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Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations

机译:使用运动学模拟研究不同的晶粒形状和修整以预测磨削中的表面粗糙度

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This paper presents a comprehensive study of a computationally efficient kinematic simulation to predict workpiece surface roughness in grinding using three different abrasive grain shapes (sphere, truncated cone, and cone) and a single-point diamond dressing model having both a ductile cutting and brittle fracture component. The resulting predicted workpiece surface roughness was experimentally validated for three different workpiece speeds, three different dressing depths of cut and three different dressing overlap ratios. For the surface grinding and single-point dressing conditions used in this research, the results showed that the dressing parameters used in the simulations supersede the assumed abrasive grain shape in their ability to influence the predicted workpiece surface finish. Furthermore, the corresponding average measured and predicted workpiece surface roughness agreed within approximately 7-11%.
机译:本文对使用三种不同磨料形状(球形,截头圆锥形和圆锥形)和具有韧性切削和脆性断裂的单点金刚石修整模型预测磨削中工件表面粗糙度的有效计算运动学模拟进行了全面研究。零件。对于三种不同的工件速度,三种不同的修整深度和三种不同的修整重叠率,通过实验验证了所得的预测工件表面粗糙度。对于本研究中使用的表面磨削和单点修整条件,结果表明,模拟中使用的修整参数会取代假定的磨粒形状,从而影响预测的工件表面光洁度。此外,相应的平均测量和预测工件表面粗糙度在约7-11%的范围内。

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