Characterization of helium retention in the inhomogeneous co-deposited layers using a long pulse laser induced ablation-quadrupole mass spectroscopy

Lyu, Yan; He, Zhonglin; Wang, Xueyan; Bai, Xue; Li, Cong; Wu, Ding; Hai, Ran; Ding, Hongbin

doi:10.1016/j.nme.2022.101268

Cited by 2 publications

(4 citation statements)

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“…The laser techniques for the analysis of the tokamak first wall are based on using the laser radiation to remotely heat the surface of the tokamak tiles and register either the radiation signal from the gas cloud/plasma plume formed near the target surface or the particle flux from the tile surface. A broad range of methods such as the Laser-Induced Breakdown Spectroscopy (LIBS) [7,8,11,[13][14][15][16][17][18][19][20][21][22], Laser-Induced Ablation Light [6,9,[23][24][25][26] /Mass [27][28][29][30][31] Spectroscopy (LIAS/LIA-QMS), and also the Laser-Induced-Desorption Light [6,32,33] and Mass [10,26,31,32,[34][35][36][37][38][39][40] Spectrometry (LIDS/LID-QMS) were proposed for analysis of tritium content in the tokamak plasma facing materials.…”

Section: Introductionmentioning

confidence: 99%

“…The heat transfer in solids in two-and three-dimensional approximations were considered both analytically [54,[58][59][60][61][62][63][64] and numerically [28,35,36,[65][66][67][68][69][70][71] in connection to technological laser applications in a large number of studies. Bechtel [58] considered three-dimensional laser heating of solid samples by a pulse with Gaussian or rectangular spatiotemporal profiles.…”

Section: Introductionmentioning

confidence: 99%

“…Three-dimensional laser printing process was modeled in the study [71]. The twodimensional numerical model of heat transfer was applied to analysis of LID-QMS data on deuterium desorption from tungsten samples [35] and LIA-QMS data on He desorption from He-Al co-deposited layers [28,36].…”

Section: Introductionmentioning

confidence: 99%

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Dimensional effects in analysis of laser-induced-desorption diagnostics data

Stepanenko,

Gasparyan

2024

Phys. Scr.

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The accurate assessment of the local tritium concentration in the tokamak first wall by means of the laser-induced desorption (LID) diagnostics is sought as one the key solutions to monitoring the local radioactive tritium content in the first wall of the fusion reactor ITER. Numerical models of gas desorption from solids used for LID simulation are usually closed with the one-dimensional transport models. In this study, the temperature and particle dynamics in the target irradiated by a short laser pulse during LID are analyzed by means of the two-dimensional model to assess the validity of using one-dimensional approximation for recovering the diagnostics signal. The quantitative estimates for the parameters governing the heat and particle transfer are presented. The analytical expressions for the sample spatiotemporal temperature profiles driven by the target irradiation with a Gaussian laser beam with the trapezoid temporal shape are derived. The obtained relations are used to simulate tritium desorption from a tungsten sample driven by pulsed heating. It is shown that depending of the ratio between the laser spot radius and the heat diffusion length, the one-dimensional approach can noticeably overestimate the sample temperature in the limit of small laser spot radius (estimated for tungsten as ∼ 0.5 − 1.0 mm), resulting in more than 100% larger amounts of tritium desorbed from the target, compared to the two-dimensional approximation. In the limit of large laser spot radius (≥ 1.5 mm), both approaches yield comparable amounts of tritium desorbed from the sample.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dimensional effects in analysis of laser-induced-desorption diagnostics data

Stepanenko,

Gasparyan

2024

Phys. Scr.

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“…Currently, for remote monitoring of the tritium concentration in the reactor wall, the laser-based methods are proposed, which include laser-induced breakdown (LIBS) [3][4][5][6][7][8], ablation (LIAS) [9][10][11][12][13], desorption (LIDS) [9,[14][15][16][17] spectroscopy, as well as the method of laser-induced desorption-quadrupole mass-spectrometry (LID-QMS) [15,[18][19][20][21][22][23] (and its ablation counter-part, LIA-QMS [24][25][26][27]). The methods are based on local heating of the sample surface layers (to the depth up to several micrometers) by short laser pulses and further measuring of the power/spectral composition of the emitted radiation (LIBS/LIAS/LIDS) or the mass flow of the desorbed gas/ablated material (LID-QMS/LIA-QMS).…”

Section: Introductionmentioning

confidence: 99%

Possibility of using machine learning methods to reconstruct solid body parameters during laser-induced desorption analysis

Stepanenko,

Kashin,

Gasparyan

2023

Phys. Scr.

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The possibility of using machine learning methods for solving the inverse problem of the laser-induced desorption quadrupole mass-spectrometry (LID-QMS) diagnostic is studied. The formulation of the problem is given, and a general scheme of its solution is proposed. A test model of gas transport in a solid body is considered, which is used to construct a database of gas transport parameters in the sample. The application of the synthetic data and machine learning methods, viz. the interpolation technique, the method of K nearest neighbors, and the neural networks, for solving the LID-QMS inverse problem is investigated. The advantages and disadvantages of each approach are discussed.

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Characterization of helium retention in the inhomogeneous co-deposited layers using a long pulse laser induced ablation-quadrupole mass spectroscopy

Cited by 2 publications

References 44 publications

Dimensional effects in analysis of laser-induced-desorption diagnostics data

Dimensional effects in analysis of laser-induced-desorption diagnostics data

Possibility of using machine learning methods to reconstruct solid body parameters during laser-induced desorption analysis

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