面向多域復雜機電產(chǎn)品系統(tǒng)設計的功能表示與功能分解方法
發(fā)布時間:2018-05-02 06:31
本文選題:多域復雜機電產(chǎn)品 + 系統(tǒng)設計。 參考:《浙江大學》2012年碩士論文
【摘要】:多域復雜機電產(chǎn)品由機械、電子、控制等多個領域的眾多構(gòu)件通過能量、物質(zhì)、信息的交互而形成。隨著復雜性的不斷增加,如何實現(xiàn)多域復雜機電產(chǎn)品的自動設計是十分具有挑戰(zhàn)性。由于用戶給出的總是總體性的功能需求,因此,將粗粒度的產(chǎn)品總功能不斷分解成細粒度的子功能、直到子功能足夠小能夠直接由相應構(gòu)件實現(xiàn)、并由此得到產(chǎn)品的功能結(jié)構(gòu)模型的功能分解(Functional decomposition)過程,將是多域復雜機電產(chǎn)品系統(tǒng)設計過程中的第一步,十分關鍵。目前雖然已有一些這方面的研究,但是依然沒有有效、實用的支持系統(tǒng)設計的方法與工具,甚至對最基本的功能的理解和定義都仍有歧義。本文從功能知識的表示方法出發(fā),為產(chǎn)品系統(tǒng)設計的自動化功能分解提供了一套較完整的解決思路。 為了支持自動化的功能分解,首先需要功能知識的表示方法。功能知識的表示包括對功能的表示和對工作原理的表示。功能總體上被表示為輸入流和輸出流關系,其作用是對輸入流施加一些影響和效果,然后產(chǎn)生想要的輸出流,在這個過程中流的類型或者屬性產(chǎn)生改變,這些影響和效果被稱之為功能效應。工作原理包括物理效應和幾何材料特性,它表述了功能是按照什么原理進行工作的,其核心是物理效應。使用什么樣的工作原理很大程度上決定了功能的創(chuàng)新程度。 基于以上的功能知識表示,三種功能分解方法被提出,分別稱為效應分解、原理分解和反向搜索分解,分別適用于不同的功能分解情況。效應分解把擁有多個功能效應的功能分解成多個獨立的子功能;原理分解對于僅有一個功能效應的子功能,尋找能夠?qū)崿F(xiàn)其功能效應的工作原理,依照不同的工作原理進行分解;對于無法使用效應分解和原理分解的情況,使用反向搜索分解從功能知識庫中搜索滿足待分解功能的輸入流和輸出流關系的子功能序列。通過這樣的功能分解方式,大量的原理解會產(chǎn)生,設計人員可以從中找到具有創(chuàng)新原理的設計方案。 在上述工作的基礎上,本文基于SysML開發(fā)了功能建模和分解的工具,并以汽車發(fā)動機為例,展示了產(chǎn)品功能建模的過程。
[Abstract]:Multi-domain complex electromechanical products are formed by the interaction of energy, substance and information in many fields, such as machinery, electronics, control and so on. With the increasing complexity, how to realize the automatic design of multi-domain complex electromechanical products is very challenging. Since the user always gives the overall functional requirements, the coarse-grained total function of the product is continuously decomposed into fine-grained sub-functions until the sub-function is small enough to be directly implemented by the corresponding component. The functional decomposing process of the functional structure model of the product will be the first step in the design of the multi-domain complex electromechanical product system, which is very important. Although there has been some research on this aspect, there are still no effective and practical methods and tools to support the design of the system, and even the understanding and definition of the most basic functions are still ambiguous. Based on the representation of functional knowledge, this paper provides a complete solution for the automatic functional decomposition of product system design. In order to support automatic functional decomposition, it is necessary to express functional knowledge. The representation of functional knowledge includes the representation of function and the representation of working principle. The function is generally represented as the relationship between the input stream and the output stream, which exerts some influence and effect on the input stream, and then produces the desired output stream, during which the type or attribute of the stream changes. These effects and effects are called functional effects. The working principle includes the physical effect and the geometrical material characteristic, which describes the principle according to which the function works, the core of which is the physical effect. The degree of functional innovation is largely determined by how well you work. Based on the above functional knowledge representation, three functional decomposition methods are proposed, which are called effect decomposition, principle decomposition and reverse search decomposition, respectively, which are suitable for different functional decomposition cases. Effect decomposition decomposes a function with multiple functional effects into multiple independent sub-functions; principle decomposition for a sub-function with only one functional effect, looking for a working principle that can achieve its functional effect, Decomposing according to different working principles; for the cases where effect decomposition and principle decomposition can not be used, the reverse search decomposition is used to search the sub-function sequence satisfying the relationship between input stream and output stream from the functional knowledge base. Through such a functional decomposition, a large number of original understanding will be generated, designers can find innovative design principles. Based on the above work, a function modeling and decomposing tool based on SysML is developed in this paper. Taking the automobile engine as an example, the process of product function modeling is demonstrated.
【學位授予單位】:浙江大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:TH122
【參考文獻】
相關期刊論文 前1條
1 單鴻波;;現(xiàn)代產(chǎn)品設計理論的相關研究現(xiàn)狀綜述[J];東華大學學報(自然科學版);2006年05期
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