Experimental modeling techniques in electrical discharge machining (EDM): A review

MM Hasan, T Saleh, A Sophian, MA Rahman… - … International Journal of …, 2023 - Springer
Electrical discharge machining (EDM) is a widely used non-conventional machining
technique in manufacturing industries, capable of accurately machining electrically …

Optimization design for die-sinking EDM process parameters employing effective intelligent method

VT Tran, MH Le, MT Vo, QT Le, VH Hoang… - Cogent …, 2023 - Taylor & Francis
Electrical discharge machining (EDM) is a highly regarded method for producing ultra-
precise mechanical parts. In this study, the process parameters of die-sinking EDM using …

A systematic study to achieve cleaner and sustainable manufacturing process by using bio-degradable dielectrics

K Ishfaq, N Ahmad, MA Maqsood, MU Hameed… - Sustainable Materials …, 2023 - Elsevier
Inconel 600 is widely used in aeronautical and aerospace industry owing to its excellent
mechanical, wear and corrosion characteristics. This high strength alloy requires a special …

[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 shaping and cutting tool steel. EDM's
precision in machining difficult materials and tool steel characteristics are well known. EDM …

Development of artificial intelligence‐based neural network prediction model for responses of additive manufactured polylactic acid parts

J Singh, KK Goyal, R Kumar, V Gupta - Polymer Composites, 2022 - Wiley Online Library
Fused deposition modeling (FDM) is one of the most economical and popular technology
amongst numerous additive manufacturing techniques. The quality of FDM fabricated parts …

Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels

A Cetin, G Atali, C Erden, SS Ozkan - Advanced Engineering Informatics, 2024 - Elsevier
In manufacturing, predicting and reducing electro-erosion wear during the electric discharge
machining (EDM) process is critical to minimize delays, financial losses and product defects …

Multi objective optimization of parameters in EDM of Mirrax steel

B Erman, ALİ Kalyon - Materials and Manufacturing Processes, 2023 - Taylor & Francis
Accompanying the technological development and the advancement in the industry, the
demand for materials with superior properties such as high strength, hardness and …

Modeling and optimization of WEDM of monel 400 alloy using ANFIS and snake optimizer: A comparative study

T Jithendra, S Sharief Basha, R Das… - Proceedings of the …, 2024 - journals.sagepub.com
The exploration of the prediction of wired electro-discharge machining parameters is
becoming progressively more crucial in order to choose the ideal parameters for making …

[HTML][HTML] Enhanced prediction of corrosion rates of pipeline steels using simulated annealing-optimized ANFIS models

AH Khalaf, B Lin, AN Abdalla, Z Han, Y Xiao… - Results in Engineering, 2024 - Elsevier
Accurate prediction of corrosion rates is crucial for preventing infrastructure failures,
reducing maintenance costs, and ensuring operational safety. Traditional models often …

Artificial neural networks-based modelling of effects of cryogenic electrode treatment, nano-powder, and surfactant-mixed dielectrics on wear performance and …

M Sana, A Khan, MU Farooq, S Anwar - Journal of the Brazilian Society of …, 2024 - Springer
In the present era dominated by Industry 4.0, the digital transformation and intelligent
management of industrial systems is significantly important to enhance efficiency, quality …