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The present work compares the tribological properties of ZnO (Zinc Oxide) nanoparticle based lubricant with ZDDP (zinc dialkyl dithiophosphate) based lubricant. The nanolubricant was prepared by mixing the nanoparticles in base oil followed by ultrasonification and ZDDP based lubricant was prepared by mixing ZDDP and stirring with base oil. Base oil used was mineral base oil. Both the lubricants were tested at three different temperatures, loads and roughness values. The test was carried out on AISI 52100 steel samples prepared by wire cutting and were grinded to three different levels of surface roughness. Friction and wear tests were performed using a reciprocating sliding tribo-tester at three different loads and temperatures. Taguchi orthogonal array was used to reduce the number of experiments. SEM, EDS and AFM analysis were carried out to study the surface wear phenomenon.

In the fabrication of parts in auto and aero segments, the use of ceramic (SiCp, Al2O3p) reinforces aluminum alloy found to be increased than that of steel and cast iron. This matrix-reinforced alloy has a high strength to weight ratio along with higher modulus and hardness, the lower thermal coefficient of expansion, and improved tribological properties. To this extent, this paper investigates the turning characteristics and optimization study of newly developed metal matrix composites by the addition of both hard ceramic SiCp and soft stable lubricant molybdenum disulfide (MoS2p). The samples such as Sample 1: AlSi10Mg/3SiCp, Sample 2: AlSi10Mg/2MoS2p and Sample 3: AlSi10Mg/3SiCp /2MoS2p are prepared using the automated stir-casting machine. The particles are observed to be uniformly distributed in the composite. After density and hardness measurement, the samples are subjected to machining, and the responses are optimized by using response surface method.

Design and simulation analysis of braking system for ATV is carried out with the assistance of Ansys and MATLAB. Heat generated increases the temperature of the disc brake at the rubbing surface resulting in thermal stresses in the components of the braking system. Static, structural, thermal, computational flow dynamics, vibrational & fatigue behavior of ventilated brake disc rotor, hub and upright are analyzed. Stainless Steel, SS-410 material configuration has been considered for disc brake rotor and results obtained are analyzed in terms of performance, longevity and efficiency. Braking efficiency and stopping distance curve are analyzed from their characteristics plot. Vibrational behavior, structural behavior, thermal behavior, performance efficiency, flow behavior of ventilated disc brake rotor can be easily depicted with respect to bump and droop during acceleration, high climb and maneuverability. Ventilated disc brake Rotor with outer diameter of 220 mm is used.

Considerable weight of an automobile is constituted by the engine and there is scope for improvement in fuel efficiency and emission control through optimization of weight in the engine. In this work, AlSi10Mg alloy produced by the direct metal laser sintering (DMLS) is suggested for engine application which is a lightweight aluminum alloy. Mechanical properties like tensile strength, compressive strength, and hardness of both cast and DMLS manufactured alloy are compared followed by analysis of SEM images of tensile test fractured surfaces. Reciprocating wear test is carried out for one lakh cycles at 125°C temperature with SAE 40 grade oil as lubricant. Co-efficient of friction (COF), wear rate of the cast and DMLS manufactured samples are compared. Wear patterns are analyzed using SEM images of the wear tracks.

A shock absorber endurance test for an automobile that was supposed to resist at least 200,000 load cycles but failed to meet the statutory fatigue limit was under examination. This is due to the breakdown of the assembly that holds the shock absorber shims. This failure occurred due to Fretting fatigue. A design improvement is being introduced to avoid fretting fatigue on the shock absorber shim assembly. FEA is used to investigate the shim assembly in order to locate the stress zone. After adding more shims to the piston, fatigue life was significantly improved. The damping forces were unaffected by the fundamental solution that was applied to make this improvement.

Suspension system of a vehicle plays an important role to carefully control motion of the wheel throughout the travel. The vertical and the lateral dynamics (ride and handling) is affected by the unsprung-to-sprung mass ratio. Lower value of this mass ratio leads to enhanced performance of the car. To optimize the unsprung mass of the car, design of control arm plate is optimized with Aluminum material and Carbon fibre reinforced composite control arms framework are used to achieve high stiffness to weight ratio. These leads to increase in overall power to weight ratio of the car which helps to deliver maximum performance to the wheels. Through analysis of real-life working conditions of the entire steering knuckle assembly in ACP pre- post ANSYS 18.1 with the defined boundary conditions, equivalent stress and total deformations are obtained. Based on the results, geometrical topology of the control arms plates is further optimized.

