Skip to main content
×
Home
    • Aa
    • Aa

Particle-in-cell methods in predicting materials behavior during high power deposition

  • Filippo Genco (a1) and Ahmed Hassanein (a1)
Abstract
Abstract

Large energy fluxes and energy deposition are often found during off normal events in fusion reactors both magnetic and inertial confinement. Great temperature excursions can be found in the plasma facing components materials resulting in melting, evaporation, and expansion of the target material vapor cloud and successive plasma interaction. A general methodology for the computational solution of this very complex problem is proposed in this paper using a novel approach of the Particle-in-Cell method. This novel approach preserves many of the original Particle-in-Cell methodology proposed by Harlow's but introduces several changes to the method, which makes it particularly suitable in plasma dynamics applications as Tokamaks devices. Benchmarking is done using results from the very well-known and benchmarked HEIGHTS computer package and using available results from the MK200 plasma gun experiments. The general scheme is explained in detail and results and discussion related to the main computational aspects are presented. In particular, the critical importance of the starting computational mesh versus the aimed accuracy is studied and explained. The methodology is different from any other presented in literature because the dynamics of the physical problem dictates that as enough energy is being dumped on the target plate, melting and evaporation of the material takes place. As time progresses, new sample particles are introduced in the system making this boundary a dynamic one along time. Computer time is discussed in relation to the initial sample particle loading, aimed accuracy and importance of the time used for solving the radiation transport at each time step.

Copyright
Corresponding author
Address correspondence and reprint requests to: F. Genco, Center for Materials under Extreme Environment, School of Nuclear Engineering, Purdue University, West Lafayette, IN 47907. E-mail: fgenco@purdue.edu
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

N.I. Arkhipov , V.P. Bakhtin , S.G. Vasenin , A.M. Zhitlukhin , S.M. Kurkin , V.M. Safronov & D.A. Toporkov (2002). Energy balance in the interaction of intense High-Temperature Plasma Flows with solid Targets. Plasma Phys. Rpt. 28, 432443.

R. Aymar (2001). ITER R&D: Executive summary: Design overview. Fusion Engin. Des. 55, 107118.

O. Buneman (1959). Dissipation of currents in ionized media. Phys. Rev. 115, 503517.

R. Courant , K. Friedrichs & H. Lewy (1928). Über die partiellen differenzengleichungen der mathematischen physik. Math. Annalen (in German) 100, 3274.

J. Dawson & C. Oberman (1962). High-frequency conductivity and the emission and absorption coefficients of a fully ionized plasma. Phys. Fluids 5, 517524.

F.H. Harlow (1963). The Particle-in-cell method for numerical solution of problems in fluid dynamics. Proc. Symposia Appl. Math. 15, 269288.

A. Hassanein & T. Sizyuk (2008). Comprehensive simulation of vertical plasma instability events and their serious damage to ITER plasma facing components. J. Nucl. Fusion 48, 115008.

A. Hassanein , T. Sizyuk & G.V. Miloshevsky (2010). Impact of various plasma instabilities on reliability and performance of tokamak fusion devices. Fusion Eng. Des. 85, 13311335.

V. Sizyuk & A. Hassanein (2010). Damage to nearby divertor components of ITER-like devices during giant ELMs and disruptions. J. Nucl. Fusion 50, 115004.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Laser and Particle Beams
  • ISSN: 0263-0346
  • EISSN: 1469-803X
  • URL: /core/journals/laser-and-particle-beams
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 2
Total number of PDF views: 5 *
Loading metrics...

Abstract views

Total abstract views: 84 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 23rd September 2017. This data will be updated every 24 hours.