Results 91 to 100 of about 342,129 (316)

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Learn PAd: Model-based Social Learning for Public Administrations [PDF]

, 2014
In modern society public administrations (PAs) are undergoing a profound transformation of their role, from rigid controllers to proactive service providers. PA servants have to cope with quickly changing contexts due to new laws and governance policies,
Polini, Andrea, Bertolino, Antonia, Silingas, Darius, De Angelis, Guglielmo   +3 more
core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Learn PAd: Model-based Social Learning for Public Administrations [PDF]

, 2016
Modern public administrations (PAs) are undergoing a profound transformation of their role, from rigid controllers to proactive service providers. However, PA services has to cope with quickly changing context such as : changes in law and regulations ...
Polini, Andrea, Bertolino, Antonia, Silingas, Darius, De Angelis, Guglielmo   +3 more
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
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, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Uniformity Prediction in Silicon Wafer Double-Sided Polishing: A Pad Topography-Dependent Material Removal Model with Pressure–Trajectory Coupling

Applied Sciences
The surface quality of wafers processed by double-sided polishing (DSP) is significantly influenced by pad morphology. However, quantitative analysis remains challenging due to the complexity of dynamic contact conditions and the coupled effects of ...
Yiran Liu, Shuguang Lu, Jun Cao, Wenjie Yu, Lei Zhu, Bing Liu   +5 more
doaj   +1 more source

Mortality in Patients with PAD with Respect to Glycaemic Status – A Review [PDF]

, 2013
Peripheral arterial disease (PAD) is a manifestation of atherosclerosis. Atherosclerosis is a chronic inflammatory process and nonenzymatic glycation is a process of major interest in relation to how risk factors promote atherogenesis.
Torbjørn Jonung, Iren D. Hjellestad
core  

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

Final Learn PAd Metamodels and Implementation of Model Transformations for Managing Business Processes Models in Public Administrations [PDF]

, 2016
This deliverable reports on the tooling chain and related architecture that have been designed and implemented in the context of the Learn PAd project.
Pierantonio, Alfonso
core