Research On Modeling And Implementation Of Knowledge Service For Cloud Manufacturing Process Of Complex Curved Surface

Complex curved surface is more and more widely used in energy, automobile, aerospace, shipbuilding, and other areas of the equipment manufacturing. The enterprises in these aeras are not only national strategic high-tech enterprise, but also typical resource-intensive enterprise of science and technology. In the process of products development, efficient allocation of manufacturing resources, sharing of research and development knowledge, enhancement of management and control ability, and the reduction of informatization cost, its put forward the urgent need to cloud manufacturing. Especially in the manufacturing process of complex curved surface parts, the ability of knowledge resources on demand allocation and accurate delivery become worse and worse. Therefore, on the one hand, aiming at the complex curved surface parts of CAPP, tool path calculation, process simulation, performance analysis, quality control and so on, there need knowledge resource to be pushed to users, and these knowledge resources were related to processing activities. On the other hand, aiming at a particular craft activities, there need the corresponding parameters, methods, models, tools to be encapsulated as a dynamic service to deliver to all manufacturing processes.The processing of complex curved surface parts is used as the research object, and the key technology of knowledge service modeling and realization for cloud manufacturing process was researched. Firstly, the knowledge service requirements and difficulties of cloud manufacturing process were analyzed. According to the characteristics of complex curved surface parts and the special craft, the corresponding knowledge service model was given. Aiming at the difficulties of complex curved surface machining technology and the characteristics of mutual coupling of knowledge service and process, the multi domain ontology model of knowledge service for complex curved surface was established. Representation and organization of knowledge was achieved and knowledge service modeling was realized in tow ways: statci and dynamic. Based on that, aiming at the characteristics of complex curved surface of variable curvature and large distortion, and the problems of quality control, the method of tool path calculation and the cloud model of roughness prediction was studied. The knowledge service components for tool path calculation and roughness prediction were constructed and encapsulated and Knowledge service method of tool path calculation and roughness prediction was put forward. Finally, blade was used as an example complex curved surface parts. Under cloud manufacturing, the knowledge service implementation framework of complex curved surface machining process was constructed through analyzing the knowledge service process of complex product. Then the knowledge service mode of complex curved surface parts for machining process was established and the knowledge service of tool path calculation and roughness prediction for the blade machining process was achieved. The blade tool path generation time was shortened and the blade machining efficiency and quality was improved.The research results of this paper not only can be provided as an implementation strategy for the knowledge pushing service of machining process, but also can be provided as an realization mechanism for the knowledge service framework of machining process. Complex curved surface manufcturing can be made to explore the ways and means by numerical control to intelligent mode upgrade. So it has theoretical significance and application value.