Advances in Engineering Research and Application, 2019
In this paper, a study on calculating optimum gear ratios of mechanical driven systems using a ch... more In this paper, a study on calculating optimum gear ratios of mechanical driven systems using a chain drive and a two-step helical gearbox with the first step double gear sets is introduced. To determine the optimum ratios, an optimization problem was conducted with the selection of system cross section area as the objective function. Also, several input parameters consisting of the total system ratio, the wheel face width coefficients of the both helical gear sets, the allowable contact stress and the output torque were investigated. Furthermore, a simulation experiment was run to study the impacts of these parameters on the optimum ratios. The results show that the optimum ratios can be obtained with high accuracy by using recommended models.
This paper presents an optimization of dressing conditions for SKD-11 steel grinding using HaiDuo... more 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 paper introduces a study on the calculation of optimum gear ratios of a three stage bevel he... more This paper introduces a study on the calculation of optimum gear ratios of a three stage bevel helical gearbox. In this study, to find the optimum gear ratios, an optimization problem was performed. In the optimization problem, the gearbox length was chosen as the objective function. In addition, the effects of input parameters including the total gearbox ratio, the face width coefficients of the bevel and the helical gear sets, the allowable contact stress and the output torque were investigated. To evaluate the influence of these factors on the optimum gear ratios, a simulation experiment was designed and conducted by a computer program. Based on the results of the study, the influences of the input parameters on the optimum gear ratios were evaluated and models for calculation of the optimum gear ratios were found.
The objectives of this research are to determine the optimum values of grinding wheel parameters.... more 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.
Advances in Engineering Research and Application, 2019
This paper presents a study on the determination of the optimum gear ratios of a two-stage worm g... more This paper presents a study on the determination of the optimum gear ratios of a two-stage worm gearbox. To find the optimum gear ratios, an optimization problem was performed. Also, the reasonable gearbox structure was chosen as the objective function of the optimization problem. In addition, the effects of the input factors including the total gearbox ratio, the electric motor speed, and the output torque were investigated. Besides, a simulation experiment was designed and performed by computer programs to evaluate the influences of these input factors on the optimum gear ratios. Moreover, some models to calculate the optimum gear ratios of a two-stage worm gearbox were suggested. As these equations are explicit, the determination of the optimum gear ratios is accurate and uncomplicated.
Advances in Engineering Research and Application, 2019
The paper presents a study on determining optimum gear ratios of mechanical driven systems using ... more The paper presents a study on determining optimum gear ratios of mechanical driven systems using a two-stage helical gearbox with second stage double gear sets and a chain drive. In the study, an optimization problem with the objective function as the minimum system length was solved. In addition, the effects of the input parameters including the total gearbox ratio, the wheel face width coefficient, the allowable contact stress and the output torque on the optimal transmission ratios were evaluated by conducting a simulation experiment. Moreover, several equations to find the optimum gear ratios were proposed.
This study is to determine effects of the dressing parameters to the flatness tolerance (Fl) when... more 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.
Advances in Engineering Research and Application, 2018
In this study, the Taguchi method was utilized to find the optional surface roughness in fine sur... more In this study, the Taguchi method was utilized to find the optional surface roughness in fine surface grinding of 9CrSi annealing tool steel using Hai Duong grinding wheels. Minitab 17 software was used to determine the number of experiments L16 of the Taguchi method including five cutting parameter factors namely cooling concentration (CC), cooling flow (F), cross feed (CF), table speed (Vw), and depth of cut (DOC). From the analysis results of a Signal to Noise ratio (S/N), the optimum process parameters for minimum surface roughness were proposed. In addition, it was found that the factor having the largest effect on surface roughness is the coolant concentration, followed by the cross feed, the table speed, the coolant flow and the depth of cut ranking the last. Besides, a model for determination of the surface roughness was recommended.
This paper introduces a study on multi-criteria optimization of the dressing parameters in surfac... more 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.
Assessment of soil and soil-water salinity is essential in agricultural production, therefore it ... more Assessment of soil and soil-water salinity is essential in agricultural production, therefore it is necessary to find out the non-costly, effective, rapid and reliable integrated methodology for this purpose. The paper presents the results of using the electromagnetic induction instrument EM31-MK2Ô in combination with collecting and analyzing soil and soil-water samples, and applying GIS and geostatistical techniques to assess the current status of soil and soil-water salinity in Ben Tre province. Apparent soil electrical conductivity ECa measured from ground surface to 6 m in depth increases from inland to the sea in northwest - southeast direction; ECa is closely related to topsoil salinity to 30 cm deep and to soil-water salinity at depth of 10–100 cm. Current status of soil and soil-water salinity in 2018 was assessed with a 4-fold increase in information, from 16 km2/data point to 4 km2/data point. Consequently four maps were established, consisting of electrical conductivity E...
