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The insulation material provides reduces the heat loss or gain into the structures. Several insulation materials are used to attain the desired comfort conditions. In this proposed work, insulation materials namely rock wool, Fiber Glass and Polyurethane foam (PUF) are used in sequence. The solar thermal system receives heat energy which is used to produce cold or hot water through Phase Change Materials (PCM) by utilizing its latent heat. The temperature distribution through various layers and materials are predicted by means of ANSYS Fluent simulation. Also, the temperature variation due to seasonal changes for various insulation materials are computed. It is concluded that PUF insulation provides better performance compared to other materials. [ABSTRACT FROM AUTHOR]

Modern Unmanned Aerial Vehicle (UAV) technology relies heavily on propellers to generate thrust by pushing air with rotating blades. At present, propellers play a critical role in the development of contemporary UAVs. The structural behavior of a propeller and its rotodynamic effects can be analyzed with modern engineering methods to improve the propeller's efficiency and durability under demanding circumstances. Carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) composites are commonly used for blades due to their superior stress resistance, low weight, and high manufacturing rates. Propellers built from various composite materials, such as CFRP and GFRP, are compared for structural qualities of deformation related to applied different aerodynamic loads, maximum equivalent stresses and normal stresses through complex simulations under loading conditions such as 4.7 m/s of air speed with 2300, & 34040 RPMs. Research on rotor components for high-tech UAVs has yielded the best possible performance and lifespan for rotor components. FSI (Fluid-Structure Interaction) and CFD-MRF coupling are used to optimize UAV blade materials (Computational Fluid Dynamics-Moving Reference Frame). [ABSTRACT FROM AUTHOR]

This work deals the comprehensive computational investigations on various lightweight materials under lower thermal load (1 Kelvin) by using advanced coupled engineering approach. The proposed primary application of this work is various aerospace domains such as low thermal surveillance based unmanned aerial vehicles and its components. Since this work focuses base work, the ASTM C1470-20 based computational models are developed. The advanced composite platform (ANSYS ACP 17.2) is imposed in this work and so the pure computational composites are prepared. Additionally, lower thermal analysis is carried out on the developed model through ANSYS Fluent 17.2. The predicted thermal aerodynamic loads are imposed on the prepared computational composites. The structural result shows that CFRP-Woven-Wet is good to withstand perfectly at lower thermal environments based real-time applications. [ABSTRACT FROM AUTHOR]

The main focus of this work is high thermal loading parts of aircraft and the aim is to choose relevant lightweight material for the aircraft under acting higher thermal loads. For this focused study, the lightweight alloys and polymer matrix composites (PMC) are major platforms. Fibres are the major load-bearing elements in PMCs so best fibers (carbon and glass fibers) are picked for this comprehensive computational investigation. The computational model of this work is taken from the dimensions of shield plate located between engine and pilot in propeller driven low altitude aircraft. Since the working high thermal condition is tough, an advanced Fluid-Thermal Interaction (FTI) based computations are carried out. In FTI, the CFD simulations are completed in ANSYS Fluent 17.2 with 1000 Kelvin input and thermal expansions are carried ANSYS thermal tool 17.2. Totally, eight different advanced lightweight materials are imposed in these comprehensive investigations and thereby found out CFRP-Woven-Wet as best material. The thermal stress and thermal expansions are comparatively developed in less in CFRP-Woven-Wet so this is gppd material for higer thermal withstand. [ABSTRACT FROM AUTHOR]

To protect the human body from extreme climatic conditions such as cold and hot environments, thermal jackets are used. In this study, thermal jacket with various material such as nylon, cotton , combination of nylon and cotton and polypropylene are considered for the simulation analysis to predict the temperature distribution from the skin surface to the jacket layer. The problem domain is composed of arms and chest which are modelled using Finite Element Method (FEM) and meshed into nodes and elements. Further , meshed geometry is analysed using Ansys software to predict the temperature distribution along the skin and jacket layer. It is found that combination of cotton and nylon yields better performance compared to other materials for both hot and cold environments. [ABSTRACT FROM AUTHOR]

In this work, experimental study of graphene nanoparticles in the base fluid as ethylene glycol/distilled water for multichannel flow has been carried out. The graphene with varied concetration were suspended in the base fluid. The heating elements were used to vary the required fluid inlet temperature of the channel using controller.The experiment was conducted with different flow rates from 1.74 LPM to 3.02 LPM for various positions of the valve. The Nusselt number increased by 5.46% at 400C and 9.71% at 500C respectively. The enhanced heat transfer is due to more surface area and better conductivity of graphene nanoparticle. The outcome of the work will be useful to choose appropriate coolant to radiators of automotive applications. [ABSTRACT FROM AUTHOR]

Performance of Graphite and Al2O3 nanofluids mixed in the base fluid - Ethylene Glycol: Water (60:40) as radiator working fluid in a three-dimensional flat-tube taken from Chrysler minivan is compared through computational analysis. Properties are calculated from mathematical correlations developed from experiments on nanofluids and used for numerical analysis. The model is validated for average heat transfer coefficient and Nusselt number under Laminar regime for Reynolds number 1000, 1500, and 2000 using Al2O3 for 1% and 10% concentrations with the result in the available literature. Then, the average heat transfer coefficient and average Nusselt number of Al2O3 and Graphite are compared for 1% and 10% volumetric concentrations, and the results are presented. The average heat transfer coefficient of Graphite is higher than Al2O3 with a percentage increase of 3.29% for 1% concentration and 5.17% for 10% concentration. [ABSTRACT FROM AUTHOR]

In this study, the effect of graphene nanoparticles suspension in the base fluid as distilled water/ethylene glycol for an automobile radiator has been studied by using Computational modeling techniques. The graphene concentration of 0.1%, 0.2% and 0.3% were suspended in the base fluid. Electrical heaters varied the fluid inlet temperature of the radiator with the PID controller at 40°C and 50°C. The experiment is performed by varying the inlet temperature as 45°C, 55°C for some fixed flow rate as 2.59LPM, 2.47LPM.It was observed that by increasing the volume concentration of graphene nanoparticle in the base fluid, the nusselt number increased by 7.25 % at 45°C and 9.99% at 55°C inlet temperatures respectively. The increase of nusselt number was due to the increase in contact surface for heat dissipation and higher thermal conductivity of graphene nanoparticles CFD analysis of the radiator tube was performed by ANSYS fluent, and the results were validated with the experimental results. [ABSTRACT FROM AUTHOR]

In this analysis work, the ring frame of Pneumafil casing blower of the textile mills with a power rating of 5 kW have been simulated using Computational Fluid Dynamics (CFD) code. The CFD analysis of the blower is carried out in Ansys Workbench 16.2 with Fluent using MRF solver settings. The simulation settings and boundary conditions are based on literature study and field data acquired. The main objective of this work is to reduce the energy consumption of the blower. The flow analysis indicated that the power consumption is influenced by the deflector plate orientation and deflector plate strip situated at the outlet casing of the blower. The energy losses occurred in the blower is due to the recirculation zones formed around the deflector plate strip. The deflector plate orientation is changed and optimized to reduce the energy consumption. The proposed optimized model is based on the simulation results which had relatively lesser power consumption than the existing and other cases. The energy losses in the Pneumafil casing blower are reduced through CFD analysis. [ABSTRACT FROM AUTHOR]