One test to predict them all: Rheological characterization of complex fluids via artificial neural network DOI Creative Commons
Ases Akas Mishra, Viney Ghai,

Valentina Matović

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109598 - 109598

Published: Nov. 12, 2024

Language: Английский

Modeling of chemically reactive fluid dynamics with thermal effect and energy source through a magnetized medium DOI

Shazia Habib,

Saleem Nasir, Zeeshan Khan

et al.

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

Language: Английский

Citations

3

AI-powered computational analysis of dynamic responses in a vibrating Riga sensor within a reactive platinum -cerium oxide-water mixture DOI
Poly Karmakar, Sanatan Das

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: 381, P. 116028 - 116028

Published: Nov. 14, 2024

Language: Английский

Citations

12

AI-led study of dynamic changes in milk containing hybrid nanoparticles in an electromagnetically vibrated channel subjected to thermal oscillations and rapid pressure changes: Implications for dairy industry DOI
Sanatan Das, Poly Karmakar, Sayan Das

et al.

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

12

Physics-informed deep operator networks with stiffness-based loss functions for structural response prediction DOI Creative Commons
Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 144, P. 110097 - 110097

Published: Jan. 25, 2025

Language: Английский

Citations

1

Electroosmotic influence on fractional Jeffrey blood flow with nanolayer-coated tetra-hybrid nanoparticles in an electrified stenotic-aneurysm artery DOI
Asgar Ali, Sanatan Das

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 188, P. 109819 - 109819

Published: Feb. 16, 2025

Language: Английский

Citations

1

Exothermic reaction on non-Newtonian NEPCM over ellipses in a curved channel: Hybrid ISPH method and artificial intelligence DOI

Noura Alsedias,

Abdelraheem M. Aly, Nirmalendu Biswas

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 101, P. 113762 - 113762

Published: Sept. 24, 2024

Language: Английский

Citations

4

Performance evaluation of submerged FSW for aluminum 6061 employing AOA-ANN based on experimental data DOI

Ekta Shrivastava,

Pankaj Shrivastava, Pushpendra Singh

et al.

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 9, 2025

Submerged friction stir welding (SFSW) under water is a relatively new solid state joining process, which combines heating and mechanical work for deformation to achieve high quality, defect-free joints. In the present research aluminum-6061 alloy has been welded by using SFSW. Tool rotational speed, feed temperature taken as important control variables estimate joint performance in terms of hardness tensile strength. It was observed that average grain size obtained zone around 3.5 μm, maximum 87 HV strength 175 MPa. Predictive models artificial neural networks (ANNs) were developed both strength, followed process optimization utilizing four distinct evolutionary techniques: arithmetic algorithm (AOA), Jaya Rao-3 algorithm. Among these, AOA demonstrated superior within manufacturing environment. As compared experimental values AOA, show improvement 6.33% 0.35% respectively.

Language: Английский

Citations

0

Analysing Soret, Dufour, and activation energy effects on heat and mass transfer thin film flow of an MHD Williamson ternary hybrid nanofluid over a non-Darcy porous stretching surface DOI

Vishalkumar J. Prajapati,

Ramakanta Meher

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(2)

Published: March 1, 2025

Language: Английский

Citations

0

AI-enhanced prediction and analysis of heat and mass transfer in NEPCM-filled wavy star-shaped cavities under magnetic, radiative, and chemical influences DOI
Munirah Alotaibi,

Weaam Alhejaili,

Abdelraheem M. Aly

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101457 - 101457

Published: April 1, 2025

Language: Английский

Citations

0

Physical-based surrogate model and its application in 3D-1D fusion optimization of a marine two-stroke engine DOI
Han Xiao, Long Liu,

Qian Xia

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: 271, P. 126387 - 126387

Published: April 2, 2025

Language: Английский

Citations

0