Research on calculation of grinding surface roughness

Van Nga Tran Thi,Khanh Nguyen Lam,Cuong Nguyen Van

doi:10.21303/2461-4262.2022.001832

Van Nga Tran Thi, Khanh Nguyen Lam + Show 1 more

Open Access

https://doi.org/10.21303/2461-4262.2022.001832

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Abstract

In machining processes, grinding is often chosen as the final machining method. Grinding is often chosen as the final machining method. This process has many advantages such as high precision and low surface roughness. It depends on many parameters including grinding parameters, dressing parameters and lubrication conditions. In grinding, the surface roughness of a workpiece has a significant influence on quality of the part. This paper presents a study of the grinding surface roughness predictions of workpieces. Based on the previous studies, the study built a relationship between the abrasive grain tip radius and the Standard marking systems of the grinding wheel for conventional and superabrasive grinding wheels (diamond and CBN abrasive). Based on this, the grinding surface roughness was predicted. The proposed model was verified by comparing the predicted and experimental results. Appling the research results, the surface roughness when grinding three types of steel D3, A295M and SAE 420 with Al2O3 and CBN grinding wheels were predicted. The predicted surface roughness values were close to the experimental values, the average deviation between predictive results and experimental results is 15.11 % for the use of Al2O3 grinding wheels and 24.29 % for the case of using CBN grinding wheels. The results of the comparison between the predicted model and the experiment show that the method of surface roughness presented in this study can be used to predict surface roughness in each specific case. The proposed model was verified by comparing the predicted and measured results of surface hardness. This model can be used to predict the surface hardness when surface grinding

Highlights

Surface quality when grinding is assessed through many parameters: hardness, surface layer residual stress, surface roughness
The study of modeling – simulating the grinding process to predict surface roughness will overcome the above limitations. The studies in this field have been carried out by many researchers, such as building models to predict surface roughness when grinding based on the analysis models of cutting thickness [2]; prediction the surface roughness when grinding with the assumption that the grits are uniformly distributed on the grinding wheel surface [3,4,5]; prediction the surface roughness when grinding through determining the average value of the depth of the cut into the machining surface of the abrasive grains [6]; applying probability theory when analyzing the cutting process of abrasive
Based on the inheritance and development of the published results of surface roughness modeling when grinding, this study presents a method to determine the abrasive grain tip radius based on the different Standard marking systems of the grinding wheel

Summary

Introduction

Surface quality when grinding is assessed through many parameters: hardness, surface layer residual stress, surface roughness. For studying grinding roughness surface, experimental methods are often used. The study of modeling – simulating the grinding process to predict surface roughness will overcome the above limitations. The studies in this field have been carried out by many researchers, such as building models to predict surface roughness when grinding based on the analysis models of cutting thickness [2]; prediction the surface roughness when grinding with the assumption that the grits are uniformly distributed on the grinding wheel surface [3,4,5]; prediction the surface roughness when grinding through determining the average value of the depth of the cut into the machining surface of the abrasive grains [6]; applying probability theory when analyzing the cutting process of abrasive (2022), «EUREKA: Physics and Engineering» Number 1 grains to predict surface roughness [7]; prediction surface roughness with the assumption that the grinding process is a mechanical – thermal equilibrium process [8]; build the relationship between surface roughness and unformed chip thickness when it was assumed that the cross section of each cut is made by an abrasive left on the surface of the workpiece with different geometric shapes (triangle, semicircular, curved, hyperbole) [1, 9,10,11]

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