Pub Date : 2025-12-23DOI: 10.1016/j.fusengdes.2025.115595
Javier Cruz-Miranda , Manuel Rodríguez-Álvarez , Miguel Damas , Iván Casero-Santos , Iván Podadera-Aliseda , José Franco-Campos , Antti Jokinen , André Sancho-Duarte , Javier Díaz
This study compares and proposes new alternatives for remotely connecting to visualize the experiments occurring in a particle accelerator located in Rokkasho, Japan. Three different platforms have been considered for remote access: the existing X2GO client, Guacamole with Control System Studio (CSS), and Phoebus web. While X2GO is a standard client for remote access to a server desktop, the other two platforms are proposed to improve the access, the response time, and the user experience for the researchers The servers for this study and the Operator Interfaces (OPIs) have been placed in our laboratory located in Granada, Spain, and the accelerator data, by means of Process Variables (PVs), were obtained via a VPN. Additionally, these platforms have been tested in two ways: with direct access to the PV data for each connection and using a local EPICS (Experimental Physics Industrial Control System) Gateway. The results prove that these new platforms, with a stable connection to the accelerator, could eventually enhance access to the experiments and balance the load of researchers connecting to the facility. This would allow the international team of researchers to participate in experiments as if they were physically in the control room.
本研究比较并提出了远程连接的新方案,以可视化在位于日本六所所的粒子加速器中发生的实验。考虑了三种不同的远程访问平台:现有的X2GO客户端、Guacamole with Control System Studio (CSS)和Phoebus web。虽然X2GO是远程访问服务器桌面的标准客户端,但我们提出了另外两个平台来改善访问,响应时间和研究人员的用户体验。本研究的服务器和操作员接口(opi)已放置在我们位于西班牙格拉纳达的实验室中,加速器数据通过过程变量(pv)通过VPN获得。此外,这些平台已经通过两种方式进行了测试:直接访问每个连接的光伏数据,以及使用本地EPICS(实验物理工业控制系统)网关。结果证明,这些与加速器稳定连接的新平台最终可以增加对实验的访问,并平衡连接到该设施的研究人员的负载。这将允许国际研究团队参与实验,就好像他们在控制室一样。
{"title":"Comparison of remote access technologies for research facilities using EPICS/CSS. Application to particle accelerator experiments","authors":"Javier Cruz-Miranda , Manuel Rodríguez-Álvarez , Miguel Damas , Iván Casero-Santos , Iván Podadera-Aliseda , José Franco-Campos , Antti Jokinen , André Sancho-Duarte , Javier Díaz","doi":"10.1016/j.fusengdes.2025.115595","DOIUrl":"10.1016/j.fusengdes.2025.115595","url":null,"abstract":"<div><div>This study compares and proposes new alternatives for remotely connecting to visualize the experiments occurring in a particle accelerator located in Rokkasho, Japan. Three different platforms have been considered for remote access: the existing X2GO client, Guacamole with Control System Studio (CSS), and Phoebus web. While X2GO is a standard client for remote access to a server desktop, the other two platforms are proposed to improve the access, the response time, and the user experience for the researchers The servers for this study and the Operator Interfaces (OPIs) have been placed in our laboratory located in Granada, Spain, and the accelerator data, by means of Process Variables (PVs), were obtained via a VPN. Additionally, these platforms have been tested in two ways: with direct access to the PV data for each connection and using a local EPICS (Experimental Physics Industrial Control System) Gateway. The results prove that these new platforms, with a stable connection to the accelerator, could eventually enhance access to the experiments and balance the load of researchers connecting to the facility. This would allow the international team of researchers to participate in experiments as if they were physically in the control room.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115595"},"PeriodicalIF":2.0,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1016/j.fusengdes.2025.115597
N. Rispoli , A. Pecorelli , L. Figini , C. Sozzi , D. Busi , F. Braghin , E. Alessi
The reduction or suppression of magneto-hydrodynamic instabilities, such as Neoclassical Tearing Modes (NTMs), can be performed through localized current driven by Electron Cyclotron Heating and Current Drive (ECH&CD). In this paper, we show that the proper aiming of a steerable antenna can be obtained using a suitable layout of an array of Electron Cyclotron Emission diagnostics (ECE imaging). The diagnostic principle leading to the adoption of ECE imaging is to exploit propagation reciprocity at electron cyclotron frequencies, which allows for the implementation of control strategies such as the In-Line (van den Brand et al., 2018) and the Quasi-In-Line (Sozzi et al., 2023) control schemes (I-L and Q-I-L schemes). However, these schemes require equipping a dedicated ECE diagnostic with at least a movable antenna.
