Surfaces Roughness Based Optimization Of Both Polishing Parameters And Cutting Parameters Of Chemical-Mechanical Polished Carbide Inserts

In metal cutting process,the surface roughness of the workpiece is one of key indexes to assess the surface quality of the workpiece.The surface roughness of the tool(insert)directly affects the plastic deformation of the surface metal during the separation of the cutting surface from the cutting surface of the cutting tool and the chip,and ultimately affects the surface roughness of the machining.Therefore,how to select the polishing parameters for the CMP cemented carbide insert to obtain the appropriate surface roughness of the blade,and how can the CMP cemented carbide insert with appropriate surface roughness match with the cutting parameters reasonably in order to meet the requirements of machined surface roughness and achieve high efficiency machining,which has become a hot bottleneck problem to be solved urgently.The main research work is as follows:(1)Preparation of CMP cemented carbide inserts.Design multi process CMP machining process of carbide inserts' rake face.Using multiple-operation CMP processes carbide inserts's rake face,which provides the carbide cemented inserts with different insert's surface roughness for the subsequent turning experiment.(2)Experimental research on turning surface roughness of difficult to machine materials.The turning experiment was carried out based on the carbide insert with different surface roughness after the multi-operation CMP processing,which used the titanium alloy and nickel base superalloy material as the turning object and investigated the influence of four parameters of insert's surface roughness,cutting speed,cutting depth and feed rate on the machined surface roughness.At the same time,the influence of surface roughness and cutting parameters on workpiece surface roughness is revealed.With multiple linear regression analysis,the mathematical models of workpiece surface roughness of two materials were established.(3)Process parameters optimization of turning titanium alloy and nickel base superalloy based on machined surface roughness.Adaptive mutation optimization particle swarm optimization is used to improve its optimization ability,with the goal of turning machining efficiency,and based on the surface roughness requirements of workpieces as constraint condition,which is used to select the best combination of process variables.(4)Optimization of polishing parameters for CMP carbide insert based on insert's surface roughness.Combined with the multi-operation insert CMP processing test data collected in(1)and the research group,based on which,establishing CMP process parameters and inserts' surface roughness prediction model based on GA-BP Neural Network Algorithm.Comprehensive use of hybrid reasoning mechanisms to develop a CMP process database decision program;the CMP process route and its CMP process parameters are obtained from the CMP process database decision program according to(3)the optimal insert' surface roughness.The optimization combination of CMP carbide blade polishing parameters and cutting parameters based on the surface roughness of the workpiece was synthesized(3).Finally,the optimized combination model was verified by the CMP polishing experiment and the turning experiment.In summary,this study lays a theoretical basis for the polishing parameter decision of CMP carbide blade and the optimization of technological parameters of turning titanium alloy and nickel base superalloy,and provides an effective process for hard alloy blade to achieve high efficiency processing of hard working materials.