AI Enhanced Eye Detection Wheelchair with Smart Monitoring using Deep Learning
Pain Alleviating and Movement Assistive Device for Bone Fractured Patients
Nature’s Pharmacy: A Deep Learning approach for Identification of Medicinal Plants
Design and Implementation of an Analog and Mixed-Signal System on Chip for ECG Monitoring
Machine Learning: A Multifaceted Exploration of Trends, Regulations, and Global Impact
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
Development and Performance Evaluation of Magnetic Abrasive Finishing Setup for Thick Cylinders
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
This work aims to contribute to the issue of producing electrical power and reducing the emissions of gases into the atmosphere by utilizing low grade energy sources such as solar energy, geothermal energy and the energy that is rejected from industrial processes. The Organic Rankine Cycle (ORC) and Kalina are two cycles used to utilize low-grade energy sources. Each of them differs in the structure and in the working fluids. The organic Rankine cycle uses organic materials as working fluids, such as benzene, R-600a, methanol, propane, R-245f, i-pentane and ammonia while Kalina cycle uses a mixture of ammonia and water as a working fluid. A comparative analysis is implemented to study the thermodynamic performance of the proposed cycles. For the organic cycles, the analysis reveals that benzene and methanol have the best thermodynamic performance compared to the other tested organic fluids. The thermodynamic findings of the organic Rankine cycles are compared with those obtained from the thermodynamic analysis of Kalina cycle of a binary solution of 70% ammonia and 30% water. For instance, the results showed that the methanol and benzene cycles are more efficient than Kalina cycle where the exergy and energy efficiencies of Kalina amounted to 9.41% and 6.224%, while the exergy and energy efficiencies of methanol cycle (ORC) were 18.85% and 12.83%, respectively.
Exergy efficiency and exergy destruction of forced turbulent convective fluid flow through spiral passages using sourcesink model are assessed. Constant and temperature dependent thermophysical properties of process fluid in sink regions have been considered, while in the source regions phase change material is kept at constant temperature. Moreover, the effect of a secondary flow phenomenon due to spiral motion of the fluid flow through narrowing spiral passages has been evaluated in the sink passage domain. It was found that this phenomenon plays an important role in decreasing the exergy destruction as a result of energy exchange between source and sink in this compact type of energy carrier or storage equipment. It was found that the De (Dean Number) whose magnitude is a measure of the secondary flow, has positive impact on exergy efficiency while decreasing along the spiral passage. The fluid properties that are temperature dependent have a significant influence on the enhancement of heat transfer process, exergy efficiency and exergy destruction. It is concluded that the source-sink model could be considered from engineering point of view as a good simple model for evaluating the thermodynamic performance of this type of thermal energy process device.
The Fourth Industrial Revolution, known as Industry 4.0, has ushered in a transformative era for businesses. This paper presents a pioneering framework for contextual consulting practices tailored to the unique challenges and opportunities posed by Industry 4.0. The framework employs a hybrid data analytics approach, integrating advanced methods such as machine learning, predictive modeling, and real-time data processing to empower decision-making processes and offer actionable insights to businesses operating within Industry 4.0. This approach leverages a hybrid blend of data analytics methods to empower decision-making and deliver actionable insights to industries. This paper offers an in-depth exploration of the framework's architecture, its key components, and its practical effectiveness through a compelling case study.
Corrosion is one of the primary causes of wear and tear on machine parts and is responsible for reducing the life of machinery parts. Several industrial accidents occur because of pipeline corrosion. There are various methods to protect the materials from oxidation, wear and corrosion. These preventive measures include pretreatments of metals, proper design and selection of right selection, sacrificial method, cathodic protection, barrier protection, electroplating, zinc galvanizing by hot dipping and thermal spray coatings. However among various preventive measures thermal spray coating offered high resistance against erosion, corrosion and oxidation. Therefore, providing an overview of the various types of corrosion, their causes, mechanisms, costs, and related preventive measures is the aim of this study. This information aims to enable proactive measures in mitigating the impact of corrosion-related issues.
Global warming is one of the most important factors in unpredictable climatic changes and a challenging issue in the world. The MENA region is one of the hottest areas in the world, and most of its revenue is based on oil resources. The sultanate of Oman, as per Vision 2040, aims to increase the number of renewable energy plants to reduce their electrical energy dependence. At present, Oman produces 650 MW of electrical power using renewable energy sources, this may increase in the upcoming years. High energy density and transportability make hydrogen a suitable energy carrier compared to the existing fossil fuels. This paper discusses the various possible techniques to produce green hydrogen and a brief comparative study of these techniques for their feasibility in the regional scenario so that an effective usage of hydrogen sources and better energy management can be achieved in Oman. Hence, making the usage of green hydrogen as a renewable energy source more feasible and conventional in the upcoming years is in line with Vision 2040.