Vehicles and aviation applications require materials that have adjusted mechanical and tribological properties. It is truly challenging to accomplish these altered properties in any mono-lithic material. Aluminum compounds are the most taken advantage of materials in different fields of applica-tions including Automobiles and aviation because of a portion of its fundamental properties.

The Al 6061 alloy has been used as matrix material while % wt of cobalt is fixed at 3% while silicon carbide altered from 0% to 3% have been used as reinforcement materials.

The center target to examine the impact of air erosion conditions on wear pace of devel-oped MMCs of SiC and Co powder filled Al 6061 Composites. In the current work, the alu-minium based metal framework composites have been manufactured. It was uncovered that MMC with 3%wt of SiC, 3%wt of Co showed brilliant mechanical properties among the all manufactured metal framework composites.

In the year 2020, we all experienced COVID pandemic which had affected our lives and health. When one comes into contact with infectious virus such as COVID, SARS etc., it makes us sick. Most of the time hands are contaminated with infectious viruses through touch and contact. To keep away from contamination, hands ought to be washed or cleaned consistently, as per WHO rules. Therefore, in this paper, an attempt has been made in this direction to create such a robotic platform that will do the work of sanitization on its own without human interaction with the help of UV light and also represent the design and development of a smart sanitising robot, which has been studied with the help of the process of sanitization, which can reduce the risk of human exposure to the virus. This is an open platform for disinfecting single plant conditions like workplaces, houses, and offices, among others.

Piezoelectric functionally graded hollow disc are highly used materials. It is used in making smart devices like car hinges, drone, micro electro mechanical devices. Shear induced eigen frequency is very less utilized because it has very difficulty to alalysis. For utlize the application of functionally graded piezoelectric materials in this work shear vibration of the functionally graded disc has been obtaining by producing d₁₅ effect. d₁₅ has higher coupling coefficient than d₃₃ and d₃₁ coupling coefficient so it can be utilizing to exited shear vibrations in the hollow FGPM round disc. Effect on eigen frequency of FGPM round disk has been obtained for varing the valuve of power law index. Material property of the functionally graded disc vary along the thickness by helping power law. Disc is radially polarized and electric field is applied along the thickness

Man is a one-of-a-kind creation that only God could have made. They are an invaluable asset to the human body, with each component serving a purpose that is distinct from the others. Because of the significant impact that they have on a person's day-to-day and professional activities, a person's fingers, lower arm, and forearm are the body parts that should be preserved following an amputation the most. The primary goal of this bionic arm is to regain fundamental control of the hand at a price that will enable amputees with limited financial resources to purchase a bionic arm. This technology is utilized in the production of many of the artificial arms  that are currently available for purchase around the world; however, these arms come at a very high cost. This study demonstrates the design, manufacturing, and functioning of a 3-D printed prosthetic hand that employs an electromyography (EMG) sensor in order to imitate the fundamental motions that are carried out by human hands (holding an object, lifting an object, shutting and opening fingers).

While travelling, it is common for people to drain their batteries quickly. Outside, there is no way to power a device like a phone or computer. A green energy system with a dual power generator using solar and wind energy to charge mobile phones is the answer to this predicament. To avoid theft or tampering with the charging station, this system has an anti-theft mechanism. This system is fitted with four wheels for ease of movement. It can easily be used near a bus stop, garden, historical monuments, college campus, etc. This article provides an idea of the characteristics of portable and fixed mobile charging stations powered by renewable energy sources.

In essence, the Internet of Things (IoT) is a network that connects computers, electronic and mechanical goods, people, and other entities that have been given unique identities (UIDs) and the capacity to exchange data across human-to-human and computer-to-human connections. Another feature of the IoT devices is linked together in a manner akin to that of humans as well as computers, in the midst of IP addresses (Internet Protocol Addresses) that are assignable and capable of transmitting data to other artificial things or through networks. This paper goes over IoT technologies, fog, cloud applications, and security. Finally, discussion is done to the unanswered questions for both existing and upcoming IoT research.