This contribution is based on simulations obtained for a DEMO-like reactor to demonstrate the feasibility of NTM control schemes based on information provided by an ECE imaging diagnostic, which uses a set of fixed Lines-of-Sight (LoS). Towards the design of a diagnostic layout suitable for the use in real machines, the following questions are here addressed: First, we evaluate the number of LoS required to satisfy the strict alignment precision necessary in a DEMO-like reactor and then provide a pre-conceptual design. Finally, the performance that could be obtained by a control system adopting such a diagnostic is evaluated and compared with the I-L and the Q-I-L schemes mentioned above.
通过电子回旋加热和电流驱动(ECH&;CD)驱动的局部电流,可以降低或抑制磁流体动力学不稳定性,如新经典撕裂模式(ntm)。在本文中,我们证明了通过电子回旋发射诊断阵列(ECE成像)的适当布局可以获得适当的定向天线。采用ECE成像的诊断原理是利用电子回旋频率下的传播互易性,这允许实施控制策略,如在线(van den Brand等人,2018)和准在线(Sozzi等人,2023)控制方案(I-L和Q-I-L方案)。然而,这些方案需要配备一个专用的ECE诊断设备,至少有一个可移动的天线。这一贡献是基于对demo样反应器的模拟,以证明基于ECE成像诊断提供的信息的NTM控制方案的可行性,该诊断使用一组固定的视线(LoS)。为了设计适合实际机器使用的诊断布局,这里解决了以下问题:首先,我们评估了满足演示式反应器所需的严格对准精度所需的LoS数量,然后提供了一个概念前设计。最后,对采用这种诊断方法的控制系统所能获得的性能进行了评估,并与上述的I-L和Q-I-L方案进行了比较。
{"title":"Pre-conceptual design of ECE Imaging for real time NTM control","authors":"N. Rispoli , A. Pecorelli , L. Figini , C. Sozzi , D. Busi , F. Braghin , E. Alessi","doi":"10.1016/j.fusengdes.2025.115597","DOIUrl":"10.1016/j.fusengdes.2025.115597","url":null,"abstract":"<div><div>The reduction or suppression of magneto-hydrodynamic instabilities, such as Neoclassical Tearing Modes (NTMs), can be performed through localized current driven by Electron Cyclotron Heating and Current Drive (ECH&CD). In this paper, we show that the proper aiming of a steerable antenna can be obtained using a suitable layout of an array of Electron Cyclotron Emission diagnostics (ECE imaging). The diagnostic principle leading to the adoption of ECE imaging is to exploit propagation reciprocity at electron cyclotron frequencies, which allows for the implementation of control strategies such as the In-Line (van den Brand et al., 2018) and the Quasi-In-Line (Sozzi et al., 2023) control schemes (I-L and Q-I-L schemes). However, these schemes require equipping a dedicated ECE diagnostic with at least a movable antenna.</div><div>This contribution is based on simulations obtained for a DEMO-like reactor to demonstrate the feasibility of NTM control schemes based on information provided by an ECE imaging diagnostic, which uses a set of fixed Lines-of-Sight (LoS). Towards the design of a diagnostic layout suitable for the use in real machines, the following questions are here addressed: First, we evaluate the number of LoS required to satisfy the strict alignment precision necessary in a DEMO-like reactor and then provide a pre-conceptual design. Finally, the performance that could be obtained by a control system adopting such a diagnostic is evaluated and compared with the I-L and the Q-I-L schemes mentioned above.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115597"},"PeriodicalIF":2.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.fusengdes.2025.115593
Sixiang Zhao , Binghua Ren , Yuan Zhang
Joining the W/Cu flat tiles fabricated with vacuum casting to RAFM steel via brazing provides an alternative route for blanket manufacturing. Reducing the thickness of pure Cu in W/Cu tiles is favorable from the perspective of minimizing neutron irradiation-induced activation, and obtaining proper microstructures and properties of RAFM steel after the brazing thermal cycle is vital for component commissioning. This study concerns the above issues. The screening experiment reveals that the pure Cu layer is susceptible to alloying with elements that migrated from CuNiMn filler metal. By reducing the thickness of the original Cu layer in the W/Cu tiles to 0.15 ± 0.05 mm through machining, a small-scale mock-up has been successfully brazed. The retained pure Cu layer has a thickness of ∼90 μm, and results show that it can effectively relax thermal stresses. The RAFM steel subjected to the brazing thermal cycle contains less martensite than that heat-treated according to the recommended regulations. Our discussion indicates that this problem can be solved by introducing an enhanced cooling method, which can provide a constant cooling rate while preventing interfacial cracking, or by adopting an RAFM steel requiring a smaller critical cooling rate.
