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Due to the depletion of fossil fuels and excessive air pollution, the world is moving towards electric vehicles. Usage of electric vehicles avoids the global warming and safeguard the earth. Batteries are the primary source of electricity for electric vehicles which generates lot of heat during its operation. Now a days, firing accidents of electric vehicles on roads are frequent. One of the most significant systems to avoid this fire accident is thermal management system. Effective thermal management of high-power density battery is essential for battery’s performance, life, and safety. Components that are used for the thermal management are to be as efficient as possible to achieve effective cooling of batteries. Direct Liquid Cooling has received lot of interest in recent years. A non-conductive dielectric fluid is used to submerge the battery cells. As the fluid is dielectric, the direct contact with the cell surfaces will not be tend to short circuit the battery.

Nano Enhanced Phase Change Material (PCM) is proposed as Battery Thermal Management System. by nature, the pure paraffin has low thermal conductivity and sub-cooling characteristics. In order to increase the thermal conductivity of PCM, thermal conductive substance such as nanoparticles are added to PCM, SiO2 nanoparticles were dispersed into paraffin wax tosynthesisSiO2 –PCM nanocomposites. The chemical, physical and thermal properties of CPCMs were determined by various material characteristic techniques. The TGA and DTG results show that all CPCMs have good thermal and chemical stability. With the addition of SiO2 improved the thermal and chemical stability of pure paraffin The latent–heat of fusion was decreased with increasing the loading of SiO2 and also the thermal conductivities of CPCM increased.

Increasing advancement in automotive technologies ensures that many more lightweight metals become added to the automotive components for the purpose of light weighting and passenger safety. The accidents are unexpected incidents most drivers cannot be avoided that trouble situation. Crash studies are among the most essential methods for enhancing automobile safety features. Crash simulations are attempting to replicate the circumstances of the initial crash. Frontal crashes are responsible for occupant injuries and fatalities 42% of accidents occur on frontal crash. This paper aims at studying the frontal collision of a passenger car frame for frontal crashes based on numerical simulation of a 35 MPH. The structure has been designed to replicate a frontal collision into some kind of inflexible shield at a speed of 15.6 m/s (56 km/h). The vehicle’s exterior body is designed by CATIA V5 R20 along with two material properties to our design.

In lieu of the drastic growth of the vehicle population, there is a huge consumption of fossil fuels and mineral oils for mobility. This leads to depletion in fossil fuels and mineral oils which are the by-products of petroleum. These fossil fuels can’t sustain for a long period of time because of its toxicity. In order to reduce the usage of existing mineral oil for lubrication, a source of non-edible oil from Jatropha curcus is processed as jatropha methyl ester (JME). It is holding high viscosity, density and easy blend with base oil. In this current work, the wear resistance of the lubricating oil is enhanced by the addition of nano-copper oxide particle blend with the base oil. The emission performance and tribological behavior have been experimentally tested in 98.2CC two-stroke air cooled engine. The 20% of JME blend with CuO nano particle provides better emission performance and wear characteristics than the other combination of blends.

The objective of the bearing materials is to reduce the friction and enhance the movement between two parts. The main aim of our project is to focus on the wear, tensile and fatigue characteristics of engine journal bearing material. The engine bearings are mainly classified into main bearings and journal bearings. The journal bearing material was made by cladding process. It is formed in two types of shape one is circular and the other is on dog bone shape. Both of the specimens were made as per ASTM standards. The material on which the test specimen was made on steel platted copper material and Aluminium 1020. The circular shape specimen was subjected to wear test on Pin on Disc method and the wear calculations were calculated in microns. The dog bone shape specimen was tested on tensile strength on Universal Testing Machine (UTM). The stress strain curve was obtained. The specimen will subject to fatigue test by using of fatigue test machines.

