Results 51 to 60 of about 7,447 (293)
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder +6 more
wiley +1 more source
An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS
Distributed compressed sensing theory extends the application of compressed sensing theory, which brings single signal compression sampling to signal group compression sampling.
Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu
doaj +2 more sources
Optimised projections for generalised distributed compressed sensing [PDF]
Different signals from the various sensors of the same scene form an ensemble. Distributed compressed sensing (DCS) rests on a new concept called the joint sparsity of the ensemble. JSM‐1 is a model that describes the joint sparsity by one dictionary.
Rong Rong +3 more
openaire +1 more source
Subgrain and Cavity Development during Creep of Al‐3.85%Mg
Al‐3.85%Mg does form subgrains if crept at very high strains. This fact allows the unification of the creep description in two different alloys such as pure Al and Al–Mg alloys. It is classically considered that the creep mechanisms for type M (e.g., pure Al) and type A alloys (e.g., Al–Mg alloys) are different.
Augusta Isaac +6 more
wiley +1 more source
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach +6 more
wiley +1 more source
Distributed Compressed Sensing of Jointly Sparse Signals [PDF]
Compressed sensing is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for recon- struction. In this paper we expand our theory for distributed compressed sensing (DCS) that enables new distributed cod- ing algorithms for multi-signal ensembles that exploit both intra-
Marco F. Duarte +4 more
openaire +2 more sources
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
Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components
This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller +5 more
wiley +1 more source
HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing
Iterative hard thresholding (IHT) is a beneficial tool for the recovery of sparse vectors in compressed sensing. In this study, we propose a high-accuracy distributed iterative hard thresholding algorithm (HDIHT) with explicit consideration given to the ...
Xiaming Chen, Zhuang Qi, Jianlong Xu
doaj +1 more source
Planetary gear transmission system is an important transmission part of large machinery and is prone to failure. Aiming at the problem of how to extract fault information from vibration signals of nonlinear and nonstationary planetary gearboxes, a ...
Zhe Wu +4 more
doaj +1 more source

