Open Access

ARTICLE

Identification and Segmentation of Impurities Accumulated in a Cold-Trap Device by Using Radiographic Images

by

1 Assistant Professor, School of Computing, SASTRA Deemed University, Thanjavur, India.
2 Director, HSEG, IGCAR, Kalpakkam, India.
3 So(F), RSD, IGCAR, Kalpakkam, India

* Corresponding Author: Thamotharan B,

Intelligent Automation & Soft Computing 2020, 26(2), 335-340. https://doi.org/10.31209/2019.100000156

Abstract

Accumulation of impurities within cold trap device results in degradation of efficient performance in a nuclear reactor systems. The impurities have to be identified and the device has to be replaced periodically based on the accumulation level. Though there are a few techniques available to identify these impurities from the cold trap device, there are certain limitations in these techniques. In order to overcome these constraints, a new harmless and easy approach for identifying and separating the impurities using the radiographic images of cold traps is proposed in this paper. It includes a new segmentation algorithm to segregate the deposited impurities from the images of the cold trap device after sodium experiment. The experiment begins with thresholding and segmenting of impurities by using transformations onto the radiographic images of the cold trap device. The procedure is experimented on two section of the cold trap's image and it yields far better results on comparison with other segmentation techniques. The results are verified and approved by the scientists working with Fast Breeder Test Reactors. Implementation of the proposed algorithm with the simulation result s are presented in this paper.

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Keywords

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