Nickel-based superalloys are most commonly engaged in a numerous engineering use, including the making of food processing equipment, aerospace components, and chemical processing equipment. These materials are often regarded as difficult-to-machine materials in conventional machining approach due to their higher strength and thermal conductivity. Various methods for more effective machining of hard materials such as nickel-based superalloys have been developed. Wire electrical discharge machining is one of them. In this paper, an effect has been taken to develop an adaptive neuro-fuzzy inference system for predicting WEDM performance in the future. To analyse the model’s variable input, the paper employs the Taguchi’s design and analysis techniques. The evolved ANFIS model aims to simulate the process’s various characteristics and predicted values. A comparison of the two was then made, and it was discovered that the predicted values are much closer to the actual outcomes.

Controlling thermal dissipation by operating components in car batteries requires a heat management design that is of utmost importance. As a proactive cooling method, the usage of PCM (Phase Change Materials) to regulate battery module temperature is suggested. Even at lower flow rates, liquid cooling has a heat transfer coefficient that is 1.5–3 times better. The rate of global cell production has increased today from 4,000 to 100,000 cells per day. Future-proof Li (metal) battery chemistry with a 3x increase in energy density. Ineffective thermal management of the battery is the root of the issue. In order to optimise battery modules, it is important to identify likely failure modes and causes. The medium used to carry heat from the battery over its passage duration at various operating temperatures is a variety of phase-change materials. The latent heat is significant, and many vegetable fats derived from fatty acids are more effective than salt hydrates and paraffin.

Due to their inherent properties and superior performance over titanium-based materials, nickel-based superalloys are widely utilized in the manufacturing industry. Monel 400 is among them. This nickel-copper alloy possesses exceptional corrosion resistance and mechanical properties. Monel 400 is primarily utilized in the chemical industry, heat exchangers, and turbine component manufacturing. Due to the properties of Monel 400, it is deemed as hard to machine materials with the aid of conventional methods. For investigating the performance of this process, a three-level analysis was carried out. Pulse on duration and applied current at three levels are the independent parameters used for designing the experiments. In this present article, a single-response analysis technique is used which is known as Taguchi to investigate the impact of the various process parameters on the output variables.

Nickel-based superalloys are frequently adopted in various engineering applications, such as the production of food processing equipment, aerospace parts, and chemical processing equipment. Because of higher strength and thermal conductivity, they are often regarded as difficult-to-machine materials in certain processes. Various methods were evolved for machining the hard materials such as Nickel-based superalloys more effective. One of these is wire electrical discharge machining. In this paper, we will discuss the development of an artificial neural network model and an adaptive neuro-fuzzy inference system that can be used to predict the future performance of Wire Electrical Discharge Machining (WEDM). The paper uses the Taguchi and Analysis of Variance (ANOVA) design techniques to analyze the model’s variable input. It aims to simulate the various characteristics of the process and its predicted values.

A wide range of engineering domains, such as aeronautical, automobiles, and marine, rely on the use of Metal Matrix Composites (MMC). Due to the excellent properties, such as hardness and strength, Aluminum base MMC are generally adopted in various uses. Due to the increasing number of reinforcement materials being added to the MMC, its properties are expected to improve. In this exploratory analysis, an effort was given to develop a new aluminium-based MMC. The analysis of the machinability of the composite was also performed. The process of creating a new MMC using a stir casting technique was carried out. It resulted in a better and more reinforced composite than its base materials. The reinforcement materials were fabricated using different weight combinations and process parameters, such as the temperature and duration required to stir. Due to the improved properties of the composite, the traditional machining method is not feasible for machining of these materials.

In the domain of Additive Manufacturing (AM), Fused Filament Fabrication (FFF) hath flourished as a promising method for crafting complex geometric parts with a commendable degree of dimensional precision. The perception of recycling metal scrap particles obtained from machining operations unbound the scope of developing sustainable layered polymer composites with integral properties of metal particles. In this context, the present work is intended to investigate the tensile properties of Polylactic Acid (PLA), strengthened with fine particles of bronze scrap particles as reinforcement fabricated by FFF-based additive manufacturing technique. The composite specimens are manufactured as per ASTM standard with different combinations of build orientation, infill pattern, and no. of reinforcement layers.