Results 131 to 140 of about 633,276 (268)

TRPV1 is crucial for thermal homeostasis in the mouse by heat loss behaviors under warm ambient temperature. [PDF]

Sci Rep, 2020
Yonghak P, Miyata S, Kurganov E.
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Conductive heat loss in simulated outdoor settings: a preliminary experimental human study. [PDF]

Int J Emerg Med
Sanak T, Putowski M, Krzeptowski-Sabała S, Pobędza J, Walczak P, Mendrala K, Darocha T, Kosiński S.   +7 more
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

Heat loss evaluation for heating building envelope based on relevance vector machine. [PDF]

PLoS One
Yue J, Lu J, Yue Y, Pan Y.
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Correction to ''Heat Loss Quantification and Heat Transfer in Rotary Kilns for Calcination and Clinker Formation: From Combustion and Electrification at 150 kW to Industrial Scale''. [PDF]

Ind Eng Chem Res
Qasim I, Gunnarsson A, Normann F, Wilhelmsson B, Zether A, Andersson K.   +5 more
europepmc   +1 more source

Variations in Athlete Heat-Loss Potential Between Hot-Dry and Warm-Humid Environments at Equivalent Wet-Bulb Globe Temperature Thresholds. [PDF]

J Athl Train, 2020
Vanos JK, Grundstein AJ.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Elevated Humidity Impairs Evaporative Heat Loss and Self-Paced Exercise Performance in the Heat. [PDF]

Scand J Med Sci Sports
Bright FM, Clark B, Jay O, Périard JD.
europepmc   +1 more source