College of Engineering Bhubaneswar

Aluminium recycling has gained significant importance as an effective approach for improving energy efficiency and promoting sustainable material utilization in modern engineering applications. This paper presents a focused review of aluminium recycling from an energy-oriented perspective, with particular emphasis on the interrelationship between recycling processes, energy consumption, and application performance.It is well established that secondary aluminium production requires only a small fraction of the energy compared to primary production, leading to substantial reductions in energy demand and greenhouse gas emissions.The study examines various sources of aluminium waste and provides a comparative assessment of conventional remelting and advanced solid state recycling techniques. Furthermore,the application of recycled aluminium in sectors such as transportation, construction, and renewable energy systems highlights its critical role in sustainable development. Key challenges, including contamination, oxidation losses, and variability in scrap composition, are also discussed.The paper concludes that continued advancements in recycling technologies and process optimization are essential for maximizing energy efficiency and enabling the broader adoption of sustainable engineering practices.

Transportation is one of the biggest contributors to global greenhouse gas emissions, and some of its toughest sub-sectors - heavy trucking, maritime shipping, and aviation - depend on energy-dense fuels that batteries cannot replace on their own. This review takes a close look at the next generation of fuels for internal combustion engines (ICEs), covering hydrogen, ammonia, biofuels (ethanol and biodiesel), synthetic e-fuels, and compressed/liquefied natural gas. Building on a large-scale bibliometric study of more than 760 research articles published between 2012 and 2023 and drawing on supplementary workshop materials, the paper explores combustion behavior, emissions profiles, NOx control strategies, and the infrastructure required for each fuel pathway. It also discusses advanced combustion approaches, HCCI, RCCI, and dual-fuel operation, as key enabling technologies. Along the way, the review tackles the major hurdles: hydrogen storage challengesand combustion quirks such as backfire and knock; ammonias stubborn resistance to ignition; the high cost of green hydrogen and synthetic fuels; and concerns about biofuel feedstock sustainability. The central conclusion is that no single fuel will do the job alone. Instead, a portfolio approach that matches multiple fuels with advanced engine technologies and well designed policy frameworks offers the most realistic path toward net-zero transport emissions by mid-century.

Modern electronic devices pack increasing amounts of power into shrinking form factors, and the heat they generate remains a primary cause of premature failure and performance degradation. Among the various thermal management strategies available, passive heat sinks remain a go-to solution because they require no external power and require virtually no maintenance. In this work, two rectangular-fin heat sink layouts are examined side by side: a baseline design with 10 fins and a modified variant with 12 thinner, taller, and more closely spaced fins. Each geometry is evaluated in both aluminum and copper, producing four distinct configurations.

In recent years, the energy sector has undergone remarkable transformation, largely driven by the integration of intelligent technologies. From electricity generation to end-use consumption, smart systems have become increasingly influential. The Internet of Things (IoT) ecosystem, in particular, has introduced numerous smart devices and home automation solutions. Among these innovations, smart energy meters have emerged as an effective tool for residential energy management. With technological advancements, it is now possible to monitor electricity usage in a non-intrusive manner using smart meters,enabling efficient control of household appliance consumption. In this study, an IoT-based smart meter is implemented to measure real-time power usage in different rooms of a house by tracking the electricity flow through power lines. The collected data is automatically transmitted to a real-time database for further analysis. This system enables users to identify which appliances are operating in each room and determine their corresponding energy consumption. If the power usage in any room exceeds a predefined threshold set by the user, the system provides options to either disconnect the power supply to that room or send an email alert. Additionally, users can remotely manage power supply-either for specific rooms or the entire house-via internet connectivity. These features empower consumers with better insight and control over their electricity consumption, ultimately helping them reduce energy usage and lower costs.

widespread dissemination of knowledge in human history was made possible by the creation of the World Wide Web and the rapid adoption of social media platforms like Facebook and Twitter.Because social media is so widely used, consumers are creating and sharing more information than ever before, some of it is false and unconnected to reality. Automatically classifying a written article as misinformation or disinformation can be challenging. Even a subject-matter expert must take several aspects into account before determining the authenticity of an article. In this work, we propose a machine learning approach for automatically classifying news articles. Our study looks into a variety of linguistic traits that can be used to distinguish between genuine and fake content. Using those qualities, we train a range of machine learning techniques and deep learning models. Using the Long Short term memory (LSTM) model, we eventually achieved 97% accuracy.