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In engine 30% of the total energy is lost due to the friction between piston ring and cylinder liner due to their constant rubbing motion. A piston that reciprocates at high speeds has piston rings that constantly scrape against the wall leading to high frictional losses within the engine. The engine has to work against this resistance to provide the required power, and hence it will consume more fuel. For this reason, material used for these components is more crucial. Reduction of surface friction between moving parts in order to increase overall efficiency can be achieved by suitable coating. The most commonly used piston rings are coated with chromium layers that are electroplated which is being replaced by chrome plating. Low coefficient of friction (COF) and high wear resistance can be achieved by self-lubricating coating of PTFE and PEEK polymer-based composite coatings.

Pneumatic valves are widely used in heavy commercial vehicles’ air braking systems. These valves are mainly used in the braking system layout to maintain the vehicle stability during dynamic conditions. Rubber components are inevitable in valves as a sealing element, and it is very difficult to predict the behavior due to its nonlinear nature. Basically, these valve efficiencies are defined in terms of performance and response characteristics. These characteristics are determined in the concept stage itself using ID simulation software. The typical device is used for preferential braking according to the driver's pedal input. AMESim software has a variety of elements to use in a unique way for performance and response behavior prediction. For pneumatic valves, 1D analysis is an effective method and it gives good correlation with actual test results.

The performance standards of Li-ion batteries used in EVs have skyrocketed, owing to their rapid commercialization in recent years. This has made Li-ion battery thermal management more vital than ever before, as optimum performance is achieved only when the batteries are within the narrow temperature range of 25˚ to 40˚C. However, the operating temperatures in a lot of EVs go way beyond 40˚C, leading to a reduction in the battery performance and lifetime. This study aims to solve this problem by improving the battery packing and maintaining the battery temperature via a hybrid cooling system that involves both air-cooling and liquid cooling. This is achieved by varying the liquid coolant used in the system and the cell arrangement in the battery module which has 32 cells in an 8x4 arrangement.

An oil spill refers to the accidental or deliberate release of petroleum or other petroleum-based products into the environment. These spills can occur on land or in water bodies, such as oceans, rivers, or lakes, and can have devastating impacts on the environment, wildlife, and human health. Oil spills can harm aquatic and terrestrial ecosystems by contaminating water and soil, and by affecting the food chain. They can also cause economic losses, such as the loss of fisheries, tourism, and property values. Cleaning up oil spills can be a difficult and expensive process, and the effectiveness of the response can depend on various factors, such as the type and amount of oil spilled, weather conditions, and proximity to sensitive ecosystems. Preventing oil spills is critical to minimizing their impacts.

Road transportation is accelerating it’s shift from fossil fuels to electric power in the last one decade which has resulted in various electrification efforts across different levels including E-cycles, 2 Wheelers, 3 wheelers, cars and commercial vehicle applications. The main components across any road transport are the battery system, electric motor, Field Oriented Controllers which communicate with the vehicle control unit, and helps the motor to perform effectively and efficiently under various operating conditions. The core system of motor and controller is very critical during operation and its reliability at any given point of time is paramount. The motor and controller system in some applications like 2 wheeler applications are customized with shorter connections to save space, eliminate longer wiring harnesses and it calls for higher reliability due to lesser serviceability and compact design.

Composite materials find extensive applications in numerous fields, including mechanical and automotive components. They are often subjected to varying climatic conditions, leading to the transfer of air, heat, and moisture. Here, the study is done to model the moisture-based diffusion in order to predict the output beforehand, so that necessary precautions can be taken before it fails. The study primarily investigates the heat and moisture-based absorption behavior of composite materials. The Representative Volume Element (RVE) approach is chosen which enables the feasibility to simulate the behavior of composite at a micro-scale level. In addition to providing insights into micromechanics, this approach also helps to define the physics behind moisture absorption based on Fick’s law. The FEA simulation is carried out using the COMSOL Multiphysics software.

Scrap collection from any location is handled with mortal interference in several places and companies which may be extremely harmful or even dangerous to humanity. The demand for robotization has risen rapidly in recent years, owing to cutting-edge technologies that minimize manpower and threat-taking training directly or indirectly. The main objective of the paper is to study, analyze, investigate the main contribution of waste collecting by workers while cleaning in the Mechanical Industry. Inorder to ensure the safety of the workers during cleaning we had implemented the Automatic Trash Collecting Machine in the industry. For Fabricating the Trash collecting Machine first we had analyzed the problem in the industry and then we had started the free hand sketch of Trash Collecting Machine. Then the design work of Automatic Trash Collecting Machine is done in the modeling software Catia V5. Then the material selection for our model has been done.

Considering the advancements in manufacturing industries, which are crucial for economic growth, there is a substantial demand for exploration and analysis of advanced materials, especially alloy materials, to enable efficient utilization of new technologies. Lightweight and high-strength materials, like aluminum alloys, are highly recommended for various applications that necessitate both strength and resistance to corrosion, such as automobile, marine and high-temperature applications. Therefore, there is a significant need to investigate and analyze these materials to facilitate their effective application in manufacturing sectors. This study investigates the machinability of drilling AA6061 using a micro-textured uncoated tool and proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) model for investigating the machinability of drilling AA6061 aluminum alloy with a micro-textured uncoated tool.