Research On Dynamic Service Composition Technology Of 3D Printing Resources In Cloud Manufacturing Environment

With the continuous development of manufacturing,3D printing technology has obtained increasing attention,especially in innovative creative fields.As a new manufacturing technology,the emergence of 3D printing brings technological innovation for the development of China's manufacturing industry,playing a positive role in promoting the product innovation of the enterprise and shortening the new product development cycle and improving product competitiveness.With the in-depth integration and applications of big data,cloud manufacturing,Internet of Things and other information technology and advanced manufacturing technology,the intelligence,collaboration,customization,servitization and platformization have become the important development trends of 3D printing manufacturing.Cloud Manufacturing is a new model of service-oriented networked manufacturing.The idea of “manufacturing as a service” provides a new idea for the integration of 3D printing manufacturing and the Internet.However,with the development of 3D printing technology,the numbers and types of 3D printing manufacturing resources grow rapidly and the user demand and complexity are also increasing gradually.Under the circumstances,the traditional single 3D print service is pretty hard to meet market demand,which leads to the urgent need for the research and development of the dynamic service portfolio technology of the 3D print manufacturing resources in the cloud manufacturing environment.This paper studies the above problems in innovative creative fields from the following three aspects: service processing of 3D manufacturing resources,supply and demand matching and dynamic service composition.First of all,in view of the low degree of standardization of 3D printing manufacturing resources in innovative creative fields,the 3D printing manufacturing resources are classified on the basis of analyzing the characteristics of 3D printing manufacturing resources.In addition,the 3D printing cloud resources are modeled on the basis of the ontology theory.Beside,the 3D printing resources are transformed into 3D print manufacturing service which can be found by matching and assembling through the cloud platform so as to provide support for the matching and combination of the 3D printing service.Secondly,aiming at the problem that the users can not search the available service quickly and accurately due to the diversity of 3D printing resources and the similarity of their functions in the cloud manufacturing environment,a matching method based on semantic 3D printing service is studied.A multi-layer filtering algorithm including basic information matching,function information matching and quality information matching is proposed.The service candidate set which is composed of the available services to meet the needs of users is provided,which provides feasible solution for the dynamic combination of the next 3D printing service,and its feasibility and validity are verified by an example.Then,in view of the problem that a single service can not meet the complex demands of users,the dynamic combination algorithm model of 3D printing service is established by the graph search algorithm.Moreover,the service composition process is decomposed into the breadth search and the deep search process.Furthermore,a QoS optimal 3D printing combination service is combined from the candidate service set and the feasibility of the algorithm is verified by an example.At last,based on the 3D printing intelligence cloud service platform(DD printing network),this paper designs the functional modules,including supply and demand matching module and service composition module,which provides practical support.