{"title":"Brazing between W/Cu flat tiles and RAFM steel considering the thickness limit of Cu layer and the microscopic evolution of RAFM","authors":"Sixiang Zhao , Binghua Ren , Yuan Zhang","doi":"10.1016/j.fusengdes.2025.115593","DOIUrl":"10.1016/j.fusengdes.2025.115593","url":null,"abstract":"<div><div>Joining the W/Cu flat tiles fabricated with vacuum casting to RAFM steel via brazing provides an alternative route for blanket manufacturing. Reducing the thickness of pure Cu in W/Cu tiles is favorable from the perspective of minimizing neutron irradiation-induced activation, and obtaining proper microstructures and properties of RAFM steel after the brazing thermal cycle is vital for component commissioning. This study concerns the above issues. The screening experiment reveals that the pure Cu layer is susceptible to alloying with elements that migrated from CuNiMn filler metal. By reducing the thickness of the original Cu layer in the W/Cu tiles to 0.15 ± 0.05 mm through machining, a small-scale mock-up has been successfully brazed. The retained pure Cu layer has a thickness of ∼90 μm, and results show that it can effectively relax thermal stresses. The RAFM steel subjected to the brazing thermal cycle contains less martensite than that heat-treated according to the recommended regulations. Our discussion indicates that this problem can be solved by introducing an enhanced cooling method, which can provide a constant cooling rate while preventing interfacial cracking, or by adopting an RAFM steel requiring a smaller critical cooling rate.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115593"},"PeriodicalIF":2.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.fusengdes.2025.115555
M. Cappelli , A. Cardinali , V.K. Zotta , G. Pucella , M. Brambilla , S. Gabriellini , R. Gatto , M. Zerbini , L. Garzotti , D. Van Eester , JET contributors , WPTE Team
Real-time control using Ion Cyclotron Resonance Heating (ICRH) has been proposed in JET operational scenarios to counteract temperature hollowing effects. Specifically, in cases of hollow electron temperature profiles, central ion cyclotron resonance heating could be employed to restore temperature peaking based on real-time Electron Cyclotron Emission (ECE) data. ICRH has been utilized to optimize the plasma ramp-down process, correcting the discharge's end and preventing plasma disruption. Before designing the real-time controller, it is necessary to carefully evaluate the ability of the ICRH to recover the temperature profile by depositing the power emitted in the desired way. For this purpose, the presented work conducted simulations of a JET discharge to evaluate power deposition using a full wave code (TORIC). To quantify the power transferred from hydrogen ions to electrons, a quasi-linear analysis was conducted. The effects of ICRH application on the power balance were assessed through predictive transport analysis using the JINTRAC suite of codes. The integrated study's findings demonstrate the potential of utilizing ICRH alongside ECE measurements for real-time control of the electron temperature profile, offering valuable insights for future plasma control strategies and advanced tokamak operation.
