|
|
|
|
| LEADER |
09655nma a2203013 u 4500 |
| 001 |
EB002157860 |
| 003 |
EBX01000000000000001295975 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
230515 ||| eng |
| 020 |
|
|
|a 9783036566665
|
| 020 |
|
|
|a 9783036566672
|
| 020 |
|
|
|a books978-3-0365-6667-2
|
| 100 |
1 |
|
|a Pinto Fernandes, Célio
|
| 245 |
0 |
0 |
|a Advanced Polymer Simulation and Processing
|h Elektronische Ressource
|b Volume II
|
| 260 |
|
|
|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
|
| 300 |
|
|
|a 1 electronic resource (484 p.)
|
| 653 |
|
|
|a thermoplastic composites
|
| 653 |
|
|
|a shielding
|
| 653 |
|
|
|a molecular dynamics simulations
|
| 653 |
|
|
|a coat-hanger die
|
| 653 |
|
|
|a electrolyte
|
| 653 |
|
|
|a model
|
| 653 |
|
|
|a non-Newtonian fluids
|
| 653 |
|
|
|a extrudate swell
|
| 653 |
|
|
|a polymer extrusion
|
| 653 |
|
|
|a state of charge
|
| 653 |
|
|
|a elongational flow
|
| 653 |
|
|
|a constant shear-rate die
|
| 653 |
|
|
|a sheet die design
|
| 653 |
|
|
|a Au nanoparticles
|
| 653 |
|
|
|a deep learning
|
| 653 |
|
|
|a LDPE
|
| 653 |
|
|
|a load position
|
| 653 |
|
|
|a Herschel-Bulkley fluids
|
| 653 |
|
|
|a motor core
|
| 653 |
|
|
|a GEANT4 code
|
| 653 |
|
|
|a eXtended Pom-Pom
|
| 653 |
|
|
|a total bond order
|
| 653 |
|
|
|a poly(lactic acid)
|
| 653 |
|
|
|a SIGMA
|
| 653 |
|
|
|a plasticizing
|
| 653 |
|
|
|a polymer solution
|
| 653 |
|
|
|a plastic pallet
|
| 653 |
|
|
|a molding flow analysis
|
| 653 |
|
|
|a thermal annealing
|
| 653 |
|
|
|a constitutive modeling
|
| 653 |
|
|
|a multi-layer structure
|
| 653 |
|
|
|a melt filling
|
| 653 |
|
|
|a mold temperature control
|
| 653 |
|
|
|a Taguchi method
|
| 653 |
|
|
|a polymer blends
|
| 653 |
|
|
|a viscoelasticity
|
| 653 |
|
|
|a conformal cooling
|
| 653 |
|
|
|a thermogravimetric analyzer (TGA)
|
| 653 |
|
|
|a regression
|
| 653 |
|
|
|a lime
|
| 653 |
|
|
|a injection molding
|
| 653 |
|
|
|a concentricity
|
| 653 |
|
|
|a dilute polymeric solutions
|
| 653 |
|
|
|a plasmonics
|
| 653 |
|
|
|a pyrolysis
|
| 653 |
|
|
|a bacterial cellulose
|
| 653 |
|
|
|a annocatacin B
|
| 653 |
|
|
|a ab initio molecular dynamics
|
| 653 |
|
|
|a plastic optical barrel
|
| 653 |
|
|
|a side chain
|
| 653 |
|
|
|a thixotropy
|
| 653 |
|
|
|a CFD
|
| 653 |
|
|
|a computer-aided engineering tools
|
| 653 |
|
|
|a log-conformation tensor approach
|
| 653 |
|
|
|a pre-distribution
|
| 653 |
|
|
|a flatness
|
| 653 |
|
|
|a rapid tooling
|
| 653 |
|
|
|a viscoelastic flows
|
| 653 |
|
|
|a mold additive manufacturing
|
| 653 |
|
|
|a microfluidic rheometry
|
| 653 |
|
|
|a n/a
|
| 653 |
|
|
|a thin wall injection molding
|
| 653 |
|
|
|a Oldroyd-B fluid
|
| 653 |
|
|
|a high energy pouch cell
|
| 653 |
|
|
|a subtractive manufacturing
|
| 653 |
|
|
|a CAE
|
| 653 |
|
|
|a slow-release fertilizer
|
| 653 |
|
|
|a non-isothermal effects
|
| 653 |
|
|
|a short fibers
|
| 653 |
|
|
|a lithium-ion
|
| 653 |
|
|
|a simulation
|
| 653 |
|
|
|a mitochondrial respiratory complex I
|
| 653 |
|
|
|a FDM
|
| 653 |
|
|
|a crystallinity
|
| 653 |
|
|
|a Hirshfeld charges
|
| 653 |
|
|
|a fillers
|
| 653 |
|
|
