Key Technologies Of Computer Aided Innovation Design Based On Knowledge In MFBS Frame

In the21st century, the economic development shows information and knowledgement characteristic. The knowledge increment in product design process has become a decisive factor to affect the competitiveness of new product. Knowledge-based design method has become an important high technology to realize design and manufacture automation, enhance the enterprises competitiveness. Innovation is the essence and soul of product design. At the product design stage, the product function solving process is the most innovative. At present, more and more knowledge are needed in the development and design of new products, which involves constantly changing knowledge resources in different areas. Design knowledge acquisition, representation and application are key technologies in computer aided innovation design. It is an important way to improve the innovation capability and core competitiveness of China’s manufacturing enterprises. And it is also accord with the priority theme of "methods and techniques of intelligent innovation design" in "digital and intelligent design and manufacturing" of "Outline of the National Program for Long and Medium Term Scientific and Technological Development (2006～2020)".Research status of theory, methods and key technologies of computer-aided innovation design are systematically reviewed. Research on key technologies of computer aided innovation design based on knowledge in Modular-Function-Behavior-Structure (MFBS) frame is proposed, including knowledge modeling, design knowledge updating, product innovation design based on ontology matching, design scheme generating. Examples are given to verify the correctness of key technologies of computer aided innovation design in MFBS frame. The main contents are as follows:(1) The product structure tends to be complicate and the product function tends to be integrated and composite. Based on function-behavior-structural design process model, it is easy to generate large number of redundant design schemes and prone to raise the "combinatorial explosion" problem. Using advantages of modular design in reducing product design solution space for reference, the MFBS product design process model is proposed. Through comprehensively considering the correlation between customer needs and product function elements, flow correlation between product function elements and the technical correlation between product function elements with technological evolution, function correlation matrix is established. The dynamic module partition based on fuzzy dynamic clustering is researched. The knowledge expression of MFBS design process is studied. The MFBS ontology expression model of product design knowledge and product design knowledge system is established.(2) The part of ontology concept semantics is considered by ontology matching based on ontology element, ontology matching based on concept hierarchy structure. The concept semantics and concept hierarchy structure are simply weighted combined in multi strategy based ontology matching. The ontology matching method is studied by synthetically considering the concept semantics and concept hierarchy structure. The design knowledge updating method is proposed based on similarity matching of ontology semantic block. The ontology elements are extracted by Jena element extraction methods from OWL files. Matching concept pairs and to be matched concept pairs are acquired by ontology matching based on ontology element, ontology matching based on concept hierarchy structure. The concept semantic block is established by using semantic information and structure information of the ontology. Similarity of concept semantic block is calculated to determine matching relationships and update the design knowledge.(3) The existing knowledge retrieval and inference methods have disadvantages in product innovation design based on semantic relationships between knowledge. Based on layer progressive ontology matching strategy, MFBS design process model, the MFBS ontology knowledge retrieval and matching reasoning algorithms are systematically studied with Jena programming for product design. Variant space theory is introduced to ontology concept. Variant space ontology matching based product innovation design is put forward to improve innovation design ability on broad semantic relationships between product design knowledge.(4) The full life cycle assessment properties of structure are considered at design scheme generation stage. The gene model of full life cycle assessment properties of structure is established. The fitness function is constructed for life cycle assessment of structure. The genetic operators are used, such as select, across and mutate. Genetic operation algorithms are designed to automatically generate product function module design schemes, realizing life cycle assessment properties of design schemes, improving the efficiency of product design generation. According to the function structure diagram, functional modules are combined to form the overall product design.Finally, based on researches of key technologies, the computer aided product innovation design system (CAPID) based on knowledge in MFBS frame is developed, including design of system framework, detailed flowchart of each module. And the system is applied to the multi-rope diamond wire saw.In summary, key technologies of computer-aided innovation design based on knowledge in MFBS frame are studied. Using advantages of modular design in reducing product design solution space for reference, key technologies are studied, including design knowledge model, design knowledge representation and updating mechanism, and design knowledge retrieval and inference. The product life cycle assessment properties are considered at design scheme generation stage. Design schemes are generated by genetic evolution in order to achieve the sustainable computer aided intelligent innovation design system based on knowledge. makes The knowledge system is open by design knowledge updating based on similarity matching of ontology semantic block. Design scheme generation with evolutionary technology makes innovation design process open. It is not only based on the actual demands of sustainable application, computer aided innovation design based on knowledge in MFBS frame, but also offer ways to realize product open innovation design. So, it has important theoretical significance and practical application value.