The objective of the present work is to investigatethe effects of various WEDM process
parameter... more The objective of the present work is to investigatethe effects of various WEDM process parameters like pulse on time, pulse off time, corner servo, flushing pressure, wire feed rate, wire tension, spark gap voltage and servo feed on the material removal rate (MRR) & Surface Roughness (SR) and to obtain the optimal settings of machining parameters at which the material removal rate (MRR) is maximum and the Surface Roughness (SR) is minimum in a range. In the present investigation, Inconel 825 specimen is machined by using brass wire as electrode and the response surface methodology (RSM) is for modelling a second-order response surface to estimate the optimum machining condition to produce the best possible response within the experimental constraints.
The objective of the present work is to investigate the effectsof various WEDM process parameters... more The objective of the present work is to investigate the effectsof various WEDM process parameters such as pulse on time, pulse off time, servo voltage and wire feed rate on the Material Removal Rate (MRR), Surface Roughness (SR) and cutting rate. Secondly, to obtain the optimal settings of machining parameters at which the Material Removal Rate (MRR) and cutting rate are maximum and the Surface Roughness (SR) is minimum in a range. The experiments were carried out as per design of experiment approach using L27 (3 4 ) orthogonal array. In the present investigation, AISI D2 steel specimen is machined by using brass wire as electrode and the response surface methodology (RSM) is used for modelling a second-order response surface to estimate the optimum machining condition to produce the best possible response within the experimental constraints. The results from this study will be useful for manufacturing engineers to select appropriate set of process parameters to machine AISI D2 steel.
Electrical Discharge Machining performance is generally evaluated on the basis of Material Remova... more Electrical Discharge Machining performance is generally evaluated on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), Relative Wear Ratio (RWR) and Surface Roughness (SR). The important EDM machining parameters affecting to the performance measures of the process are discharge current, pulse on time, pulse off time, arc gap, and duty cycle [9]. A considerable amount of work has been reported by the researchers on the measurement of EDM performance on the basis of MRR, TWR, RWR, and SR for various materials. Several approaches are proposed in the literature to solve the problems related with optimization of these parameters. It is felt that a review of the various approaches developed would help to compare their main features and their relative advantages or limitations to allow choose the most suitable approach for a particular application and also throw light on aspects that needs further attention. In view of above, this paper presents a review of development done in the optimization of EDM related process parameters.
The objective of the present work is to investigatethe effects of various WEDM process
parameter... more The objective of the present work is to investigatethe effects of various WEDM process parameters like pulse on time, pulse off time, corner servo, flushing pressure, wire feed rate, wire tension, spark gap voltage and servo feed on the material removal rate (MRR) & Surface Roughness (SR) and to obtain the optimal settings of machining parameters at which the material removal rate (MRR) is maximum and the Surface Roughness (SR) is minimum in a range. In the present investigation, Inconel 825 specimen is machined by using brass wire as electrode and the response surface methodology (RSM) is for modelling a second-order response surface to estimate the optimum machining condition to produce the best possible response within the experimental constraints.
The objective of the present work is to investigate the effectsof various WEDM process parameters... more The objective of the present work is to investigate the effectsof various WEDM process parameters such as pulse on time, pulse off time, servo voltage and wire feed rate on the Material Removal Rate (MRR), Surface Roughness (SR) and cutting rate. Secondly, to obtain the optimal settings of machining parameters at which the Material Removal Rate (MRR) and cutting rate are maximum and the Surface Roughness (SR) is minimum in a range. The experiments were carried out as per design of experiment approach using L27 (3 4 ) orthogonal array. In the present investigation, AISI D2 steel specimen is machined by using brass wire as electrode and the response surface methodology (RSM) is used for modelling a second-order response surface to estimate the optimum machining condition to produce the best possible response within the experimental constraints. The results from this study will be useful for manufacturing engineers to select appropriate set of process parameters to machine AISI D2 steel.
Electrical Discharge Machining performance is generally evaluated on the basis of Material Remova... more Electrical Discharge Machining performance is generally evaluated on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), Relative Wear Ratio (RWR) and Surface Roughness (SR). The important EDM machining parameters affecting to the performance measures of the process are discharge current, pulse on time, pulse off time, arc gap, and duty cycle [9]. A considerable amount of work has been reported by the researchers on the measurement of EDM performance on the basis of MRR, TWR, RWR, and SR for various materials. Several approaches are proposed in the literature to solve the problems related with optimization of these parameters. It is felt that a review of the various approaches developed would help to compare their main features and their relative advantages or limitations to allow choose the most suitable approach for a particular application and also throw light on aspects that needs further attention. In view of above, this paper presents a review of development done in the optimization of EDM related process parameters.
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Papers by Vikram Singh
parameters like pulse on time, pulse off time, corner servo, flushing pressure, wire feed rate, wire
tension, spark gap voltage and servo feed on the material removal rate (MRR) & Surface Roughness
(SR) and to obtain the optimal settings of machining parameters at which the material removal rate
(MRR) is maximum and the Surface Roughness (SR) is minimum in a range. In the present
investigation, Inconel 825 specimen is machined by using brass wire as electrode and the response
surface methodology (RSM) is for modelling a second-order response surface to estimate the
optimum machining condition to produce the best possible response within the experimental
constraints.
off time, servo voltage and wire feed rate on the Material Removal Rate (MRR), Surface Roughness (SR) and cutting rate.
Secondly, to obtain the optimal settings of machining parameters at which the Material Removal Rate (MRR) and cutting rate are
maximum and the Surface Roughness (SR) is minimum in a range. The experiments were carried out as per design of experiment
approach using L27 (3
4
) orthogonal array. In the present investigation, AISI D2 steel specimen is machined by using brass wire
as electrode and the response surface methodology (RSM) is used for modelling a second-order response surface to estimate the
optimum machining condition to produce the best possible response within the experimental constraints. The results from this
study will be useful for manufacturing engineers to select appropriate set of process parameters to machine AISI D2 steel.
parameters like pulse on time, pulse off time, corner servo, flushing pressure, wire feed rate, wire
tension, spark gap voltage and servo feed on the material removal rate (MRR) & Surface Roughness
(SR) and to obtain the optimal settings of machining parameters at which the material removal rate
(MRR) is maximum and the Surface Roughness (SR) is minimum in a range. In the present
investigation, Inconel 825 specimen is machined by using brass wire as electrode and the response
surface methodology (RSM) is for modelling a second-order response surface to estimate the
optimum machining condition to produce the best possible response within the experimental
constraints.
off time, servo voltage and wire feed rate on the Material Removal Rate (MRR), Surface Roughness (SR) and cutting rate.
Secondly, to obtain the optimal settings of machining parameters at which the Material Removal Rate (MRR) and cutting rate are
maximum and the Surface Roughness (SR) is minimum in a range. The experiments were carried out as per design of experiment
approach using L27 (3
4
) orthogonal array. In the present investigation, AISI D2 steel specimen is machined by using brass wire
as electrode and the response surface methodology (RSM) is used for modelling a second-order response surface to estimate the
optimum machining condition to produce the best possible response within the experimental constraints. The results from this
study will be useful for manufacturing engineers to select appropriate set of process parameters to machine AISI D2 steel.