ELECTROMAGNETIC_BRAKING_SYSTEM.pptx
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This document discusses electromagnetic braking systems. It introduces eddy currents and how they are induced in conductors moving through magnetic fields. It then explains how electromagnetic brakes use eddy currents to slow rotating or moving objects. The circular eddy current brake system is described, where eddy currents induced in a metal disc by an electromagnet generate drag to slow the disc's rotation. Advantages of electromagnetic brakes include no contact or wear, adjustable braking power, and use in high-speed applications like trains. Future developments may allow their use in more applications and replacement of traditional brakes.
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The document discusses eddy current brakes, which use magnetic fields to induce eddy currents in conductors to slow rotation or movement. There are two types - circular brakes use a disc that generates eddy currents when exposed to a magnetic field, while linear brakes induce currents in rails using a magnet held near the rail. Eddy current brakes have advantages like contactless braking and adjustable braking force, but cannot hold stationary loads. They are used in trains and rollercoasters for safety braking at high speeds. Future applications could replace ordinary brakes and control high speed trains entirely with eddy current brakes.
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Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
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Rainfall intensity duration frequency curve statistical analysis and modeling...
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ELECTROMAGNETIC_BRAKING_SYSTEM.pptx
- 1. ELECTROMAGNETICBRAKINGSYSTEM PRESENTED BY ~~ SURENDRA SINGH RAJAT KUMAR ARNAB KUMAR KAMLESH PRASAD BIPIN SOURABH KUJUR PRAVIN KUMAR VED PRAKASH GAGRAI RAHUL KUMAR
- 2. CONTENTS= Introduction of eddy current Introduction of electromagnetic brake Circular eddy current brake Working Advantages Disadvantages Applications Future aspects Conclusion
- 3. Introduction of eddy current Eddy currents are electric currents indused in conductor when exposed to a charging magnetic field; due to relative motion of the field source and conductor or due to variations of the field with time. This can cause a circulating flow of electrons, or current, within the body of the conductor. These circulating eddies of current have inductance and thus induce magnetic fields
- 4. Introductionof electromagneticbrake Eddy current brakes like conventional friction brakes, are responsible for slowing down an object, such as rotating machinery, a moving train, or even a roller coaster. There are two basic types: (1) Rotational (2) Linear
- 6. Circulareddycurrent brakesystem Eddy current brake works according to Faraday’s law of electromagnetic induction. According to this law, whenever a conductor cuts magnetic lines of forces, an e.m.f is induced in the conductor, the magnitude of which is proportional to the strength of magnetic field and the speed of the conductor. If the conductor is a disc, there will be circulatory currents i.e., eddy currents in the disc. According to Lenz’s law, the direction of the current is in such a way as to oppose the cause i.e., movement of the disc. The eddy current brake consists of two parts, a stationary magnetic field system and a solid rotating part, which include a metal disc
- 7. Howit works? During braking, the metal disc is exposed to a magnetic field from an electromagnet, generating eddy currents in the disc. The magnetic interaction between the applied field and the eddy currents slow down the rotating disc.
- 9. Advantages - Independent of wheel support. No contact, therefore no wear or tear. No noise or smell. Adjustable brake force. High brake forces at high speeds. It uses electromagnetic force and not friction. Can be activated at will via electrical signal. low maintenance. Light weight.
- 10. Disadvantages - Braking force diminishes as speed diminishes with no ability to hold the load in position at stand still. It cannot be used at low speed vehicles. Electromagnetic brakes are used with ordinary mechanical brakes. Now a days electromagnetic brakes are used only for safety purpose.
- 11. Applications- It is used as a stopping mechanism in trains . It is also used in the smooth braking and functioning of roller coasters and such fast moving machines. It is used in the retardation of super cars.
- 12. Future aspects- In future, ordinary brakes will be completely replaced by the electromagnetic brakes. By the use of electromagnetic brakes in future we can control high speed train completely. By some new invention of extra mechanism, we can use electromagnetic brakes for slow speed vehicles also. This technology can also be applied for governing speed of turbines in power plants.
- 13. Conclusion- Electromagnetic brake is a good invention for the speed control of high speed vehicles. We can control the speed of high speed vehicles without wear and tear in parts of it. Drawback of ordinary mechanical braking system can be over come by application of electromagnetic brakes. It makes use of opposing tendency of eddy current.
- 14. Reference- Siskind, Charles.S electrical control system in industry , McGraw-Hill Magnetic braking system: simple theory and experiment- H.D.Wiederick Zalud, Todd” brake selection” (www.ogura.com) http://en.Wikipedia.org/wiki/Electomagnetic/brake