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Research On The Secondary Design And Influence Of Cutting 40CrMnMo Micro-groove Tool

Posted on:2020-08-05Degree:MasterType:Thesis
Country:ChinaCandidate:S L DuFull Text:PDF
GTID:2431330596473097Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
In metal cutting,the cutting process has the characteristics of high temperature and high heat,high stress strain and severe friction.The working environment of the cutting edge of the cutting edge of the tool is harsh in the near field,which is prone to wear,cracking and even chipping.It is important for tool durability.The influence,at the same time,the shape of the cutting edge of the cutting edge of the tool also directly affects the surface quality of the cutting workpiece.The oil pipe 40CrMnMo belongs to the difficult-to-machine material.In this paper,the micro-groove turning tool(referred to as“original micro-groove turning tool”)of the special hard-coated steel turning tool is taken as the research object,and the turning analysis of 40CrMnMo is carried out to reduce the cutting temperature and improve the cutting tool.For the purpose of life,the secondary design and related research of the micro-groove trough structure.Firstly,Two kinds of microgroove structures the MST-?and MCT-?are designed based on the original microgroove.The NX10.0 modeling platform was used to connect different rear and rake faces of different micro-grooves,and the change angle of the back-tilt angle of the micro-grooves.The solid modeling is carried out and imported into the Deform-3D cutting simulation platform for simulation analysis.The steady temperature field is obtained,and the temperature field data of the high temperature zone is extracted.Based on the temperature field distribution and data characteristics,the NURBS curve and surface are inversely modeled to extract the data.Analytical processing,study the influence of different structural parameters on the cutting temperature,preferably the MST-65 structure with excellent cooling effect;secondly,based on the MST-65 structure,the radius of the connecting arc of the cutting edge and the microgroove is preferred,and the arc is preferred.The MSTr-65 structure with a radius of 0.07mm further reduces the cutting temperature and the cooling rate can reach15.7%.Finally,the maximum equivalent stress is used as the evaluation index,and the thermal coupling analysis is performed by the finite element ANSYS Workbench to intensity the MSTr-65.The bearing calibration shows that the maximum equivalent stress is much lower than the compressive strength of the tool material and meets the design requirements.Using the method of comparison with the original turning tool,the orthogonal cutting experiment was designed to simulate the influence of process parameters on the cutting force,cutting temperature,wear amount and chip shape of MSTr-65 micro-groove turning tool.The research shows that MSTr-65 micro Compared with the original micro-groove turning tool,the groove turning tool _cF?F_f has a large decrease,F_p has a certain increase;the overall temperature of the front face of the MSTr-65 micro-groove turning tool is reduced,which is 15.23%lower than that of the original micro-groove turning tool;the new structure micro-groove The wear area is increased,and the hard wear area is extended backward from the edge of the tool tip.The main wear amount range is significantly smaller than that of the original micro-groove turning tool,and the maximum wear amount is smaller than that of the original micro-groove turning tool;the micro-groove structure changes the function of the cutter and the chip.New micro-groove cutters are more prone to greater resistance to create larger strains,resulting in easier chip breaking.According to the data of orthogonal simulation experiment,MATLAB and BP neural network weight bias mathematical model are applied to establish BP neural network through input layer(cutting speed,feed rate,back-feeding amount)and output layer(cutting temperature,cutting force).The model,iterative training,and the BP prediction model of cutting force and cutting temperature have good predictive reliability and can be used for the prediction of cutting force and cutting temperature.It also has practical guidance for the selection of cutting amount of MSTr-65 tool.
Keywords/Search Tags:Micro-groove turning tool, structural design, cutting force, cutting temperature, BP neural network
PDF Full Text Request
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