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Comparative Study of Nusselt Number Correlations for Hitec Molten Salt

Molten salt has been realized as a potential candidate as a clean non-pollutant heat transfer fluid for concentrated solar power plants because of its high heat capacity and broad ranges of operational temperatures. In this study, the Nusselt number of the commercially known Hitec molten salt is numerically assessed, using k-ϵ model turbulence model with non-equilibrium wall functions, for the ranges of 104-105 Reynolds number and 104-105 W/m2 uniform surface heat flux. Moreover, the present work is compared against previously published work with success. The proposed numerical model provides

Mechanical Design

Efficient Finite Element Modeling of Complex HVAC Applications

A new Finite element model for HVAC applications is introduced. The model incorporates flow turbulence, buoyancy effects and unsteadiness. Also, the model accommodates complicated boundaries due to complex geometries and perforated tiles. Experimental validation is provided and extensive results for flow and temperature contours are presented. Temporal and spatial resolution prove that the model can capture important HVAC features as thermal comfort, buoyancy induced flow, complex boundaries. © 2020 IEEE.

Mechanical Design

Stabilized variational formulation of an oldroyd-B fluid flow equations on a Graphic Processing Unit (GPU) architecture

The governing equations of the flow of an oldroyd-B fluid are discretized using the finite element method. To overcome the convective nature of the momentum equation, the Galerkin/Least-Squares Finite Element Method (GLS/FEM) is used while the Discrete Elastic–Viscous Stress-Splitting (DEVSS) method is used to overcome the instability due to the absence of diffusion in the constitutive equations. The discretized equations are implemented on a hybrid system between the Graphics Processing Unit (GPU) architecture using Compute-Unified-Device-Architecture (CUDA) and a multi-core CPU. The

Mechanical Design

Prediction of the Hitec Molten Salt Convective Heat Transfer Performance Using Artificial Neural Networks

Hitec molten salt is a ternary eutectic mixture salt that is used as an energy storage medium in concentrated solar power plants to improve the system performance and reduce the operational cost. Thus, the heat transfer performance represented in Nusselt number has been investigated numerically under different inlet temperature and velocity conditions with constant uniform side heat flux. Also, friction factor and mass flow rate are studied numerically. CFD input/output data with 40 studied cases are used as a training dataset of a 2-layer Neural Network for thermo-hydro fields’ accelerated

Mechanical Design

Prediction of Internal Flow's Characteristics around Two Cylinders in Tandem using optimal T-S fuzzy

Laminar unsteady incompressible flow past two-cylinders in tandem is investigated numerically. The vortex shedding over the cylinders' arrangement is studied at various Reynolds numbers and blockage ratios while changing the distance between the two cylinders. The output from the numerical simulations is used to feed different regression methodologies to find the optimal approach for the proposed system modeling and identification. Artificial Neural Network (ANN) using Levenberg-Marquardt Algorithm (LM) training algorithm is used, as well as Takagi-Sugeno (T-S) fuzzy model are used and

Mechanical Design

A logarithmic formulation for anisotropic behavior characterization of bovine cortical bone tissue in long bones undergoing uniaxial compression at different speeds

The mechanical properties of bone tissues change significantly within the bone body, since it is considered as a heterogeneous material. The characterization of bone mechanical properties is necessary for many studies, such as in prosthesis design. An experimental uniaxial compression study is carried out in this work on bovine cortical bone tissue in long bones (femur and tibia) at several speeds to characterize its anisotropic behavior. Several samples from different regions are taken, and the result selection is carried out considering the worst situations and failure modes. When

Mechanical Design

Enhanced Arnold's Cat Map-AES Encryption Technique for Medical Images

Human's health information is considered momentous information, which is represented in medical systems. The amount of medical image information available for analysis is increasing with the modern medical image devices and biomedical image processing techniques. To prevent data modification from unauthorized persons from an insecure network, medical images should be encrypted efficiently. In this paper, a novel chaotic-based medical image encryption technique is proposed. This technique uses first a Butterworth High Pass Filter (BHPF) to enhance the medical image's details to avoid any

Mechanical Design

A Hybrid Deep Learning Based Autonomous Vehicle Navigation and Obstacles Avoidance

Technological revolution has reached all life activities starting from day planning reaching communication, entertainment, industry, and transportation. Each of previously mentioned categories get improved in a way making human life easier and safer. In the use of automatic control, several researches focused on automating vehicles’ systems to make driving easier and safer. The availability of autonomous vehicles will avoid accidents caused by taking a late decision or lack of driving experience in such situation. Approaching autonomous driving, an autonomous vehicle must be able to respond to

Mechanical Design

FCM-based approach for locating visible videowatermarks

The increased usage demand for digital multimedia has induced significant challenges regarding copyright protection, which is the copy control and proof of ownership. Digital watermarking serves as a solution to these kinds of problems. Among different types of digital watermarking, visible watermarking protects the copyrights effectively, since the approach not only prevents pirates but also visually proves the copyright of the broadcasted video. A visible watermark could be in any location on the frame (corner, center, diagonal, etc.). In addition, it could either completely or partially

Artificial Intelligence
Software and Communications
Mechanical Design

Experimental Kinematic Modeling of 6-DOF Serial Manipulator Using Hybrid Deep Learning

According to its significance, robotics is always an area of interest for research and further development. While robots have varying types, design and sizes, the six degrees of freedom (DOF) serial manipulator is a famous robotic arm that has a vast areas of applications, not only in industrial application, but also in other fields such as medical and exploration applications. Accordingly, control and optimization of such robotic arm is crucial and needed. In this paper, different analyses are done on the chosen design of robotic arm. Forward kinematics are calculated and validated, then

Artificial Intelligence
Software and Communications
Mechanical Design