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

Nguyen Van Thien,Le Hoang Anh,Le Hong Ky,Do Duc Trung

doi:10.13189/ujme.2020.080203

Nguyen Van Thien, Le Hoang Anh + Show 2 more

Open Access

https://doi.org/10.13189/ujme.2020.080203

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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.

Highlights

The roughness of the workpiece surface is a parameter that greatly affects the workability and durability of machine workpieces
When finishing the process of the mechanical products, such as process by grinding, surface roughness is always one of the top criteria to evaluate the efficiency of the machining process
Some predictions of the surface roughness models are models built to show the relationship between surface roughness with machining parameters, technological system parameters and other parameters, based on the theoretical analysis of the cutting process

Summary

Introduction

The roughness of the workpiece surface is a parameter that greatly affects the workability and durability of machine workpieces. When finishing the process of the mechanical products, such as process by grinding, surface roughness is always one of the top criteria to evaluate the efficiency of the machining process. For this reason, a great deal of researches have been done to find solutions for machining a small rough surface. According to studies [1, 2, 3] the cost of experimental research is often expensive, greatly affecting the efficiency of the grinding process. There have been several model building studies to predict the surface roughness of workpiece when grinding

Some Models Predict the surface Roughness of Workpiece When Grinding

C Si Mn Cr Ni Mo V T i modulus of P oissons Shear Densit y

Findings

Conclusions