Classification Characterization and Data Mining Research on W Surface Modification Induced by Particle Fluxes: A Method Investigation

Conference paper
Part of the Springer Proceedings in Energy book series (SPE)

Abstract

Particle irradiation from the fusion plasma will lead to significant changes in W surface morphology. Imagery method and qualitative description are generally used to describe and classify these damage morphologies, which is not conductive to reveal the essential relationship between different damage structures and the influence rules of different irradiation conditions. Based on texture feature analysis, this work provides a classification and characterization method by selecting four feature structures, “hole” structure, “branch” structure, “blister” structure and “groove” structure, to analyze surface SEM images, to conduct a preliminary exploration by using data mining technology. The relationship between different feature structures and the effect significance level of different influence factors, including incident energy, incident flux, total incident fluence and exposure temperature has been obtained from the preliminary application in the research on W surface modification induced by He or D particles. With the increase of sample size and considered factors, this method is expected to provide more valuable reference for the mechanism researches on irradiation damage of material’s surface.

Keywords

Tungsten Surface modification Image analysis 

Notes

Acknowledgements

This work is supported by research start-up fund of North China University of Technology.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.College of Mechanical and Materials Engineering, North China University of TechnologyBeijingChina

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