National Institute of Technology Arunachal Pradesh (also known as NIT Arunachal Pradesh or NITAP) is a public technical and research institute near Itanagar, the capital of Arunachal Pradesh. NIT Arunachal Pradesh is one of the 31 National Institutes of Technology in India and is recognized as an Institute of National Importance. NIT Arunachal Pradesh started its functioning from 2010 in a temporary campus in Yupia, Arunachal Pradesh. The institute presently functions from its permanent Campus at Jote, Papum Pare district, Arunachal Pradesh.
The analysis of heat transfer plays a significant role in improving liquid cooling efficiency in cylindrical battery modules. On the basis of the above-mentioned fact, a natural convective magnetohydrodynamic two-dimensional flow of a hybrid nanofluid is examined past a permeable stretching surface with a applications in cooling cylindrical battery packs. A hybrid nanofluid model is developed using silver (Ag) and titanium oxide ( TiO_2 ) nanoparticles with a base fluid composed of ethylene glycol—water ( C_3H_8O - H_2O ) (50–50
This study investigated the structural, microstructural and microwave dielectric properties of Zn-doped Mg2TiO4 ceramics synthesized by high-energy ball milling (HEBM) technique. The X-ray diffraction patterns (XRD), coupled with Rietveld refinement, confirm the formation of single-phase Mg2TiO4 ceramics, and the lattice parameters were measured. Microstructural characterization was carried out using a field emission scanning electron microscope (FE-SEM). The relative density, dielectric constant, and Q × fo values increase gradually with increasing Zn2+ content up to 0.05; beyond this concentration, all three parameters decrease, indicating an optimal Zn2+ concentration of x = 0.05 for enhanced properties. A dense microstructure with a maximum relative density of approximately 98.2
In this paper, a normally off high-electron-mobility transistor (HEMT) incorporating a recessed p-GaN gate and a buried p-GaN region is proposed and investigated using Silvaco TCAD simulations. The two p-GaN regions located above and below the channel enhance the depletion of the two-dimensional electron gas (2DEG) in the channel, resulting in a threshold voltage (Vth) of 4.5 V. In the ON state, effective electrostatic modulation and improved gate control over the channel enable a drain current (Id) of 1 A/mm and transconductance (gm) of 443 mS/mm, demonstrating competitive performance compared to recently reported enhancement-mode (e-mode) HEMTs. The device exhibits a low ON-resistance (Ron) of 5.1 Ω.mm and a low sub-threshold swing (SS) of 78 mV/dec, indicating favorable performance for power electronics and radio-frequency (RF) switching applications. Moreover, the proposed HEMT employs a highly resistive buffer layer, which effectively reduces the leakage current components and improves the ON-OFF current ratio (Ion/Ioff). Overall, the proposed HEMT structure demonstrates an improved Vth–Id trade-off compared to several recently reported enhancement-mode HEMT designs.
The conversion of solar radiation into thermal energy has gained significant interest due to the rising demand for renewable energy. Tri-hybrid nanofluid (THNF) flow across curved Riga surfaces can enhance solar-thermal system efficiency in solar aircraft by improving heat transfer capabilities. In light of this importance, this study examines the THNF flow over a curved Riga surface with the impact of heat source and thermal radiation, focusing on enhancing thermal conductivity and thermal transfer efficiency. The enhancement is achieved by incorporating cobalt ferrite, cadmium telluride, and tantalum nanoparticles into a water-based fluid. The governing equations are transformed using appropriate similarity transformation procedures, and the 4th-order Runge–Kutta approach is introduced along with the shooting method to determine the unknown initial condition for solving the system of equations. A novel aspect of this research is the enhancement of rate coefficients, which is achieved through neural network-driven regression modeling, utilizing the Levenberg–Marquardt optimization technique. The findings reveal that the revised Hartmann number significantly increases the velocity distribution, while curvature parameters have an opposing effect on the temperature profile. For the tri-hybrid nanofluid case, the heat transfer rate is enhanced by approximately 33
Nanoparticles have been shown to have a wide range of real-world applications, including solar thermal systems, automotive cooling systems, and thermal energy storage. This work examines the two-dimensional nanofluid flow past a stretching cylinder, incorporating a magnetic field and Cattaneo–Christov heat flux. The significance of Xue and Hamilton–Crosser thermal conductivity models also was considered. Appropriate similarity transformations are utilized to convert the governing equations into a non-dimensional form, which are then solved numerically using the fourth-order Runge–Kutta–Fehlberg method in conjunction with the shooting technique. The prime objective of the proposed study is to optimize the heat transport rate by regression investigation with artificial neural networks, employing the Levenberg–Marquardt algorithm with appropriately structured training, testing, and validation datasets. Flow profiles and the numerical values of the rate constants are displayed in a tabular form, while the behaviour of several parameters within their range is shown via graphs. At epoch 123, the model attained optimal validation for the Hamilton model with a mean-squared error ( MSE) of 1.0921× 10^-10 . In contrast, the sophisticated architecture of the Xue models is evident, as it achieved a lower MSE of 1.4117×10^-09 at epoch 371.
