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The demand for electric vehicles (EVs) has been steadily increasing in recent years, led by the factors like environmental concerns, government incentives, and improvements in EV technology. The EV’s growth is expected to increase in the coming years as EVs become more affordable and more models become available on the market. Predicting the price of electric vehicles provides valuable insights on the EV market and inform a range of business, consumer, financial, and policy decisions. Predicting the price of electric vehicles using simple linear regression involves building a linear regression model with a single independent variable usually the vehicle’s characteristics or features to predict the dependent variable the price.This work has predicted the price of Electric Vehicle using a data set prepared for the Indian context. It has been predicted that there is significant correlation between battery capacity in Ah and the vehicle price.

In an All-Terrain Vehicle design competition Knuckle is an important component which carries the complete wheel assembly and loads with itself. Loads in the wheels are directly transferred to the upright which can withstands itself with the proper design and force calculations. Forces are generated in the links of the upright and transferred to the chassis via tyre. The following study aims to design and manufacture knuckle by reducing the weight with the help of necessary force calculations on dynamic conditions in addition with Finite Element Analysis. Mass is the primary optimization in this analysis. We reduced up to 48.5% of mass from original design to get a final mass in rear upright and necessary force calculations for the front upright. The shape of the Upright is also well optimized according to compensate the suspension hardpoints. The front upright has Tie rod, caliper mounting, upper and lower arms.

Aerodynamic resistance stands as a pivotal factor impacting the performance of race cars, creating significant impedance to their movement. Diverse strategies exist to alleviate this resistance, including the integration of aerodynamic elements and refinement of the vehicle's body contours. By emphasizing drag reduction without altering the powertrain, race car designs can effectively curtail drag. This study centers on the exhaustive examination, analysis, and experimentation with a model representing a Formula Student (FS) car, with the primary objective of augmenting its aerodynamic efficiency for motorsport applications. In compliance with the SAEINDIA Supra regulations, a meticulously crafted CAD model of the formula car is developed. After this, the model undergoes simulation utilizing computational fluid dynamics (CFD) tools, facilitating the identification of turbulent zones and areas of enhanced drag.

An Electric All-Terrain Vehicle (E-ATV) can able to run in a rough and rugged terrain conditions. The four-wheel drive (4WD) powertrain of the E-ATV provides enough traction to the vehicle to maneuver over the terrain surface by providing significant amount of power and enough traction. The mechanical powertrain has components such as gearbox, differential, Continuous Variable Transmission (CVT), propeller shaft and Drive shafts, etc. For successful implementation of the powertrain system, it must follow some steps such as mathematical modeling, designing, analyzing, manufacturing, assembling and testing the powertrain components. An electric motor provides power to the Continuous Variable Transmission (CVT). The CVT in turn transmits the power to a two-stage reduction gearbox. The gearbox then transmits the power to four wheels using drive shafts and propeller shafts via differentials in front and rear. For Computer aided designing (CAD), SolidWorks is used.

In day-to-day life, accidents do occur frequently all around the globe. It is difficult to prevent these accidents as they occur due to different reasons, which cannot be easily controlled. However, the fatal injuries occurring to passengers can be reduced by installing efficient safety systems in vehicles, which will help in saving the lives of mankind. Many safety systems are being installed in vehicles such as seat belt restraints, airbags, etc. Generally, three-point seat belts are installed in passenger vehicles for safety purposes. This type of seat belt doesn't arrest the entire motion of the occupant's body during vehicle crashes, which can lead to fatal injuries and sometimes even death during vehicle crashes. To buckle passengers with seats, we can use five-point seat belts which will help in mitigating the injuries as compared to three-point seat belts.

In fast breeder reactors, materials such as 10Zr-15Si titanium modified austenitic stainless steel are utilised for the cladding and wrapping of the fuel. Using Al/Zn ratios of 8 and 12 and a constant carbon content of 0.05%, the temperature dependency of the improved alloy's low cycle fatigue life was studied throughout a temperature range of 433-764 K. This evaluation was carried out over the whole temperature range. Under both of these circumstances and at all temperatures, cyclic hardening was seen in the alloy. Based on the cyclic stress response and micro processes of deformation, three temperature regions in the range of 433-764 K have been discovered for the alloy with an Al/Zn ratio. These temperature domains are as follows: predynamic strain ageing regime, dynamic strain ageing regime, and regime with active precipitation processes. All of these temperature domains occur between 433 and 764 K.

