
Circuit Theory and Applications

Finite Element Analysis and Experimental Study of Manufacturing Thin-Walled Five-Branched AISI 304 Stainless Steel Tubes with Different Diameters Using a Hydroforming Process
This study aims to investigate the feasibility of hydroforming (HF) technology coupled with response surface optimization for producing high-quality five-branched AISI 304 stainless steel tubes with different diameters, addressing the shortcomings of traditional manufacturing processes. Conventional techniques often result in issues with multiple consumables, low precision, and subpar performance. The research focuses on finding optimal forming parameters for a more effective process. Initial attempts at a five-branched tube proved unfeasible. Instead, a multi-step forming approach was adopted
Towards a circular economy: valorization of banana peels by developing bio-composites thermal insulators
The building construction materials are responsible for a large amount of energy and natural resource consumption. In light of the current challenges of resource scarcity and global climate change, the circular economy (CE) is a promising strategy to mitigate pressure on the environment, improve supplying of raw materials, and increase new market and employment opportunities. Developing eco-friendly thermal insulation materials based on agro-waste is a new waste management trend to achieve the sustainability of the resource and energy consumption in the construction sectors. In this work

Optimization of machining parameters for turning operation of heat-treated Ti-6Al-3Mo-2Nb-2Sn-2Zr-1.5Cr alloy by Taguchi method
TC21 alloy is a high-strength titanium alloy that has been gaining attention in various industries for its excellent combination of strength, toughness, and corrosion resistance. Given that this alloy is hard to cut material, therefore this study aims to optimize the process parameters of Turing this alloy under different conditions (i.e. as-received alloy, and heat-treated alloy). The L9 Taguchi approach-base orthogonal array is used to determine the optimum cutting parameters and the least number of experimental trials required. The achievement of this target, three different cutting

The Effect of Directional Tactile Memory of the Back of the User on Reaction Time and Accuracy
Tactile memory is the cognitive process of storing and recalling information that has been perceived through the sense of touch. Directional tactile memory involves the encoding and retrieval of sensory data associated with a tactile experience, allowing individuals to remember and recognize directional information encoded through the sense of touch. A new method for providing directional tactile feedback, at the back of the user, has been developed to investigate the efficacy of directional tactile memory, its decay over time, and its impact during a concurrent cognitive task. Two experiments

NEW Hybrid ZIF-8/NC-PU and NC-PU Gel Composites for the Effective Removal of Cationic and Anionic Dye from Aqueous Solution: Process Optimization
New hybrid metal organic framework based polymer nanocomposite (ZIF-8/NC-PU) and interpenetrating polymer gel nanocomposites (NC-PU) were prepared for the adsorption of cationic (Rh-B) and anionic (IC) dyes from aqueous solution. The characterisation of the ZIF-8 based composites and gel composites is carried out using FT-IR and SEM analysis to investigate the chemical composition and morphology of the sample. Moringa oleifera seed pod based nanocellulose (5 wt%) is used as the filler in NC-PU gel composites and ZIF-8/NC-PU MOF composites. The optimal level of the most significant identified

Dynamic Distributed Monitoring for 6LoWPAN-based IoT Networks
—Mission-critical Internet of Things (IoT)-based networks are increasingly employed in daily and industrial infrastructures. The resilience of such networks is crucial. Given IoT networks’ constantly changing nature, it is necessary to provide dependability and sustainability. A robust network monitoring can reinforce reliability, such that the monitoring mechanism adapts itself to real-time network instabilities. This work proposes a proactive, dynamic, and distributed network monitoring mechanism with monitor placement and scheduling for 6LoWPAN-based IoT networks intended for mission

Modeling circular supply chains as an approach for waste management: A systematic review and a conceptual framework
All world countries are suffering from repercussions of the global climate change problems and there is an urgent need to mitigate their negative impacts. Improper waste management methods contribute directly to climate change where common waste treatment methods are basically relying on incineration or landfilling. Nowadays, incorporating the circular economy perspective into the business model demonstrates the ability of creating value from wastes and reducing the residuals by adopting the circular supply chains management (CSCM) as a promising alternative to linear supply chains. Studying

A hybrid bat algorithm to solve the capacitated vehicle routing problem
The vehicle routing problem (VRP) is one of the important problems that has been examined extensively over the past decades. The problem holds a central position within the fields of transportation logistics and supply chain management. Due to the NP-hard nature of the problem, many researchers have developed several heuristics and metaheuristics to solve the problem. This research proposes a hybrid bat algorithm to solve the VRP. The algorithm employs the Bat algorithm hybridized with a modified kmeans algorithm. The proposed solution technique adopts the methodology of cluster first route
Modelling stress-strain curves and forming limit curves using deep learning
The sheet metal forming process stands one of the most principal applications in production engineering with the goal of producing defect free products possessing the mechanical properties that met the working conditions requirements. The efficient metal forming process relies on a deep understanding of the material behaviour during the forming process. To achieve this, feasibility studies for new incoming components helps determine if a part is feasible for manufacturing or if design modifications are required. This simulation requires an accurate material card to replicate the real material

Challenges and Motivations for Youth Entrepreneurship Start-Ups:Empirical study from Egypt
Entrepreneurship is a key catalyst of any economic growth, and Egyptian entrepreneurs tried to prevail. Their number grew rapidly during the past decade. But the statistics still alarming as many of them fail and seize to continue. This study tries to identify key constraints that deter young people from starting and running their own businesses and tries also to identify incentives and stimuli that might encourage young people to engage in entrepreneurial projects. For a quantitative research, 30 complete questionnaires were analyzed. The sample represented successful start-ups that worked