This paper presents a generic model for material flow prediction based on the well-known Johnson-Cook model. The model is developed to precisely predict the flow behavior of various categories of alloys. The coupled effects between strain, strain rate, and temperature were taken into consideration. The proposed model is developed and assessed using the hot deformation data of four different categories of alloys; with four different base elements. Besides, the data of two different alloys under dynamic loading are used for assessment. The proposed modification is compared to the original

Nowadays, human emotion recognition is a mandatory task for many human machine interaction fields. This paper proposes a novel multi-modal human emotion recognition framework. The proposed scheme utilizes first the 3D-Convolutional Neural Network (3D-CNN) deep learning architecture for extracting the spatio-temporal features from the electroencephalogram (EEG) signals, and the video data of human faces. Then, a combination of data augmentation, ensemble learning techniques is proposed to get the final fusion predictions. The fusion of the multi-modalities in the proposed scheme is carried out

A new metric for measuring the performance of heat transfer devices, which require the consumption of mechanical power to function, is proposed. The proposed Energy-Utilization Metric, EUM, is derived to quantify the achieved heat transfer rate per unit consumed mechanical power. By virtue of its definition, using the EUM as a preference metric between different heat transfer devices guarantees the selection of the design with the best energy-utilization characteristics or in other words the device which meets the required heat load with the minimum amount of consumed pumping power. The

A comparative numerical study is performed among different URANS turbulence models investigating the ability of the models to capture the deformation of the boundary layer near the separation zone. The results are validated against previously published numerical works (URANS, LES, DNS) and experimental works. The comparison included grid resolution, the pressure distribution, and the velocity profiles at the inclined wall, then the streamlines plot of each model is used to properly estimate the separation and reattachment points. © 2021 IEEE.

Numerical simulation of the non-premixed combustion of methane air mixture in a gas turbine can- type swirl combustor is conducted. The study objective is to examine the effect of different design and operational parameters on the combustor performance and its emissions. The investigated parameters are the primary air flow rate, the swirl ratio between the secondary and the primary air and the fuel to the primary air swirl ratio. Several indicators are used to evaluate the combustion performance and emissions which include average exit temperature of the chamber, pattern factor, NOx and CO

The use of modeling and simulation as a decision aid tool has been widely recognized in the field of production engineering. In this work, modeling and simulation is used to examine, analyze, and recommend improvements for the performance of an existing assembly line within a manufacturing facility. Several key performance indicators (KPIs) are determined to evaluate the performance of the assembly line under study. With the aid of Maynard Operation Sequence Technique (MOST) and Line Balancing methods, two improved systems are recommended to enhance the performance of the line under study

This work assesses the economic sustainability of industrial factories in Egypt based on the Analytical Hierarchical Process (AHP). The authors designed an economic sustainability index calculator (ESIC) using Unified Modelling Language (UML) and implemented the software using Visual basic of Applications (VBA) tool to the code the program. UML was used for the system analysis and design only, giving an insight to the system architecture. The manual method of calculating the economic sustainability index is included in this research and verified by using the designed ESIC. The categories of

This study aims to utilize bagasse waste produced from the sugar cane industry to manufacture single-use tableware such as plates and cups as a potential alternative to Styrofoam and plastic cups and containers. This will reduce the environmental hazardous results from packaging products. Unlike traditional plastics and Styrofoam which can take hundreds of years and require high temperature to degrade, these eco-friendly containers from bagasse take approximately 60 days to degrade and break down. In this research, potato peel starch and glycerol were added to bagasse pulp to improve both

This paper aims to conduct a feasibility study of producing fuel from plastic waste. It is a suggested approach to deal with the huge production of synthetic plastic around the world, so as to avoid its accumulation in landfills and the depletion of resources. Several types of research have addressed the conversion of plastic waste into energy, and in this study the authors focused on using pyrolysis to convert plastic to liquid oil. Accordingly, the volume of the waste was reduced significantly, and the produced liquid oil had a high calorific value in comparison to fossil fuel. The authors

Meta heuristic algorithms are very important methods, they used mainly in solving combinatorial optimization problems. They are stochastic in manner and simulate the behavior of any population of particles. Meta heuristics algorithms try to find optimal or near to optimal solution when solving complex optimization problem. In this paper two modified emperor penguins colony optimization algorithms MEPC1 and MEPC2 were developed. Original Emperor Penguins Colony (EPC) algorithm simulates the behavior of emperor of penguins, two modifications are done to the original EPC, Archimedes and