The drastic technological advancements in the field of autonomous vehicles and connected cars lead to substantial progression in the commercial values of automobile industries. However, these advancements force the Original Equipment Manufacturers (OEMs) to shift from feedback-based reactive business analysis to operational-data based predictive analysis thereby enhancing both the customer satisfaction as well as business opportunities. The operational data is nothing but the parameters obtained from several parts of an automobile during its operation such as, temperature in radiator, viscosity of the engine oil and force applied over the brake disk. These operational data are gathered using several sensors implanted in different parts of an automobile and are continuously transmitted to backend computers to develop Digital Twin, which is a virtual model of the physical automobile.

A Formula Student race car is a car designed and manufactured for speed, performance, and competition. For a car to have high speed and performance, their parts also need to be lighter with being able to sustain the dynamically occurring stresses. Effective braking is a crucial factor which determines the performance of the car. This paper focuses on designing a brake caliper on the basis of calculations done with respect to a Formula Student race car, selecting a material which is of low density but with higher strength which can be easily manufactured with low cost and analyzing the design. Further, the manufactured part is also tested statically to ensure proper working before being tested on an actual formula student race car. The caliper is again tested dynamically, where the caliper is mounted on rear wheels of the car. To ensure proper working, brake pressure sensors are being mounted which also helps to validate the calculations.

This paper describes the design of a novel pneumatic gear shifting system to replace the existing gear stick manual shifting system for ease of the driver while shifting gears. The aim of this work is to have a semi-automatic shifting (pneumatic shifting) removing the need for the driver clutch operation. The system consists of a solenoid valve, CO2 gas-pressurized cylinder, double-acting cylinder, and single-acting cylinder. On basis of the signal received the gear needs to be changed, the shifter opens or closes a magnetic valve assembly. The solenoid valve allows the compressed air into the piston that comes from a pressurized cylinder, in order to create the effect of shifting gears. The pedal shifter and buttons are used to shift the gears. The pedal shifter was designed by using a 3-D printing technique using PLA material. The microcontroller used is ATMEGA-328 in this system. There are three switches, one for upshift, downshift, and clutch respectively.

The final drivetrain ratio is an essential part of a vehicle. It is responsible for providing the desired torque to overcome obstacles while maintaining the speed and acceleration of a vehicle. A vehicle must have an optimum gear ratio to obtain the desired velocity and acceleration. To achieve this, four different approaches were used considering the input parameters of a BAJA All-Terrain Vehicle (ATV). The traction received from the ground is calculated and plotted against velocity on different terrains. Further, a drivetrain was modeled in Simulink to obtain different parameters like vehicle speed, acceleration, and wheel slip. A range of gear ratios was obtained by following a similar trend of vehicle parameters that were best suited for improving vehicle performance. Graphs were plotted to compare the effect of various vehicle parameters, and an optimum gear ratio was obtained.

Permanent magnet brushed DC (PMBDC) motors are mostly preferred in many automotive applications because of better power density and easier control. Five different automotive applications such as electric parking brake (EPB), power seat, power window, sunroof drive, and tire air pump are chosen and discussed in this paper. A step-by-step electromagnetic analysis is carried out for all the designed models. Low-cost ferrite-based magnets are used for cost reduction keeping the efficiency as high above 77% in all the models. Comparison on performance and cost are discussed in the conclusion section.

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.

In the present paper, to predict the process relation between laser-assisted machining parameters and machinability characteristics, statistical models are formulated by employing surface response methodology along with artificial neural network. Machining parameters such as speed of cut; the rate of feed; along with the power of laser are taken as model input variables. For developing confidence limit in collected raw experimental data, the full factorial experimental design was applied to cutting force; surface roughness; along with flank wear. Response surface method (RSM) with the least square method is used to develop the theoretical equation. Furthermore, artificial neural network method has been done to model the laser-assisted machining process. Then, both the models (RSM and ANN) are compared for accuracy regarding root mean square error (RMSE); model predicted error (MPE) along with the coefficient of determination (R2).

In recent years, aluminum metal matrix composites (Al-MMC) are found as a potential material for numerous applications owing to its excellent tribological and mechanical properties. In this work, the machining characteristics of aluminum alloy (Al7075) reinforced with TiC/MoS2 having nanoparticle has been studied. The samples of aluminum metal matrix composites by varying TiC in 0, 2 and 4 and MoS2 in 0 and 2 of the percentage weight of aluminum alloy (Composite 1(Al7075), Composite 2 (Al7075/2TiC/2MoS2) and composite 3 (Al7075/4TiC/2MoS2), respectively) are fabricated by the stir-casing method. The turning characteristics of the developed metal matrix composites are studied at various parameters such as cutting velocity (30 m/min, 60 m/min and 90 m/min), cutting depth (0.5 mm, 1.0 mm and 1.5 mm) and composites (1, 2 and 3) using TiN coated cutting tool by dry turning at 0.05 mm/rev feed rate.

