[HTML][HTML] Enhancing high-speed EDM performance of hybrid aluminium matrix composite by genetic algorithm integrated neural network optimization

MA Ali, NA Mufti, M Sana, M Tlija, MU Farooq… - Journal of Materials …, 2024 - Elsevier
Hybrid aluminium matrix composites (HAMCs) are highly valued in manufacturing sectors
but are difficult to machine conventionally due to reinforcements' inherent hardness and …

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial …

F Gomes Souza Jr, S Bhansali, K Pal… - Materials, 2024 - mdpi.com
From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment
analysis of nanocomposite literature, distinguishing itself from existing reviews through its …

[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 …

Multi-objective optimization of an EDM process for Monel K-500 alloy using response surface methodology-multi-objective dragonfly algorithm

P Mandal, S Mondal, R Cep, RK Ghadai - Scientific Reports, 2024 - nature.com
Monel K-500 is a high-performance superalloy composed of nickel and copper, renowned
for its exceptional strength, hardness, and resistance to corrosion. To machine this material …

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 …

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 …

Sustainable machining of Inconel 718 using minimum quantity lubrication: Artificial intelligence-based process modelling

MU Farooq, R Kumar, A Khan, J Singh, S Anwar… - Heliyon, 2024 - cell.com
Governments and industries are developing aggressive policies to reduce carbon emissions
and shift from fossil fuels to renewable energy. On the other hand, industries struggle to …

Parametric analysis and multi-objective optimization for machining complex features on D2 and DC53 steels for tooling applications

S Hassan, M Asad, M Sana, MU Farooq… - Journal of Materials …, 2024 - Springer
Abstract Hardened AISI D2 and DC53 tool steel has widespread applications in the tool and
die-making industry. Conventional machining of D series tool steels is challenging due to …

[HTML][HTML] AISI D2 steel machining and manufacturing process optimization for tooling applications in biomedical industry

M Tlija, T Rashid, M Sana, MU Farooq, MI Ammarullah - AIP Advances, 2024 - pubs.aip.org
Tool steels such as AISI D2 are famous in the manufacturing industry because of their
engineering applications. The precise interplay of improved hardness and toughness makes …

Sustainability metrics targeted optimization and electric discharge process modelling by neural networks

M Sana, M Asad, MU Farooq, M Tlija, R Haber - Scientific Reports, 2025 - nature.com
Aluminium and its alloys, especially Al6061, have gathered significant interest among
researchers due to its less density, great durability, and high strength. Due to their …