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Computational Analysis of Contact Stresses In Involute Spur Gears
The present paper investigates computational analysis of the contact stresses involved in an involute gear system using ANSYS simulation software. Gearing is one of the most critical components in mechanical power transmission systems. The computational simulation of contact stresses of two cylinders is carried out to validate the methodology with available analytical method, Hertz contact stress equation, which are originally derived for contact between two cylinders. The simulation of contact problems with ANSYS is carried out with the stiffness relationship between the two contact areas is usually established through a contact element, spring type is placed between the two contacting areas. The results of the two dimensional FEM analyses using ANSYS, a FEM solver software are presented. The results simulated are in agree with the theoretical values calculated using Hertz contact stress equation
Effective Torque Ripple Reduction of Permanent Magnet Brushless DC Motor
To reduce commutation torque ripple, a model predictive control (MPC) for permanent brushless DC motors (BLDCM) is presented (CTR). Torque ripples cause vibration noise and decrease efficiency. The suggested MPC system is constructed by forecasting the phase current with the aim of minimizing the BLDCM\u27s CTR and taking into consideration the CTR sources. The method presented in this paper is a unique methodology for suppressing CTR over the whole speed range, avoids more complex current controllers or modulation models, and overcomes the challenges of commutated-phase-current control. The ideal switching state is instantly selected and implemented during the next sample period according to the preset cost function in order to match the slope rates of outgoing and incoming phase currents during commutation, ensuring the minimum of commutation torque ripple. The modelling and experiment findings show that the suggested method can effectively reduce CTR over a wide speed range and achieve the better CTR minimization performance. The results are then compared to the outcomes of various torque ripple reduction(TRR) techniques
Design of an Efficient Memristor-based Dynamic Exclusive-OR gate.
In this paper, an efficient memristor-based dynamic logic design for an Exclusive-OR gate is proposed. The proposed realization reduces the number of cascaded stages and component count thereby providing an overall performance improvement. The performance of the proposed design is compared with the most recent existing design through LTspice software simulations at 32 nm technology node in terms of total power consumption, average propagation delay, and number of components used in the implementation. The outcomes depict that the proposed design consumes 57 % reduced power and provides faster operation with 5.09 % improvement in propagation delay in comparison to its existing counterpart. Further, the robustness of the proposed design is verified by performing technology and capacitance variation. The results show the impeccable performance of proposed design across different load capacitance and technology nodes
Survey on Security Issues and Protective Measures in Different Layers of Internet of Things (IoT)
In general perspective, Internet of things is defined as a network of physical objects by connecting” things to things” through the sensors, actuators and processors, to communicate and exchange data and information among each other along with other related devices and systems spread over different locations, without human-to-human or human-to-computer interactions. This survey summarises all the security threats along with privacy issues that may be confronted by the end users in Internet of Things (IoT). The majority of survey is to gather information about the current security requirements for IoT, the further scope and the challenges in IoT and the measures to prevent attacks upon the IoT systems
IoT-Fog-Edge-Cloud Computing Simulation Tools, A Systematic Review
The Internet of Things (IoT) perspective promises substantial advancements in sectors such as smart homes and infrastructure, smart health, smart environmental conditions, smart cities, energy, transportation and mobility, manufacturing and retail, farming, and so on. Cloud computing (CC) offers appealing computational and storage options; nevertheless, cloud-based explanations are frequently conveyed by downsides and constraints, such as energy consumption, latency, privacy, and bandwidth. To address the shortcomings related to CC, the advancements like Fog Computing (FC) and Edge Computing (EC) are introduced later on. FC is a novel and developing technology that connects the cloud to the network edges, allowing for decentrali zed computation. EC, in which processing and storage are performed nearer to where data is created, may be able to assist address these issues by satisfying particular needs such as low latency or lower energy use. This study provides a comprehensive overview and analysis of IoT-Fog-Edge-Cloud Computing simulation tools to assist researchers and developers in selecting the appropriate device for research studies while working through various scenarios and addressing current reality challenges. This study also takes a close look at various modeling tools, which are examined and contrasted to improve the future