The deregulation of the electricity sector has dramatically modified the current electricity system. Generators (suppliers) and large consumers (buyers) in an open, competitive energy market need an appropriate bidding method to increase their earnings. Because of this, every generator and large consumer will strategically bid for the choice of bidding factors to assess the opposition's bidding schemes. Power utilities use bidding methods to maximize revenue and minimize risk. In this article, we have demonstrated the essential components of the technique with the help of six power suppliers and two big buyers. We have used a Multi-Objective Grey Wolf Optimizer (MOGWO) to solve the bidding strategy problem as an optimization problem. Under this work, a methodology for electric utilities to bid effectively for expansion in their profits is developed. The competitor's behavior is ascertained using the probability density function. The MOGWO is employed in an optimization procedure to determine the best conclusion to the bidding problem. The method is verified using a test setup with six generators and two large consumers. The outcomes of using the Monte Carlo (MC), Gravitational Search Algorithm (GSA), Whale Optimization Algorithm (WOA), and Invasive Weed Optimization Algorithm (IWOA) techniques are also compared. Comparing the outcomes demonstrates that MOGWO is a successful solution.

Demand for electric vehicles (EVs) is growing steadily, which causes a number of big problems. One of the biggest problems is that there aren't enough charging stations. Nations are working to speed up the growth of renewable energy sources that can be used to power charging stations. This is to reduce the damage that carbon emissions do to the environment. Battery switching stations (BSSs) that are powered by photovoltaic cells (PV) use the traditional integration of renewable resources that are used to provide electricity for electric vehicles (EVs). The charging strategy of PV-based battery storage systems has a big impact on the availability, cost, and carbon footprint of the switching service (BSSs). In this study, an optimal charging method is proposed to. Cat-and-mouse optimization is used to figure out how much the battery should cost based on how many cars can park there, how much power the PV system can produce, how much load is connected to the PV system, and how many electric cars are available (EVs). By keeping the BES at the best speed for charging and discharging the battery, the battery will last longer.

Demand for electric vehicles (EVs) is growing steadily, which causes a number of big problems. One of the biggest problems is that there aren't enough charging stations. Nations are working to speed up the growth of renewable energy sources that can be used to power charging stations. This is to reduce the damage that carbon emissions do to the environment. Battery switching stations (BSSs) that are powered by photovoltaic cells (PV) use the traditional integration of renewable resources that are used to provide electricity for electric vehicles (EVs). The charging strategy of PV-based battery storage systems has a big impact on the availability, cost, and carbon footprint of the switching service (BSSs). In this study, an optimal charging method is proposed to. Cat-and-mouse optimization is used to figure out how much the battery should cost based on how many cars can park there, how much power the PV system can produce, how much load is connected to the PV system, and how many electric cars are available (EVs). By keeping the BES at the best speed for charging and discharging the battery, the battery will last longer.

In recent past numbers of road accident in our country reportedly increased manifold in term of fatalities and grievously injured. It is, therefore, utmost essential to identify those vulnerable stretches where road accidents are occurred repeatedly and also to examine the main reasons of road accidents thereof.

It is understood that the road accidents are not totally prevented in views of mixed traffic plying in our road networks but can be reduced to certain extant adopting appropriate safety measures and engineering skill. Considering the above, in 2015, a protocol has been notified by Ministry of Road Transport & Highway (MoRT&H), Government of India for identification of road accidents blacks spots and their rectifications. The terms that designating an accident-prone stretch as “Black Spot” based on combined criterion of numbers of fatalities & accidents in past years.    The Case study was carried out on Jaipur Ajmer sections of National Highway No.-48 in Rajasthan at busiest intersections Bhankrota villages which are highly accident-prone area. The main aim of the study to identify the Black Spot in lines with MoRT&H protocol and accordingly the mitigation measures has been proposed ensuring the safety enhancement. The task was achieved by conducting Road Safety Audit (RSA). Based on the study various conclusions along with recommendations are also drawn for reducing the accidents at great extent.

WMA is widely utilized in many parts of the globe due to its ability to combine the benefits of both hot mix and cold mix. In order to lessen the asphalt's thickness, organic additives are either added to the asphalt or used as part of the asphalt mix. Solidification is enhanced, even at lower temperatures, when the adhesive's viscosity is decreased. To make the asphalt layer less vulnerable to low temperatures and have excellent permanent deformation qualities, the organic additives must be selected in such a manner that they melt at a better temperature than predicted for the asphalt layer to reach the development site. Blends with the right qualities may be made in a more cost and environmentally friendly way by using WMA expertise in asphalt. In recent years, there has been a rise in awareness of environmental and health risks in the construction industry. Various methods and additives have been developed by the industry to reduce the required assembly temperature of asphalt mixes, and this has resulted in the development of a new blend type known as Warm-mix-Asphalt (WMA). In this paper a review of contemporary practices of use of Sasobit in preparation of Warm mixes has been done.