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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.

Low-dimensional materials are essential in optoelectronic, electrical, and contemporary photonics areas because of their specific properties with decreased dimensions. Low-dimensional materials are those with dimensions in the nanoscale range that are between 1 and 100 nm. Halide perovskites of low dimension can be produced inexpensively using solution-processable procedures, unlike usual semiconductor nanomaterials. Since halide perovskite in thin layers may be produced utilizing a variety of solution-based techniques like simple spin coating. It is possible to produce it with a variety of compositions using low-cost, simple, and large-scale procedures. Quantum dots, perovskite nanoplatelets, nanosheets, perovskite nanorods or nanowires, and other low-dimensional perovskites are all examples of such small-dimensional devices that have been created in a range of morphologies (two-dimensional).

The sun has tremendous potential to address the world’s increasing energy needs, but the increased cost of employing lunar power is a considerable hurdle when equated to more conventional energy sources. The low energy density and low conversion efficiency of solar radiation, expensive raw materials, and labor-intensive manufacturing process all contribute to the high cost of a photovoltaic system. In the last ten years, advances in nano science and nanotechnology have opened up new possibilities for the creation of effective solar cells. Designing semiconductor, metal, and polymer nanostructure designs for solar cells has become possible. Understanding the methods involved in the photovoltaic energy conversion like optical and electrical process, has also benefited from theoretical and modelling studies. The high price and insufficient efficiency of current solar cells prevent the widespread usage of solar energy.

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.

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.

Excellent charge-carrier mobilities and life time of perovskite materials enables it with exceptional light absorption capacity. This provides improved device potential and performance with low-cost commercially feasible technology. The challenges towards handling the perovskite cells are its strength and its environmentally compatible property. Resolving these issues leads perovskite-based technology to hold an innovative potential for quick terawatt-scale solar power distribution. In this line, Organic Photovoltaic is a fast developing PV technology with improved the cell efficiency and life time performance. As organic Photovoltaic cell is available in mulit-colours and can be used to build transparent devices, it finds its application in building-integrated Organic Photovoltaic fair. Optimization of device physics, charge-transport methods, charge-separation procedures, and interfacial effects, would enable the development of stable, more effective device architectures.

Photonic crystals are materials for controlling and manipulating the light flow. Nano photonic devices deal with behavior of the light in the nanomaterial and devices. It works on the interaction of nano devices with light. They are periodic structures with different refractive indices. The wave guides can be constructed will have sharp and low-loss bending enabling high integration density of several orders of magnitude. On silicon surfaces, nano- and microstructures are created to lower reflection and increase light absorption. It can be applied to enhance infrared (IR) bolometer applications based on MEMS. In this work Silicon nanowires photonic crystals are grown and the electric characteristics and frequency characteristics are modeled, simulated and studied using finite element method. Waveguide is created by removing a set of wires making a path for signal flow for the frequency within the band gap.

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.

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.

Considering the advancements in manufacturing industries, which are crucial for economic growth, there is a substantial demand for exploration and analysis of advanced materials, especially alloy materials, to enable efficient utilization of new technologies. Lightweight and high-strength materials, like aluminium alloys, are highly recommended for various applications that necessitate both strength and resistance to corrosion, such as automobile, marine and high-temperature applications. Therefore, there is a significant need to investigate and analyse these materials to facilitate their effective application in manufacturing sectors. This study investigates the machinability of drilling AA6061 using a micro-textured tool and proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) model for investigating the machinability of drilling AA6061 aluminium alloy with a micro-textured uncoated tool.

Composites made of aluminium and other materials are now essential materials for a variety of engineering tasks, including those in the automotive industry. The present work reports on the machinability studies of Al 6061 hybrid metal matrix composites (HMMC). For the investigation, Al6061 alloy is reinforced with Boron carbide and Graphene nanoparticles (GNp) and the hybrid composite was prepared by stir casting under suitable conditions. The Electrical discharge machining (EDM), advanced machining process, was chosen to machine HMMC as it is difficult to machine by conventional machining. EDM machinablity studies were done on stir casted Al-B4C-GNP composites. The optimization of EDM process parameters were carried out using L27 orthogonal approach with input parameters such as pulse on time, pulse off time and peak current for the response of material removal rate (MRR) and surface roughness.