Results 301 to 310 of about 17,487,572 (398)
A new experimental setup, incorporating digital image correlation and infrared thermography in combination with inductive‐conductive heating for precise temperature control, is used to analyze the mechanical behavior and microstructural changes of sheet metal under complex thermomechanical test conditions that represent quench and partitioning ...
Christian Illgen +4 more
wiley +1 more source
Assessment of water quality for human consumption in the municipality of Manicoré-am. [PDF]
Lima ELF +6 more
europepmc +1 more source
Development of Aluminum Scandium Alloys for Hydrogen Storage Valves
Different aluminum alloy series and various aluminum‐scandium alloys with differing Sc and Zr levels are evaluated for use in hydrogen storage valve production. The alloys undergo hardness testing, optical microscopy, and tensile strength analysis, with hardening behavior studied under varying conditions.
Francisco García‐Moreno +4 more
wiley +1 more source
Water injustice in Colombia: Perceptions and realities of water quality examined through advanced machine learning. [PDF]
Henao-Rodríguez C, Lis-Gutiérrez JP.
europepmc +1 more source
High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt +3 more
wiley +1 more source
Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants. [PDF]
Prabu P +3 more
europepmc +1 more source
This work reveals the phase composition and quantitative morphology analysis of precipitation‐hardened Fe32Cu12Ni11Ti16Al29 complex‐concentrated alloy. The precipitates are shown to have a high coherency. Morphology transition between sphere, cuboidal, and elongated morphology is observed. Finally, the overaging behavior is captured using microhardness.
Rostyslav Nizinkovskyi +4 more
wiley +1 more source
Machine Learning on Low-Cost Edge Devices for Real-Time Water Quality Prediction in Tilapia Aquaculture. [PDF]
Nuangpirom P +5 more
europepmc +1 more source
A laboratory‐scale procedure is developed to evaluate the efficiency of melt‐cleaning and drossing fluxes during aluminium alloy recycling, studying their effects on melt cleanliness and tensile properties of secondary foundry alloys. This work provides a practical tool for foundries and aluminium refiners to assess the efficiency of salt fluxes in ...
Veronica Milani, Giulio Timelli
wiley +1 more source