{"title":"The effect of minority heating on the electron temperature profile recovery using ICRH for future real-time control applications in tokamak plasmas","authors":"M. Cappelli , A. Cardinali , V.K. Zotta , G. Pucella , M. Brambilla , S. Gabriellini , R. Gatto , M. Zerbini , L. Garzotti , D. Van Eester , JET contributors , WPTE Team","doi":"10.1016/j.fusengdes.2025.115555","DOIUrl":"10.1016/j.fusengdes.2025.115555","url":null,"abstract":"<div><div>Real-time control using Ion Cyclotron Resonance Heating (ICRH) has been proposed in JET operational scenarios to counteract temperature hollowing effects. Specifically, in cases of hollow electron temperature profiles, central ion cyclotron resonance heating could be employed to restore temperature peaking based on real-time Electron Cyclotron Emission (ECE) data. ICRH has been utilized to optimize the plasma ramp-down process, correcting the discharge's end and preventing plasma disruption. Before designing the real-time controller, it is necessary to carefully evaluate the ability of the ICRH to recover the temperature profile by depositing the power emitted in the desired way. For this purpose, the presented work conducted simulations of a JET discharge to evaluate power deposition using a full wave code (TORIC). To quantify the power transferred from hydrogen ions to electrons, a quasi-linear analysis was conducted. The effects of ICRH application on the power balance were assessed through predictive transport analysis using the JINTRAC suite of codes. The integrated study's findings demonstrate the potential of utilizing ICRH alongside ECE measurements for real-time control of the electron temperature profile, offering valuable insights for future plasma control strategies and advanced tokamak operation.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115555"},"PeriodicalIF":2.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.fusengdes.2025.115592
Ronny Rives, LLuís Batet
Reliable prediction of magnetohydrodynamic (MHD) pressure losses in liquid-metal breeding blankets is essential for DEMO reactor design. In the European Dual Coolant Lead–Lithium (EU-DCLL) concept, manifold expansions and contractions are expected to dominate the total pressure drop. This work investigates the three-dimensional (3D) MHD pressure drop associated with a sudden expansion representative of the EU-DCLL bottom manifold, using a customized OpenFOAM solver. The solver is validated against analytical solutions and benchmark numerical codes, demonstrating superior stability and mesh efficiency. A set of 45 simulations is conducted for expansion ratios 4–8, Hartmann numbers 1000–5000, and Reynolds numbers 50–2000, spanning the viscous–electromagnetic (VE), inertial–electromagnetic (IE), and intermediate (IVE) regimes. The results reveal complex 3D current loops and flow reversals at high Hartmann numbers. Building on the Rhodes et al. (2018) formulation, we propose a modified correlation with a finite asymptotic term, applicable across VE, IVE, and IE regimes. The new model captures the numerical database with excellent accuracy and predicts a 3D MHD pressure drop of under EU-DCLL operating conditions. These findings improve the theoretical consistency of MHD pressure-loss modeling and support manifold optimization for future DEMO blanket designs.
{"title":"Numerical investigation of 3D MHD pressure drop in a prototypical fusion blanket manifold using OpenFOAM","authors":"Ronny Rives, LLuís Batet","doi":"10.1016/j.fusengdes.2025.115592","DOIUrl":"10.1016/j.fusengdes.2025.115592","url":null,"abstract":"<div><div>Reliable prediction of magnetohydrodynamic (MHD) pressure losses in liquid-metal breeding blankets is essential for DEMO reactor design. In the European Dual Coolant Lead–Lithium (EU-DCLL) concept, manifold expansions and contractions are expected to dominate the total pressure drop. This work investigates the three-dimensional (3D) MHD pressure drop associated with a sudden expansion representative of the EU-DCLL bottom manifold, using a customized OpenFOAM solver. The solver is validated against analytical solutions and benchmark numerical codes, demonstrating superior stability and mesh efficiency. A set of 45 simulations is conducted for expansion ratios 4–8, Hartmann numbers 1000–5000, and Reynolds numbers 50–2000, spanning the viscous–electromagnetic (VE), inertial–electromagnetic (IE), and intermediate (IVE) regimes. The results reveal complex 3D current loops and flow reversals at high Hartmann numbers. Building on the Rhodes et al. (2018) formulation, we propose a modified correlation with a finite asymptotic term, applicable across VE, IVE, and IE regimes. The new model captures the numerical database with excellent accuracy <span><math><mrow><mo>(</mo><mrow><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup><mo>=</mo><mn>0.9914</mn><mo>,</mo><mspace></mspace><mi>R</mi><mi>M</mi><mi>S</mi><mi>E</mi><mo>=</mo><mn>0.0021</mn></mrow><mo>)</mo></mrow></math></span> and predicts a 3D MHD pressure drop of <span><math><mrow><mstyle><mi>Δ</mi></mstyle><msub><mi>P</mi><mrow><mn>3</mn><mi>D</mi></mrow></msub><mo>=</mo><mn>1.50</mn><mspace></mspace><mi>k</mi><mi>P</mi><mi>a</mi></mrow></math></span> under EU-DCLL operating conditions. These findings improve the theoretical consistency of MHD pressure-loss modeling and support manifold optimization for future DEMO blanket designs.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115592"},"PeriodicalIF":2.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.fusengdes.2025.115594
M. Damiano , R. Villari , A. Colangeli , D. Flammini , N. Fonnesu , P. Gaudio , M. Lungaroni , F. Moro , S. Noce , A. Previti , R. Rossi
In fusion reactors, a significant number of neutrons are generated, creating a harsh environment for reactor components. Testing sensitive devices, such as diagnostics and electronics is a key aspect to ensure proper and reliable operations in present and future tokamaks. To address this issue, the development of a dedicated facility is proposed: the GENeuSIS (General Experimental Neutron Systems Irradiation Station) project. GENeuSIS is a novel methodology designed to study and characterize the response of diagnostics, electronics, and other critical components of ITER, when exposed to the FNG (“Frascati Neutron Generator”) 14 MeV neutrons.
