Results 41 to 50 of about 1,030 (174)

Development of a Mechanically Regenerating Desublimator for Freeze‐Drying Systems in the Food Industry

Chemie Ingenieur Technik, EarlyView.
Thermal defrosting limits desublimator efficiency in freeze‐drying. This review and case study compares thermal versus mechanical regeneration, links frost properties and external heat transfer to energy demand, and summarizes pilot‐scale scraping results enabling single‐unit, continuous lyophilization.
Moritz Krummenacher, Mirko Kleingries, Edgar Zimmer, Roman Blättler   +3 more
wiley   +1 more source

A microstructural approach to model heat transfer in snow [PDF]

Geophysical Research Letters, 2005
The relation between heat flow through snow and microstructure is crucial for the comprehension and modeling of thermophysical, chemical, and mechanical properties of snow. This relationship was investigated using heat flux measurements combined with a microstructural numerical approach.
T. U. Kaempfer, M. Schneebeli, S. A. Sokratov   +2 more
openaire   +1 more source

Estimating Snow Water Equivalent with Backscattering at X and Ku Band Based on Absorption Loss

Remote Sensing, 2016
Snow water equivalent (SWE) is a key parameter in the Earth’s energy budget and water cycle. It has been demonstrated that SWE can be retrieved using active microwave remote sensing from space. This necessitates the development of forward models that are
Yurong Cui, Chuan Xiong, Juha Lemmetyinen, Jiancheng Shi, Lingmei Jiang, Bin Peng, Huixuan Li, Tianjie Zhao, Dabin Ji, Tongxi Hu   +9 more
doaj   +1 more source

The Material Basis of 18th‐Century Meissen Porcelain

Archaeometry, EarlyView.
ABSTRACT In the summer of 1708, the quest for making hard‐paste porcelain from Saxonian clay and other mineral resources succeeded. This was achieved by applying as its essential ingredient newly discovered pure kaolin from Heidelsberg near Aue, western Saxon Ore Mountains.
Robert B. Heimann
wiley   +1 more source

Numerical simulation of elastic stress in the microstructure of snow [PDF]

Annals of Glaciology, 2004
AbstractThe mechanical properties of snow depend on its microstructure. The fabric of snow was reconstructed in three dimensions using serial sections or X-ray microtomography. A voxel-based finite-element model, with the elements based on the microstructure and ice as the material, was used to calculate the stress distribution in the snow.
openaire   +1 more source

Numerical homogenization of the viscoplastic behavior of snow based on X-ray tomography images [PDF]

The Cryosphere, 2017
While the homogenization of snow elastic properties has been widely reported in the literature, homogeneous rate-dependent behavior responsible for the densification of the snowpack has hardly ever been upscaled from snow microstructure.
A. Wautier, A. Wautier, A. Wautier, A. Wautier, A. Wautier, C. Geindreau, F. Flin   +6 more
doaj   +1 more source

Effects of Surface Abrasion With Airborne‐Particles and Surface Etching With Hydrofluoric Acid on Color Difference and Translucency of Nano‐Hybrid Ceramic

Journal of Esthetic and Restorative Dentistry, EarlyView.
ABSTRACT Objectives To evaluate the effects of alumina airborne‐particle abrasion, glass‐bead airborne‐particle abrasion, and hydrofluoric acid etching of intaglio surfaces on the color difference and translucency of a nano‐hybrid ceramic after cementation to resin abutment specimens, and to analyze the relationships between surface roughness and these
Hyuk‐Joon Lee, Jin‐Won Jang, Zee‐Hoon Park, Ji‐Hwan Kim   +3 more
wiley   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou, Chentong Zhang, Alek Petty, Xianwei Wang, Ruibo Lei, Wenxuan Liu, Yu Zhang   +6 more
wiley   +1 more source

Effect of snow microstructure variability on Ku-band radar snow water equivalent retrievals [PDF]

The Cryosphere, 2019
Abstract. Spatial variability in snowpack properties negatively impacts our capacity to make direct measurements of snow water equivalent (SWE) using satellites. A comprehensive data set of snow microstructure (94 profiles at 36 sites) and snow layer thickness (9000 vertical profiles across 9 trenches) collected over two winters at Trail Valley Creek ...
Nick Rutter, Melody J. Sandells, Chris Derksen, Joshua King, Peter Toose, Leanne Wake, Tom Watts, Richard Essery, Alexandre Roy, Alain Royer, Philip Marsh, Chris Larsen, Matthew Sturm   +12 more
openaire   +5 more sources

Microstructure-based simulations of the viscous densification of snow and firn

The Cryosphere, 2023
Abstract. Accurate models for the viscous densification of snow and firn under mechanical stress are of primary importance for various applications, including avalanche prediction and the interpretation of ice cores. Formulations of snow and firn compaction in models are still largely empirical, instead of using microstructures from micro-computed ...
K. Fourteau, K. Fourteau, J. Freitag, M. Malinen, H. Löwe   +4 more
openaire   +4 more sources