The University of Southampton

- Event

Date:
19th of May, 2020  @  10:00 - 12:00
Venue:
32.4073
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- Event

Date:
27th of February, 2020  @  14:30 - 15:30
Venue:
100-4011 (Harvard L/TB)

Event details

Presentation Title: Advances in imaging of electrical trees in polymeric insulation

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Abstract: The growth of electrical trees is an important degradation process in polymer dielectrics under high voltages. The growth of an electrical tree can ultimately lead to breakdown and the failure of high voltage equipment. Suppressing and/or predicting tree growth in polymer insulation is therefore an important concern for the power supply industry. This seminar will consider recent advances in the imaging of trees. In particular 3D reconstructions from X-ray computed tomography (XCT), and the use of atomic force microscopy infrared spectroscopy (AFM-IR) will illustrate how improved analytical techniques can help understand the processes behind tree growth.

 

Prof Simon Rowland completed a B.Sc. in physics at The University of East Anglia, and his PhD at Chelsea College, London University. He worked for many years on dielectrics and their applications in multinational companies prior to joining The Dept. of Electrical and Electronic Engineering in The University of Manchester in 2003. He was appointed Professor of Electrical Materials in 2009, and served as Head of School from 2015-19. He was President of the IEEE Dielectric and Electrical Insulation Society in 2011 and 2012. His current research interests include the processes leading to dielectric failure in high voltage DC networks.

 

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- Event

Date:
21st of February, 2020  @  14:00 - 15:00
Venue:
Nuffield Theatre (6) - 1081
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Event details

Presentation Title: Analysis of dielectric data: Challenges and Benefits

Abstract: The information contained in the dielectric response of materials can be used to investigate the micro-structure, charge motion and the ageing of dielectric materials. However there are several issues which may impede the correct interpretation of the data. For example, the measured dielectric spectra are often a superposition of several distinct processes, the electrode contact can change significantly the measured response and last but not least the choice of dielectric function to model the relaxation processes is often based on personal preferences and prior experience. Therefore, for the correct analysis and interpretation of the data, it is necessary to decompose the response into individual processes, split the bulk processes from the electrode contact and select a suitable dielectric response function.

In this talk, Dr Chalashkanov will explore the techniques available for analysis of dielectric data and will focus on the application of equivalent circuit models.  The use of equivalent circuit models offers an effective method to investigate the measured dielectric response data using discrete electrical components representing relaxation and conduction processes. The method of constructing the equivalent circuits and the rationale for using specific components in the circuits will be explained in detail. Some issues related to the application of the equivalent circuit method will be illustrated through examples.

Dr Nikola M. Chalashkanov was born in Sofia, Bulgaria in 1981. He graduated from the Technical University of Sofia in 2003 with a Bachelor’s degree in industrial engineering and gained the Master’s degree there in industrial engineering in 2005. He joined the University of Leicester, UK in 2007 as a Graduate Teaching Assistant and received a Ph.D. degree for his work on charge transport and electrical breakdown in epoxy resins in 2012. In the period 2011-2019, he was a Teaching Fellow in the Electrical Power and Power Electronics Research Group in the Department of Engineering, University of Leicester. He joined the University of Lincoln as a Senior Lecturer in 2019.

Dr Chalashkanov is author and co-author of more than 40 peer reviewed papers. His research interests include partial discharge and electrical treeing phenomena, dielectric properties and charge transport in polymers, chaos theory, statistical analysis and data mining. He is a member of the Institute of Physics, a senior member of the IEEE and a fellow of the HEA.

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