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Full Description
The 67th issue of the journal includes articles that present the latest research results in chemical engineering for energy production, friction stir welding of polymers, corrosion rate prediction in pipelines, green building materials and structural mechanics, analysis of opening angle on the efficiency of Michell-Banki turbines without guide blades. There are also described neural networks-based modelling to optimise water productivity of passive solar still and model-based approaches for leak detection in water distribution systems, analysis of photovoltaic systems performance in Morrocan regions and a machine learning scheme for speed prediction in intelligent transportation systems. This volume will be helpful to many engineers in machinery, energy production and construction.
Contents
Recovery of Flared Natural Gas with High CO2 Content Using SOFC CHP System: Feasibility Study for Neem-Field, Sudan
Effect of Water Cooling on the Microhardness of Friction Stir Welded High-Density Polyethylene Sheets: Experimental Study
Corrosion Rate Prediction in Oil and Gas Pipelines Based on Multiphase Flow Modelling
Evaluating Thermal Performance and Environmental Impact of Compressed Earth Blocks with Cocos and Canarium Aggregates: A Study in Douala, Cameroon
Optimization of the Impact of Dune Sand, Recycled Rubber Aggregates, and Clay Brick Waste on Eco-Mortar Mechanical Strength by the Taguchi Method
Studying the Effects of Opening Size and Location on Punching Shear Resistance of Flat Slabs Using ANSYS V.19
Numerical Study of the Opening Angle Incidence in Michell-Banki Turbine's Performance without Guide Blades
Deep Neural Networks Based Modeling to Optimize Water Productivity of a Passive Solar Still
Model-Based Approach for Leak Detection and Localization in Water Distribution Networks: A Literature Survey
Comparative Analysis of Energy Production and Simulation Software for Photovoltaic Systems in Multiple Moroccan Sites
A Machine Learning Scheme for Speed Prediction in Intelligent Transportation Systems Using a Bi-LSTM Based Model