The GENeuSIS layout [1] consists of a layered structure made of moderating materials aimed at reproducing the expected neutron and gamma spectra in specific locations of the ITER machine under DT neutron irradiation.
Within this framework, a machine learning model helps automate the process of selection of the best materials and the configuration of assembly layouts to accurately reproduce the desired radiation environment. This work focuses on developing a supervised machine learning model (a neural network), that leverages a database generated from previous three-dimensional calculations of neutron and photon transport made using the Monte Carlo MCNP transport code. These simulations demonstrated the feasibility of GENeuSIS and its reliability in replicating the neutron spectrum in the ITER tokamak Port Interspace (GENeuSIS-I assembly) and the Port Cell (GENeuSIS-II assembly).
The machine learning model aims to streamline the pre-analysis phase and automatically determine the optimal combination of materials to replicate various neutron and gamma energy spectra.
This preliminary study presents the application of this new machine learning methodology to GENeuSIS, focusing first on reproducing fusion spectra given the different materials' configuration. The next step is to determine the best materials' configuration to replicate the ITER-relevant radiation field, given a chosen spectrum.
{"title":"Preliminary study for a machine learning model for GENeuSIS","authors":"M. Damiano , R. Villari , A. Colangeli , D. Flammini , N. Fonnesu , P. Gaudio , M. Lungaroni , F. Moro , S. Noce , A. Previti , R. Rossi","doi":"10.1016/j.fusengdes.2025.115594","DOIUrl":"10.1016/j.fusengdes.2025.115594","url":null,"abstract":"<div><div>In fusion reactors, a significant number of neutrons are generated, creating a harsh environment for reactor components. Testing sensitive devices, such as diagnostics and electronics is a key aspect to ensure proper and reliable operations in present and future tokamaks. To address this issue, the development of a dedicated facility is proposed: the GENeuSIS (General Experimental Neutron Systems Irradiation Station) project. GENeuSIS is a novel methodology designed to study and characterize the response of diagnostics, electronics, and other critical components of ITER, when exposed to the FNG (“Frascati Neutron Generator”) 14 MeV neutrons.</div><div>The GENeuSIS layout [1] consists of a layered structure made of moderating materials aimed at reproducing the expected neutron and gamma spectra in specific locations of the ITER machine under DT neutron irradiation.</div><div>Within this framework, a machine learning model helps automate the process of selection of the best materials and the configuration of assembly layouts to accurately reproduce the desired radiation environment. This work focuses on developing a supervised machine learning model (a neural network), that leverages a database generated from previous three-dimensional calculations of neutron and photon transport made using the Monte Carlo MCNP transport code. These simulations demonstrated the feasibility of GENeuSIS and its reliability in replicating the neutron spectrum in the ITER tokamak Port Interspace (GENeuSIS-I assembly) and the Port Cell (GENeuSIS-II assembly).</div><div>The machine learning model aims to streamline the pre-analysis phase and automatically determine the optimal combination of materials to replicate various neutron and gamma energy spectra.</div><div>This preliminary study presents the application of this new machine learning methodology to GENeuSIS, focusing first on reproducing fusion spectra given the different materials' configuration. The next step is to determine the best materials' configuration to replicate the ITER-relevant radiation field, given a chosen spectrum.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115594"},"PeriodicalIF":2.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-16DOI: 10.1016/j.fusengdes.2025.115596
Paulo Aguayo , Gonzalo Farias , Alejandro González-Ganzábal , Ernesto Fabregas , Teresa Estrada , Boudewijn van Milligen , Alfonso Baciero , Belén López-Miranda , Francisco Medina , Giuseppe A. Rattá Gutiérrez
