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Wire Electrical Discharge Machining (WEDM) is a contemporary approach of material removal which is conceived from the concept of Electrical Discharge Machining process. Wire Spark Erosion Machining which is known as WEDM, predominantly employed for removing material from hard materials and also especially used for making intricate shapes on any electrically conductive work material with irrespective of the hardness. Composite materials offers improved mechanical properties depends upon the constituents to be added. Graphene is identified as outstanding reinforcing element which provide support to enhance the desired properties of aluminium metal matrix composites in a considerable manner. In this present exploration an analysis has been performed on WEDM of Al-GNP composites. Pulse on time (μs), pulse off time (μs) and servo voltage (V) are deemed as input process parameters in this present exploration.

The advanced lifestyle demands materials that are light and robust, and aluminum and its alloys are commonly used in various engineering components due to their exceptional properties such as light weight, enhanced strength, and being economically affordable. Due to their superior mechanical properties, such as strength and flexibility, are commonly used in various industrial applications. Metal Matrix Composites (MMCs) are very essential materials used in several applications as they are more robust and harder than any conventional material. In this study, a metal matrix composite made of aluminum and Boron Nitride (BN) is investigated to analyze its various properties. The study is performed by using Wire Electrical Discharge Machining (WEDM). The three independent parameters of the composite are its pulse on time, peak current, and pulse off time. The study aims to analyze the effects of various process variables on the desired performance of the metal matrix composite.

Modern automobile applications such as petrol, diesel, and gaseous fuel injection system use dissimilar Inconel 718 (IN718) and Stainless Steel 304 (SS 304) joints. IN 718 is a precipitation-hardened austenitic nickel-based superalloy with exceptional qualities such as high strength, resistance to corrosion, greater toughness, as well as resistance to thermal induced fatigue at elevated temperatures (between 150 and 1500oC), while SS 304 is a T 300 Series austenitic stainless steel alloy that can be used successfully in wide range of applications due to greater resistance to corrosion, good high and low temperature strength and ductility with excellent weld ability and formability. To get a better understanding of the mechanical characteristics of these heterogeneous weldments, these alloy joints were created using laser beam welding, one of the most modern joining techniques for high-strength materials.

Stainless Steel 304 (SS304) is a nickel–chromium–based alloy that is regularly used in valves, refrigeration components, evaporators, and cryogenic containers due to its greater corrosion resistance, high ductility, and non-magnetic properties, as well as good weldability and formability. Multiple regression analysis was used to establish empirical relationships between process variables. Additionally, the established regression equations are employed to predict and compare experimental data. Due to the increasing demands for high-quality surface finishes and complex geometries, traditional methods are being replaced by non-conventional techniques such as wire EDM. This process, which emerged from the electrical discharge machining concept, mainly involves creating intricate components. WEDM results in a high degree of precision and excellent surface quality. Due to the complexity of WEDM, the processing parameters cannot be selected by using the trial-and-error method.

Inconel 718 is a superalloy made from nickel that has exceptional mechanical properties. It has been widely used in the manufacturing of various components such as nuclear and aerospace aircraft. Due to its exceptional corrosion resistance, this material can be utilized in various environments. Due to the increasing number of challenges that come with conventional methods of welding, the use of advanced techniques has been developed to produce better and sound quality joints. One of these is Laser Beam Welding (LBW) technique. This method utilizes a high-intensity beam to create a better and more quality weld joints with improved mechanical properties. This study aims to develop multiple regression models that can be used to analyze the performance of laser beam welding on Inconel 718 alloy joints.

Laser Beam Welding (LBW) is one of the advanced methods of joining metals by fusion. The LBW process exhibits comparatively better welding performance than conventional processes and this method of welding approach is exclusively employed in higher volume applications such as automotive industries. One of the most common nickel alloys used in various engineering fields is Inconel 718. This material has high strength and corrosion resistance properties, and is commonly used in high-temperature applications, such as gas turbines and rocket engines. In this study, we aim to develop an artificial intelligence tool that can analyze the influence of various process variables on the design and performance of a metal. The experiments were planned using the design approach of Taguchi. An L27 orthogonal array was used for the experiments. The three performance measures are the top width, bottom width, and penetration.

