Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)
Published: Nov. 27, 2024
Language: Английский
Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)
Published: Nov. 27, 2024
Language: Английский
Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 114015 - 114015
Published: Nov. 3, 2023
Language: Английский
Citations
32Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 106, P. 448 - 459
Published: Aug. 24, 2024
Language: Английский
Citations
13Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 24, P. 100807 - 100807
Published: Oct. 1, 2024
Language: Английский
Citations
12Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105281 - 105281
Published: Oct. 12, 2024
Language: Английский
Citations
10Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(3)
Published: Feb. 17, 2025
Language: Английский
Citations
1Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104563 - 104563
Published: May 29, 2024
The melting heat phenomenon in viscous nanofluid MHD flow over a stretching sheet with variable porosity and permeability was utilized. behavior of magneto-viscous scrutinized using the concepts machine learning statistics. Thermal stratification, source, activation energy solution tween-20 nanoparticles an ethyl-acetate base-type fluid are examined. Brownian thermophoretic phenomena included. Non-linear partial differential equations (PDEs) converted into non-linear ordinary (ODEs) via von Karman similarity variables. Dataset is generated by 4th-order Runge-Kutta numerical method for artificial neural network. ratio parameter enhance velocity outline, while thermal stratification reduce temperature outline. An increase concentration outline seen motion both system's performance metrics like regression analysis, mean squared error, error histograms evaluated. impact these factors on significant results, such as drag coefficient transfer rate, statistically investigated multiple linear regressions. integration statistical methods deemed crucial enhancing understanding complex dynamics magnetic flows.
Language: Английский
Citations
8Journal of Fluorescence, Journal Year: 2024, Volume and Issue: unknown
Published: June 18, 2024
Language: Английский
Citations
8Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 64, P. 105395 - 105395
Published: Oct. 31, 2024
Language: Английский
Citations
8Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18
Published: Feb. 15, 2024
An enclosure with thermal radiation is widely engaged in the current decade due to role of solar energy applications like photovoltaic panels, renewable power, light poles, oil recovery, vehicles, and pumps for water extraction. After getting motivated by these uses, scientific research designed address crisis issue capturing high-level performance solar-powered charging stations reveal implications conduction together influence on flow tetra hybrid nanofluid a porous medium. This recent physical advancement witnessed employing conservation laws mathematical representation nonlinear partial differential equations. The governed equations are turned into nondimensional ordinary making use ideally suited similarity variables cracked numerically. outcomes acquired specific scenario coincide findings retrieved from earlier literature order standardize deployed numerical approach. Moreover, measurement engineering concern forecasted through execution both multiple linear regression multi-layer perceptron concerning stations. exhibit that (Ag‐TiO2‐Cu‐Al2O3/EG) provides superior heat source than (SiO2‐TiO2‐Cu‐Al2O3/EG) over an expandable sheet power station. coefficient determination values models were developed estimate skin friction value case 1 as 94.74 99.21%, whereas 2 obtained 94.84 98.35%, respectively. It shows proposed model can forecast higher precision powerful tool be effectively employed tetra-hybrid nanofluid.
Language: Английский
Citations
7Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: 149(15), P. 8463 - 8474
Published: May 23, 2024
Language: Английский
Citations
7