Research On Knowledge Based Engineering Methodology Of Automobile Die Design In The Cloud Design Model

With the fast development of China's automobile industry and the intensification of market competition in recent years,the replacement cycle of automobile products is shortened drastically.For the new automobile models,die design and manufacture process is the key step of R&D and listing.The traditional closed-end design resources organizational mode has the serious contradiction between capacity shortage and knowledge redundancy.In order to solve the typical problem of lacking of capacity resources and knowledge resources,the cloud design pattern was proposed which focused on the design methodology for complex product design in the internet environment.It is thus necessary to research on the key scientific theories and methods for achieving the complex products design under the internet environment.Considering the knowledge intensive characteristics of complex products,this paper explores the demand model construction methodology of the knowledge resources which are characterized by multi-source,heterogeneous and dynamic.Also,the critical basic issues including knowledge acquisition,knowledge representation and logic reasoning been studied under the cloud design environment.Meanwhile,the methods for design ability identification and design resource allocation optimization are also researched.The knowledge-based engineering is used to construct the knowledge environment supporting cloud design pattern in order to strengthen the advantages of distributed intellectual resources.The cloud design platform was developed for enterprise practice application on the basis of theoretical approach research.The thesis has important theoretical and practical value.Aiming at the distributed knowledge resource aggregation problem in the cloud design process of complex product,the organization and reuse method of multi-source,heterogeneous and dynamic information were researched.According to the multi class data information involved in the automobile die design process,the demand models of knowledge were created for each design period.Then,the knowledge units were built dynamically in accordance with the design task type by the knowledge elements extracted from heterogeneous information sources based on knowledge element linking theory.Eventually,the knowledge resource organization method was formed for the cloud design environment.Aiming at the diverse knowledge requirements,the design knowledge was expressed by using knowledge based engineering theory.And,the Rough set theory was used as the knowledge discovery methodology to extract the design rules from the data flow in the cloud design environment.Thus,the hybrid design knowledge logic reasoning mechanism based on semantic distance and properties matching were created to improve the reuse efficiency of knowledge resources.For the capacity differences between designers,the multi-stage identification method of personnel design capability was proposed based on the Fuzzy-AHP method,and also the matching degree model between the designers and the tasks was created.Consequently,the stable matching between the tasks and intellectual resources can be achieved through strict priority arranged matrix based on Gale-shapley algorithm.Finally,the automobile die cloud design platform was built on the basis of theoretical research,which can realize the whole design process of the complex customized automobile panel mold.In this thesis,the organization morphology of cloud design is explored,focusing on the construction methods of knowledge resources for supporting cloud design.Meanwhile,the optimization method of the allocation of intellectual resources also has been researched.This thesis has a certain reference value for further research on cloud design pattern.