The numerous applications and desirable attributes of Monel 400 urge many researchers to undertake multiple systematic evaluation studies for diverse manufacturing operations. Because of their exceptional mechanical qualities and great corrosion resistance, nickel-based alloys, particularly Monel 400, are increasing in popularity in a variety of applications. Because of their tendency for rapid work hardening and low thermal conductivity, these materials are particularly difficult to machine using traditional manufacturing techniques. Advanced material removal methodologies have been applied to eliminate such drawbacks and are regarded as a suitable alternative approach to traditional machining processes. Based on the Electrical Discharge Machining technique, Wire Electrical Discharge Machining was developed, which a sophisticated machining technology is used to machine hard materials with complex forms in any electrically conducting materials.

Aluminium alloys are attracting importance in various engineering industries because of their exceptional characteristics such as strength, resistance to oxidation etc., AA5052 is an alloy that categorized under Al-Mg series, commonly adopted in anti-rust applications, especially for desalination applications because of its good corrosion resistance in seawater at temperatures up to 125°C, low cost, good thermal conductivity, and non-toxicity of its corrosion products. Minimum Quantity Lubrication (MQL) is one of the approaches that are economically affordable and also eco-friendly used in various machining operations. This present exploration details the investigation CNC turning of AA5052 alloy with conventional Tungsten Carbide (WC) tool inserts under MQL conditions. There are two different natural cutting fluids were engaged such as live oil and coconut oil.

In view of the improvements in manufacturing sectors, which are an important component of any economy’s growth, there is a significant need for new and advanced materials, particularly alloy materials need to be analysed and investigated so that new technologies may be effectively utilized. Materials with low weight and high strength, such as aluminium alloys, are recommended for a variety of applications that require both strength and corrosion resistance, such as marine applications and high-temperature applications. Aluminium alloy Al 5052, a nonferrous material with outstanding properties is an Al-Mg alloy with high thermal conductivity and corrosion products that are non-toxic. Minimum Quantity Lubrication (MQL) is a cost-effective and environmentally friendly method of lubrication employed in a variety of machining processes. The investigation of CNC milling of AA5052 alloy with standard Tungsten Carbide (WC) tool inserts with MQL settings are detailed in this paper.

The alloy investigated in this research is Precipitation Hardened Stainless Steel (PHSS) 15-5, which provides good corrosion, high strength and hardness. 15-5 Stainless Steel is extensively employed in a variety of applications, including aero plane components, high-pressure corrosive environments that include valves, fasteners, shafts, fittings and gears. In this current exploration, an analysis of the machinability of PHSS is analyzed with textured inserts and the outcomes as compared to conventional inserts. To increase the machinability conditions, two distinct types of textures were produced on the rake face of the tool inserts and employed for this machining procedure utilizing a Wire Electric Discharge Machine (WEDM).The dimensions of the textures were cut on the trial-and-error method. Three different machining parameters with three different levels were chosen. Cutting Speed, feed rate and depth of cut were chosen as the input parameters.

Recently, owing to the noteworthy properties like biodegradable, low cost, readily available, easy processing, less toxic and eco-friendly nature natural fibers reinforced composites are used in different engineering applications. Nevertheless, the traditionally used synthetic E-glass fiber composite shows inverse features than that of reported natural fiber composites. Hence, in the current investigation discarded areca and tamarind fibers was collected, extracted and characterized for its overall performance and to implement it as a better alternative for artificial fiber composites. Composite coupons were made with different magnitudes of fiber/matrix and inspected for their potentiality by exploring its mechanical and thermal assets as per standard techniques. The developed areca and tamarind hybrid composite results shown better part than their individual composites and also in par with the prevailing synthetic fiber products.

