Method for predicating surface roughness of titanium alloy material based on milling
A surface roughness and milling technology, applied in metal processing, metal processing equipment, metal processing mechanical parts, etc., can solve the problems of low accuracy and low generality of prediction models, and achieve the effect of improving prediction accuracy and versatility
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[0015] Please refer to figure 1 Shown, the present invention is based on the titanium alloy material surface roughness prediction method of milling processing, comprises the steps:
[0016] Step 1: Determine whether the material is a titanium alloy material. If it is a titanium alloy material, proceed to Step 2. If it is not a titanium alloy material, this prediction method is not applicable;
[0017] Step 2: Perform milling on several workpieces of the same material under different tool types and milling parameters, and then measure the surface roughness value Ra of each workpiece and the average flank wear VB of each tool;
[0018] Step 3: Perform multiple linear regression analysis on the measurement results of workpieces milled with the same type of tool to determine the surface roughness prediction model: R a = C · v k 1 · f...
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