Developments, challenges and future trends in advanced sustainable machining technologies for preparing array micro-holes

Y Liu, P Ouyang, Z Zhang, H Zhu, X Chen, Y Wang… - Nanoscale, 2024 - pubs.rsc.org
The use of array micro-holes is becoming increasingly prevalent across a range of
industries, including the aerospace, automotive, electronics, medical and chemical …

[HTML][HTML] Machine learning assisted prediction of solar to liquid fuel production: a case study

MW Shahzad, VH Nguyen, BB Xu, R Tariq… - Process Safety and …, 2024 - Elsevier
In this era of heightened environmental awareness, the global community faces the critical
challenge of climate change. Renewable energy (RE) emerges as a vital contender to …

[HTML][HTML] Machine learning-based process design of a novel sustainable cooling system

MA Jamil, WM Ashraf, N Imtiaz, BB Xu… - Energy Conversion and …, 2024 - Elsevier
An exponential rise in cooling requirements occurred in the last few years because of rising
global surface temperatures, population growth, faster urbanization, and income growth …

Circular usage of waste cooking oil towards green electrical discharge machining process with lower carbon emissions

K Ishfaq, M Sana, MU Waseem, S Anwar… - The International Journal …, 2024 - Springer
A global manufacturing community is dedicatedly striving to implement the concept of
NetZero in precision cutting of difficult-to-machine materials, specifically, Inconel 617 …

Parametric investigation of the effects of electrical discharge machining on plain D2 steel

A Hassan, RT Mushtaq, A Mashood Khan, S Anwar - Metals, 2023 - mdpi.com
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 …

Sustainable EDM production of micro-textured die-surfaces: Modeling and optimizing the process using machine learning techniques

R Mahanti, M Das - Measurement, 2025 - Elsevier
The present research explores the role of die-sinking EDM parameters, such as peak
current, pulse duration, and gap voltage, and their proper selection for the cost-effective …

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 …

[HTML][HTML] Towards circular economy of wasted printed circuit boards of mobile phones fuelled by machine learning and robust mathematical optimization framework

WM Ashraf, PR Jadhao, R Panda, KK Pant… - … Conservation & Recycling …, 2024 - Elsevier
Estimating the operating conditions using conventional process analysis techniques for the
maximum metal extraction from the wasted printed circuit boards (WPCB) can provide sub …

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 …

The Enhancement of Die Sink EDM Machining Efficiency Incorporating Micro-Flakes of Graphite Powder

H Marashi, CP Kai, AAD Sarhan, I Maher - Arabian Journal for Science and …, 2024 - Springer
The present article investigates the performance of powder-mixed die sink electrical
discharge machining (PMEDM) under the influence of micro-flakes graphite (Gr) powder …