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This paper presents an optimization of dressing conditions for SKD-11 steel grinding using HaiDuong grinding wheel made in Vietnam. Taguchi method was used to design experiment and calculate the optimized dressing conditions. Effects of the six input parameters including feed rate (S), depth of rough dressing cut (aedr), rough dressing times (nr), depth of finish dressing cut (aedf), finish dressing times (nf) and non-feeding dressing (nnon) with 4 levels on the machined surface roughness were investigated for optimization process. To find out the influence degree of each input parameter on output results, S/N ratio was analysized. Experimental results show that the average surface roughness after 3 times of the repeated experiments was 0.208 μm and deviation was 11.23% comparing with the predicted values.

This study is to determine effects of the dressing parameters to the flatness tolerance (Fl) when grinding SKD11 steel using HaiDuong grinding wheel and also propose the suitable dressing parameters to obtain the smallest flatness tolerance. In this paper, the effects of the six input parameters including feed rate (S), depth of rough dressing cut (ar), rough dressing times (nr), depth of finish dressing cut (af), finish dressing times (nf) and non-feeding dressing (nnon) to the flatness tolerance were investigated. To find out the influence of each input parameter on output results, the S/N ratio was analysized. Evaluated experimental results show that, the average flatness tolerance was 4.05μm and deviation of this value was 11.38% compared with the predicted value.

This paper aims to investigate the effect of process parameters on the surface roughness in suface grinding 90CrSi tool steel. In this paper, many process parameters including the coolant concentration, the coolant flow, the cross feed, the table speed and the depth of cut were taken into account. Based on conducting and analysing 25 experiments which were created by using full factorial design, the influence of the process parameters on the surface roughness was evaluated. Also, a predicted model to calculate the surface roughness was proposed.

This paper introduces a study on multi-criteria optimization of the dressing parameters in surface grinding for 90CrSi tool steel. The aim of the study is to minimize the surface roughness, the normal shear force and maximize the grinding wheel life by using Taguchi method and Grey Relational Analysis (GRA). This multi-objective optimization is obtained by optimizing four four-level and two two-level dressing parameters in sixteen experiments based on an orthogonal array L16(44×22). From the results of the study, the optimum dressing parameters were proposed. Also, to evaluate the optimum dressing model, an experiment was performed. The results of the comparison between the predicted model and the experiment show that the proposed model has been proven and it can be used for further applying of surface grinding.

This study aims to propose a method to calculate optimum exchanged grinding wheel diameter to minimize grinding cost in grinding surface process for stainless steel. The interactions of the grinding cost and optimum exchanged grinding wheel diameter have been analyzed and presented in mathematical formulae. To obtain the minimal grinding cost, the optimal exchanged grinding wheel diameter has been determined by investigating six two-level grinding process parameters including initial grinding wheel diameter, total dressing depth, radial grinding wheel wear per dress, wheel life, machine tool hour and grinding wheel cost. Based on 26 experiments conducted in computational program, the optimal exchanged grinding wheel diameter is presented as a function of these grinding parameters. This developed model has been verified and proven by experimental results. The proposed method of calculation of the optimum exchanged grinding wheel diameter can be applied in practice to reduce the grinding cost.

This paper introduces a study on optimum determination of exchanged grinding wheel diameter when external grinding of stainless steel. In this study, the influences of grinding process parameters including the initial grinding wheel diameter, the total dressing depth, the radial grinding wheel wear per dress and the wheel life on the exchanged grinding wheel diameter were investigated. Also, the effect of cost parameters including the grinding wheel cost and the machine tool hourly rate were investigated. To estimate the influence of these parameters on the optimum exchanged grinding wheel diameter, a simulation experiment was designed and it was performed by a computer program. Based on the results of the experiment, a formula for calculation of the optimum exchanged diameter was introduced

The objectives of this research are to determine the optimum values of grinding wheel parameters. An optimization problem with manufacturing time as the objective function was solved. The initial wheel diameter, the wheel life, the radial grinding wheel wear per dress and the total depth of dressing cut were considered as the input factors in the present study. Moreover, their effects on the optimum replaced wheel diameter were explored based on the implementation of a simulation experiment. The obtained results showed that the optimum replaced wheel diameter can be calculated by employing the proposed regression equation.

This paper introduces an optimization study on determination of optimum replaced grinding wheel diameter in internal grinding process. In this study, the minimum manufacturing time was chosen as the objective of optimization problem. Also, several grinding parameters containing the initial grinding wheel diameter, the radial grinding wheel wear per dress, the total depth of dressing cut and the wheel life were taken into the investigation. In addition, to evaluate the influences of these input factors on the optimum replaced wheel diameter, a simulation experiment was conducted. Lastly, a regression model was presented for determination of the optimum replaced wheel diameter.

This paper introduces an optimization study on the determination of the optimum replaced grinding wheel diameter for getting minimum manufacturing time in external grinding stainless steel. In the study, several input grinding parameters including the initial grinding wheel diameter, the total depth of dressing cut, the wheel life and the radial grinding wheel wear per dress. Also, to evaluate the effects of the input parameters on the optimum replaced wheel diameter, a simulation experiment was planned and conducted. Lastly, a regression model to calculate the optimum replaced wheel diameter was suggested.

Grinding cost is an essential factor in a grinding process. In external cylindrical grinding, there exist different input technology parameters which have significant influences on the grinding costs. This paper presents a study on optimization of exchanged grinding wheel diameter to minimize the grinding cost in the external grinding stainless steel. The work is concerned with the influences of seven input grinding process parameters including the initial grinding wheel diameter, the grinding wheel width, the wheel life, the radial grinding wheel wear per dress, the total depth of dressing cut, the machine tool hourly rate, and the grinding wheel cost on the optimum exchanged grinding wheel diameter in the external grinding process based on the optimization of grinding cost. In addition, the effect of the interactions between the input grinding parameters was also evaluated. Finally, the regression equation for computing the optimum exchanged grinding wheel diameter was introduced. The proposed model can be further applied effectively for the external grinding process.