The Transformer plays a key role in the electrical grid as it allows for electrical power to be transmitted over long distances at high voltage and low current thereby minimizing transmission loss. Electrical power typically passes through several transformer stages before reaching the consumer. Thus, the potential value of even minor improvements in transformer reliability and performance is huge. Deploying green energy sources like photovoltaic systems, wind power and wave power also poses new challenges to transformer technology. Transformer design and, more generally inductor design, are by nature true multiphysics problems as electrical and thermal effects are important and tightly coupled.
This webinar will explore various approaches to transformer and inductor modeling and features a detailed example where we show, step by step, how to model a transformer with COMSOL Multiphysics.
Learn how to use MATLAB and Image Processing Toolbox to solve problems using CT, MRI and fluorescein angiogram images.
Medical image processing requires a comprehensive environment for data access, analysis, processing, visualization, and algorithm development. In this webinar, you will learn how to use MATLAB and Image Processing Toolbox to solve problems using CT, MRI and fluorescein angiogram images. Our demonstrations will include the following highlights:
Volume visualization of a brain MRI image stack
Measurement of vessel tortuosity
Video analysis and neural network-based classification of a fluorescein angiogram
The presentation will last approximately 60 minutes and includes a Q&A session with the audience at the end of the presentation.
About the Presenter:
Brett Shoelson received his Master's and Doctorate degrees in Biomedical Engineering at Tulane University. He spent several years doing biomedical research at Harvard Medical School and at the National Institutes of Health before coming to work at MathWorks in 2005. His research interests include automating image processing workflows with MATLAB.
See a quick workflow for automatically tuning PID controllers and deploying them to real-time hardware.
PID control is ubiquitous. While simple in theory, design and tuning of PID controllers can be difficult and time consuming in practice. The webinar will start with a quick theory primer on PID control. MathWorks engineers will then introduce a simple and straightforward way to quickly design, tune, and implement PID controllers. Through demonstrations, you will learn how to tune PID controllers for control systems in various industries, and how to address various practical considerations such as conversion from continuous to discrete-time domain, output saturation, anti-windup protection, gain-scheduling, and tuning for disturbance rejection.
Please allow approximately 60 minutes to attend the presentation and Q&A session.
About the Presenter: Arkadiy Turevskiy works in the technical marketing group at MathWorks supporting Simulink and control design products. Prior to joining MathWorks he worked at Pratt & Whitney where he developed control systems for large aircraft engines.
Multiphysics modeling has become an integral tool throughout the product development process as it encompasses a wide range of applications, including electrical, mechanical, fluid, and chemical simulations. While addressing the need for coupling physics affecting the same application, it also turned out that multiphysics modeling is the vital component for delivering a unified simulation platform. During this webinar the makers of COMSOL Multiphysics will show how the software can address just about any design challenge that involves the presence and interaction of several physical effects. Engineers and researchers that adopted COMSOL's unique simulation power and its ability to build accurate simulation models, are designing new products in less time and with lower costs than ever before. Join the webinar to see COMSOL Multiphysics in action during the live demo and ask your questions during the Q&A session.
Linear combination of random variables has found wide applications in many areas such as statistics, queuing theory, actuary science, reliability theory, and communications, etc. For example, in reliability theory, it arises as the lifetime of a redundant standby system; in queuing theory, it is used to model the total service time by an agent in a system; in actuary science, it is used to model total claims on a number of policies in the individual risk model. In this talk, we focus on the analysis of efficiency, peakedness, majorization properties of linear combinations of random variables with light tail or heavy tail properties. Some related results in the literature will be studied in a unified framework. Applications in statistical inference, actuary science, and reliability theory will be highlighted as well.
Piezoelectric materials contribute as a key design component in transducers, sensors, actuators, and resonators. The ability to accurately model these devices can greatly benefit the design process and contribute to increasing the efficiency of the device through better understanding of the multiphysics interaction between piezoelectric, structural, and dielectric or conductive materials in the same device. This webinar will introduce you to the modeling and simulation of such devices. Special attention will be given to the multiphysics capabilities that allow you to easily combine piezoelectric device modeling with other physics such as acoustics, fluid dynamics, heat transfer or electromagnetic waves in a single simulation.
Supratik Datta received a Ph.D. in Aerospace Engineering from University of Maryland, College Park in 2009. He has been involved in research related to damage detection in composites, phase transformation in ferrous alloys and design and non-linear modeling of piezoelectric and magnetostrictive actuators and sensors. Supratik's research has been published in several peer-reviewed journals and he has received awards from AIAA and ASME for his work on magnetostrictive materials. He is currently working as an Applications Manager in COMSOL, Inc., Palo Alto.