Applications of hybrid artificial intelligence tool in wire electro discharge machining of 7075 aluminium alloy

Thejasree, P.; Manikandan, N.

doi:10.1007/s12008-023-01315-7

Cited by 35 publications

(3 citation statements)

References 17 publications

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“…However, it is not without drawbacks, including slow material removal rates and high power consumption. EDM's applications span various industries, from aerospace to automotive R&D [25,26]. Its ability to machine hard materials and deliver precision makes it a staple in modern manufacturing [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

“…The performance parameters of the Ti-6Al-4V alloy were measured utilizing a maglev EDM operation with bio-dielectrics made of canola and neem oils. Comparing the outcomes for each bio-dielectric at different discharge voltages (22,25, and 28 V) while varying the discharge current (220-250 mA) was performed. In comparison to EDM oil, the performance assessment shows (25)(26)(27)(28) lower SE consumption in neem oil and (35)(36)(37) in canola oil.…”

Section: Introductionmentioning

confidence: 99%

“…Comparing the outcomes for each bio-dielectric at different discharge voltages (22,25, and 28 V) while varying the discharge current (220-250 mA) was performed. In comparison to EDM oil, the performance assessment shows (25)(26)(27)(28) lower SE consumption in neem oil and (35)(36)(37) in canola oil. Using bio-dielectrics, the examination of surface morphology shows reduced deformities and improved homogeneity [37].…”

Section: Introductionmentioning

confidence: 99%

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Parametric Investigation of the Effects of Electrical Discharge Machining on Plain D2 Steel

Hassan,

Mushtaq,

Mashood Khan

et al. 2023

Metals

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Electrical discharge machining (EDM) has emerged as a pivotal non-conventional production technique due to its unique capability to machine without the cutting tool’s physical contact with the workpiece, making it apt for brittle, delicate, and complex materials. This research delved into the influence of operational parameters—pulse duration (Ton), peak current (Ip), duty cycle (T), and gap voltage (Vg)—on machining attributes, namely material removal rate (MRR), electrode wear rate (EWR), and radial overcut (ROC) for AISI D2 steel. Utilizing the Taguchi L9 orthogonal array for experimental design, nine experiments were conducted, followed by signal-to-noise ratio (S/N ratio) computations. Key findings highlighted a 4.02 dB improvement in the S/N ratio for MRR, leading to a 29.13% improvement; a 10.35 dB enhancement in the S/N ratio for EWR, resulting in a 33.33% reduction; and a 2.20 dB increase in the S/N ratio for ROC, leading to a 28.57% increment. ANOVA analyses further underscored the predominant influence of all four parameters. The significance of these findings lies in optimizing the EDM process for increased efficiency, reduced tool wear, and enhanced precision, potentially leading to cost savings and improved production quality in industrial applications.

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