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UKAEA-RACE-CP(24)012023
In this paper we propose a multi-robot path planning algorithm that integrates a Vector Field Histogram (VFH) algorithm and fuzzy logic controller inspired by International Regulations for Preventing Collisions at Sea (COLREGs) traffic rules with a collision area membership function that identifies suitable traffic procedures for each robot to t…
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UKAEA-CCFE-PR(23)1902023
In the hot metal forming processes, materials deform viscoplastically and the microstructure of materials changes dynamically, and constitutive equations used to characterize the material flow and microstructure evolution during the deformation can be complicated. Although different types of constitutive equations have been proposed by many researc…
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UKAEA-CCFE-PR(23)1742022
Understanding the effects of interfacial micro-structures/-defects such as voids, grain boundaries (GB) and partial recrystallization (Rx) is critical to achieving superior mechanical properties for safety-critical parts. These features may appear during advanced manufacturing processes such as sintering, additive manufacturing (AM), and diffusi…
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UKAEA-CCFE-PR(22)512022
Stainless-steel 316L is one of the widely used structural materials in the nuclear industry, because of its excellent corrosion resistance and mechanical properties. However, very few researches can be found on its viscoplastic behavior and microstructure evolution at warm and hot deformation conditions, which hinder the possible applicat…
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UKAEA-CCFE-CP(23)202021
Disruption prediction and avoidance is critical for ITER and reactor-scale tokamaks to maintain steady plasma operation and to avoid damage to device components. The present status and results from the disruption event characterization and forecasting (DECAF) research effort are shown. The DECAF paradigm is primarily physics-based and provides q…
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UKAEA-CCFE-CP(23)152021
In preparation for high fusion plasma performance operation of the newly operating spherical tokamak MAST-U, the equilibrium and stability properties of plasmas in the MAST database, as well as projections for MAST-U, are explored. The disruption event characterization and forecasting (DECAF) code is utilized to map disruptions in MAST, particul…
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UKAEA-CCFE-PR(21)792021
Reconstructions of plasma equilibria using magnetic sensors and a Dα constraint were routine during operation of the MAST spherical tokamak, but reconstructions using kinetic profiles was not. These are necessary for stability and disruption analysis of the MAST database, as well as going forward for operation in the upgrade to the device, MAST…
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UKAEA-CCFE-PR(21)702021
Multi-component alloys are emerging as promising metallic materials for cryogenic applications for their excellent combination of high ultimate tensile strength and good ductility. But their low yield strength can severely limit their applications. Lattice distortion is emerging as a feasible method in overcoming this dilemma. Here, we investigate …
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UKAEA-CCFE-PR(20)1392020
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UKAEA-CCFE-CP(20)1012020
Disruption prediction and avoidance is critical in ITER and reactor-scale tokamaks to maintain steady plasma operation and to avoid damage to device components. The present status and results from the physics-based disruption event characterization and forecasting (DECAF) research effort are shown for multiple tokamak devices. Present analysis of K…
Showing 1 - 10 of 12 UKAEA Paper Results