Results 171 to 180 of about 1,623,514 (364)

Impact of Surface Roughness on the Yield Drop of Hot‐Rolled AZX311 Mg Alloy

Advanced Engineering Materials, EarlyView.
Rough‐surfaced AZX311 Mg alloy samples have significantly lower yield strength than polished ones due to stress concentrators forming at V‐notch irregularities. Surface profilometry confirms higher Ra values for rough samples. Highest hardness values were observed near scratched surfaces, indicating strain localization effects near the rough surface ...
Hafiz Muhammad Rehan Tariq, Hyun‐Hak Kang, Umer Masood Chaudry, Muhammad Kashif Khan, Tea‐Sung Jun   +4 more
wiley   +1 more source

THE PRECIPITATION OF ENZYMES FROM THEIR SOLUTIONS BY MOIST ALUMINIUM HYDROXIDE. [PDF]

, 1913
Wm. H. Welker, John Kerr Marshall
openalex   +1 more source

Non‐Destructive and Mechanical Characterization of the Bond Quality of Co‐Extruded Titanium‐Aluminum Profiles

Advanced Engineering Materials, EarlyView.
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld, Ahmed Dewidar, Karim Qarbi, Hendrik Wester, Florian Patrick Schäfke, Alexej Verschinin, Hans Jürgen Maier, Sebastian Barton, Christian Klose, Johanna Uhe   +9 more
wiley   +1 more source

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation [PDF]

arXiv
Recently, deep-learning weather forecasting models have surpassed traditional numerical models in terms of the accuracy of meteorological variables. However, there is considerable potential for improvements in precipitation forecasts, especially for heavy precipitation events.
arxiv  

ON THE MECHANISM OF SPECIFIC PRECIPITATION [PDF]

, 1942
William C. Boyd
openalex   +1 more source

KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle

Advanced Engineering Materials, EarlyView.
It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart, Thomas Hanke, Felix Bauer, Hossein Beygi Nasrabadi, Kurt Junghanns, Gordian Dziwis, Ladji Tikana, Ashak Mahmud Parvez, Karl Gerald van den Boogaart, Mohsin Sajjad, Valerie Friedmann, Johannes Preußner, Anantha Narayanan Ramakrishnan, Sandy Klengel, Lars‐Peter Meyer, Michael Martin, Ulrich Ernst Klotz, Birgit Skrotzki, Matthias Weber   +18 more
wiley   +1 more source

Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework [PDF]

arXiv
High-resolution precipitation forecasts are crucial for providing accurate weather prediction and supporting effective responses to extreme weather events. Traditional numerical models struggle with stochastic subgrid-scale processes, while recent deep learning models often produce blurry results.
arxiv  

Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting [PDF]

, 2006
In the past few years sequential data assimilation (SDA) methods have emerged as the best possible method at hand to properly treat all sources of error in hydrological modeling.
Hong, Y, Hsu, K, Moradkhani, H, Sorooshian, S   +3 more
core   +2 more sources

Partitioning and Coarsening Dynamics of Precipitate‐Strengthened Cr‐Si Alloys: The Role of Ge, Pt, and Mo

Advanced Engineering Materials, EarlyView.
The microstructure of Cr‐rich Cr‐Si‐alloys is maintained by alloying with Ge, Pt, and Mo. The effects of these elements on A15‐phase fraction, partitioning, microstructural stability, grain size, and hardness are combinable. Molybdenum is found to be the most promising alloying element for microstructural stability during high‐temperature exposure.
Anke Silvia Ulrich, Petra Pfizenmaier, Michael Kerbstadt, Lucas Pelchen, Ali Solimani, Uwe Glatzel, Mathias Christian Galetz   +6 more
wiley   +1 more source

Evaluation and Improvement of a CALIPSO-Based Algorithm for Cloud Base Height in China

Remote Sensing
Clouds are crucial in regulating the Earth’s energy budget. Global cloud top heights have been easily retrieved from satellite measurements, but there are few methods for determining cloud base height (CBH) from satellite measurements.
Ruolin Li, Xiaoyan Ma
doaj   +1 more source