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In electrical discharge machining (EDM), the productivity and machined surface quality is directly influenced by the properties of the electrode surface material layer used. In the present study, a research attempt was made to find the optimal technological parameters in EDM process with AlCrNi coated electrode using Taguchi-Data Envelopment Analysis based Ranking (DEAR) based multi-response optimization approach. From the experimental investigation, the optimal technological parameter combination in EDM using AlCrNi coated electrode was found as peak current (40 A), voltage (55 V), and pulse-on-time (1000 μs) on machining Ti-6Al-4V titanium alloy. The current was found as more principal factor in EDM process with coated tool due to the electrical conductance of the tool coating. The better surface topography with lower surface roughness and micro cracks can be obtained on the machined specimens with proposed parameter combination.

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.

This paper presents a study on the prediction of surface roughness in surface grinding. Based on the results of several previous studies, the relation between the abrasive grain tip radius and the standard systems of grinding wheels and the surface roughness were predicted. Also, the surface roughness when surface grinding SKD11, SUJ2, and 3X13 steel by Al2O3 and CBN grinding wheels was anticipated. The predicted surface roughness values were found to be close to the experimental values. In addition, the average deviation between the predictive results and the experimental results was 15.11% for the use of Al2O3 grinding wheels and 24.29% for the case of using CBN grinding wheels.

In grinding, the surface roughness of a workpiece has a significant influence on quality of the part. Surface roughness is heavily dependent upon. This article presents empirical research for determining influence of lubrication parameters on surface roughnes. The experiment is carried out with 36A60LV grinding wheel, Tectyl cool 290MC and Emulsion lubricant. Minitab 16 software is used to analyze test results to gauge the influence of lubrication parameters on surface roughnes. The regression equation that presents the relationship function of surface roughness is solved to determine the optimal value of lubrication parameters for each type of lubricant, and the values of surface roughness in two lubricant types are compared. The influence of flow and concentration of lubricant on surface roughness is quite complicated. When the flow of the solution and the solution concentration is increased, the surface roughness tends to decrease. However, if the values of these two parameters further increase, the surface roughness tends to increase. When the lubricant Tectyl cool 290MC is used, the value of surface roughness is smaller than it is when Emulsion is used. In fine grinding conditions, with Tectyl cool 290MC lubricant, if the values of the flow and concentration of lubricant are 2.62 (L/min) and 4.2 (%) respectively the surface roughness will reach the smallest value at 0.41 (μm). For Emulsion lubricant, if the values of the flow and concentration of lubricant are 2.63 (L/min) and 4.32 (%) respectively, the surface roughness will reach the smallest value at 0.49 (μm).

This paper presents a study on surface roughness of workpiece when grinding SKD11, SUJ2 steels using Al2O3 and CBN grinding wheels. The method on modeling and predicting of surface roughness of workpiece in the grinding theoretical research was applied. However, when applying this method, it is necessary to identify the value of the roughness adjust factor in practical case. In this paper, this factor was found by experimental process when surface grinding SKD11 and SUJ2 steels by Al2O3 and CBN wheels. It helps values of calculating surface roughness to be similar to experimental datas.