Research On Modeling And Applied Of Diesel Ontology Model For Multidisciplinary Optimization Process

With the continuously improve performance requirements for diesel engine, the relateddisciplines in the design process is also increasing, such as strength, stability, vibration,manufacturing process and so on.So it is a collaborative task among the designers indifferent disciplines. By synthetically considering all disciplines’ performance requirementson diesle engine product as well as coordinating and solving the conflicts among thedisciplines, the development cycle and cost can be reduced; the quality and comprehensiveoperational performance will be improved. Besides, in order to help the designers to designproducts better, it is necessary to conversion, integration and merger knowledge that relatedin design process to creat new integrated knowledge. However, at present, knowledgerepresentation and management of diesel engine is mainly focus on geometric model,whichlack of further semantic information described in features, behavior, design process of dieselengine product, so it can not be good enough to meet the design information needs ofdifferent designer products at different levels. Considering the characteristics of ship diesleengine product design, this thesis studied the architecture and some key technologies ofmultidisciplinary optimization design (MDO) platform for semantic-driven ship diesleengine product based on. The main contents of the thesis are as follows:(1) There are several problems in traditional collaborative design process of shipproduct, for example semantic of information is too simple and cannot be integrated andshared. In this paper, building method of Diesel Ontology Model for MultidisciplinaryOptimization Process (DOMMOP) is studied, top-level structure model of diesel and MDOontology are given, semantic relationships of modeling objects are analyzed, andmultidisciplinary optimization of the key components of a certain type diesel engine isinstantiated.(2) At present, enterprise products information in the companies are usually stored inrelational database, which is not conducive to semantic exchange and integrationinformation among product information, so DOMMOP mapping technique based onsemantic alignment is proposed in this paper. Mapping rules and algorithms that extractedontology from relational database are studied, based on this, semantic alignment betweenenterprise products database and DOMMOP ontology is completed, intergration andsemantic operation of product database information based on ontology are achieved.(3) Focus on the semantic driven of existing MDO process reuse, by analyzing thesemantic of existing MDO process, taking the optimization meta-model as the smallestelement in the optimization process to describe the semantic information of MDO process, and finally realize the reuse of diesel product optimization process.(4) After analyzing the semantic intergration and workflow of diesel product MDO, thestructure and function of MDO design platform which based on Web is designed. The workflowing and methods to realize the key technologies of this platform are analyzed.Finally, the MDO platform for ship diesel engine product is developed anddemonstrated, which validated the technologies and methods put forward in this paper.