Diamond face grinding of WC-Co composite with spark assistance: Experimental study and parameter optimization

Singh, Gyanendra Kumar; Yadava, Vinod; Kumar, Rajneesh

doi:10.1007/s12541-010-0059-3

Cited by 65 publications

(26 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to obtain surface integrity of Ti-6Al-4V, graphite, electrolytic copper, aluminium and copper-tungsten material were researched as EDM electrodes [11][12][13][14]. EDM dielectric-water-in-oil, kerosene and deionized water were studied to get high MRR and low EWR [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

Tang

2013

Int J Adv Manuf Technol

102

View full text Add to dashboard Cite

Ti-6Al-4V is widely used in the aerospace, automobile, and biomedical fields, but is a difficult-to-machine material. Electrical discharge machining (EDM) is regarded as one of the most effective approaches to machining Ti-6Al-4V alloy, since it is a non-contact electro-thermal machining method, and it is independent from the mechanical properties of the processed material. This paper aims to combine grey relational analysis and Taguchi methods to solve the problem of EDM parameters optimization. From the viewpoint of health and environment, tap water as working fluid has good working environment, since it does not release harmful gas. The process parameters include discharge current, gap voltage, lifting height, negative polarity and pulse duty factor. The electrode wear ratio (EWR), material removal rate (MRR) and surface roughness (SR) as objective parameters are chosen to evaluate the whole machining effects. Experiments were carried out based on Taguchi L 9 orthogonal array and grey relational analysis, and then verified the results through a confirmation experiment. Compared the machining parameters A 1 B 1 C 3 D 2 with A 1 B 2 C 2 D 2 , MRR increased from 1.28 mm 3 /min to 2.38 mm 3 /min, EWR decreased from 0.14 to 0.10 mm 3 /min and SR decreased from Ra 2.37 μm to Ra 1.93 μm. The process parameters sequenced in order of relative importance are: the ratio of pulse width to pulse interval, discharge current, lifting height and gap voltage. The results showed that using tap water machining Ti-6Al-4V material can obtain high MRR, decrease the machining cost and have no harmful to the operators and the environment.

show abstract

Section: Introductionmentioning

confidence: 99%

Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

Tang

2013

Int J Adv Manuf Technol

102

View full text Add to dashboard Cite

show abstract

“…Although a few articles have discussed the use of a similar process to shape difficultto-machine materials, the electrode rotation speed of this process is very low. [14][15][16][17] With the above background in mind, a research programme has been launched to study the progress of the AEDM-HS, which can overcome most of the problems encountered in machining MMCs: low material removal rate, and poor surface integrity. This paper focuses on the analysis of the material removal rate and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

High speed abrasive electrical discharge machining of particulate reinforced metal matrix composites

Liu

Yue

2015

Int. J. Precis. Eng. Manuf.

View full text Add to dashboard Cite

A high speed abrasive electrical discharge machining (AEDM-HS) process has been developed to improve the performance and save the machining energy of the conventional EDM process in machining particulate reinforced metal matrix composites (MMCs). The AEDM-HS process functions under a combined action of spark erosion and direct mechanical grinding. A set of experiments was conducted and the results showed that the material removal rate (MRR) of AEDM-HS was much higher than that of EDM under the experimental conditions of this study. Moreover, the surface roughness value (Ra) measured for the AEDM-HS specimen was about six times smaller than that of the specimen machined without high speed abrasive action (i.e., EDM alone). The material removal mechanism of this novel process has been analyzed by means of single-pulse experimentation. And the relative importance of the various processing parameters on MRR was established using orthogonal analysis. The results showed that the MRR is influenced by the machining factors in the order of duty cycle > current > pulse duration. This study showed that the AEDM-HS process is superior to the EDM process for machining particulate reinforced MMCs, where a higher machining efficiency and a better surface quality can be obtained.

show abstract

“…Yadav et al 14 experimentally proved that wheel speed is a more significant parameter of EDDG process during machining of HSS workpiece. Singh et al 15,16 developed EDDG process in face grinding configuration, and the performances of the process are tested on HSS and WC-Co composite workpiece materials. They claimed that material removal capability of diamond wheel declines at low current and low wheel speed due to wheel glazing.…”

Section: Introductionmentioning

confidence: 99%

“…They claimed that material removal capability of diamond wheel declines at low current and low wheel speed due to wheel glazing. 16 Kozak 17 claimed that chip particles easily entrapped in workpiece and bond material due to thermal softening, resulting in abnormal arcing, which adversely affects the performance of the process.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization of slotted electrical discharge abrasive grinding of metal matrix composite using artificial neural network and nondominated sorting genetic algorithm

Yadav

Yadava

2013

Proceedings of the Institution of Mechanical Engineers, Part B:

Self Cite

View full text Add to dashboard Cite

The alternative use of electrical discharge grinding and abrasive grinding, which is applied with the application of slotted wheel named as slotted electrodischarge abrasive grinding, is much suitable for machining of metal matrix composites. But the selection of process parameters is a difficult task due to the complexity of the process. The aim of this study is to optimize the process parameters of slotted electrodischarge abrasive grinding process using a combined approach of artificial neural network and nondominated sorting genetic algorithm II. The artificial neural network architecture has been trained and tested with experimental data, and then the developed model is coupled with nondominated sorting genetic algorithm II to develop a hybrid approach of artificial neural network–nondominated sorting genetic algorithm II, which is used for optimization of process parameters. During experimentation, the effect of current, pulse on-time, pulse off-time, wheel speed and grit number has been studied on material removal rate and average surface roughness (Ra). The results have shown that prediction capability of artificial neural network model is within the range of acceptable limits. The developed hybrid approach of artificial neural network–nondominated sorting genetic algorithm II gives optimal solution with correlation coefficient of material removal rate and Ra as 0.9979 and 0.9982, respectively.

show abstract

Diamond face grinding of WC-Co composite with spark assistance: Experimental study and parameter optimization

Cited by 65 publications

References 9 publications

Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

High speed abrasive electrical discharge machining of particulate reinforced metal matrix composites

Multiobjective optimization of slotted electrical discharge abrasive grinding of metal matrix composite using artificial neural network and nondominated sorting genetic algorithm

Contact Info

Product

Resources

About