Results 91 to 100 of about 105,215 (266)

Hydrothermal Alkali‐Assisted Growth of Highly In‐Plane Crystallized Poly(Heptazine Imide) for Photocatalytic H2O2 Production

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A new re‐crystallization strategy was employed to design a highly crystallized poly(heptazine imide) photocatalyst, achieving strong light absorption capacity, accelerated separation/migration of photocarriers, and enhanced proton extraction capability simultaneously.
Xiaojuan Zhi   +11 more
wiley   +1 more source

A Discussion on Progress of Domestic Electric Arc Furnace Steelmaking Technology

open access: yesTeshugang, 2010
Domestic electric arc furnace steelmaking technology including output, equipment technique (large-capacity, advanced eccnomic and technic index), high efficiency technology (ultra-high power supply, auxiliary energy source, diversified charging ...
李士琦, 孙华, 郁健, 裴芬
doaj  

Superionic Conduction Through Lattice Engineering of Fluorites Stabilizing Periodic Oxygen Vacancy Network

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Lattice‐engineered fluorite oxide with periodic oxygen vacancy network achieves superionic conduction, Ce4+–Al3+ fluorite cation ordering enables dielectric‐enhanced superionic conduction, surpassing the limitations of conventional doped electrolytes and high fuel cell performance at low temperature through a flattened energy landscape.
Shahzad Rasool   +18 more
wiley   +1 more source

AI‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The four stages of the research process are as follows: First, data is collected and a database is constructed. This is followed by feature selection and analysis, then the establishment of machine learning models, and finally formulation design and preparation.
Yichuan Tang   +13 more
wiley   +1 more source

Improvement of the process of feeding the slag-foaming material to the electric arc furnace (EAF), using of the sound

open access: yesMetalurgija, 2023
The research described, aimed to determine the value of the sound level (originating exclusively from the operating electric arc) at which the feeding of the slag foaming material to the Electric Arc Furnace (EAF) should start, in correlation with the ...
J. Schwietz, B. Panic
doaj  

Experimental investigation of phase equilibria in the ZrCu-Al system at 500º C [PDF]

open access: yes, 2016
Weight is of a fundamental importance in the performance of aircraft. Finding new materials for the structural elements of an aircraft that are lighter while giving the performance needed is crucial.
Esquerdo Estalella, Eduard   +1 more
core  

Influence of the Cr to Ti Ratio on the High‐Temperature Oxidation Behavior of TaMoCrTiAl Complex Concentrated Alloys in Nitrogen‐Free Atmospheres

open access: yesMaterials and Corrosion, EarlyView.
Ta‐Mo‐Cr‐Ti‐Al refractory high‐entropy alloys show atmosphere‐dependent oxidation performance based on Cr:Ti ratios. Cr‐rich compositions excel in dry oxygen through continuous chromia formation, while Ti‐rich alloys perform better in humid conditions due to reduced chromium volatilization and hydrogen uptake effects.
Fabian Lanoy   +6 more
wiley   +1 more source

Regularización de Tikhonov para estimar los parámetros de un modelo de un horno de arco

open access: yesTecnura, 2013
In this paper, we present a methodology for estimating the parameters of a model for an electrical arc furnace by using Tikhonov regularization. Tikhonov regularization is one of the most widely employed methods for regularization. The model proposed for
Jesser James Marulanda Durango   +3 more
doaj  

Detecting Outliers in Electric Arc Furnace under the Condition of Unlabeled, Imbalanced, Non-stationary and Noisy Data

open access: yesMeasurement + Control, 2018
The presence of outliers is the main reason leading to ineffectiveness of advanced data-driven control methods in electric arc furnace systems. This paper proposes a hybrid method dedicated to detecting outliers in electric arc furnace systems, where ...
Biao Wang, Zhizhong Mao
doaj   +1 more source

Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie   +6 more
wiley   +1 more source

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