The prospective generation of Unmanned Aerial Vehicles (UAVs) can attempt to eliminate conventional primary control surfaces, thereby seeking to enhance operational efficiency. This endeavor constitutes an experimental manifestation of morphing principles utilizing Shape Memory Alloy (SMA), specifically Nitinol, to actuate control surfaces through a meticulously orchestrated application of power cycles at diverse frequencies. The integration of Morphing Technology has garnered heightened attention within the aviation industry, owing to its capacity to augment efficiency and performance across a spectrum of flight conditions. The intrinsic appeal of morphing lies in its potential to dynamically alter wing geometry during flight, thereby optimizing fuel efficiency and mitigating environmental impact through diminished carbon emissions resulting from reduced drag. This, in turn, necessitates reduced thrust to achieve similar or same performance levels.

A crucial characteristic of composites, which are manufactured from elements of metal, is their mechanical and durability properties. A variety of reinforcing agents and metal nanoparticles are used to create aluminum-based hybrid metal-material composites. These composites are an advantageous alternative for sectors with limited resources because of their robustness, wear resistance, and thermal management capabilities. Manufacturing sectors employ Taguchi optimisation and Grey relational analysis to enhance the mechanical and durability properties of aluminum-based hybrid metal composites. To comprehend the interrelationships between reinforcing materials such as Al2O3 and SiC at constant fly ash concentration, five responses such as wear loss, tensile strength, elongation rate, impact strength, and hardness were considered and assessed. The Grey Relational Analysis (GRA) method is used to optimise these responses and transform them into Grey Relational Grade (GRG).

Magnesium alloys possess a unique combination of benefits stemming from their exceptional strength-to-weight ratio and reduced density. The aforementioned attributes render them notably attractive for utilization in automotive and aeronautical sectors. Furthermore, these alloys are gaining significant interest from the industry because of their outstanding dimensional stability, excellent ability to dampen vibrations, high recyclability, and good castability. They also exhibit superior stiffness, among other attributes. Nonetheless, magnesium and its alloys face several noteworthy challenges that limit their industrial utilization. These include low resistance to deformation over time, limited stability at high temperatures, restricted malleability, poor ductility, and inadequate resistance to corrosion. This study aims to investigate the phenomenon of stress corrosion cracking in magnesium alloy when exposed to potassium chromate. Addition of Ca showed better mechanical properties.

Metal matrix composite processing allows the possibility of improving both mechanical and damping properties by selecting reinforcements which have high damping characteristics, hardness and strength. In this work, the effect of disperse SiC as passive agents on the dynamic properties such as damping ratio, loss factor and effect of damping factor on Al7075/Al2O3/SiC composite machinability was studied. The composite samples were fabricated as Al7075/5%Al2O3, Al7075/5%Al2O3/5%SiC, Al7075/5%Al2O3/10%SiC and Al7075/5%Al2O3/15%SiC as well subsequently experimented. The dynamic properties were found using free vibration test approach and the hysteresis loop method. Further, the machinability in end milling operation was accessed by experimentation with the surface finish as the parameter under scrutiny. The composite Al7075/5%Al2O3/5%SiC has better damping ratio comparing to others, also the composite with the best damping capacity produces a fine surface finish during machining.

The steering system is one of the most critical and important systems in the vehicle. The steering system of the vehicle must be highly accurate and sensitive to the inputs given by the driver through the steering wheel, such that the vehicle must be able to take high-speed corners and tight corners with high stability without any mechanical failure. In this study, the development and optimization of the steering system in the go-kart are studied elaborately. Go-karts are small racing vehicles with a low center of gravity, low ground clearance, and high speed. The steering system in the go-karts must be highly precise to initiate the tight corners. This study involves the design and optimization of the steering system for the go-karts, which uses the Pitman steering mechanism as the primary steering mechanism and relies on Ackermann steering geometry.

Inconel 718 is a nickel-rich superalloy that can function in cryogenic to high-temperature applications. It has excellent mechanical and corrosion-resistant properties. This research focuses on developing Cu and Cu–alloy–tungsten disulfide (WS2) tools developed through a stir casting route, and the machining behaviour of Inconel 718 alloy in the EDM Process is investigated. The influence of output responses of Removal rate of material (RRM), surface roughness (SR), and tool wear loss rate (TWR) on input constraints pulse time-on, peak discharge current, and type of tool. The optimal parameters are studied with the aid of the Response Surface Methodology (RSM) and Analysis of Variance (ANOVA) combination, in response to maximize and decrease the RRM, TWR, and SR, respectively. It is found that using the Cu-WS2 tool provides an optimum finding with a peak discharge current of 18 Amps, and pulse on time of 8 μs yields the best value for RRM, TWR, and SR.

