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Comparative Studies of Using Nano Zerovalent Iron, Activated Carbon, and Green Synthesized Nano Zerovalent Iron for Textile Wastewater Color Removal Using Artificial Intelligence, Regression Analysis, Adsorption Isotherm, and Kinetic Studies

Daily, a big extent of colored, partially treated textile effluents drained into the sanitation systems causing serious environmental concerns. Therefore, the decolorization treatment process of wastewater is crucial to improve effluent quality. In the present study, 3 different sorbent materials, nano zerovalent iron (nZVI), activated carbon (AC), and green-synthesized nano zerovalent iron (GT

Artificial Intelligence
Energy and Water

Tuning of PID Controller Using Particle Swarm Optimization for Cross Flow Heat Exchanger Based on CFD System Identification

This paper illustrates the design of proportional–integral–derivative controller (PID) controller of 10 KW air heaters for achieving the set point temperature as fast as possible with minimum response overshoot. Computational fluid dynamic (CFD) numerical simulations are utilized to predict the natural response of 10 KW input power for the air heater. CFD results are validated with experimental

Artificial Intelligence
Energy and Water
Mechanical Design

Tandem Organic Solar Cell Optimization Using Response Surface Methodology

Organic solar cells have many advantages such as their ease of manufacturing, flexibility, and low cost compared to perovskite and silicon solar cells. However, increasing their power conversion efficiency (PCE) is still challenging. In this paper, response surface methodology of design of experiments (DOE) is used to optimize the PCE of a tandem organic solar cell. The cell is based on boron sub

Energy and Water
Mechanical Design

Synthesis of CuO-distributed carbon nanofiber: Alternative hybrid for solid propellants

Carbon nanofibers (CNFs) possess superior catalytic abilities and high surface area. Moreover, energetic particles can be loaded on them by acting as carriers. The current study reports an electroless plating, effective deposition of copper particles (Cu) on the surface of CNFs. The prepared Cu–CNFs hybrid was annealed at 250 °C to form CuO–CNFs. Homogeneous loading of CuO particles on CNFs was

Energy and Water

Design and Implementation of a Ball and Beam PID Control System Based on Metaheuristic Techniques

The paper introduces a comparative analysis between three meta-heuristic techniques in the optimization of Proportional-Integral-Derivative (PID) controller for a cascaded control of a ball and beam system. The meta-heuristic techniques presented in this study are Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Bat Algorithm Optimization (BAO). The model uses a DC motor with

Circuit Theory and Applications

Carbon-dot-loaded CoxNi1−xFe2O4; x = 0.9/SiO2/TiO2 nanocomposite with enhanced photocatalytic and antimicrobial potential: An engineered nanocomposite for wastewater treatment

Water scarcity is now a serious global issue resulting from population growth, water decrease, and pollution. Traditional wastewater treatment plants are insufficient and cannot meet the basic standards of water quality at reasonable cost or processing time. In this paper we report the preparation, characterization and multiple applications of an efficient photocatalytic nanocomposite (CoxNi1

Healthcare
Energy and Water

Effect of cracks in wind turbine blades on natural frequencies during operation

Most publications that are concerned with the crack detection via analyzing Eigenfrequencies or deformation modes of wind turbine blades (WTBs) are done in stationary condition. This paper however proposes a novel approach that could study the effect of WTB cracks during rotation at any speed without the need to stop the turbine by using multibody analysis. This approach will reduce the cost of

Mechanical Design

A study of the nonlinear dynamics of human behavior and its digital hardware implementation

This paper introduces an intensive discussion for the dynamical model of the love triangle in both integer and fractional-order domains. Three different types of nonlinearities soft, hard, and mixed between soft and hard, are used in this study. MATLAB numerical simulations for the different three categories are presented. Also, a discussion for how the kind of personalities affects the behavior

Circuit Theory and Applications

A Neuro-Fuzzy Based Approach for Energy Consumption and Profit Operation Forecasting

In recent years, the massive growth in the scale of data is being a key factor in the needed data processing approaches. The efficiency of the algorithms of knowledge extraction depends significantly on the quality of the raw data, which can be improved by employing preprocessing techniques. In the field of energy consumption, the forecasting of power cost needed plays a vital role in determining

Mechanical Design

Self-Driving Car Lane-keeping Assist using PID and Pure Pursuit Control

Detection of lane boundaries is the primary role for monitoring an autonomous car's trajectory. Three lane identification methodologies are explored in this paper with experimental illustration: Edge detection, Hough transformation, and Birds eye view. The next step after obtaining the boundary points is to add a regulation rule to effectively trigger the regulation of steering and velocity to the

Artificial Intelligence
Software and Communications
Mechanical Design