Magnetically confined fusion devices, such as the stellarator TJ-II, are highly complex infrastructures where plasma evolution is monitored through advanced diagnostic systems. Failures in these diagnostics can result in missing or unreliable data, compromising operational stability and experiment reliability. This work proposes a data-driven nowcasting approach to estimate missing plasma density signals using alternative sensor inputs, specifically validated for Electron Cyclotron Resonance Heating (ECRH) regimes. Our methodology uses a Two-Stage Learning Framework that integrates a Variational Autoencoder for latent feature extraction with Recurrent Neural Network blocks and a Multi-Head Attention mechanism. This architecture is designed to capture long-range temporal dependencies by broadcasting a single latent representation across multiple time steps, thus merging local and global temporal features. Extensive experiments on 201 ECRH-heated discharges from the TJ-II dataset demonstrate that deeper recurrent architectures, particularly those employing Long Short-Term Memory units, significantly outperform alternative models in nowcasting plasma density. The best-performing model achieves superior accuracy with a Weighted Mean Absolute Percentage Error (WMAPE) of 0.0328, complemented by low mean squared error and high coefficients of determination. This proof-of-concept study demonstrates the technical feasibility of deep learning-based nowcasting for diagnostic substitution in well-controlled ECRH operational conditions, establishing a methodological foundation for future extension to broader stellarator regimes.
{"title":"A data-driven approach to estimate plasma density in TJ-II stellarator","authors":"Paulo Aguayo , Gonzalo Farias , Alejandro González-Ganzábal , Ernesto Fabregas , Teresa Estrada , Boudewijn van Milligen , Alfonso Baciero , Belén López-Miranda , Francisco Medina , Giuseppe A. Rattá Gutiérrez","doi":"10.1016/j.fusengdes.2025.115596","DOIUrl":"10.1016/j.fusengdes.2025.115596","url":null,"abstract":"<div><div>Magnetically confined fusion devices, such as the stellarator TJ-II, are highly complex infrastructures where plasma evolution is monitored through advanced diagnostic systems. Failures in these diagnostics can result in missing or unreliable data, compromising operational stability and experiment reliability. This work proposes a data-driven nowcasting approach to estimate missing plasma density signals using alternative sensor inputs, specifically validated for Electron Cyclotron Resonance Heating (ECRH) regimes. Our methodology uses a Two-Stage Learning Framework that integrates a Variational Autoencoder for latent feature extraction with Recurrent Neural Network blocks and a Multi-Head Attention mechanism. This architecture is designed to capture long-range temporal dependencies by broadcasting a single latent representation across multiple time steps, thus merging local and global temporal features. Extensive experiments on 201 ECRH-heated discharges from the TJ-II dataset demonstrate that deeper recurrent architectures, particularly those employing Long Short-Term Memory units, significantly outperform alternative models in nowcasting plasma density. The best-performing model achieves superior accuracy with a Weighted Mean Absolute Percentage Error (WMAPE) of 0.0328, complemented by low mean squared error and high coefficients of determination. This proof-of-concept study demonstrates the technical feasibility of deep learning-based nowcasting for diagnostic substitution in well-controlled ECRH operational conditions, establishing a methodological foundation for future extension to broader stellarator regimes.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115596"},"PeriodicalIF":2.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-16DOI: 10.1016/j.fusengdes.2025.115573
Martin E. Stiehler, Konstantinos Georgarakis
Nuclear fusion (NF) imposes unprecedented requirements on materials involved. Metallic glasses (MGs) offer an impressive set of properties that hold promise to overcome related challenges. These properties range from high corrosion resistance over high mechanical strength to high radiation tolerance including possible self-healing of irradiation-induced structural changes. Their high compositional flexibility allows MGs to be designed for optimal use in various areas of NF devices. Here we provide an introduction as to how these unique properties and related manufacturing processes can be exploited for a multitude of applications in NF. An outline of a development roadmap to expedite efforts in this direction is given.