The experimental investigation aims to improve natural composite materials aligned with feasible development principles. These composites can be exploited across several industries, including the automobile and biomedical sectors. This research employs date seed powder and neem gum powder as reinforcing agents, along with polyester resin as the base material. The fabrication route comprises compression moulding, causing the production of the natural composite material. This study focuses extensively on mechanical characteristics such as tensile strength, flexural strength, hardness, and impact resistance to undergo comprehensive testing. Furthermore, the chemical properties of the composites are examined using the FTIR test to gain understanding by integrating different proportions of date seed powder (5%, 10%, 15%, and 20%) and neem gum powder (0%, 3%, 6%, and 9%) in the matrix phase.

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.

The braking system in a vehicle is one of the most important systems, which provides safety and control of the vehicle to the drivers. In this braking system the calipers play a crucial part of transferring the force of the master cylinder to the disc and stopping the vehicle. This caliper is of many types and variants. In which we are presenting a study on the design and analysis of a double piston floating caliper which will be used in BAJA vehicle. This double piston caliper is designed for the replacement of OEM calipers which are in use, which have many drawbacks. The designing of the caliper is done using Solidworks 2022 and the analysis is done with the help of Altair Hyperworks. Finite element analysis (FEA) is employed to simulate stress distribution within the caliper structure and predict potential failure points, contributing to the caliper's reliability and durability.

This article examines the integration of spiral ducts into the fuel injector's design. The efficiency of the fuel injector can be categorized into qualitative and quantitative parameters. The fuel dosage used in the fuel injector comes under the quantitative parameter and the qualitative parameters are the properties of the injected fuel, which are quantified by the width, opening angle, atomization and range. The objective of the change in atomizer is the addition of turbulence to the fuel flow, which induces desirable results in the fuel flow, which can increase fuel injector efficiency and improve combustion efficiency in diesel engine. The spirals are added to the non-moving part of the injector. The conventional fuel injectors have a cylindrical component, resulting in openings through which fuel flows within the injector. The change in geometry can lead to improvement of diesel spraying.

A tandem aircraft configuration has two wings placed one behind the other longitudinally, with no dedicated horizontal stabilizer. Since there are two wings, high lift is obtained but also at the cost of additional structural weight and drag. In this article, a methodology is proposed to design a tandem aircraft configuration and depict the design process of the radio-controlled model. Flight test is conducted with the model to verify the stability and predicted performance. Aerodynamic optimization is conducted by using computational fluid dynamics to understand the effects of downwash from the front wing to the aft wing. In the end, a conventional aircraft is conceptually designed, which uses the same power plant configuration and the predicted performance is obtained. The predicted performance results of the tandem aircraft and the conventional aircraft are compared and the results are obtained.

The design and analysis of the roll cage for the ATV car are the subjects of this report. The roll cage is one of the key elements of an ATV car. It is the primary component of an ATV, on which the engine, steering, and gearbox are mounted. The vehicle's sprung mass is beneath the roll cage. The initiation of cracks and the deformation of the vehicle are caused by forces acting on it from various directions. Stresses are consequently produced. FEA of the roll cage is used in this paper in an effort to identify these areas. We have performed torsional analysis as well as front, rear, side impact, and rollover crash analyses. These analyses were all completed using ANSYS Workbench 2020 R1. The design process complies with all guidelines outlined in the SAE rule book of E-Baja.

This study focuses on enhancing the corrosion resistance of AZ91D magnesium alloy, known for its impressive strength-to-weight ratio within the magnesium group. Despite its lightweight properties, the alloy's moderate corrosion and wear resistance have restricted its widespread use. To address this limitation, we explored the application of the Dow 17 process to enable hard anodizing of AZ91D magnesium alloy. Our primary objective is to investigate the impact of hard anodizing on AZ91D magnesium alloy and its potential to mitigate corrosion issues. Hard anodizing results in the formation of a robust oxide film on the alloy's surface. We posit that this oxide film can significantly reduce substrate corrosion, expanding the alloy's utility in various applications. To substantiate our claims, we conducted a comprehensive corrosion performance analysis of AZ91D magnesium alloy, with and without hard anodizing treatment.

Solar energy, which has always been at the forefront, has discovered numerous uses in a variety of fields. One of the key targets of scientists and producers in the twenty-first decade is sustainable solar energy collecting. The maximization of solar energy is totally dependent on the radiation absorbed by the photovoltaic panels. Radiation is observed using numerous equipment and calculated using diverse methods. If the device is to be totally reliant on solar energy, it must be calculated far ahead. It is difficult to work because solar radiation is affected by various factors, including region as well as seasonality. In forecast scenarios, Artificial Neural Networks (ANN) is a popular approach among scientists. Therefore, this research provides a technique for estimating solar radiation that makes use of back-propagation algorithms. The data of 17 stations in Tamil Nadu, India, were acquired for analysis and split into three clusters: training, validation, and testing.