Study On Tool Wear And Surface Roughness Of Milling Titanium Alloy Based On Vision

Titanium alloy has high specific strength,high temperature resistance,corrosion resistance and other good properties.It has been widely used in the defense industry and civil aviation,especially in the application of aerospace engines.Meanwhile,the excellent characteristics of titanium alloy also make it become a kind of typical difficult to process materials.Tools will be worn seriously in the process of machining titanium alloy,which will influence the surface quality and processing efficiency,and even cause higher scrap rate.In order to improve the convenience of measuring tool wear and surface roughness in the process of machining titanium alloy blades,a portable visual measurement technology is proposed in this paper,which provides a convenient and feasible process monitoring method for processing titanium alloy blades.The main research contents and achievements are as follows:(1)A portable in-situ detection technology of tool wear is developed.In this paper,the advantages and disadvantages are analyzed and compared between current tool wear detection technologies,given the requirement of machining site,a tool wear detection method is proposed.This method can be used to capture the wear image of the tool by holding the micro-microscope on the camera of the mobile phone.Then the image is transferred to the computer,tool wear can be obtained by processing the image and analyzing data.The validity of the method is verified by error analysis.This method significantly reduces the time of tool wear detection time and eliminates the need for re-tooling compared to conventional off-line measurement methods,since the tool does not need to be removed during the measurement.(2)The influence of milling parameters on tool wear is studied based on vision detection.The influence of milling speed,feed per tooth and milling width on the durability of carbide cutting tools is studied systematically.The orthogonal test of titanium alloy TC4 is designed,considering the actual machining requirements of titanium alloy blades.It is found that the wear of the tool is relatively serious at the beginning and the end of use,while it is stable in the middle period.The influence of milling parameters on tool wear is obtained.Based on the experimental data,an empirical prediction model of tool durability is established.(3)Surface roughness of titanium alloy TC4 and its relationship with the characteristic of the surface image are studied.Firstly,the surface roughness of the machined surface was measured by stylus roughness meter.The influence of cooling conditions and milling parameters on surface roughness is obtained by single factor experiments.On this basis,the method of visual measurement proposed is used to study the surface image features of the processed parts,and the relationship between the standard deviation and the roughness of the histogram is analyzed.The results show that there is a good correlation between the two methods,and the proposed visual method can be used to monitor the surface roughness of work pieces during the actual machining.