Prediction of Controllable Process Variables for Various Workpiece Materials in CNC-WEDM

Kachhap, Sabindra; Singh, Abhishek

doi:10.1007/978-981-13-2944-9_13

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Wire electric discharge machining (WEDM) is a non-conventional machining process, and it uses thermal energy for machining. In this method, the thermal energy is utilized to melt partial vaporization of work material by concentrating such energy on a small zone of the workpiece (Singh, Kumar and Goyal, 2013; Kachhap and Singh, 2019). The basic mechanism of metal removal WEDM is identical to that in die-sinking type electrical discharge machining (Singh et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of cryogenically treated wires during wire electric discharge machining of AISI D3 die tool steel under different cutting environments

Sharma

Goyal

Kumar³

2019

MMMS

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Purpose Tool steel (AISI D3) is a preferred material for industrial usage. Some of the typical applications of D3 tool steel are blanking and forming dies, forming rolls, press tools and punches bushes. It is used under conditions where high resistance to wear or to abrasion is required and also for resistance to heavy pressure rather than to sudden shock is desirable. It is a high carbon and high chromium steel. Therefore, wire electric discharge machining (WEDM) is used to machine this tool steel. The paper aims to discuss these issues. Design/methodology/approach The present experimental investigation evaluates the influence of cryogenically treated wires on material removal rate (MRR) and surface roughness (SR) for machining of AISI D3 steel using the WEDM process. Two important process responses MRR and SR have been studied as a function of four different control parameters, namely pulse width, time between two pulses, wire mechanical tension and wire feed rate. Findings It was found that pulse width was the most significant parameter which affects the MRR and SR. Better surface finish was obtained with cryogenically treated zinc coated wire than brass wire. Originality/value The review of the literature indicates that there is limited published work on the effect of machining parameters in WEDM in cryogenic treated wires. Therefore, in this research work, it was decided to evaluate the effect of cryogenically treated wires on WEDM.

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Section: Introductionmentioning

confidence: 99%

Performance evaluation of cryogenically treated wires during wire electric discharge machining of AISI D3 die tool steel under different cutting environments

Sharma

Goyal

Kumar³

2019

MMMS

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“…Wire electric discharge machining (WEDM) is a non-conventional kind of precision machining process which using an electrical spark and thermal-erosion process between the electrode cathode and the working piece anode are immersed in a dielectric fluid liquid [1] . The spark and thermal-erosion manufacturing process of WEDM is a great value in machining of mould materials, so as to accomplish the required shapes and sizes with improved productivity, better surface and dimensional accuracy [2] . Since, it has progressively exceptional advantages, the WEDM has been widely applied in modern metal industry for producing complex shapes, cavities in moulds and dies, which are difficult to manufacture by traditional machining techniques [3] .…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization for maximization of MRR in WEDM of D2 steel material

Rathod¹,

Rudrapati²

2019

Int. J. Adv. Acad. Stud.

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The present work is planned to optimize the material removal rate (MRR) in wire electrical discharge machining (WEDM) of D2 tool steel. Machining parameters namely pulse on time, pulse off-time, voltage gap and wire feed have been chosen for the present investigation to perform experimental runs. The experiments have been conducted using L16orthogonal array of Taguchi method. The effects of machining parameters on MRR has been determined by utilizing signal-to-noise ratio and graphical main affects plot. The optimum parametric condition has been acquired for looking for maximizing MRR by using Taguchi method. Confirmatory experiments have also been conducted to verify the predicted parametric setting. From the present investigation, it is found that Taguchi method is robust to study, analyze and optimize processing conditions in WEDM.

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Development of statistical and soft computing regression models for WEDM machining of aluminum composites

et al. 2024

Int J Interact Des Manuf

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Prediction of Controllable Process Variables for Various Workpiece Materials in CNC-WEDM

Cited by 5 publications

References 13 publications

Performance evaluation of cryogenically treated wires during wire electric discharge machining of AISI D3 die tool steel under different cutting environments

Performance evaluation of cryogenically treated wires during wire electric discharge machining of AISI D3 die tool steel under different cutting environments

Parametric optimization for maximization of MRR in WEDM of D2 steel material

Development of statistical and soft computing regression models for WEDM machining of aluminum composites

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