Results 211 to 220 of about 142,824 (305)

Evaluating Plasma Torches as a Low‐Decarburization Preheating Method for MgO–C Refractory Linings

steel research international, EarlyView.
This study evaluates direct current (DC) plasma torches using nitrogen as an alternative preheating method for magnesia‐carbon (MgO–C) refractory‐lined ladles. Full‐scale trials at 0.7 and 1.5 MW are compared to conventional gas burner. Plasma‐heated samples show lower decarburization and improved surface integrity due to partial sintering and reduced ...
Marcus Holmström, Alvaro Rubio Ordoñez, Roberto Caballero Carlon, Björn Glaser   +3 more
wiley   +1 more source

Recent advances of non‐invasive sensors for smart wearable respiratory monitoring

VIEW, EarlyView.
Respiration contains rich physiological and pathological information, making it one of the most fundamental and continuous vital signs. Respiration monitoring is a non‐invasive and simple, but incredibly powerful, tool for assessing health, managing disease, and tracking fitness.
Jianhui Chen, Baoxiang Yang, Chang Peng, Bao Yang, Licheng Zhou, Zhenyu Jiang, Zejia Liu, Yiping Liu, Liqun Tang   +8 more
wiley   +1 more source

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley   +1 more source

Dynamic Bayesian Network for Continuous Health Index Estimation and Condition Assessment of Power Transformers

High Voltage, EarlyView.
ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li, Hongyu Li, Yi Cui, Yongqiang Kang   +3 more
wiley   +1 more source

Evaluation Methodology, Numerical Verification and Retrofilling Procedure for Power Transformers to Ensure K‐Class Flame Retardancy and Environmentally Friendly

High Voltage, EarlyView.
ABSTRACT With increasing demands for fire safety and environmental friendliness, retrofilling transformers with alternative insulating liquids has become a growing trend. However, retrofilling power transformers remains uncertain, as more residual mineral oil compromises K‐class flame retardancy, and its impact on environmental performance has yet to ...
Zhenfu Tang, Yihua Qian, Dan Zhou, Wei Hu, Feipeng Wang, Yang Xu   +5 more
wiley   +1 more source

An Efficient Method for Transient Temperature Calculation in Oil Natural Transformers Based on the Time‐Space Proper Orthogonal Decomposition

High Voltage, EarlyView.
ABSTRACT A reduced‐order model (ROM) for the temperature field based on time‐space proper orthogonal decomposition (POD) is presented to improve the computational efficiency of transient temperature rise in oil‐immersed power transformers with a complete oil natural convection cooling loop.
Haijuan Lan, Wenhu Tang, Zeyi Zhang, Jiahao Gong, Xiongwen Xu, Goran Strbac   +5 more
wiley   +1 more source

Coupling of a pyrolysis model with CFD for flame spread simulations in case of fire [PDF]

, 2010
Degroote, Joris, Merci, Bart, Rauwoens, Pieter, Vierendeels, Jan   +3 more
core  

Trial‐Based Hemolysis Modeling to Investigate Operating Modes of Continuous‐Flow LVADs

Artificial Organs, EarlyView.
This work presents a methodology for determining online‐capable hemolysis models for continuous‐flow LVADs, derived from in vitro trials. The models are based on fitting a modified power law and applying the Lagrangian approach. They assist clinicians in selecting treatment strategies that minimize hemolysis, as demonstrated with the Sputnik1 LVAD ...
Patrick Borchers, Steffen Leonhardt, Marian Walter   +2 more
wiley   +1 more source

Ophthalmic Artery Morphology and Hemodynamics in Ocular Ischemic Syndrome: A Computational Fluid Dynamics and Particle Image Velocimetry Study. [PDF]

Invest Ophthalmol Vis Sci
Cheng XR, Meng ZY, Feng WT, Tang XL, Li Z, Zhao L, Wang YL, Wang JL.   +7 more
europepmc   +1 more source

Inflation expectations and time variations in the oil price pass‐through

Economic Inquiry, EarlyView.
Abstract Previous literature suggests that the pass‐through of oil price shocks to inflation rates became weaker since the 1970s. I use a time‐varying parameter VAR to show that this trend has recently been reversed with headline and core inflation rates responding more sensitive to oil price shocks. Based on a counterfactual analysis, I offer evidence
Daniel Gründler
wiley   +1 more source