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.

Nickel based materials of Nimonic C-263 and Waspaloy are used nowadays for aerospace applications owing to its superior strength properties that are maintained at a higher temperature. Tool wear and cutting temperature in the vicinity of cutting edge are two essential machinability characteristics for any cutting tool. In this regard, this study is pursued to examine the influence of factors on measuring of tool wear (Vba) and cutting temperature (Ts) during dry machining of two alloys studied experimentally based on Taguchi method and response surface methodology. Taguchi’s L16 orthogonal array is used to design the experiment and a PVD (TiAlN), CVD (TiN/Al2O3/TiCN) coated carbide inserts are used on turning of two alloys. The factor effect on output responses are studied using analysis of variance, empirical models, and responses surface 3D plots. To minimize the response and to convert into one single optimum level, responses surface desirability function approach is applied.

Composites materials are substituting constituents for traditional materials due to their remarkable properties, and the addition of nanoparticles gives a new development in the material domain. The nanoparticles influence on fabrication and machinability investigation study is essential as the composites to be used in applications like automotive and aerospace. The current study investigates the machinability characteristics of Al2219 based metal composites reinforced with nanoparticles of SiN/MoS2. Al2219- reinforcements (SiN and MoS2) composites are fabricated by the method of stir casting. Four different compositions (Al2219/SiN (2 wt% and 4 wt%), , Al2219/2 wt.% SiN/ 2 wt.% MoS2, Al2219/2 wt.% MoS2) are fabricated by varying the different weight percentages of nanoparticles reinforcements. An attempt is made to study the investigation analysis of force, surface roughness, and tool wear using CNC machine lathe to consider the effect of cutting speed, cutting depth, and samples.

The aim of this paper is to demonstrate the methodology to simulate the induced stresses/strains due to thermo-mechanical loading of automobile brake drum.. The brake drum undergoes mechanical load due to applied brake pressure and thermal load due to friction generated between brake pad and brake drum while brake is applied. This coupled thermo-mechanical loading affects the life of the brake drum as the stiffness of the brake drum is reduced. The conventional method of simulating this problem is done using Lagrangian discretization in which the load is applied and inertia effect due to angular velocity is applied to a drum at static condition. In contrast, in this paper Eulerian discretization is adopted for finite element analysis, in which drum brake model is discretized as spatially dependent that facilitates actual rotation of brake drum with simultaneous application of brake load resulting more precise simulation.

Turning is a widely used manufacturing process in mechanical machining industries, while the cost associated with this process is high due to the cost involved in changing tools or tool regrinding. All the parameters of turning, like feed rate, cutting speed, and depth of cut, substantially impact the tool wear, which subsequently reduces tool life. Cooling methods like flooding, Minimum Quantity Lubrication (MQL), etc., are incorporated to minimise these effects on the tool and workpiece interface. When using these cooling techniques, the process parameters involved play vital roles in increasing the effectiveness. This paper focuses on the effects of machining parameters on the tool and the workpiece quality. Experiments were conducted to study the impact of various input parameters of the turning process on the tool tip temperature, cutting forces, and tool wear, ultimately affecting the tool's life.

Inconel 718 has excellent material properties, corrosion, and oxidation property among the nickel based superalloy. This property makes it suitable for producing components operating under extreme environments subjected to pressure and heat. The present study aims to examine the machinability comparison under dry and MQL turning of Inconel 718. The secondary aim is to report the sustainable machining on Inconel 718. Dry and MQL (Minimum Quantity Lubrication) experiments are carried out on Inconel 718 alloy based on Taguchi’s designed L16 orthogonal array. The cutting tools are an advanced coated cutting tool and uncoated tool. The levels of turning parameters are varied at 70, 120, 170 and 220 m/min of turning speed, 0.1, 0.15, 0.2 and 0.25 mm/rev of feed rate and 0.3, 0.4, 0.5 and 0.6 mm of cutting depth. The cutting forces, surface roughness, flank wear, and chip morphology are taken for the current investigation. The factor effect on output responses is studied using 2D plots.