RESEARCH PAPER
Mathematical Calculation of Material Reliability Using Surface Roughness Feature Based on Plasma Material Interaction Experiment Results
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1
Energy Systems Engineering, Ankara Yıldırım Beyazıt University Graduate School of Natural Sciences, Turkey
2
Department of Physics,, Faculty of Science, Gazi University, Ankara, Türkiye,, Turkey
Submission date: 2023-04-18
Final revision date: 2023-07-01
Acceptance date: 2023-07-19
Online publication date: 2023-07-21
Publication date: 2023-07-21
Corresponding author
Alper Pahsa
Energy Systems Engineering, Ankara Yıldırım Beyazıt University Graduate School of Natural Sciences, Turkey
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):169815
HIGHLIGHTS
- Aluminum bulk materials as electrodes in dc glow discharge helium plasma is studied in experimental work.
- Surface Roughness (Root Mean Square and Surface Mean) parameters of the aluminum electrodes are measured under Atomic Force Microscope.
- Weibull reliability is calculated for the aluminum electrodes’ based on their surface roughness features and provided its material lifecycle predictions.
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ABSTRACT
The choice of reactor structural material design must take into account the TOKAMAK fusion reactors' structural reliability. Due to their high levels of heat and energy, fusion reactions have significant deformation effects, which reduce the efficiency of energy production in reactors. Material selection, erosion and damage, heat and stress management, reliability analysis, maintenance, and inspection are crucial elements in determining how reliable fusion reactors are. The focus of this work is on material selection and reliability analysis based on these parameters. The most common wall materials used in fusion reactors are tungsten, beryllium, steel, or graphite. It is advised to utilize aluminum because harmful Beryllium dust limits the study of this element. For this purpose, a target of aluminum samples is established with a plasma of He ions created by glow discharge. The dependability of the samples is determined by calculating the Weibull Distribution and measuring the roughness of the sample surfaces following exposure.
ACKNOWLEDGEMENTS
Authors would like to thank to The Scientific and Technological Research Council of Turkey (TUBITAK) in supporting of this study
FUNDING
This work is funded by the The Scientific and Technological Research Council of Turkey (TUBITAK) under grant number 118F052.
CITATIONS (2):
1.
Optical roughness calculation for material structural analysis of energy structure applications under dc plasma processes
Alper Pahsa
Acta Innovations
2.
Optical roughness calculation for material structural analysis of energy structure applications under dc plasma processes
Alper Pahsa
Acta Innovations