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Research About Cutting Titanium Alloy Tool Wear Mechanism Based On Multi-Scale

Posted on:2016-07-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y P JiangFull Text:PDF
GTID:2191330461488255Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Titanium alloy is widely used in aerospace, medical, chemically and other industries with its excellent heat resistance, corrosion resistance, and excellent mechanical properties, which has broad application prospects and research space. However, because of its poor thermal conductivity, high chemical activity and small elastic modulus, will appear high cutting temperature, serious tool wear phenomenon in the process of cutting, which is belong to difficult cutting materials. As a precious metal, excessive tool wear seriously hampered the improving of its cutting efficiency. Therefore, it is particularly important to improve the cutting efficiency of cutting titanium, reduce tool wear and lower costs. Currently, people study the tool wear of cutting titanium are mainly from a macro point of view, very few of them carry out research from micro perspective. This paper mainly from micro and macro perspectives, multi- scale analysis tool wear, construct tool flank wear model and study the experimental of cutting titanium, explore the tool flank wear mechanism. The main contents are as follows:Firstly, use TR200 handheld roughness instrument, measuring the flank face of carbide cutting tools, obtaining the assessment parameters of flank surface morphology; By using the Hertz contact model and the G-W model, construct tool flank face multi-scale contact model, characterize the tool flank surface morphology, and use mathematical software MATLAB to analyze and process the measurement data, obtain the variation rule of contact model, which provides the theoretical basis for the research of tool wear.Secondly, study the cutting force, cutting temperature, surface roughness in the process of carbide tools YG8 turning titanium, analyze the influence of cutting speed, feed rate, cutting depth to cutting force, cutting temperature, surface roughness; Carry out orthogonal experiment and regression analysis, build up the prediction model of cutting force, cutting temperature surface roughness, and carry out deviation analysis and significant test of the model.Finally, use scanning electron microscopy and energy spectrum to analyze tool flank face which has been turning by carbide tools, obtain the tool flank face wear mechanism. And use the multi-scale method of interaction probability density integral to carry on statistical analysis to the micro wear results, establish the tool flank wear model of multi-scale.
Keywords/Search Tags:Tool Wear, Multi-Scale Model, Orthogonal Experiment, Multiple Regression
PDF Full Text Request
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