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 …

[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 …

An energy concisions analytical modelling approach with experimental verification for cutting performance assessment in EDM of Ti-based superalloy

K Ishfaq, M Sana, MA Mahmood, S Anwar - Physica Scripta, 2024 - iopscience.iop.org
Electric discharge machining (EDM) is a stochastic process which is commonly engaged for
cutting of Ti-based difficult-to-cut alloys. Experimental investigation in EDM is costly and …