{"title":"Metallic glasses — Versatile radiation-tolerant materials for nuclear fusion applications","authors":"Martin E. Stiehler, Konstantinos Georgarakis","doi":"10.1016/j.fusengdes.2025.115573","DOIUrl":"10.1016/j.fusengdes.2025.115573","url":null,"abstract":"<div><div>Nuclear fusion (NF) imposes unprecedented requirements on materials involved. Metallic glasses (MGs) offer an impressive set of properties that hold promise to overcome related challenges. These properties range from high corrosion resistance over high mechanical strength to high radiation tolerance including possible self-healing of irradiation-induced structural changes. Their high compositional flexibility allows MGs to be designed for optimal use in various areas of NF devices. Here we provide an introduction as to how these unique properties and related manufacturing processes can be exploited for a multitude of applications in NF. An outline of a development roadmap to expedite efforts in this direction is given.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115573"},"PeriodicalIF":2.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.fusengdes.2025.115583
S. Stemmley , B. Moore , D. O’Dea , R. Trendler , P.F. Buxton , P. Bunting , K. Moshkunov , M. Gryaznevich , D.N. Ruzic
Liquid lithium as a plasma-facing material has been shown to be beneficial to the performance of fusion plasmas due to it being low-Z and its strong gettering ability. A design that allows lithium to be circulated and cleaned ensures that lithium does not become saturated with fusion fuel and impurities. A liquid lithium loop has been developed at the University of Illinois with custom pumps and flowmeters to implement recirculating flow on a free-surface plasma-facing component. To de-risk and calibrate these components, a U-shaped vacuum chamber was constructed, enabling lithium to be pumped from a large reservoir tank, through a flowmeter, and into a level measurement chamber. A custom liquid level probe based on time domain reflectometry (TDR) with a 3 mm spatial resolution and a 1 ms temporal resolution was designed and constructed. The TDR probe was calibrated ex-situ and then used to calibrate the voltage signal from a direct current (DC) conduction flowmeter. The liquid level in the U-shaped vacuum chamber was measured as a function of time, allowing the mass flow rate of the lithium to be measured and matched to the flowmeter voltage signal. Flow rates up to 10 g s-1 were measured and a calibration factor of µV g-1 s was determined for the custom DC conduction flowmeter.
液态锂作为等离子体表面材料,由于其低z和强吸散能力,已被证明有利于聚变等离子体的性能。允许锂循环和清洁的设计确保锂不会因聚变燃料和杂质而饱和。伊利诺伊大学(University of Illinois)开发了一种液体锂回路,配备了定制泵和流量计,可以在自由表面等离子体组件上实现再循环流动。为了降低风险并校准这些组件,设计了一个u形真空室,可以将锂从大型储液罐中抽出,通过流量计进入液位测量室。设计并制作了空间分辨率为3mm、时间分辨率为1ms的基于时域反射的定制液位探头。TDR探头在非原位校准,然后用于校准直流(DC)传导流量计的电压信号。测量u形真空室中的液位作为时间的函数,从而测量锂的质量流量,并与流量计电压信号匹配。测量了高达10 g s-1的流量,并确定了定制直流传导流量计的校准因子为158±13µV g-1 s。
{"title":"Time domain reflectometry liquid level probe for the calibration of liquid lithium direct current conduction flowmeters","authors":"S. Stemmley , B. Moore , D. O’Dea , R. Trendler , P.F. Buxton , P. Bunting , K. Moshkunov , M. Gryaznevich , D.N. Ruzic","doi":"10.1016/j.fusengdes.2025.115583","DOIUrl":"10.1016/j.fusengdes.2025.115583","url":null,"abstract":"<div><div>Liquid lithium as a plasma-facing material has been shown to be beneficial to the performance of fusion plasmas due to it being low-Z and its strong gettering ability. A design that allows lithium to be circulated and cleaned ensures that lithium does not become saturated with fusion fuel and impurities. A liquid lithium loop has been developed at the University of Illinois with custom pumps and flowmeters to implement recirculating flow on a free-surface plasma-facing component. To de-risk and calibrate these components, a U-shaped vacuum chamber was constructed, enabling lithium to be pumped from a large reservoir tank, through a flowmeter, and into a level measurement chamber. A custom liquid level probe based on time domain reflectometry (TDR) with a 3<!--> <!-->mm spatial resolution and a 1<!--> <!