Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/333954
Title: Transformer oil insulation using nano silicon oxide corn oil with image processing methods
Researcher: Shantha Kumar, M
Guide(s): Karthik, B
Keywords: Transformer oils
Nanofluids
Image processing
University: Anna University
Completed Date: 2020
Abstract: Recent technological advancements have shown path to the development of natural ester based transformer oils considering its advantages over conventional mineral oils. Corn oil results are reported in many works and seem to be a suitable alternative candidate for transformers. In addition, recent developments in nanotechnology have also given horizons for the development of nanofluids as transformer insulation. However, in order to qualify nano modified natural ester insulating fluids for transformer applications and also to have a common dielectric clearance design; it should have similar characteristics comparable with mineral oil. However research reports on the natural ester based nanofluid such as corn oil is scanty and comparison with nano mineral oil is very few. It is important to understand the positive and negative lightning impulse breakdown voltage as per IEC standard at different electrode geometry such as needle/plane and needle/sphere. Partial discharge characteristics of nano modified oils is to be studied at different electrode geometry. Understanding the key parameters of dielectric, thermal, partial discharge and lightning impulse characteristics of nano modified corn oil and mineral oil is very important and collection of these data will be useful for electrical utilities. Considering these facts, extensive laboratory experiments are conducted in this nano-SiO2 modified silicon oxide corn oil at various %wt filler concentrations. To generate different PD sources using different electrode configurations in the laboratory such as corona discharge, internal discharge and surface discharge. newline
Pagination: xxii,134p.
URI: http://hdl.handle.net/10603/333954
Appears in Departments:Faculty of Information and Communication Engineering

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21_conclusion.pdf180.75 kBAdobe PDFView/Open
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