Academic Journal

EMC3-EIRENE modelling of tungsten behavior under resonant magnetic perturbations on EAST: Effects of tungsten sputtering and impurity screening

التفاصيل البيبلوغرافية
العنوان: EMC3-EIRENE modelling of tungsten behavior under resonant magnetic perturbations on EAST: Effects of tungsten sputtering and impurity screening
المؤلفون: Dai, S Y, Zhang, H M, Lyu, B, Sun, Y W, Jia, M N, Feng, Y, Wang, Z X, Wang, D Z
المصدر: Plasma Physics and Controlled Fusion ; volume 63, issue 2, page 025003 ; ISSN 0741-3335 1361-6587
بيانات النشر: IOP Publishing
سنة النشر: 2020
الوصف: The studies on tungsten (W) sputtering and transport characteristics on EAST tokamak under resonant magnetic perturbation (RMP) fields have been performed with the three-dimensional edge transport code EMC3-EIRENE. The estimation of the W sputtering flux has been carried out based on EMC3-EIRENE modeling for RMP and no RMP applications. The W sputtering flux shows a small difference between RMP and no RMP cases due to weak sensitivity of W sputtering yield on deuterium impact energy for low edge plasma density. However, for high edge plasma density, the strong dependence of W sputtering yield on deuterium impact energy comes into play, which results in a remarkable difference in the W sputtering flux between RMP and no RMP cases. Impacts of the W impurity perpendicular transport on W ions transport have been investigated. With low W perpendicular transport coefficient for RMP case, the edge plasma has a better W ions screening effect for high edge plasma density. The increased W perpendicular transport coefficient results in a good W ions screening effect for both high and low edge plasma densities.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1088/1361-6587/abbf86
DOI: 10.1088/1361-6587/abbf86/pdf
الاتاحة: http://dx.doi.org/10.1088/1361-6587/abbf86
https://iopscience.iop.org/article/10.1088/1361-6587/abbf86
https://iopscience.iop.org/article/10.1088/1361-6587/abbf86/pdf
Rights: http://creativecommons.org/licenses/by/4.0 ; https://iopscience.iop.org/info/page/text-and-data-mining
رقم الانضمام: edsbas.31ACD4DA
قاعدة البيانات: BASE
الوصف
DOI:10.1088/1361-6587/abbf86