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Design, Manufacturing and Properties of Refractory Materials

This reprint aims to immerse the reader into the latest developments in the technology of refractory materials. From the application of Artificial Intelligence and computer-aided methods, like machine learning or image analysis and the simulation of refractories’ properties and corrosion phenomena,...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2024
Soggetti:
blast furnace
carbon refractories
molten metal infiltration
X-ray computed tomography
inorganic chemical binders
refractories
phosphates
water glasses
refractory castable
hollow corundum microspheres
bauxite aggregate
thermal shock resistance
micronized andalusite
antioxidation
Al2O3-SiC-C castables
hot modulus of rupture
metal-ceramic composites
alginate gelation
refractory metals
computed tomography
niobium
refractory composite
aggregate synthesis
castable
Al2O3-CaO-Cr2O3-O2 system
(Al1?xCrx)2O3
Ca(Al12?xCrx)O19
Cr(VI) compounds
leaching test
dynamic loading
fracture
mesoscale computer simulation
discrete element method (DEM)
corrosion
MgO
Cr2O3
refractory
raw materials
Cu
slag
XRD
SEM
Ti-bearing compounds
CA6
spinel
castables
forsterite
fly ash
corrosion resistance
refractory ceramics
oxygen converter
wear forecasting
Bayesian statistics
alumina-spinel
metallurgical slag
SEM/EDS
biomass
thermal processing
wood ash
sol-gel
neural networks
refractory material
ladle
modelling
ceramic
copper
digital image
computer analysis
stereology
machine learning
MgO-C
steel
artificial neural networks
ANN
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
Accesso online:ONIX_20240704_9783725810895_131
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ONIX_20240704_9783725810895_131

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