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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Analytical modeling and experimental verification of surface roughness in the ultrasonic-assisted ball burnishing of shaft targets
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Analytical modeling and experimental verification of surface roughness in the ultrasonic-assisted ball burnishing of shaft targets

机译:超声波辅助球轧制轴靶轧制表面粗糙度的分析与实验验证

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摘要

Ultrasonic-assisted ball burnishing (UABB) is a promising surface strengthening technology for improving the properties of components. This method superimposes ultrasonic vibration to the traditional deep rolling; it can improve the surface roughness of a material, enhance its surface hardness, and introduce a high compressive residual stress, thereby improving the fatigue performance of components. A mathematical model should be established to predict and analyze the relationship between the experimental process parameters and results and to predict the effect of UABB on surface roughness. In the present work, a mathematical model of surface roughness after UABB was established on the basis of Hertz contact theory, comprehensively considering the process parameters, dynamic vibration forces, and elastic rebound of the targets. UABB experiments were carried out to verify the correctness of the mathematical model. Results showed that UABB can significantly reduce the surface roughness of the material, and the values calculated from the derived mathematical model showed good agreement with the experimental findings. The surface roughness decreased with the burnishing force (50-250 N) and amplitude (4-10 mu m) increased, whereas the feed rate decreased. The increases of radii of component and ball were detrimental to the improvement of the surface roughness. And elastic rebound was not conducive to roughness reduction and its influence was negligible. Finally, the derived surface roughness model can be used to predict the component values after UABB and understand the effects of machining parameters on the shaft targets during processing.
机译:超声波辅助球抛光(UABB)是一种有希望的表面强化技术,用于改善组分的性质。该方法将超声波振动叠加到传统的深轧机;它可以改善材料的表面粗糙度,增强其表面硬度,并引入高压缩残余应力,从而提高组分的疲劳性能。应建立数学模型来预测和分析实验过程参数和结果之间的关系,并预测UABB对表面粗糙度的影响。在目前的工作中,在赫兹接触理论的基础上建立了UABB后表面粗糙度的数学模型,全面考虑了目标参数,动态振动力和目标的弹性反弹。进行UABB实验以验证数学模型的正确性。结果表明,UABB可以显着降低材料的表面粗糙度,并且从衍生的数学模型计算的值与实验结果表现出良好的一致性。随着抛光力(50-250n)和振幅(4-10μm)增加而降低的表面粗糙度,而进料速率降低。组分和球的增加对表面粗糙度的改善有害。弹性反弹不利于减少粗糙度,其影响忽略不计。最后,衍生的表面粗糙度模型可用于预测UABB之后的分量值,并理解在处理过程中加工参数的加工参数的效果。

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