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The energy demand of the world is keep increasing, major share of the demand is compensated by non-renewable fossil fuels. Automotive sector consumes a huge amount of fossil fuels, as majority of the segment use internal combustion as a prime mover. In the present era researches are carried to figure out the suitable replacements for fossil fuels to attain sustainable environment. One of the major challenge and keen interest of everyone is on waste management, several researches are aimed to bridge the gap between energy demand and waste management. In such way biofuels came into limelight a decade ago, still numerous works are carried in the area for creating socio economic friendly environment. Enormous studies have been carried out to assess their performance in the internal combustion engines, here in the present study performance of the working material against the biodiesel is studied.

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.

Friction Stir Welding (FSW) is a widely used solid state welding process in which its heats metal to the below recrystallization temperature due to frictional force. FSW mostly avoids welding defects like hot cracking and porosity which are mainly occur in conventional welding techniques. In this process the combination of frictional force and the mechanical work provide heating the base metal to get defect free weld joints. Aluminium Alloys 2014 and 6061 are generally used in a wide range of automobile applications like Engine valves and tie rod, shipbuilding, and aerospace due to their high corrosion resistance, lightweight, and good mechanical properties. In the present work, aluminium alloys of AA6061 and AA2014 were effectively welded by friction stir welding technique. The tool rotational speed, travel speed, and tool profile are the important parameters in FSW process. High Speed Steel (HSS) tool with Hexagonal profile is used for this joining.

The 3D printing technology is an Additive Manufacturing process which is capable of producing the complex shapes. At present there is no other technologies integrating the 3D printing and the CNC machine, thus we adapting a new design of 3D printing setup for CNC machine with some special feature as extruder, it is based on the Fusion Deposition Modelling (FDM) process with the help of the parts like Extruder, Heat Bed, Arduino boards where we are going to design a head of the printer which is to be attached with the BT40 commonly used Tool holder for the CNC milling machines. This extruder plays a vital role in this CNC milling machine for producing 3D printed components of different material and different colour. And this setup is capable of printing high resolution and complex shapes with different material and different colour by means of the heated filament. The post processing process like milling and surface finish can also be done by the CNC Machine.

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. In order 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.

In this work, Flash butt welding process was completely studied and the parameters for improvement of productivity were established with the help of flash butt welding machine. This work tries to confirm that an exploratory type of research is mostly preferred and analysis has to be done to achieve the end output. Quality affirmation and cost of value are the two significant variables that influence the efficiency of flash butt welding. To accomplish excellent quality and less cost of value different components that impact the welded joint and procedure are considered and comprehended. As commitment towards this point, an examination was done in the flash butt welding system. One of the fundamental goal of this investigation was to build up the imperfection free parameters. This was done initially by studying the different defects that occur in flash butt welded joints.

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.

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.

Magnesium alloy, known for its high strength and lightweight properties, finds widespread utilization in various technical applications. Aerospace applications, such as fuselages and steering columns, are well-suited for their utilization. These materials are frequently employed in automotive components, such as steering wheels and fuel tank lids, due to their notable corrosion resistance. The performance of magnesium alloy components remains unimproved by normal manufacturing methods due to the inherent characteristics of the material. This work introduces a contemporary approach to fabricating complex geometries through the utilization of Wire-Electro Discharge Machining (WEDM). The material utilized in this study was magnesium alloy. The investigation also considered the input parameters associated with the Wire Electrical Discharge Machining (WEDM) process, specifically the pulse duration and peak current.

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.

Monel 400, a type of nickel alloy which is adopted in numerous engineering fields, such as high-temperature devices. Owing to its better strength and thermal diffusion, it can be difficult to machine with conventional methods. In order to avoid the disadvantages of conventional methods, various advanced material removal techniques have been developed. One of these is Wire Electro Discharge Machining (WEDM). This process is an evolution of the electrical discharge method. In the process of WEDM, difficult materials with intricate forms are usually machined. In this study, the performance of this method on Monel 400 has been analyzed. The three independent variables that are considered when it comes to analyzing the performance of this process are the pulse on, the applied current, and the pulse off. The experiments were performed using the design approach of Taguchi, which involves using an L27 orthogonal array.

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.

The surface properties have a vital role in the overall performance of the parts like brake shoe pad and other frame system. The mechanical and residual stress measurements of aluminium alloy 5083 were investigated on friction stir processed plates using the reinforcements of chromium oxide (Cr2O3) and titanium dioxide (TiO2) separately as well as combination of these powders. A comparative study was made to analyze the effects of reinforcements, tool type (cylindrical and threaded), parameters and the volume fraction of the reinforcements. The mechanical properties such as surface hardness and residual stress of the friction stir processed specimens were investigated. The experimental results shows that there was a significant increase in surface hardness (118 HRC) as well as a decrease in residual stress compare to the base metal. This study also reveals that the threaded tool with a reinforcement of Cr2O3 and TiO2 reflected better mechanical properties than the cylindrical tool.

One of the most common types of lightweight materials used in aerospace is magnesium alloy. It has a high strength-to-weight ratio and is ideal for various applications. Due to its corrosion resistance, it is commonly used to manufacture of fuselages. Unfortunately, the conventional methods of metal cutting fail to improve the performance of magnesium alloy. One amongst the most common methods used for making intricate shapes in harder materials is through Wire-Electro-Discharge (WEDM). In this study, we have used magnesium alloy as the work material. The independent factors were selected as pulse duration and peak current. The output parameters of the process are the Surface Roughness (SR) and the Material Removal Rate (MRR). Through a single aspect optimization technique, Taguchi was able to identify the optimal combination that would improve the effectiveness of the WEDM process.