)計、進(jìn)料設(shè)計、散熱設(shè)計、模具制造、模具頂出設(shè)計、模架的選擇和標(biāo)準(zhǔn)件的選擇。 本文介紹了針對注射模具設(shè)計原型網(wǎng)絡(luò)智能系統(tǒng)的開發(fā)。一個Java功能的解決方案與人工智能技術(shù)結(jié)合起來是用來建立這樣一個網(wǎng)絡(luò)的交互式計算機(jī)輔助設(shè)計系統(tǒng)。本方法將完整的設(shè)計問題分解成若干個子問題并且為這些子問題的解決方案開發(fā)基礎(chǔ)知識。 附件2：外文原文（復(fù)印件）AbstractThe rapid growth of Internet and information technologies in recent years provides a solution to support and facilitate collaborative product developments among different geographically distributed enterprises. An effective and feasible tool to aid the collaborative development of injection moulds can be realized by developing an Internetbased mould design system as one of the modules of a collaborative product development system. This paper presents a prototype Internetbased intelligent design system for injection moulds. The architecture of the system consists of an interactive KB mould design system embedded in an Internet environment. A Javaenabled solution together with artificial intelligence techniques is employed to develop such a networked interactive CAD system. In this system, the putational module, the knowledge base module and the graphic module for generating mould features are integrated within an interactive CADbased framework. The knowledge base of the system would be accessed by mould designers through interactive programs so that their own intelligence and experience could also be incorporated with the total mould design. The approach adopted both speeds up the design process and facilitates design standardization which in turn increases the speed of mould manufacture. A practical case study is presented to illustrate the operations of the Internetbased mould design system. 2006 Elsevier Ltd. All rights reserved.1. IntroductionPlastic, which is one of the most versatile in the modern age, is widely used in many products throughout the world. Due to its ability to produce plex shape plastic parts with go od dimensional accuracy and very short cycle times, injection moulding has bee the most important process for manufacturing plastic parts in the plastic industry today. However, the current plastics industry is under great pressure, due to the globalization of the market, the short life cycle of pro duct development, increasing product diversity, high demand of product quality. To meet such requirement s, it is very important for this trade to adopt various advanced technologies which include information and Intern et technology, CAD/ CAE/C AM integration technology, concurrent engineering, artificial intelligence, and so on, to effectively aid the development of injectionmoulded product.In injection moulding, the design of a mould is of critical importance for pro duct quality and efficient processing. In most cases, quality of mould is responsible for the economics of the entire process . Injection mould design involves extensive empirical knowledge (heuristic knowledge) about the structure and functions of the ponents of the mould. Nowadays, mould design faces with increasing deadline pressures and the design its elf is predominantly ba sed upon experience of the mould designer. Mould designers are required to possess thorough and broad experience, because detailed decisions require the knowledge of the interaction among various , it is presently impossible to cover the growing demand for such experienced designers. Therefore, intelligent CAD tools that can assist in t