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Record W4414942537 · doi:10.1115/pvp2025-154338

Elastic-Plastic Behavior of Metal Rings During High-Speed Electromagnetic Compression

2025· article· en· W4414942537 on OpenAlexaff
Niels van de Meulenhof, Fons van de Ven, Arris S. Tijsseling

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMetal Alloys Wear and Properties
Canadian institutionsGeneral Fusion (Canada)
Fundersnot available
KeywordsIsotropyIsotropic solidCylinderCompression (physics)Boundary value problemRotational symmetryFusionHardening (computing)

Abstract

fetched live from OpenAlex

Abstract In Magnetized Target Fusion (MTF), fusion conditions are achieved by high-speed compression of magnetized plasma within a flux conserver. General Fusion is developing its MTF technology by running experiments using solid lithium cylindrical shells. The rapid compression is induced by a high-current theta-pinch of the shell. Concentric and symmetric compression of the shell must be achieved to conserve magneto-hydrodynamic stability of the plasma during compression and to reach fusion conditions. General Fusion has operated compressors for both lithium rings and cylinders that achieved various levels of symmetry before becoming asymmetric deep into compression, formulating the need to understand the dynamics of collapsing shells. The focus of this study lies on fundamental research of the elastic-plastic behavior of the cylinder during compression in vacuum. The current work aims to provide a mathematical basis for further research and advice on experimental operations, by comparing both analytical and numerical results of two established plasticity models. The problem is tackled by starting from the very basics of solid mechanics. The cylindrical shell is first approximated by a rotationally symmetric ring of uniform thickness on which a compressive dynamic radial body force is exerted. Starting with an isotropic linear elastic model, this results in a system of ordinary differential equations with time as the only independent variable. Plasticity is introduced using an isotropic linear hardening model, which is later substituted by the Johnson-Cook hardening model. After this, the model is extended to include the azimuthal angle (in polar coordinates) as independent spatial variable. The cylindrical shell is now described as a ring of varying thickness, such that it can capture asymmetry. The resulting system of equations consists of partial differential equations. For this a model with linear hardening is presented, using similar numerical methods as for the symmetric ring. The problem is solved numerically in Matlab, and for the symmetric ring problem also analytically for the linear elastic and linear hardening model. The numerical methods used in this study consist mostly of central and forward difference approximations. The use of low-order finite-difference methods allows for quick solutions and the possibility to explain, compare and validate the results. Good correspondence is found between the analytical and numerical results. A validation against the experiments done at General Fusion is not complete, but the models show similar ring compression trajectories to the experiments, highlighting the potential for future use. Both the symmetric and the asymmetric approximation of the problem give great insight into the essence of the elastic-plastic behavior of the lithium rings and cylinders, as well as the (material) parameters and driving force. The numerical results are smooth, despite the complex nonlinear nature of the problem. For the asymmetric ring problem, some improvements on the described models are proposed, as they either give questionable results or require unrealistic input parameters. In conclusion, the presented models and obtained results lay the foundation for further research into the dynamic compression of metal rings and cylindrical shells.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.230
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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