Results 1 to 10 of about 119 (111)

Machine Learning Customized Novel Material for Energy-Efficient 4D Printing. [PDF]

open access: yesAdv Sci (Weinh), 2023
Existing additive‐manufactured commercial metallic powders require time‐ and energy‐consuming post heat treatments (PHT). The unique intrinsic heat treatment (IHT) in additive manufacturing offers an opportunity for material innovations. This work customized a “green metal” by machine learning, highlighting the high feasibility of 4D printing via ...
Tan C   +11 more
europepmc   +2 more sources

The Effect of Precipitate Evolution on Austenite Grain Growth in RAFM Steel. [PDF]

open access: yesMaterials (Basel), 2017
To study the effects of various types of precipitates and precipitate evolution behavior on austenite (size and phase fraction) in reduced activation ferritic/martensitic (RAFM) steel, RAFM steel was heated to various austenitizing temperatures. The microstructures of specimens were observed using optical microscopy (OM) and transmission electron ...
Yan B   +6 more
europepmc   +4 more sources

Impact of seeded plasma impurities on D retention in RAFM steels

open access: yesNuclear Materials and Energy, 2020
The effect of He seeding (He+ ion fraction, cHe+, of ~5 and ~10%) to D plasma (ion flux ~ 1.5–2 × 1021 m−2s−1, sample temperature ~ 373 K, and incident ion energy ~ 100 eV) on D retention in various reduced-activation ferritic/martensitic (RAFM) steels is investigated in the PISCES-A linear plasma device.
Marlene Patino   +2 more
exaly   +3 more sources

Microstructure characterization of ODS-RAFM steels [PDF]

open access: yesMRS Proceedings, 2008
ABSTRACTResults of the microstructural characterization of four different RAFM ODS Eurofer 97 batches are presented and discussed. Analyses and observations were performed by nuclear microprobe and scanning and transmission electron microscopy. X-ray elemental distribution maps obtained with proton beam scans showed homogeneous composition within the ...
R. Mateus   +9 more
openaire   +1 more source

Data‐driven and artificial intelligence accelerated steel material research and intelligent manufacturing technology

open access: yesMaterials Genome Engineering Advances, Volume 1, Issue 1, September 2023., 2023
This work presents a concise overview of the deeply integrated and collaborative innovation of data‐driven and artificial intelligence‐based methods throughout the steel material life cycle, covering steel materials databases, steel materials design and discovery, manufacturing, and service performance evaluation, and looks forward to its development ...
Xiaoxiao Geng   +8 more
wiley   +1 more source

Sun, heat and electricity. A comprehensive study of non‐pollutant alternatives to produce green hydrogen

open access: yesInternational Journal of Energy Research, Volume 46, Issue 13, Page 17999-18028, 25 October 2022., 2022
Critical analysis over time of hydrogen production techniques based on water splitting. Chronological revision about photolysis, thermolysis and electrolysis. Historical achievements and current advances are presented. Technical comparison of water splitting‐based hydrogen production alternatives.
Julio José Caparrós Mancera   +4 more
wiley   +1 more source

Heterogeneous design and mechanical analysis of HELIAS 5‐B helium‐cooled pebble bed breeding blanket concept

open access: yesInternational Journal of Energy Research, Volume 46, Issue 3, Page 2748-2770, 10 March 2022., 2022
Summary One of the most challenging objectives of the European research concerning nuclear fusion technology, promoted by the EUROfusion consortium, is to bring stellarator‐type nuclear fusion devices to maturity. To this purpose, studies on a large HELIcal‐axis advanced stellarator (HELIAS), extrapolated from Wendelstein 7‐X and based on a 5‐fold ...
Gaetano Bongiovì   +3 more
wiley   +1 more source

Machine learning for material characterization with an application for predicting mechanical properties

open access: yesGAMM-Mitteilungen, Volume 44, Issue 1, March 2021., 2021
Abstract Currently, the growth of material data from experiments and simulations is expanding beyond processable amounts. This makes the development of new data‐driven methods for the discovery of patterns among multiple lengthscales and time‐scales and structure‐property relationships essential.
Anke Stoll, Peter Benner
wiley   +1 more source

Friction Stir Welding of ODS and RAFM Steels [PDF]

open access: yesMetallurgical and Materials Transactions E, 2015
Advanced structural materials such as oxide dispersion strengthened steels and reduced-activation ferritic/martensitic steels are desired in fusion reactors as primary candidate materials for first wall and blanket structures, due to their excellent radiation and high-temperature creep resistance.
Zhenzhen Yu   +4 more
openaire   +1 more source

PLEPS study of ions implanted RAFM steels

open access: yesJournal of Physics: Conference Series, 2014
Current nuclear power plants (NPP) require radiation, heat and mechanical resistance of their structural materials with the ability to stay operational during NPP planned lifetime. Radiation damage much higher, than in the current NPP, is expected in new generations of nuclear power plants, such as Generation IV and fusion reactors.
S Sojak   +7 more
openaire   +1 more source

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