Design Prediction of TWT Collector using Data Science

Pareek , N and Latha, AM and Ghosh , SK (2019) Design Prediction of TWT Collector using Data Science. In: National Symposium on Vaccum Electronic Devices and Applications(VEDA-2019), November 21-23, 2019, NIT, Patna, India.

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A Multistage depressed collector (MDC) is a critical component of traveling wave tubes (TWT) and contribute major share of the TWT overall efficiency, and hence, needs special consideration in designing such MDC for very high efficiency TWT. In this paper, a data-driven approach to model high efficiency MDC has been presented. A series,of spent-beam data has been generated from the beam-wave interaction software, SUNRAY and subsequently, the data has been analyzed using k-means clustering .The depressed electrode potentials obtained via data clustering, gave an efficiency of 82.8 %. This new approach is much faster then the conventional approach reported eslewhere.

Item Type: Conference or Workshop Item (Paper)
Subjects: Microwave Tubes > Travelling Wave Tubes
Divisions: Microwave Tubes
Depositing User: Mr. Jitendra Nath Bajpai
Date Deposited: 27 Aug 2021 07:10
Last Modified: 27 Aug 2021 07:10

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