Effect of Cryogenic Treatment of Tool Electrode on the Machining Performance and Surface Finish during Electrical Discharge Machining of Hastelloy C-4

Choudhary, Rajesh; Garg, Himanshu; Prasad, M. Guru; Kumar, Durgesh

doi:10.1016/j.matpr.2017.01.132

Cited by 19 publications

(7 citation statements)

References 5 publications

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“…The enhanced performance of DCT Cu can be attributed to the improved microstructure. The refinement of grain size played a pivotal role in reducing irregular and uneven sparking during the process [ 51 , 52 ]. Consequently, DCT Cu yielded a higher level of surface refinement compared to SCT Cu.…”

Section: Resultsmentioning

confidence: 99%

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining

Sana,

Farooq,

Anwar

et al. 2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining

Sana,

Farooq,

Anwar

et al. 2023

Heliyon

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“…It was also observed that a few works have been carried out on aerospace materials such as Nimonic, Titanium alloys, Hastelloy, Hayeness alloys, Magnesium alloys, etc. [ 27 , 114 , 119 , 122 , 134 ]. These alloys have vital applications in manufacturing parts in the aircraft and automotive industries.…”

Section: Discussionmentioning

confidence: 99%

“…Most of the researchers implemented the Taguchi method for analysis [ 27 , 37 , 40 , 44 , 54 , 55 , 57 , 82 , 83 , 105 , 106 , 112 , 113 ]. Some researchers used the response surface methodology (RSM) technique for analyzing the EDM process parameters [ 28 , 30 , 31 , 32 , 33 , 36 , 38 , 110 , 114 ].…”

Section: Statistical Tools and Artificial Intelligence Techniques App...mentioning

confidence: 99%

“…The influence of discharge current, voltage, pulse on-time, pulse off-time, duty factor, and flushing pressure on performance measures has been extensively researched. According to leading researchers’ literature reports, pulse on-time [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ], pulse off-time [ 26 , 27 , 28 , 30 , 32 ], voltage [ 26 , 28 , 33 ], current [ 30 , 31 , 32 , 33 , 34 ], and liquid flushing pressure [ 33 , 35 ] are the critical processes parameters that merit further investigation. Along with process parameters, the critical responses of the process, such as MRR, TWR, machined surface quality, and drilled hole accuracy, are used to evaluate EDM performance.…”

Section: Introductionmentioning

confidence: 99%

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Reviewing Performance Measures of the Die-Sinking Electrical Discharge Machining Process: Challenges and Future Scopes

et al. 2022

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The most well-known and widely used non-traditional manufacturing method is electrical discharge machining (EDM). It is well-known for its ability to cut rigid materials and high-temperature alloys that are difficult to machine with traditional methods. The significant challenges encountered in EDM are high tool wear rate, low material removal rate, and high surface roughness caused by the continuous electric spark generated between the tool and the workpiece. Researchers have reported using a variety of approaches to overcome this challenge, such as combining the die-sinking EDM process with cryogenic treatment, cryogenic cooling, powder-mixed processing, ultrasonic assistance, and other methods. This paper examines the results of these association techniques on various performance measures, such as material removal rate (MRR), tool wear rate (TWR), surface roughness, surface integrity, and recast layer formed during machining, and identifies potential gap areas and proposes a solution. The manuscript is useful for improving performance and introducing new resolutions to the field of EDM machining.

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“…When MRR is lower, a surface that seems to be comparatively smoother is produced [23]. When welding titanium alloys, the size of the crater increases as the feed rate increases [24].…”

Section: Surface Integritymentioning

confidence: 99%

Wire Electrical Discharge Machining Process: Challenges and Future Prospects

Shehata

El‐Hadad

Attia

2022

International Journal of Materials Technology and Innovation

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Titanium alloys, due to their distinctive properties, are widely used in modern commercial applications. However, these alloys face challenges of machining via traditional techniques such as milling and turning. One of the unique thermal machining techniques that offer an effective choice with the highest dimensional precision and surface finish for Ti alloys is Wire Electrical Discharge Machining (WEDM). This method is based on the effect of erosion, where a highly repetitive electrical spark causes the material to be removed. The key challenges in WEDM are machining mode, wire electrode, dielectric, metal removal rate, and surface integrity as related to WEDM parameters were analyzed and correlated. Furthermore, Low metal removable rates, excessive tool wear, the production of recast layers, and heat-affected zones provide additional dilemmas when applied to titanium alloys. The majority of these obstacles occur as a result of titanium alloys' remarkable properties, such as low thermal conductivity, high melting temperature, and wear resistance. The first part of this paper highlights the research trends in WEDM on finding the relationships among various process parameters, such as cutting speed, the time between two pulses, servo voltage, peak current, dielectric fluid, wire tension, and machining modes that have a crucial impact on a variety of process responses, such as MRR, Ra, sparking gap, and WWR as well as surface integrity. The second part of the article also discusses various modeling, simulation, and optimization technique for monitoring process parameters to investigate the feasibility of various control practices for achieving the optimum machining conditions. The final part of the paper highlights these advancements and includes a roadmap for the potential future directions of WEDM research.

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Effect of Cryogenic Treatment of Tool Electrode on the Machining Performance and Surface Finish during Electrical Discharge Machining of Hastelloy C-4

Cited by 19 publications

References 5 publications

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining

Reviewing Performance Measures of the Die-Sinking Electrical Discharge Machining Process: Challenges and Future Scopes

Wire Electrical Discharge Machining Process: Challenges and Future Prospects

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