Results 331 to 340 of about 8,286,998 (397)

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

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

Advanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli, Manel Rodríguez Ripoll, Sabine Schwarz, Ali Erdemir, Maria Clelia Righi, Carsten Gachot   +5 more
wiley   +1 more source

Improved efficacy behavioral modeling of microwave circuits through dimensionality reduction and fast global sensitivity analysis. [PDF]

Sci Rep
Koziel S, Pietrenko-Dabrowska A, Leifsson L.   +2 more
europepmc   +1 more source

A Novel Simulation Approach for Damage Evolution during Tailored Forming

Advanced Engineering Materials, EarlyView.
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu, Dustin Roman Jantos, Philipp Junker   +2 more
wiley   +1 more source

A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning. [PDF]

Sensors (Basel)
Song W, Zhang X, Yang G, Chen Y, Wang L, Xu H.   +5 more
europepmc   +1 more source

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

Advanced Engineering Materials, EarlyView.
Ice accretion impacts daily life, renewable energy generation, maintenance, and security in industries and aeronautics. Acoustic waves (AW) are a promising method for ice removal, although de‐icing mechanisms require further investigation to optimize energy efficiency.
Shilpi Pandey, Jaime del Moral, Stefan Jacob, Laura Montes, Jorge Gil‐Rostra, Alejandro Frechilla, Atefeh Karimzadeh, Victor J. Rico, Raul Kanter, Niklas Kandelin, Carmen López‐Santos, Heli Koivuluoto, Luis Angurel, Andreas Winkler, Ana Borrás, Agustin R. González‐Elipe   +15 more
wiley   +1 more source

Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods. [PDF]

Environ Sci Pollut Res Int
Carreres-Prieto D, Fernandez-Blanco E, Rivero D, Rabuñal JR, Anta J, García JT.   +5 more
europepmc   +1 more source

Development of a Novel Processing Route for Dispersoid/Precipitation‐Strengthened High Conductive Copper Alloys by Using Metalized Nanoceramics in Additive Manufacturing

Advanced Engineering Materials, EarlyView.
This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel, Abdelrahman Elsayed, Lukas Mielewczyk, Katja Eichmann, Julia Grothe, Ulrich Krupp, Avinash Hariharan, Katrin Jahns   +7 more
wiley   +1 more source

Dimensionality reduction beyond neural subspaces with slice tensor component analysis. [PDF]

Nat Neurosci
Pellegrino A, Stein H, Cayco-Gajic NA.
europepmc   +1 more source

Trans‐Conductive Melt Pool Scaling and its Implications for Parameter Transfer in Laser Powder Bed Fusion for Metals with High Thermal Diffusivity

Advanced Engineering Materials, EarlyView.
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring, Matthias Gehring, Michael Schmidt   +2 more
wiley   +1 more source