-->ms temporal resolution was designed and constructed. The TDR probe was calibrated ex-situ and then used to calibrate the voltage signal from a direct current (DC) conduction flowmeter. The liquid level in the U-shaped vacuum chamber was measured as a function of time, allowing the mass flow rate of the lithium to be measured and matched to the flowmeter voltage signal. Flow rates up to 10<!--> <!-->g<!--> <!-->s<sup>-1</sup> were measured and a calibration factor of <span><math><mrow><mn>158</mn><mo>±</mo><mn>13</mn></mrow></math></span> µV<!--> <!-->g<sup>-1</sup> <!-->s was determined for the custom DC conduction flowmeter.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115583"},"PeriodicalIF":2.0,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-13DOI: 10.1016/j.fusengdes.2025.115591
C.S. Ding , X.F. Xie , X.Y. Li , Y.J. Fu , H. Wang , R. Liu , X.B. Wu , X.P. Wang , Z.M. Xie
In this work, single-crystal W and W-ZrC alloys were irradiated with 500 keV helium (He) ions at both RT and 400 °C. Microstructural characterization revealed that both He bubble and dislocation loop densities within the grains of single-crystal W were higher than those in the W-ZrC alloy. The reduction in defect density in grains of W-ZrC is attributed to the presence of grain boundaries (GBs) and phase boundaries (PBs), which serve as effective sinks and provide preferential nucleation sites for irradiation-induced defects. Notably, PBs exhibited higher sink strength than GBs, resulting in the formation of He bubbles with greater size and density at PBs. Nanoindentation tests showed that single-crystal W exhibited more pronounced irradiation-induced hardening, with hardness increments of 2.8 GPa at room temperature (RT) and 2.3 GPa at 400 °C, which are higher than those of the W-ZrC alloy, demonstrating the enhanced irradiation tolerance of W-ZrC. The dispersed barrier hardening (DBH) model was employed to quantify the respective contributions of He bubbles and dislocation loops to hardening. The results indicated that He bubbles contributed approximately twice the hardening increment of dislocation loops in both materials. These findings clarify the critical role of interfaces in mediating defect evolution and irradiation responses, providing guidance for the design of W-based materials with improved irradiation tolerance for fusion applications.
{"title":"Distribution of He bubbles and dislocation loops in single-crystal W and W-ZrC materials after He2+ ion irradiation","authors":"C.S. Ding , X.F. Xie , X.Y. Li , Y.J. Fu , H. Wang , R. Liu , X.B. Wu , X.P. Wang , Z.M. Xie","doi":"10.1016/j.fusengdes.2025.115591","DOIUrl":"10.1016/j.fusengdes.2025.115591","url":null,"abstract":"<div><div>In this work, single-crystal W and W-ZrC alloys were irradiated with 500 keV helium (He) ions at both RT and 400 °C. Microstructural characterization revealed that both He bubble and dislocation loop densities within the grains of single-crystal W were higher than those in the W-ZrC alloy. The reduction in defect density in grains of W-ZrC is attributed to the presence of grain boundaries (GBs) and phase boundaries (PBs), which serve as effective sinks and provide preferential nucleation sites for irradiation-induced defects. Notably, PBs exhibited higher sink strength than GBs, resulting in the formation of He bubbles with greater size and density at PBs. Nanoindentation tests showed that single-crystal W exhibited more pronounced irradiation-induced hardening, with hardness increments of 2.8 GPa at room temperature (RT) and 2.3 GPa at 400 °C, which are higher than those of the W-ZrC alloy, demonstrating the enhanced irradiation tolerance of W-ZrC. The dispersed barrier hardening (DBH) model was employed to quantify the respective contributions of He bubbles and dislocation loops to hardening. The results indicated that He bubbles contributed approximately twice the hardening increment of dislocation loops in both materials. These findings clarify the critical role of interfaces in mediating defect evolution and irradiation responses, providing guidance for the design of W-based materials with improved irradiation tolerance for fusion applications.</div></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"224 ","pages":"Article 115591"},"PeriodicalIF":2.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}