Advances in Engineering Research and Application, 2019
In this paper, a study on calculating optimum gear ratios of mechanical driven systems using a ch... more In this paper, a study on calculating optimum gear ratios of mechanical driven systems using a chain drive and a two-step helical gearbox with the first step double gear sets is introduced. To determine the optimum ratios, an optimization problem was conducted with the selection of system cross section area as the objective function. Also, several input parameters consisting of the total system ratio, the wheel face width coefficients of the both helical gear sets, the allowable contact stress and the output torque were investigated. Furthermore, a simulation experiment was run to study the impacts of these parameters on the optimum ratios. The results show that the optimum ratios can be obtained with high accuracy by using recommended models.
This paper presents an optimization of dressing conditions for SKD-11 steel grinding using HaiDuo... more 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 paper introduces a study on the calculation of optimum gear ratios of a three stage bevel he... more This paper introduces a study on the calculation of optimum gear ratios of a three stage bevel helical gearbox. In this study, to find the optimum gear ratios, an optimization problem was performed. In the optimization problem, the gearbox length was chosen as the objective function. In addition, the effects of input parameters including the total gearbox ratio, the face width coefficients of the bevel and the helical gear sets, the allowable contact stress and the output torque were investigated. To evaluate the influence of these factors on the optimum gear ratios, a simulation experiment was designed and conducted by a computer program. Based on the results of the study, the influences of the input parameters on the optimum gear ratios were evaluated and models for calculation of the optimum gear ratios were found.
The objectives of this research are to determine the optimum values of grinding wheel parameters.... more 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.
Advances in Engineering Research and Application, 2019
This paper presents a study on the determination of the optimum gear ratios of a two-stage worm g... more This paper presents a study on the determination of the optimum gear ratios of a two-stage worm gearbox. To find the optimum gear ratios, an optimization problem was performed. Also, the reasonable gearbox structure was chosen as the objective function of the optimization problem. In addition, the effects of the input factors including the total gearbox ratio, the electric motor speed, and the output torque were investigated. Besides, a simulation experiment was designed and performed by computer programs to evaluate the influences of these input factors on the optimum gear ratios. Moreover, some models to calculate the optimum gear ratios of a two-stage worm gearbox were suggested. As these equations are explicit, the determination of the optimum gear ratios is accurate and uncomplicated.
Advances in Engineering Research and Application, 2019
The paper presents a study on determining optimum gear ratios of mechanical driven systems using ... more The paper presents a study on determining optimum gear ratios of mechanical driven systems using a two-stage helical gearbox with second stage double gear sets and a chain drive. In the study, an optimization problem with the objective function as the minimum system length was solved. In addition, the effects of the input parameters including the total gearbox ratio, the wheel face width coefficient, the allowable contact stress and the output torque on the optimal transmission ratios were evaluated by conducting a simulation experiment. Moreover, several equations to find the optimum gear ratios were proposed.
This study is to determine effects of the dressing parameters to the flatness tolerance (Fl) when... more 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.
Advances in Engineering Research and Application, 2018
In this study, the Taguchi method was utilized to find the optional surface roughness in fine sur... more In this study, the Taguchi method was utilized to find the optional surface roughness in fine surface grinding of 9CrSi annealing tool steel using Hai Duong grinding wheels. Minitab 17 software was used to determine the number of experiments L16 of the Taguchi method including five cutting parameter factors namely cooling concentration (CC), cooling flow (F), cross feed (CF), table speed (Vw), and depth of cut (DOC). From the analysis results of a Signal to Noise ratio (S/N), the optimum process parameters for minimum surface roughness were proposed. In addition, it was found that the factor having the largest effect on surface roughness is the coolant concentration, followed by the cross feed, the table speed, the coolant flow and the depth of cut ranking the last. Besides, a model for determination of the surface roughness was recommended.
This paper introduces a study on multi-criteria optimization of the dressing parameters in surfac... more 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.
Assessment of soil and soil-water salinity is essential in agricultural production, therefore it ... more Assessment of soil and soil-water salinity is essential in agricultural production, therefore it is necessary to find out the non-costly, effective, rapid and reliable integrated methodology for this purpose. The paper presents the results of using the electromagnetic induction instrument EM31-MK2Ô in combination with collecting and analyzing soil and soil-water samples, and applying GIS and geostatistical techniques to assess the current status of soil and soil-water salinity in Ben Tre province. Apparent soil electrical conductivity ECa measured from ground surface to 6 m in depth increases from inland to the sea in northwest - southeast direction; ECa is closely related to topsoil salinity to 30 cm deep and to soil-water salinity at depth of 10–100 cm. Current status of soil and soil-water salinity in 2018 was assessed with a 4-fold increase in information, from 16 km2/data point to 4 km2/data point. Consequently four maps were established, consisting of electrical conductivity E...
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