Material removal depth model of titanium alloy ground by flap wheel
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摘要: 针对钛合金材料页轮磨抛表面去除量难控制的问题,从页轮磨抛的运动过程出发,结合Preston方程、Hertz接触理论及线接触变形等理论方法,建立页轮磨抛的材料去除深度模型。首先,分析磨削过程中页轮的运动和材料去除过程,并通过Preston方程简化磨抛过程,得到材料去除深度与页轮的线速度、接触压强、进给速度之间的关系;其次,通过Hertz接触理论及线接触变形得到接触压强和预压量的关系式,再将预压量代入接触压强,构建材料去除深度理论模型;最后,采用正交试验法和单因素试验法验证该理论模型的准确性,并通过极差分析法分析各参数对页轮磨抛去除深度的影响程度。结果表明:材料去除深度与预压量和页轮线速度成正比,与页轮进给速度成反比,且各参数对页轮磨抛去除深度的影响程度基本相当。模型预测的材料去除深度与试验结果的平均相对误差为6.25%,说明理论模型可准确预测磨削去除深度。Abstract: The surface removal of the titanium alloy was difficult to control when grinding with flap wheels. Therefore, a material removal depth model was established, by theoretical methods such as the Preston equation, Hertz contact theory, and line contact deformation, from the perspective of the moving process of flap wheel polishing. Firstly, by analyzing the movement of the flap wheel and the material removal process in the grinding process and simplifying the grinding process through the Preston equation, the relationship between the material removal depth and the linear velocity, the contact pressure, and the feed speed of the flap wheel was obtained. Secondly, the relationship between contact pressure and preload was obtained through Hertz contact theory and line contact deformation, and then the theoretical model of material removal depth was constructed by the preload substituted into the contact pressure. Finally, the orthogonal experiments and the single-factor experiments were used to verify the accuracy of the theoretical model. And the impact of various parameters on the flap wheel grinding and polishing removal depth was analyzed by range analysis. The results show that the material removal depth is directly proportional to the preload and the linear speed of the page wheel, inversely proportional to the feed speed of the page wheel, and the influence of various parameters on the grinding and polishing removal depth of the page wheel is basically the same. The average relative error between the material removal depth predicted by the theoretical model and the test results is 6.25%, which shows that the model can accurately predict the grinding removal depth.
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