Circular usage of waste cooking oil towards green electrical discharge machining process with lower carbon emissions
A global manufacturing community is dedicatedly striving to implement the concept of
NetZero in precision cutting of difficult-to-machine materials, specifically, Inconel 617 …
NetZero in precision cutting of difficult-to-machine materials, specifically, Inconel 617 …
Experimental Investigations of Using Aluminum Oxide (Al2O3) and Nano-Graphene Powder in the Electrical Discharge Machining of Titanium Alloy
In the present study, a comprehensive parametric analysis was carried out using the
electrical discharge machining of Ti6Al4V, using pulse-on time, current, and pulse-off time …
electrical discharge machining of Ti6Al4V, using pulse-on time, current, and pulse-off time …
Mathematical modeling and experimental evaluation of superalloy EDM using cryogenically treated electrodes and transformer oil-based dielectrics: a correlation …
K Ishfaq, M Sana, MU Waseem, MA Mahmood… - … International Journal of …, 2023 - Springer
Geometrical inaccuracy is one of the electric discharge machining (EDM) errors and is
mainly influenced by the dielectric being used during the operation. The non-conventional …
mainly influenced by the dielectric being used during the operation. The non-conventional …
[HTML][HTML] Towards artificial intelligence empowered performance enhancement of EDM process using nano-graphene mixed bio-dielectric supporting the carbon …
The growing population with every passing day sets an alarming situation with respect to the
conservation climate protocols. The increasing needs of society also demand a significant …
conservation climate protocols. The increasing needs of society also demand a significant …
Comparative investigation of novel dielectrics against cryogenically refined electrodes for modelling and optimizing EDM cutting proficiency using artificial neural …
K Ishfaq, M Sana, MU Waseem, MA Mahmood… - … International Journal of …, 2024 - Springer
Abstract Superalloys, specifically Inconel 617 (IN617), have distinctive properties, yet it is
extremely hard to machine through traditional processes. Electric discharge machining …
extremely hard to machine through traditional processes. Electric discharge machining …
Genetic Algorithm-Based Optimization of Artificial Neural Network of Process Parameters and Characterization of Machining Errors in Graphene Mixed Dielectric
MA Hurairah, M Sana, MU Farooq, S Anwar - Arabian Journal for Science …, 2024 - Springer
The increasing demands for precision and efficiency in machining processes, driven by
advancements in aerospace, biomedical, and automotive industries, have led to a growing …
advancements in aerospace, biomedical, and automotive industries, have led to a growing …
Modelling Micro-Edm Operations with Machining Uncertainties: An Integrated Approach Using Artificial Neural Networks and Model Ensembling
Abstract In modern manufacturing, Micro–Electrical Discharge Machining (µEDM) demands
unparalleled precision, quality, and expedited production. Achieving optimal outcomes in …
unparalleled precision, quality, and expedited production. Achieving optimal outcomes in …