R&D Of Automatic Grinding And Cutting Equipment For Alumina Ceramic Flan Based On Axiomatic Design

Grinding and cutting of alumina ceramic flan are key steps in the preparation of transparent ceramic tube.Its processing quality directly affects the quality of alumina ceramic tube.At present,the domestic ceramic flan processing enterprises are generally poorly equipped,relying heavily on manual operation,low production efficiency,high cost and unstable quality.In addition,during the processing,the workpiece is adhered by a large number of dust,which is extremely detrimental to the health of workers.In view of the above problems,this paper presents the R&D of automatic grinding and cutting equipment for alumina ceramic flan based on axiomatic design.The main contents are as follows:(1)The research background and development significance of this equipment,the development of grinding and cutting technology for brittle material and the main contents of axiomatic design and its research status are expounded.In view of the actual demand,axiomatic design theory and design steps of the design methodological are combined.The R&D flow of automatic grinding and cutting equipment of alumina ceramic flan based on axiomatic design is also studied.(2)Using the quality house of the Quality Function Deployment,the axiomatic design theory deficiency of unknown primary and secondary and the lack of clear relationship among the domain elements are offset.On this basis of building a simplified quality house model,customer needs analysis is carried out and the mapping from customer domain to function domain is completed.The user requirement weight is configured by using the AHP method.The weight of the function characteristics is determined according to the correlation matrix of user requirements and function characteristics.At the same time,the functional timing relationship of each function is analyzed,the correlation between functional characteristics is established.Finally a demand-quality housing is built.(3)The project designs of the heavy weight function:transmission,cutting,grinding are carried out.Regarding the correlation of the demand quality house as a constraint,following the principle of independent axioms,the function decomposition and structure mapping of transfer,cutting,grinding functions is launched.However,the structure schemes obtained by the method are simple,and the schemes are not optimal.To solve this problem,the solutions of the functional elements after decomposition are expressed in the form of morphological matrix.And then,the structural schemes of the important sub-functions of transmission,grinding and cutting:support function,radial space function and grinding axial feed function are optimized based information axioms.(4)The key components are parameterized:double power transmission roller is selected from the key components configuration matrix as the object of the parameter design.The correlation between the quality house which is from the improved configuration matrix and the laws of natural science are combined as the constraint,so the parameters are determined,such as driving roller diameter 12 mm,coating layer thickness 4 mm,center distance 23 mm and the parallelism error 0.15 mm.In addition,the parameter design of the key components that affect system reliability and stability is carried out.And the equipment control system process is analyzed,then a suitable controller is selected.(5)On the basis of the above research,this paper introduced the prototype.To realize the purpose of experimental demonstration and process parameters optimization,the orthogonal design method is used.The effcets of the belt speed,workpiece speed,belt size at different levels of combination on the workpiece surface roughness are studied.As well as the effects of the blade speed,workpiece speed,workpiece feed speed at different levels combination on the cutting length and the cut quality are tested.Then the test results are analyzed to determine the optimal combination of process parameters by using visual analysis and variance analysis,and further improvements for the lack of prototype are proposed.