Results 201 to 210 of about 22,473 (312)

Woven Eutectic Lamellar Structures Lead to Ultrahigh Strength and Energy Absorption Capacity in Additively Manufactured Lattice Structures

Small Structures, Volume 6, Issue 5, May 2025.
Herein, AlCoCrFeNi2.1 is selected to produce lattice structures by selective laser melting. The as‐printed lattice structures consist of numerous colonies of nanosized eutectic lamellar structures which are bent and interwind with each other to form a woven microstructure. The unique microstructure leads to unprecedented effective metal strength, yield
Zhiyong Ji, Xingyu Pan, Longlong Wang, Xintian Wang, Xu Chen, Hanwei Fu, Chunlei Qiu   +6 more
wiley   +1 more source

Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion

Artificial Intelligence for Engineering, EarlyView.
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley   +1 more source

Deformation-Induced Martensite-Martensite Interaction in 304 Austenite Stainless Steels Subjected to Tension. [PDF]

Materials (Basel)
Wang H, Liu Q, Mao B.
europepmc   +1 more source

Improved EBSD camera

Materials Today, 2003
openaire   +1 more source

MIDAS: a quantitative framework for high‐energy diffraction microscopy. Part II: accuracy, robustness and best practices

Acta Crystallographica Section A, EarlyView.
This paper experimentally establishes the accuracy, robustness and performance limits of the high‐energy diffraction microscopy data reduction methodology. Using dedicated far‐field and near‐field datasets, it quantifies the influence of key analysis parameters, demonstrates computational efficiency, and establishes a framework of best practices to ...
Hemant Sharma, Jun-Sang Park, Sarvjit Shastri, Peter Kenesei   +3 more
wiley   +1 more source

Parametrically upscaled model-based predictive platform for fatigue with location-specific microstructural linkages. [PDF]

Nat Commun
Ghosh S, Appunhi Nair K, Tak TN, Kotha S, Pilchak A, Venkatesh V, Furrer D.   +6 more
europepmc   +1 more source

Beam Broadening in Transmission EBSD [PDF]

Microscopy Today, 2015
Katherine P. Rice, Robert R. Keller, Mark P. Stoykovich   +2 more
openaire   +1 more source

Reaction‐Driven Development of Fine‐Grained Plagioclase Networks Influences the Rheology of the Crust in the Bergen Arcs, Norway

Journal of Metamorphic Geology, EarlyView.
ABSTRACT In the middle to lower continental crust, mineral reactions can play a key role in controlling rheological behaviour by generating fine‐grained, mechanically weak domains. In granulite‐facies rocks from Krossøy (Bergen Arcs, Norway), we document how garnet breakdown produced interconnected networks of orthopyroxene + plagioclase ± spinel that ...
Lorena H. Filiberto, Håkon Austrheim, José Alberto Padrón‐Navarta, Andrew Putnis, Christine V. Putnis   +4 more
wiley   +1 more source

Advances in EBSD-based approaches for quantifying slip activity in deformed Mg alloys. [PDF]

Appl Microsc
Tariq HMR, Jun TS.
europepmc   +1 more source

Dynamical simulation of on‐axis transmission Kikuchi and spot diffraction patterns, based on accurate diffraction geometry calibration

Journal of Microscopy, EarlyView.
Abstract Transmission Kikuchi diffraction in the scanning electron microscope has gained popularity as a materials characterisation technique for its high throughput and nanometre‐level spatial resolution. While conventional diffraction pattern analysis routines focus on Kikuchi bands on the diffraction patterns, the full physical picture of electron ...
Tianbi Zhang, Raynald Gauvin, Aimo Winkelmann, T. Ben Britton   +3 more
wiley   +1 more source