Prediction of Surface Roughness When Surface Grinding C45 Steel Using CBN Grinding Wheel

N. Thien, D. Trung, L. Ky, Le Hoang Anh
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引用次数: 1

Abstract

This paper presents a study of the roughness prediction of the workpiece when using CBN (Cubic Boron Nitride) grinding wheel to process C45 steel on a surface grinder. On the basis of inheriting the previously published studies on modeling surface roughness of workpiece when grinding, this study was conducted to develop one of these models and build a new model of surface roughness that consider many factors affecting surface roughness. Cutting parameters, parameters of grinding wheel, characteristics of materials, characteristics of contact of grinding wheel with workpiece have been included in the roughness model of the surface roughness of workpiece. This new surface roughness model was used to predict surface roughness of workpiece when grinding C45 steel with CBN grinding wheel. The results showed that the surface roughness value when predicting was very suitable for the experiment and the average deviation between the predicted results and the experimental results was only about 9.84%. The surface roughness model proposed in this study also confirms that the roughness can be predicted more accurately than the previous surface roughness models. And then, the development direction for further research is also mentioned in this paper.
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CBN砂轮磨削C45钢表面粗糙度的预测
对CBN(立方氮化硼)砂轮在平面磨床上加工C45钢时工件粗糙度的预测进行了研究。本研究在继承前人磨削过程中工件表面粗糙度建模研究成果的基础上,建立了其中一种模型,并建立了考虑多种影响表面粗糙度因素的新表面粗糙度模型。工件表面粗糙度模型中包含了切削参数、砂轮参数、材料特性、砂轮与工件接触特性。利用该模型对CBN砂轮磨削C45钢时的工件表面粗糙度进行了预测。结果表明,预测时的表面粗糙度值与实验结果非常吻合,预测结果与实验结果的平均偏差仅为9.84%左右。本研究提出的表面粗糙度模型也证实了与以往的表面粗糙度模型相比,可以更准确地预测表面粗糙度。最后,提出了进一步研究的发展方向。
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