Results 71 to 80 of about 594,446 (272)
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Compensation Review Board (CRB) opinions. 2013. [PDF]
Updated annually; Began in 2003?; Title from home page last rev. Feb. 6, 2007 (publisher's web site, viewed Mar.
Connecticut. Workers' Compensation Commission. Compensation Review Board.
core
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Compensation Review Board (CRB) opinions. 2009. [PDF]
Updated annually; Began in 2003?; Title from home page last rev. Feb. 6, 2007 (publisher's web site, viewed Mar.
Connecticut. Workers' Compensation Commission. Compensation Review Board.
core
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Torque Ripple Suppression of BLDCM With Optimal Duty Cycle and Switch State by FCS-MPC
The traditional six-step commutation control method in brushless DC motors (BLDCM) often results in significant torque ripple, which limits its application in high-precision fields.
Zicheng Li +4 more
doaj +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink +4 more
wiley +1 more source
Slope‐compensated interferogram filter with ESPRIT for adaptive frequency estimation
Interferometric phase filtering represents an indispensable step in interferometric synthetic aperture radar (InSAR) data processing. However, conventional filtering methods fail to make a balance between the noise elimination and phase preserving in strong noise environments or dense fringe regions.
Shijin Li +3 more
openaire +1 more source

