Results 121 to 130 of about 194,746 (328)
Advanced Engineering Materials, EarlyView.Prestraining the substrate influences coating formation process. Higher prestraining force leads to higher coating thickness and lower hardness. Increase in prestraining force enhances preliminary damage in hard anodic coating. Fatigue damage mechanisms change for hard anodized prestrained samples.
Linto George Thomas +4 more
wiley +1 more source
Powder Metallurgy Preparation of Metastable β Ti–Cr–Ge Alloys for Medical Applications
Advanced Engineering Materials, EarlyView.This study develops metastable β Ti–Cr–Ge alloys using powder metallurgy for biomedical implants. The Ti–10Cr–2Ge alloy exhibits superior mechanical performance with high yield strength (>1100 MPa), low Young's modulus (<85 GPa), and excellent strain hardening behavior.
Teddy Sjafrizal +3 more
wiley +1 more source
Model-based decentralized Bayesian algorithm for distributed compressed sensing [PDF]
Signal processing. Image communication, 2020 Razieh Torkamani +2 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.Picosecond direct laser interference patterning (DLIP) enables precise microstructure fabrication on stainless steel. Using a multiscan approach, high‐aspect‐ratio patterns are achieved. Fluence influences structure growth and homogeneity, with smaller periods yielding better uniformity.
Fabian Ränke +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This study explores combining two existing aerospace titanium alloy powders, processing them via field‐assisted sintering technology and the subsequent discovery of a novel alloy composition, termed S23, with ultra‐high tensile toughness. Fine‐scale alpha precipitates favorably form in the alloy despite the relatively slow cooling, providing an ...
Samuel Lister +2 more
wiley +1 more source
Sparsity and Parallel Acquisition: Optimal Uniform and Nonuniform Recovery Guarantees
, 2016 The problem of multiple sensors simultaneously acquiring measurements of a single object can be found in many applications. In this paper, we present the optimal recovery guarantees for the recovery of compressible signals from multi-sensor measurements ...
Adcock, Ben, Chun, Il Yong, Li, Chen
core
1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
Dianxin kexue, 2014 Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth.
Zhijin Zhao, Weikang Hu, Junwei Hu
doaj +2 more sources
Advanced Engineering Materials, EarlyView.This work reveals the phase composition and quantitative morphology analysis of precipitation‐hardened Fe32Cu12Ni11Ti16Al29 complex‐concentrated alloy. The precipitates are shown to have a high coherency. Morphology transition between sphere, cuboidal, and elongated morphology is observed. Finally, the overaging behavior is captured using microhardness.
Rostyslav Nizinkovskyi +4 more
wiley +1 more source
Distributed compressed sensing for the MIMO MAC with correlated sources [PDF]
, 2012 Steven Corroy, Rudolf Mathar
openalex +1 more source
Distributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology [PDF]
, 2021 Ghanbar Azarnia +2 more
openalex +1 more source