The introduction of ultrasonic vibration in the grinding process of γ-TiAl intermetallic compounds can significantly reduce its processing difficulty. It is of great significance to understand the grinding mechanism of γ-TiAl intermetallic compounds and improve the processing efficiency by studying the mechanism of ordinary grinding of abrasive grains. Based on this, this study proposes a grinding force prediction model based on single-grain ultrasonic assisted grinding (UAG) chip formation mechanism. First, the prediction model of grinding force is established based on the chip formation mechanism of abrasive sliding ordinary grinding and the theory of ultrasonic assisted machining, considering the plastic deformation and shear effect in the process of material processing. Second, the UAG experiment of γ-TiAl intermetallic compounds was carried out by using diamond grinding wheel, and the unknown coefficient in the model was determined. Finally, the predicted values and experimental values of grinding force under different parameters were compared to verify the rationality of the model. It was found that the maximum deviation between the predicted value of tangential force and the actual value is 23%, and the maximum deviation between the predicted value of normal force and the actual value is 21.7%. In addition, by changing the relevant parameters, the model can predict the grinding force of different metal materials under different processing parameters, which is helpful for optimizing the UAG parameters and improving the processing efficiency.

中文翻译：

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γ-TiAl金属间化合物超声辅助磨削磨削力模型及实验验证

在γ-TiAl金属间化合物的磨削过程中引入超声波振动可以显着降低其加工难度。研究磨粒普通磨削机理对于了解γ-TiAl金属间化合物的磨削机理、提高加工效率具有重要意义。基于此，本研究提出了一种基于单晶粒超声辅助磨削（UAG）切屑形成机制的磨削力预测模型。首先，基于磨料滑动普通磨削的切屑形成机理和超声辅助加工理论，考虑材料加工过程中的塑性变形和剪切效应，建立磨削力预测模型。其次，利用金刚石砂轮进行了γ-TiAl金属间化合物的UAG实验，确定了模型中的未知系数。最后，将不同参数下磨削力的预测值与实验值进行比较，验证模型的合理性。结果发现，切向力的预测值与实际值的最大偏差为23%，法向力的预测值与实际值的最大偏差为21.7%。此外，通过改变相关参数，模型可以预测不同金属材料在不同加工参数下的磨削力，有助于优化UAG参数，提高加工效率。