[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 …

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 …

[HTML][HTML] Towards artificial intelligence empowered performance enhancement of EDM process using nano-graphene mixed bio-dielectric supporting the carbon …

K Ishfaq, M Asad, WM Ashraf, M Sana, S Anwar… - Journal of Cleaner …, 2024 - Elsevier
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 …

Understanding the Effects of Cutting Conditions on Vibrations, Surface Integrity, Machining Temperature and Tool Wear Mechanisms in End Milling of AISI D2 Steel

S Ehsan, MA Ali, SA Khan, M Sana, M Yasir… - Tribology …, 2024 - Elsevier
The study explores vibrations, and thermal and tool wear (TW) mechanisms during dry end
milling of AISI D2 steel employing two-, four-, and six-flute designs of TiAlN-PVD coated …