[HTML][HTML] Machinability of different cutting tool materials for electric discharge machining: A review and future prospects

MS Tufail, J Giri, E Makki, T Sathish, R Chadge… - AIP Advances, 2024 - pubs.aip.org
Electric Discharge Machining (EDM) is essential for sha** and cutting tool steel. EDM's
precision in machining difficult materials and tool steel characteristics are well known. EDM …

Development of optimized ensemble machine learning-based prediction models for wire electrical discharge machining processes

B Sarker, S Chakraborty, R Čep, K Kalita - Scientific Reports, 2024 - nature.com
This paper proposes development of optimized heterogeneous ensemble models for
prediction of responses based on given sets of input parameters for wire electrical discharge …

Application of ANFIS approach for prediction of performance measures in wire electric discharge machining of SAE 1010

P Thejasree, N Manikandan, N Sunheriya, J Giri… - Interactions, 2024 - Springer
Due to its exceptional quality, SAE 1010 is highly recommended for automotive applications,
particularly in the manufacturing of headed fasteners and bolts. The primary application of …

Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications

P Thejasree, N Manikandan… - IET Collaborative …, 2024 - Wiley Online Library
Superalloys, particularly nickel alloys such as Inconel 625, are increasingly used in
biomedical engineering for manufacturing critical components such as implants and surgical …

Optimisation of HIPS material in fusion deposition modelling using the Taguchi-Grey approach

P Thejasree, N Manikandan, NR Prabha… - International Journal on …, 2024 - Springer
Abstract Additive Manufacturing (AM), specifically Fused Deposition Modelling (FDM), has
become a highly promising method for creating intricate shapes using different materials …

[HTML][HTML] An investigation into cut surface quality of Al6061/Al2O3/B4C composite using hydro-abrasive machining process

A Muthulakshmanan, R Adalarasan… - AIP Advances, 2024 - pubs.aip.org
The modern era has realized the tremendous potential of metal matrix composites (MMCs)
in slowly substituting the traditional materials used in automotive and aerospace industries …

Prediction and analysis of material removal rate and Tool wear for electric discharge machining of H16 material using ANN and ANOVA

R Adakane, PV Washimkar, SS Chaudhari, J Giri… - Interactions, 2024 - Springer
This study used an artificial neural network to forecast the rate of material removal and tool
wear for H16 H-group tool steels, which are designed to retain hardness and strength under …

Overhauling the precision of soil sogginess estimation in IoT based K-means clustering algorithm based water framework structure over evapotranspiration method

C Jagadeesh, S Radhika - AIP Conference Proceedings, 2024 - pubs.aip.org
The k-means algorithm's clustering effect is largely affected by two main parameters: the
choice of the initial clustering centre and the distance measurement between the sample …

Comparative evaluation of CNC milling of novel hybrid Al7075-Mg-SiC-FA and Al6061-SiC-Mg metal matrix composites for machining time reduction

K Bharath, A Bejaxhin - AIP Conference Proceedings, 2024 - pubs.aip.org
To establish the optimal feed and spindle speeds for effective milling of milled slots in sand-
cast Al7075 hybrid metal matrix composites with a 15 percent weight fraction of SiC+ Mg, the …

Development of ANFIS Predictive Model for Wire Electrical Discharge Machining of Cupronickel Material

T Pasupuleti, M Natarajan, J Kiruthika, LN Katta… - 2024 - sae.org
Abstract Wire Electrical Discharge Machining (WEDM) is an essential manufacturing
process used to shape complex geometries in conductive materials such as cupronickel …