Results 71 to 80 of about 5,478,842 (309)

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Regularization by compressibility of the μ(I) model of dense granular flow

open access: yesThe Physics of Fluids, 2018
The following article deals with the role of compressibility in regularizing the well-known μ(I) model, i.e., eliminating the short-wavelength (Hadamard) instability revealed by Barker et al.
Joe D. Goddard, J. Lee
semanticscholar   +1 more source

Granular Flow: From Dilute to Jammed States

open access: yes, 2017
Particulate systems and granular matter display dynamic or static, fluid‐ or solid‐like states, respectively, or both at the same time. The mystery of bridging the gap between the particulate, microscopic state and the macroscopic, continuum description is one of the challenges of modern research.
Shi, Hao   +5 more
openaire   +2 more sources

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar   +2 more
wiley   +1 more source

SIMULATIONS OF FLOW PATTERNS IN SILOS WITH A CELLULAR AUTOMATON: PART 2

open access: yesTASK Quarterly, 2005
An improved cellular automaton has been used to calculate the kinematics of noncohesive granular materials during confined flow in mass and funnel flow model silos.
JAN KOZICKI, JACEK TEJCHMAN
doaj  

The influence of the fractal particle size distribution on the mobility of dry granular materials

open access: yesEPJ Web of Conferences, 2017
This study presents an experimental analysis on the influence of the particle size distribution (psd) on the mobility of dry granular materials. The psd obeys a power law of the form: N(L>d)=kd-Df, where N is the number of particles with diameter L ...
Vallejo Luis E.   +2 more
doaj   +1 more source

Impact of an obstacle on granular flow through apertures [PDF]

open access: yesEPJ Web of Conferences
It is not uncommon to observe the flow of discrete entities through narrow openings. Examples include transporting granular media through outlets in hoppers.
Sharma Deepak, Bhateja Ashish
doaj   +1 more source

Heat Transfer Characteristics of High-Temperature Dusty Flue Gas from Industrial Furnaces in a Granular Bed with Buried Tubes

open access: yesEnergies, 2020
Experimental heat transfer equipment with a buried tube granular bed was set up for waste heat recovery of flue gas. The effects of flue gas inlet temperature (1096.65–1286.45 K) and cooling water flow rate (2.6–5.1 m3/h) were studied through experiment ...
Shaowu Yin   +5 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

Simulation of granular flows and machine learning in food processing

open access: yesFrontiers in Food Science and Technology
Granular materials are widely encountered in food processing, but understanding their behavior and movement mechanisms remains in the early stages of research. In this paper, we present our recent modeling and simulation work on chute granular flow using
X. Cui   +7 more
doaj   +1 more source

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