Results 131 to 140 of about 18,243 (295)

Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators

Advanced Engineering Materials, EarlyView.
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad, Aleksander Kostka, Gowtham Arivanandhan, Yujiao Li, Alan Savan, Manfred Kohl, Alfred Ludwig   +6 more
wiley   +1 more source

Learning object recognition based on compressive sampling

, 2017
In this paper, we propose an object recognition algorithm allowing for learning in the compressed space and reconstructing to the spatial space when images need to be processed in their spatial forms.
Cheng, Y, Cai, Y, Xi, N, Congjian Li, Yu Cheng, Yingfeng Cai, Bi, S, Ning Xi, Li, C, Sheng Bi   +9 more
core   +1 more source

Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy

Advanced Engineering Materials, EarlyView.
A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang, Aparajita Pramanik, Sandipan Sen, Shubhashis Dixit, Marcel Muench, R. J. Vikram, Daniel Schliephake, Yolita M. Eggeler, Ankur Chauhan, Martin Heilmaier, Alexander Kauffmann   +10 more
wiley   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Wireless Sensing, Active Learning, and Compressive Sampling

, 2008
— Wireless sensor networks promise a fundamentally new approach for gathering information about the physical world via a distributed network of sensors that can communicate with each other and/or with a (usually distant) fusion center through radio ...
Robert Nowak, Rui Castro, Jarvis Haupt
core  

Adaptive Sampling for Low Latency Vision Processing

, 2012
In this paper we describe a close-to-sensor low latency visual processing system. We show that by adaptively sampling visual information, low level tracking can be achieved at high temporal frequencies with no increase in bandwidth and using very little ...
Bull, David, David Gibson, Muller, Henk, Campbell, Neill W, Gibson, David P, Neill Campbell, Henk Muller, David Bull   +7 more
core   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Sampling for the Measurement of Structured Surfaces

Structured surfaces are increasingly popular in manufacturing due to their ability to affect the function of a component, for example paintability and adhesiveness.
Wang, Jian
core  

General Framework of Compressive Sampling and its Applications for Signal and Image Compression A Random Approach

, 2015
Compressive sampling emerged as a very useful random protocol and has become an active research area for almost a decade. Compressive sampling allows us to sample a signal below Shannon Nyquist rate and assures its successful reconstruction if the signal
Prabhat Thakur
core   +1 more source