Multi Response Optimization of Green Sand Moulding Parameters Using Taguchi-DEAR Method

Sandeep, M.J.; Manjunath, Patel G.C.; Chate, Ganesh R.; Parappagoudar, Mahesh B.; Daivagna, Umesh M.

doi:10.4028/www.scientific.net/amm.895.1

Cited by 14 publications

(6 citation statements)

References 17 publications

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“…Thus, it is necessary to solve the problem of multi-objective optimization. DEAR method is used in the research and performed in the following steps [25][26][27]:…”

Section: Dear Methodsmentioning

confidence: 99%

Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

Hong¹,

Nhu²

2021

Tribol. Ind.

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This paper presents a study on multi-objective optimization of turning process AISI 1055 steel. It designs 9 experiments (L9) for a Taguchi test series matrix. The four parameters of input include spindle speed, feed rate, depth of cut, tool nose radius. The AISI 1055 steel machining operation experiments are carried out based on the matrix created. They are performed on a conventional lathe. The factors considered for evaluating the machining quality include surface roughness, cutting force in X, Y, Z directions and material removal rate (MRR). First, the research is carried out to identify the impact of the input parameters on the output parameters. Analysis of experimental results show that spindle speed significantly affects all three components of cutting force, but slightly influences the surface roughness. Regarding feed rate, this is the parameter that has a strong effect on surface roughness and cutting force Fx but not on the cutting force Fy and Fz. Meanwhile, the depth of cut has a considerable influence on the force in the x and y directions but a limited impact on the surface roughness and the force in the z direction. Similar to the cutting speed, the tool nose radius is noticeable to all three components of the cutting force and negligible to surface roughness. The second aim of this study is to determine the value of the cutting parameters to achieve the minimum of surface roughness and cutting force and the maximum of MRR. The Data Envelopment Analysis-based Ranking (Dear) method is applied to solve multi-objective problems. The paper identified the optimum values of spindle speed, feed rate, depth of cut and tool nose radius are 910 rev/min, 0.194 mm/rev, 0.2 mm and 0.2 mm, respectively.

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“…Thus, it is necessary to solve the problem of multi-objective optimization. DEAR method is used in the research and performed in the following steps [25][26][27]:…”

Section: Dear Methodsmentioning

confidence: 99%

Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

Hong¹,

Nhu²

2021

Tribol. Ind.

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“…This is a simple method, which has been performed in many studies, in many different fields such as multi-objective optimization of turning process [29,30], multi-objective optimization of EDM machining [31], etc. The steps to follow the DEAR method are as follows [32][33][34]:…”

Section: Engineeringmentioning

confidence: 99%

Research on selection of abrasive grain size and cutting parameters when grinding of interrupted surface using aluminum oxide grinding wheel with ceramic binder

Trung

2022

Eureka: PE

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In this article, a study on intermittent surface grinding using aluminum oxide grinding wheel with ceramic binder is presented. The testing material is 20XH3A steel (GOST standard – Russian Federation). The testing sample has been sawn 6 grooves, with the width of each groove of 10 mm, the grooves are evenly distributed on the circumference of sample. The testing sample resembles a splined shaft. An experimental matrix of nine experiments has been built by Taguchi method, in which abrasive grain size, workpiece speed, feed rate and depth of cut were selected as input variables. At each experiment, surface roughness (Ra) and roundness error (RE) have been measured. Experimental results show that the aluminum oxide and ceramic binder grinding wheels are perfectly suitable for grinding intermittent surface of 20XH3A steel. Data Envelopment Analysis based Ranking (DEAR) method has been used to solve the multi-objective optimization problem. The results also showed that in order to simultaneously ensure minimum surface roughness and RE, abrasive grain size is 80 mesh, workpiece speed is 910 rpm, feed rate is 0.05 mm/rev and depth of cut is 0.01 mm. If evaluating the grinding process through two criteria including surface roughness and RE, depth of cut is the parameter having the greatest effect on the grinding process, followed by the influence of feed rate, workpiece speed, and abrasive grain is the parameter having the least effect on the grinding process. In addition, the effect of each input parameter on each output parameter has also been analyzed, and orientations for further works have also been recommended in this article

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“…The aim of this research was determination of the input parameters to obtain the minimum values of machining surface roughness and vibration amplitudes in X, Z, Y directions. The DEAR technique that was used to solve optimization problem consisted of the steps as the following [25][26][27].…”

Section: Multi-objective Optimization Using Dear Techniquementioning

confidence: 99%

“…For each input parameter, at any of the investigated levels that the MRPI is the smallest value is considered to be the best level. Subtract the maximum value of the MPRI from the minimum value of the MRPI, the input parameters that has the subtraction value of MRPI is the largest among the selected input parameters is considered to have the greatest influence on the output parameters [25][26][27].…”

Section: Mrpi W R W a W A W Amentioning

confidence: 99%

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A Research on Multi-Objective Optimization of the Grinding Process Using Segmented Grinding Wheel by Taguchi-Dear Method

et al. 2021

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In this study, the mutil-objective optimization was applied for the surface grinding process of SAE420 steel. The aluminum oxide grinding wheels that were grooved by 15 grooves, 18 grooves, and 20 grooves were used in the experimental process. The Taguchi method was applied to design the experimental matrix. Four input parameters that were chosen for each experiment were the number of grooves in cylinder surface of grinding wheel, workpiece velocity, feed rate, and cutting depth. Four output parameters that were measured for each experimental were the machining surface roughness, the system vibrations in the three directions (X, Y, Z). The DEAR technique was applied to determine the values of the input parameters to obtaine the minimum values of machining surface roughness and vibrations in three directions. By using this technique, the optimum values of grinding wheel groove number, workpiece velocity, feed-rate, cutting depth were 18 grooves, 15 m/min, 2 mm/stroke, and 0.005 mm, respectively. The verified experimental was performed by using the optimum values of input parameters. The validation results of surface roughness and vibrations in X, Y, Z directions were 0.826 (µm), 0.531 (µm), 0.549 (µm), and 0. 646 (µm), respectively. These results were great improved in comparing to the normal experimental results. Taguchi method and DEAR technique can be applied to improve the quality of grinding surface and reduce the vibrations of the technology system to restrain the increasing of the cutting forces in the grinding process. Finally, the research direction was also proposed in this study

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Multi Response Optimization of Green Sand Moulding Parameters Using Taguchi-DEAR Method

Cited by 14 publications

References 17 publications

Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

Research on selection of abrasive grain size and cutting parameters when grinding of interrupted surface using aluminum oxide grinding wheel with ceramic binder

A Research on Multi-Objective Optimization of the Grinding Process Using Segmented Grinding Wheel by Taguchi-Dear Method

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