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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

Inactive Publication Date: 2016-01-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for predicting the surface roughness of titanium alloy materials based on milling, which fully considers the impact of tool wear on the surface roughness of the machined surface, and solves the problem of low accuracy of the model for predicting the surface roughness of titanium alloy milling. not high problem

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  • Method for predicating surface roughness of titanium alloy material based on milling
  • Method for predicating surface roughness of titanium alloy material based on milling
  • Method for predicating surface roughness of titanium alloy material based on milling

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Embodiment Construction

[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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Abstract

The invention discloses a method for predicating surface roughness of a titanium alloy material based on milling. The method includes the following steps that whether a material is a titanium alloy material or not is judged, if the material is the titanium alloy material, the second step is conduced, and if the material is not the titanium alloy material, the predicating method is not applicable; a plurality of workpieces made of the same material are milled with different types of cutters and under different milling parameters, and afterwards the surface roughness value Ra of each workpiece and the average abrasion capacity VB of the rear cutter face of each cutter are measured; multiple linear regression analysis is conducted on measurement results of the workpieces milled through the same type of cutters, and undetermined coefficients C, k1, k2, k3, k4 and k5 in a surface roughness predicating model (please see the model in the specifications) are determined, wherein v is the milling speed, fz is the feed engagement, ap is the milling depth, ac is the milling width, VB is the average abrasion loss of the rear cutter faces of the cutters, and therefore surface roughness predicating models corresponding to different types of cutters can be obtained; and therefore the surface roughness for milling of the titanium alloy can be predicated.

Description

Technical field: [0001] The invention relates to machining technology, in particular to a method for predicting the surface roughness of titanium alloy materials based on milling. Background technique: [0002] Titanium alloy has the characteristics of high specific strength, good thermal stability and excellent corrosion resistance, so it is widely used in aviation, aerospace, biomedicine and other industrial fields. The application of titanium alloy on aircraft can achieve good weight reduction benefits, and can meet the design requirements of high maneuverability, high reliability and long life of military aircraft, so it has become the main material for manufacturing key structural parts of aircraft. However, titanium alloy has the characteristics of high activity, small thermal conductivity, and small elastic modulus under high temperature conditions, which makes its machinability poor, which is manifested in large cutting force, high cutting temperature, large tendency...

Claims

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Application Information

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IPC IPC(8): B23Q17/20
CPCB23Q17/20B23Q2717/006
Inventor 陈明和杜舜尧朱知寿王新南
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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