- Mechanical Engineering and Vibrations Research
- Heat Transfer and Optimization
- Heat Transfer Mechanisms
- Gear and Bearing Dynamics Analysis
- Tribology and Lubrication Engineering
- Tribology and Wear Analysis
- Fluid Dynamics and Turbulent Flows
- Lubricants and Their Additives
- biodegradable polymer synthesis and properties
- Additive Manufacturing and 3D Printing Technologies
- Solar Thermal and Photovoltaic Systems
- Nanofluid Flow and Heat Transfer
- Mechanical Failure Analysis and Simulation
- Bone Tissue Engineering Materials
- Advanced Machining and Optimization Techniques
- Manufacturing Process and Optimization
- Advanced machining processes and optimization
- Mechanical stress and fatigue analysis
- Digital Transformation in Industry
- Orthopaedic implants and arthroplasty
- Structural Engineering and Vibration Analysis
- Flow Measurement and Analysis
- Vibration and Dynamic Analysis
- Advanced Sensor Technologies Research
- Engineering Applied Research
Gurukul Kangri Vishwavidyalaya
2022-2025
Institute of Engineering
2022-2024
International Institute of Information Technology Bangalore
2024
Sam Higginbottom Institute of Agriculture
2024
National Council Of Educational Research And Training
2024
Jain University
2024
Vivekananda Global University
2024
Sharda University
2024
Indian Institute of Technology Roorkee
2023
Birla Institute of Technology and Science - Hyderabad Campus
2022-2023
Recent advancements in green building technologies (GBTs) have grown substantially, as an outcome of the environmental, economic and societal benefits. It has potential to move toward sustainable development, specifically related climate change. In GBTs, main objective is use energy, water other resources a balanced way, without using them extensively. This will improve environmental conditions. Green buildings (GBs) are beneficial when it comes energy consumption emissions; low maintenance...
The International Scientific Research Organization for Science, Engineering and Technology (ISROSET) is a Non-Profit Organization; ISROSET dedicated to improvement in academic sectors of Science (Chemistry, Bio-chemistry, Zoology, Botany, Biotechnology, Pharmaceutical Bioscience, Bioinformatics, Biometrics, Biostatistics, Microbiology, Environmental Management, Medical Forensic Home Library Material Military Physical Education Educational Fisheries, seed technology, Agriculture, Forestry...
Thermo-hydraulic performance of a Double Pass Parallel Flow Solar Air Heater (DPPFSAH) roughened with perforated multi-V ribs has been studied experimentally in prior study and the effect variation open area ratio change relative roughness width analysed reported. The current work builds upon aforementioned earlier by discussing detail methodology various steps involved development correlation for variable parameters Nusselt number friction factor DPPFSAH. outcomes show that perforations...
The effect of variation in open area ratio (β) a multi-V rib roughened Single-Pass Solar Air Heater (SPSAH) is analyzed this work. Fixing values other parameters, such as and relative roughness width (W/w), were studied with certain range Reynolds number (Re) ranging from 2000 to 18000. improvement Nusselt (Nu/Nus) thermo-hydraulic performance (THPP) the decline duct friction (f/fs) support application perforation. empirical correlations Nu f are also generated ±12% ±7.5% accuracy.
Abstract The thermohydraulic performance (THP) of a solar air heater (SAH) duct with staggered D‐shaped ribs as roughness geometry is examined in this work using three‐dimensional numerical investigation. investigation carried out at parameters radius rib to transverse pitch ( r / P tv ) ratios 0.1–0.35 and longitudinal lg 4–10 under varied operating circumstances Reynolds number Re from 10,200 20,200. maximum Nusselt Nu obtained be 81.3 20,200, 0.1, 4. In contrast, the friction factor f...
To investigate the influencing range and optimize values of different operational system parameters on double-pass parallel flow solar air heater’s (DPPFSAH) thermal, effective, exergetic efficiencies, an iterative method was used to analyze governing energy equations using a theoretical model written in MATLAB based Nusselt number (Nu) friction factor (f) correlations developed work performed earlier. A comparison between single-pass SAHs for mathematical experimental outcomes conducted,...
Boiling is considered an important mode of heat transfer (HT) enhancement and has several industrial cooling applications. the potential to minimize energy losses from HT devices, compared with other convection or conduction modes enhancement. The purpose this review article was analyze, discuss, compare existing research on boiling techniques last few decades. We sought understand effect nucleation sites plain curved surfaces enhancement, suggest future guidelines for researchers consider....
Energy consumption in India is massive, and even the quantity used for household tasks substantial. The majority of requirement satisfied by using fossil fuels, which are traditional methods. Heating water most frequent home application. Accordingly, this article examines studies from previous ten years. information demonstrates that renewable energy greatest way to cut back on both use fuels carbon emissions while heating residential use. Solar, hydroelectric, wind, biofuels significant...
Abstract This paper presents an analysis of viscous fluids and a Rivlin–Ericksen (R‐E) viscoelastic fluid interface under the influence heat mass transfer, while both are exposed to axial electric field. The restricted within annular region that is enclosed by two rigid cylinders. outer section holds R‐E fluid, inner filled with fluid. To ascertain correlation between perturbation growth wavenumber, theory potential flow on viscoelastic–viscous applied, result represented as second‐order...
The engineers have been utilising artificial neural networks (ANNs), one of the most effective and adaptable tools offered by intelligence, for many years in a variety applications. A simple mathematical model brain functions is provided ANNs, which are computational tools. They can be used tasks like modelling, categorisation, prediction when combined with raw data learning system. recently experienced sharp increase popularity currently among important study topics disciplines intelligence...