Research On Knowledge Pushing For NC Milling Of Complex Curved Surface In Cloud Mode

With the rapid development of economic and high technology,complex curved surface product is widely used in mould,automobile,aerospace,shipbuilding and other equipment manufacturing fields.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.The NC milling process for complex curved surface parts involves multidisciplinary knowledge such as technics,material,structure,computer graphics,quality management and so on.Therefore,on the one hand,in the cloud manufacturing mode,aiming at the surface characteristics of part and the processing requirements,the NC milling of complex curved surface needs to query the knowledge of technics,material,model,planning algorithm and so on.On the other hand,aiming at the process of NC milling,the knowledge should be pushed to user in the form of dynamic service by encapsulating the corresponding parameters,methods,models and tools,so as to achieve the effective utilization and efficient allocation of knowledge resources in the process of NC milling.In this paper,the process of the NC milling for complex curved surface part was taken as the research object.The knowledge service scheduling,matching and pushing model,algorithm and the key implementation techniques for NC milling of complex curved surface part were studied in cloud manufacturing.Firstly,on the basis of analyzing the technical difficulties and the coupling processing between computing process and knowledge resources of NC milling,the multi domain ontology for NC milling of complex surface part was constructed.Meanwhile,according to thecharacteristics of the complex surface part and the special processing technology,the static and dynamic knowledge service patterns to realize the knowledge pushing of the NC milling were given respectively.And the knowledge service components of NC milling were packaged to realize the representation and organization of knowledge.Then,aiming at the static and dynamic characteristic of the pushing process for NC milling in cloud manufacturing,the matching methods of knowledge service for NC milling based on description logic and feature were presented in this paper.On this basis,two kinds of methods about knowledge resource pushing based on user demand and business process were emphatically studied.Thirdly,according to the real-time dynamics and the randomness of execution time of knowledge pushing task in cloud mode,a heuristic task scheduling framework of knowledge pushing was built;the corresponding mathematical model of scheduling optimization was established and a multi-community bidirectional drive collaborative search algorithm was proposed to solve the problem.Finally,taking the blade parts in complex surface as an example,the solution scheme and the implementation framework of the knowledge service pushing of NC milling are given in this paper.The research results of this paper not only can be provided as an implementation strategy for the knowledge pushing service for NC milling of complex surface,but also can strengthen the flow and sharing ability of knowledge resources in the process of NC milling for complex surface,which can provide the knowledge service support for the development of complex surface products.To maximize the requirement of knowledge resource acquisition,efficiently configure and actively push in the processing of complex surface parts,the research results have an important theoretical significance and the value of production and application for improving the development efficiently of the complex surface products.