Smart Hospitality and Secure Tourism Management using Blockchain Technology: BESHosTM Approach
Throughout the age of 5G technology, the majority of contactless banking is made via software that is enabled by a wide range of financial platforms. Several alternative financing channels provide access to a variety of services. The opportunity for hackers to engage in nefarious behaviour such as payment account hacking, identity theft, and payment system assaults stages of clearances with e-tourism, monetary information is kept in a database. Payment issues can be caused by a centralised cloud server. Throughout the periods of heavy congestion, the abovementioned problems are solvable by utilising a decentralised system like blockchain, it allows for the maintenance of trustworthiness between distinct groups of financial institutions, tour companies, airways, and trains are examples of consumers. Cruise ships, accommodations, cafes, as well as regional cabs are all available. Inspired mostly by following the foregoing debate, we suggest the blockchain Enables Secure Smart Hospitality and Tourism Management (BESHosTM) model
Editorial
The aeronautical engineer is responsible for using cost-effective methods to develop ways of improving fuel efficiency and flight safety. Additionally, aeronautical engineers focus on lowering the environmental impact of air travel by creating aircraft that are more environmentally friendly. In Indian scenario, the development of aeronautical related advance technologies is still to grow with the Government of India initiative for the defence product under the Atmanirbhar Bharat and hope in few years now, these advanced technologies will be booming
A Machine Learning based Drug Recommendation System for Health Care
In today’s digital era healthcare is one among the major core areas of the medical domain. People trying to find suitable health-related information that they are concerned with. The Internet could be a great resource for this kind of data, however you need to take care to avoid getting harmful information. Nowadays, a colossal quantity of clinical information dispersed totally across different websites on the Internet prevents users from finding useful information for their well-being improvement. Errors in medication are one of the foremost severe medical faults that would be a threat to patients’ lives. These problems increases the requirement to use recommendation systems within the domain of healthcare to assist users create additional economical and correct health-related decisions. During this paper, drug recommendation systems are developed to help end-users in distinctive correct medications for a particular wellness based on the reviews of other end-users provided on totally different medications for various specific diseases. The goal of this recommendation system is to examine the dataset using data mining concepts, visualization, sentiment analysis and recommend drugs based on the condition, ratings and reviews using Machine Learning approaches, Content and Collaborative filtering approach, for each health condition of a patient
Unmanned Aerial Vehicles an Overview and Applications
A drone that is not manned Automated vehicles are rational admirers of the latest planes, and they\u27re always looking for ways to improve. Wartime and re-exploration capabilities are the primary emphases of the current generation of UAVs, leaving the existing market impacted by UAV technology unaffected. UAV technology has a wide range of current uses, ranging from emergency response to media to agriculture to communications experts. However, the adaptable unmanned aerial vehicle is not yet available to the general public. As a result, a UAV that can carry a wide range of flexible tools should be light and lightweight. In commercial applications, UAV technological ideas and adaptable components may be a strong instrument, and they can help define the future of aviation. It is possible to categorize drones depending on their applications, such as photography, aerial mapping, surveillance, and so on. However, the easiest way to classify \u27Drones\u27 is to use aerial platforms. Drones may be classified into four broad categories based on the sort of airborne platform they employ
Film Cooling Method In Liquid Rocket Engine
Design Criteria, Experimental Studies of Supersonic Shock Wave Interaction with Film Cooling, and High-Pressure Subscale Combustion Chamber of Film Cooling Liquid-Propellant Rocket Engines are all covered in this review study. Using earth-storable, space-storable, and cryogenic propellant combinations, the study establishes the applicability of film cooling to rocket engines in the high thrust range. The study\u27s findings are given in this publication. Additionally, data from studies mixing different types of propellant were used to evaluate the analytical model\u27s accuracy. Tests employing supersonic film cooling were done in the wind tunnel to investigate the impact of external shock waves on supersonic film cooling. The coolant injection was carried out at a supersonic speed. Furthermore, we discuss the important factors that impact film cooling, such as the efficacy of the injected film and the reduction in wall temperature. A high-pressure subscale combustion chamber was used in conjunction with a combination of cryogenic propellants to conduct the experimental investigation. It is critical to consider the increase in the coefficient of heat transfer