Characteristics optimization of powder mixed electric discharge machining using titanium powder for die steel materials

Banh, Tien–Long; Huu, Phan Nguyen; Cuong, Ngo; Nguyen, Duc-Toan

doi:10.1177/0954408917693661

Cited by 32 publications

(14 citation statements)

References 17 publications

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“…A higher grey relational grade corresponds to the best optimal setting of process parameters for multi responses. The utilization of Taguchi system with the Grey relational analysis is considerably improved the parametric optimization for varied quality characteristics and the same is also reported in others research work [14][15]. The methodology followed in the present work for performing GRA is depicted in Fig.…”

Section: Multi Response Optimization: Grey Relational Analysis (Gra)supporting

confidence: 67%

Grey Relational Analysis of EDM of Ti6Al4V using TiC/Cu Composite Tool Electrode Made with Nano and Micron Sized Particles

Rao¹,

Ramji²,

Rao³

2019

IJEAT

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This paper covers the use of Taguchi based grey relational analysis in EDM process. The analysis is used to determine an optimum combination of process parameters, which involves individual and simultaneous improvement of surface roughness (SR) and the micro hardness (MH) of Ti6Al4V alloy in electric discharge machining (EDM). The tool used in the machining process is TiC/Cu powder metallurgy (P/M) electrode. Taguchi’s L18 mixed orthogonal array is used to plan experimentations which includes the machine tool and electrode parameters as the study parameters. The analysis of variance (ANOVA) for grey relational grade showed that particle size EDM electrode was the most dominant factor (64.13%) followed by peak current (7.41%) in influencing surface quality of EDMed Ti6Al4V alloy. Whereas, peak current is the most influential parameter while evaluating the individual responses of SR and MH. Finally, the optimum combination of process parameters was validated by confirmation experiments that considerably improved the multiple quality characteristics simultaneously.

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Section: Multi Response Optimization: Grey Relational Analysis (Gra)supporting

confidence: 67%

Grey Relational Analysis of EDM of Ti6Al4V using TiC/Cu Composite Tool Electrode Made with Nano and Micron Sized Particles

Rao¹,

Ramji²,

Rao³

2019

IJEAT

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“…to optimize process parameters to improve quality as well as performance characteristics. 14 Banh et al 15 optimized process parameters using Taguchi based grey relation analysis to improve MRR, tool life, micro hardness and reduce surface roughness in EDM of die steel material. The surface roughness and tool wear are found minimum with improved micro hardness and MRR at optimum process parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of kerf width and surface roughness in wire cut electric discharge machining of Ti-6Al-4V

Rao

Raju

Kumar

2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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Surface roughness and kerf width are the two challenging quality characteristics in wire cut electric discharge machining (WEDM) of Ti-6Al-4V to improve accuracy in machining. In this study, effect of wire displacement on the kerf width and surface roughness is studied in WEDM of Ti-6Al-4V. Mechanistic models are developed for kerf width and surface roughness using amplitude and frequency of wire vibration in X and Y directions. Amplitude and frequency of wire displacement in X and Y directions are directly measured using an accelerometer at different working conditions. The estimated kerf width and surface roughness are compared with the experimental results and the average error between them is found to be 3.7 and 4.2% respectively. The results showed that the current and wire tension have significant effect on the wire displacement. The kerf width and surface roughness are effected more by the applied current and the metal removal rate is effected by current and pulse on time. A working condition with 3.3 A of current, 15 N of wire tension, 14.4 µs of pulse on time and 41.5 µs of pulse off time is found to be an optimum working condition.

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“…Singh and Sharma [42] determined an optimal parametric combination for obtaining outstanding machining performance of WC alloy using PMEDM. Banh et al [43] determined an appropriate combination of work material, electrode material, polarity, pulse-on time, current, pulse-off time, and titanium powder concentration for sound EDM performance of die steel. The concentration of powder particles was found to be the most significant factor contributing MRR, TWR, surface roughness, and micro-hardness.…”

Section: Background and Rationalementioning

confidence: 99%

EDM performance of Inconel 718 superalloy: application of multi-walled carbon nanotube (MWCNT) added dielectric media

Jadam

Sahu

Datta

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Electro-discharge machining (EDM) is very promising non-traditional machining route to cut 'difficult-to-machine' materials like Inconel 718 superalloy. However, low material removal efficiency and inferior surface integrity restricts EDM application on Inconel 718. In order to improve EDM performance, multi-walled carbon nanotube (MWCNT) dispersed into kerosene is explored as dielectric media. Experiments are conducted by varying peak discharge current with a fixed concentration of MWCNT (0.5 g/l) added to kerosene. EDM performance is assessed in purview of material removal efficiency, tool wear rate, and surface integrity (morphology and topography) of the EDMed specimen. Apart from morphological study, surface topography including surface roughness, crack density, recast layer thickness, metallographic alteration, residual stress, and micro-indentation hardness of the machined specimen are studied in detail. It is concluded that as compared to conventional EDM, use of MWCNT-mixed dielectric media (0.5 g/l) significantly improves machining performance.

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Characteristics optimization of powder mixed electric discharge machining using titanium powder for die steel materials

Cited by 32 publications

References 17 publications

Grey Relational Analysis of EDM of Ti6Al4V using TiC/Cu Composite Tool Electrode Made with Nano and Micron Sized Particles

Grey Relational Analysis of EDM of Ti6Al4V using TiC/Cu Composite Tool Electrode Made with Nano and Micron Sized Particles

Modeling of kerf width and surface roughness in wire cut electric discharge machining of Ti-6Al-4V

EDM performance of Inconel 718 superalloy: application of multi-walled carbon nanotube (MWCNT) added dielectric media

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