National Institute of Technology Agartala (NIT Agartala or NITA) is a technology-oriented institute of higher education established by India's Ministry of Human Resource Development Government of India in Agartala, India. It was founded as Tripura Engineering College in 1965 and declared a National Institute of Technology (NIT) in 2006, thus being recognized as an Institute of National Importance.The Institute was established in 1965 as Tripura Engineering College, with the branches of civil, electrical, and mechanical engineering. It was initially affiliated with Calcutta University and had the same curriculum structure and examination system as Bengal Engineering College (currently IIEST Shibpur).After the establishment of Tripura University in 1987, the Institute was affiliated with it. Courses toward a degree in computer science and engineering were offered beginning in the 1999 – 2000 session, and three new degrees were offered beginning in the 2005 – 2006 session: Electrical & Electronics, Production and Transportation Engineering.On 23 February 2006, the Union Cabinet approved the proposal of the state government for the conversion of Tripura Engineering College to the National Institute of Technology..
A numerical investigation was conducted to analyze flow attributes and suspended sediment, within and around both emergent and submerged vegetation, employing a two-dimensional (2D) model. In this model, vegetation was represented as an absorbent region to consider the drag and flow resistance induced by plant structures. The simulation model was validated against experimental data obtained by Lu (Experimental study on suspended sediment distribution in flow with rigid vegetation, 2008), confirming its reliability and precision. The research examines key flow attributes and spatial distribution patterns of suspended sediments within sediment-laden vegetated flows, considering a range of hydraulic conditions. By comparing emergent and submerged vegetation scenarios, the study provides insights into how vegetation and flow regime influence sediment suspension, transport mechanisms, and associated flow structures. Furthermore, detailed analyses were performed to explore the correlations among key variables influencing suspended sediment dispersal, covering flow velocity, vorticity, and turbulent kinetic energy (TKE) fields. It was observed that the TKE field beyond the canopy demonstrated a positive relationship with sediment concentration, while near the bed; TKE field was almost associated with the spatial distribution of suspended grains. In the present study, under conditions of low flow blockage, sediment deposition in the wake zone extended over a considerable distance downstream. However, when the flow blockage was sufficiently large to generate a vortex street, improved sediment deposition was concentrated in two distinct areas: nearly downstream of the vegetation canopy and in the recirculation area. The spanwise distribution of particles is characterized using a probability density function (PDF), which reveals temporal irregularity in the particle field, quantified by the variance of the PDF.
This study focuses on performing a dynamic explicit nonlinear finite element simulation to analyze the temperature, residual stress, and strain distribution during the friction stir welding (FSW) process of zirconium (Zr) nanoparticle-reinforced AA2024-T3 (Zr-AA2024-T3) aluminum alloy. The computational modeling of Zr-reinforced FSW (rFSW) process is performed using ABAQUS explicit software. To ensure the development of a reliable and computationally efficient finite element (FE) model, key features such as the arbitrary Lagrangian–Eulerian (ALE) formulation, adaptive meshing, mesh sensitivity analysis, and mass scaling are integrated. The interaction between the tool bottom surface and the plate upper surface is defined using a finite sliding property. The tool–workpiece contact is modeled with a Coulomb friction model that incorporates a temperature-dependent friction coefficient. Additionally, an experimental study is conducted to validate the results obtained numerically. The results demonstrate similar temperature profiles generated across the workpiece, with slightly higher temperatures observed on the advancing side. The mechanical response of the AA2024-T3 aluminum alloy plates is also investigated. A temperature rise of around 20 °C relative to conventional FSW of AA2024-T3 plates is observed in rFSW process. Thermal stresses in Zr-reinforced AA2024-T3 joints show a 38
The present work proposes a new intelligent framework that integrates ANN with GA and NSGA-II for the predictive modelling and optimization of FDM process. The ANN model is established to develop predictive model between process variables, including layer thickness (LT), nozzle temperature (NT), infill density (ID), and travel speed (TS), and mechanical properties such as tensile, compressive, and flexural strength, achieving a mean absolute error of less than 6
This study investigates the dry electro-discharge coating (DEDC) process on Al6061 alloy using a copper-graphene green compact electrode in an argon dielectric medium. The process parameters considered include discharge current (Ip) ranging from 4 to 10 A, pulse-on time (Ton) ranging from 50 to 200 µs, and compaction load for electrode fabrication ranging from 5 to 20 ton, composition Cu:Gr. Gray relational analysis (GRA) was employed to optimize the process parameters, aiming to enhance MDR, minimize tool wear rate (TWR), and achieve improved surface roughness (SR) and microhardness (HV). The results indicate that discharge current has the most substantial influence on MDR and SR, while compaction load predominantly affects TWR. The optimal process parameters identified through gray relational analysis (GRA) are a discharge current of 8 A, a pulse-on time of 150 µs, and a compaction load 20 ton. Under these conditions, MDR improved by 12.5
In this study, sustainable natural rubber (NR) composites reinforced with biocarbon and biosilica derived from Eleusine coracana straw waste were developed to explore eco-friendly alternatives to conventional petroleum-based fillers. Biocarbon and biosilica were incorporated individually and in hybrid form, and their effects on the mechanical, tribological, and thermal properties of NR were systematically evaluated. Hybrid biocarbon–biosilica composites exhibited a pronounced synergistic reinforcement effect compared to biosilica-only systems. The best formulation containing 10 phr biocarbon and 1.5 phr biosilica achieved superior performance, with a tensile strength of 40 MPa, tear strength of 56 N mm-1, hardness of 66 Shore A, and a controlled reduction in elongation at break. Tribological analysis revealed a significant improvement in wear resistance, with the specific wear rate reduced by 55