In today's world, there is an increasing emphasis on the responsible use of fiber reinforced materials in the automobile applications, construction of buildings, machinery, and appliances as these materials are effectively reused, recycled, or disposed with minimum impact on the environment. As such, it has become mandatory to incorporate sustainable, environmental friendly and green concepts in the development of new materials and processes. The primary objective of this study is to manufacture composites using fibers obtained from Thespesia Lampas plants, which are known for their soft, long fibers that are commonly used in various domestic products. The composites are made by combining these fibers with a general purpose polyisocyanurate resin, and their potential applications in both domestic and commercial products are explored. To evaluate the properties of these composites, tests are conducted for tensile strength, flexure, and water absorption.

Titanium alloys are deemed as one amongst the light weight material most preferably adopted in numerous engineering applications due to its exceptional features such as corrosive resistance and thermal strength. These alloys are predominantly used in components of IC engines such as valves and springs, connecting rods. Especially Ti-Grade 5 adopted in aircraft, automobile parts ski plates and bicycles. The preliminary goal of this present research is to optimize the machining variables for Wire Electrical Discharge Machining (WEDM) of Ti-6Al-4V (Grade 5) to accomplish improved rate of material removal and surface finish. Taguchi’s design and analysis method was chosen for devising and examining the experiments by considering input factors (pulse duration and current). An L9 OA was utilized for experimentation to analyze the various output variables, such as surface finish and material removal rate, using the response analysis of Taguchi.

Due to their various features, aluminum alloy can be used in various applications. These include aerospace, automotive, and electrical and thermal applications. Compared to structural steels, aluminum offers superior corrosion resistance and specific strength. Aluminum alloy known as AA 2014 exhibits various mechanical properties. These include its improved strength and weight ratio. It can also be used in military and aircraft applications. Aluminum alloy is commonly used in various engineering applications, such as the manufacturing of structures and aircraft components. Due to its corrosion resistance, it can be utilized in severe environmental environments. Different methods are used in unconventional ways to generate complicated forms of electrical components. One of these is wire electro-discharge machine (WEDM). This process involves making intricate shapes out of conductive materials.

Precipitation Hardened Stainless Steel (PHSS) is one of the martensitic steels that possess exceptional strength and corrosion resistance. Because of its characteristics, this PHSS is exclusively adopted in numerous engineering uses such as nuclear, chemical and marine industries. Welding is one of the important methods of joining that helps to make weldments with better performance characteristics. Corrosion behaviour is one of the important characteristics that contribute hugely to marine and other corrosion-related environments and also this is the most common problem for most of the manufacturing industries. The goal of this study was to analyze the PHSS weldments’ corrosive behavior and compare it with that of the two commonly used welding processes, namely MIG and TIG. The corrosive properties of the weldments were evaluated using various mediums, such as nitric acid, ferric chloride, and Oxalic acid.

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.

Superalloys, also known as nickel alloys, are widely employed in a wide variety of engineering applications, including the creation of parts for the chemical processing industry and appliances for the food processing industry. Their high heat conductivity and strength, among other characteristics, make them challenging to machine using traditional techniques. Instead, cutting-edge techniques are typically created for the milling of such tougher materials. In this study, we use a modern method called wire electrical discharge machining, which is typically used for working with tougher materials. In order to anticipate WEDM variables, this paper aims to create a Grey-based Artificial Neural Network (ANN) Model and Adaptive Neuro Fuzzy Inference System. The paper uses a Taguchi method to investigate the model’s varying inputs. The purpose of this model is to visualize the process’s varying performance characteristics.

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.

Wire Electrical Discharge Machining (WEDM) is a variant of the electrical discharge machining (EDM) process, which represents an innovative method for the removal of material from a workpiece. The aforementioned process is frequently employed for the machining of harder materials that possess intricate geometries. Titanium alloys are a class of lightweight materials that find extensive utilization in many technical applications. Titanium Grade-5 is a titanium-based alloy that exhibits enhanced mechanical strength and improved resistance to corrosion. The objective of this exploratory analysis is to establish empirical correlations between the selected input variables, namely ‘Pulse on,’ ‘Pulse off,’ and peak current, and the desired output measures, which are material removal rate and surface roughness. The experimental design employed the Taguchi method to effectively organize the combination of tests by considering input factors.

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.