基于proe的三通管件的結構設計-預覽頁

　

【正文】 由此表可得計算所需x值。利用此模塊可以創建注塑填充過程的動畫,可以訪問通用塑料庫, 并從典型的注塑機參數中自動進行選擇確定最佳注射位置, 以減少周期時間并改進產品外觀確定潛在的模具填充問題, 比如注量不足、氣孔、熔接線等,改進設計質量, 并減少制造周期時間和模具返工率。圖12 分析界面在“Commonly Used Mate rials”選擇所用的塑料，由于其原料庫中沒有本設計所用的原料，所以我們選用通用PP作為注塑的原料，點擊“下一步”進入“Processing Conditions”對話框中，設定模具溫度為40℃、熔體溫度為240℃、最大注射壓力為180Mpa等工作參數之后點擊“完成”進行澆口的分析。黃燈顯示，表示塑料熔體很容易被填充，但是有些部分很難被填充。分析結果如圖18所示，紅色表示冷卻質量很低、黃色表示一般、綠色表示冷卻質量很好。28沈陽化工學院學士學位論文 第四章 總結四、總結 PRO/E軟件用于設計塑料產品結構有著諸多優點，方便實用，是塑料行業必不可少的先進軟件，通過此次對三通管件結構的設計，使我能夠熟練應用PRO/E軟件做出基本的結構設計。材料，2005（8）[3] 張曉陸,基于Pro/E 塑料制品的二維圖創建方法，江蘇春蘭機械制造有限公司[4] 徐小青，基于Pro/E和MoldFlow的顯示器外殼注射模具設計，塑料工業2005（12）[5] 張寶忠，UPVC三通管接頭注射模設計,模具制造,2002(12)[6] 石曉亮，UPVC管的特點及其在建筑給排水工程中的應用，工業安全與環保，2006（1）[7] 藍鳳祥，聚氯乙烯管材管件的發展趨勢，北京化工二廠研究所[8] 左大平，張益華，芮玉龍，基于Pro/E 的注塑模具計算機輔助設計，Die and Mould Technology 2005[9] 夏如艇,毛學東，塑料三通注射模設計，江西農業大學學報2004（10）[10] 趙健,王建軍，基于Pro/E外觀件精密注射模設計,塑料注射模技術[11] 錢應平, 劉小鵬，Pro/e軟件在注射模具設計與制造中的應用，湖北工學院學報，2004（6）[12] 程金霞，張 南，基于Pro/E斜三通管件注塑模設計，Die and Mould Technology 2007[13] 石家臣，劉保臣，PVCU斜三通接頭注射模設計，工程塑料應用，2007[14] 鐘佩思, 趙國強, 武迎迎，基于注射成型模擬技術的塑料件澆口位置優化設計，塑料工業，2006（7）[15] 朱光力，三通塑件注射模設計，模具工業2005（12）[16] C. K. Kwong* and G. F. Smith +，Advanced Manufacturing Technology，(1998)I4:23924630沈陽化工學院學士學位論文 附錄附錄英文文獻全文A Computational System for Process Design of Injection Moulding:Combining BlackboardBased Expert System and Coning ApaseBased Reasproach* and +*Department of Manufacturing Engineering,The Hong Polytechnic University,and +Advanced Technology Centre,University of Warwick,UKThe process design of injection moulding involves the selection of the injection moulding machine, mould design, production scheduling, cost estimation, and determination of injection moulding parameters. Expert system approaches have been attempted to derive the process solution for injection moulding in the past few years. However, this approach has been found to be incapable of determining the injection moulding parameters owing to the difficulty in setting the moulding parameters. In addition, the existing expert systems for process design lack the proper architecture for organising a heterogeneous knowledge source. In this paper, the bination of a blackboardbased expert system and casebased reasoning approach is introduced to make up the deficiencies of the existing expertsystem approach to the process design, from which a putational system for process design of injection moulding, named CSPD, was developed and described. CSPD first derives the process solution including the selection of injection moulding machine and mould base, tooling cost, and processing cost estimation, and production scheduling based on the blackboardbased expertsystem approach. It is then followed by the determination of the injection moulding parameters based on the casebased reasoning approach and the previously derived partial solution.Keywords: Blackboard architecture。 caterers, recipe makers, dispute mediation, criminal sentencing, process planning [18], are some systems that have been documented as design systems in the CBR literature [19]. A putational system for the process design for injection moulding, named CSPD, was developed based on the bination of the blackboardbased expert system and casebased reasoning approach. In Section 3, architecture of the CSPD is presented. This is followed by a description of its two major ponents: the blackboardbased expert system for process design (KPC)。 and a database. KPC is a plex expert system that involves multidisciplinary expert knowledge,which is used to generate a process solution including the selection of injection moulding machine, and mould base,tooling and processingcost estimation, and production is used to retrieve the previous cases and experience,and works out the setting of injection moulding parameters in a very short time. The database is used to store the information and data of the shopfloor injectionmoulding machines, standard mould bases, and mon thermoplastic materials. CSPD first derives the partial process solution based on a blackboardbased expertsystem approach. The partial solution together with the part information are then read by the CBRS for case retrieval and revision from which proper injectionmoulding parameters would be remended to the user, based on the casebased reasoning approach. Detailed descriptions of the KPC and CBRS will be provided in Sections 4 and 5, respectively. Expert System for Process Design, KPCAs mentioned in Section 2, blackboard architecture is adopted to develop the KPC in this research project, which mainly consists of three ponents: the blackboard, knowledge sources, and a control module. The architecture of the KPC is shown in Fig. 2. BlackboardThe blackboard is a global database which contains the data input to the problem, and intermediate and partial solutions of the problem and the process solution. The data and partial solutions are needed or are produced by the knowledge solution space is organised into an applicatondependent hierarchy. Information at each level in the hierarchy represents a partial solution. The domain knowledge is partitioned into independent knowledge sources that transform information on one level of the hierarchy into information on the same or other levels, using algorithmic procedures or heuristic choice of a knowledge source is based on the solution state posted on the blackboard and on the existence of knowledge sources capable of improving the current state of the solution. The blackboard is the only channel through which knowledge sources can interact with each other. In the KPC, the solution is organised in a frame hierarchy in the blackboard. Fig. 3 shows the structure of the blackboard and its corresponding solution part