|a numerical solution
|
| 653 |
|
|
|a modeling
|
| 653 |
|
|
|a suspensions
|
| 653 |
|
|
|a thermal homogenisation
|
| 653 |
|
|
|a OpenFOAM
|
| 653 |
|
|
|a transfer learning
|
| 653 |
|
|
|a polymer matrix
|
| 653 |
|
|
|a transport behavior
|
| 653 |
|
|
|a manufacturing process design
|
| 653 |
|
|
|a X-ray photoelectron spectroscopy
|
| 653 |
|
|
|a basic settings
|
| 653 |
|
|
|a polyethylene recycling
|
| 653 |
|
|
|a numerical simulation
|
| 653 |
|
|
|a finite difference methods
|
| 653 |
|
|
|a quality
|
| 653 |
|
|
|a iron sheet
|
| 653 |
|
|
|a polymer molds
|
| 653 |
|
|
|a Phan-Thien-Tanner constitutive equation
|
| 653 |
|
|
|a calcium and magnesium removal
|
| 653 |
|
|
|a cement
|
| 653 |
|
|
|a compound
|
| 653 |
|
|
|a attenuation coefficient
|
| 653 |
|
|
|a solvent viscosity contribution
|
| 653 |
|
|
|a sustainability
|
| 653 |
|
|
|a MM/PBSA
|
| 653 |
|
|
|a trapezoidal-loop shear
|
| 653 |
|
|
|a MRC-I
|
| 653 |
|
|
|a anisotropy
|
| 653 |
|
|
|a neural network
|
| 653 |
|
|
|a melt blending
|
| 653 |
|
|
|a free-surfaces
|
| 653 |
|
|
|a structure
|
| 653 |
|
|
|a machine learning
|
| 653 |
|
|
|a nanoporous matter
|
| 653 |
|
|
|a interface tracking
|
| 653 |
|
|
|a blown film extrusion
|
| 653 |
|
|
|a channel flow
|
| 653 |
|
|
|a Taguchi
|
| 653 |
|
|
|a multilateral
|
| 653 |
|
|
|a vane extruder
|
| 653 |
|
|
|a least-squares volume-to-point interpolation
|
| 653 |
|
|
|a rodlike particles
|
| 653 |
|
|
|a hydraulic fracturing
|
| 653 |
|
|
|a ND1 subunit
|
| 653 |
|
|
|a thermo-mechanical response
|
| 653 |
|
|
|a leakage flow
|
| 653 |
|
|
|a mold material
|
| 653 |
|
|
|a hysteresis
|
| 653 |
|
|
|a flash differential scanning calorimeter
|
| 653 |
|
|
|a pipe flow
|
| 653 |
|
|
|a conformal cooling channel
|
| 653 |
|
|
|a finite element analysis (fem)
|
| 653 |
|
|
|a fiber reinforced
|
| 653 |
|
|
|a dielectric function
|
| 653 |
|
|
|a polymer flows
|
| 653 |
|
|
|a fiber shortening
|
| 653 |
|
|
|a urea
|
| 653 |
|
|
|a analytical solution
|
| 653 |
|
|
|a roundness
|
| 653 |
|
|
|a data-based
|
| 653 |
|
|
|a gluing
|
| 653 |
|
|
|a consistent PISO
|
| 653 |
|
|
|a sequential valve gate system
|
| 653 |
|
|
|a mold heating
|
| 653 |
|
|
|a eccentric rotor extruder
|
| 653 |
|
|
|a manufacturing
|
| 653 |
|
|
|a prediction
|
| 653 |
|
|
|a multiscale simulation
|
| 653 |
|
|
|a visualization
|
| 653 |
|
|
|a time-dependent viscoelastic property
|
| 653 |
|
|
|a polymer processing
|
| 653 |
|
|
|a micro-polar fluids
|
| 653 |
|
|
|a drag coefficient
|
| 653 |
|
|
|a Oldroyd-B model
|
| 653 |
|
|
|a properties
|
| 653 |
|
|
|a nanocomposite
|
| 653 |
|
|
|a meshless interpolation
|
| 653 |
|
|
|a multilayer perceptron
|
| 653 |
|
|
|a dynamic image analysis
|
| 653 |
|
|
|a modeling and simulation
|
| 653 |
|
|
|a Giesekus fluid
|
| 653 |
|
|
|a a family mold system
|
| 653 |
|
|
|a FEM
|
| 653 |
|
|
|a MD
|
| 653 |
|
|
|a microstructure
|
| 653 |
|
|
|a plasma treatment
|
| 653 |
|
|
|a micropolar fluids
|
| 653 |
|
|
|a hybrid injection molding
|
| 653 |
|
|
|a CAE-DOE optimization
|
| 653 |
|
|
|a particle settling
|
| 653 |
|
|
|a antimicrobial activity
|
| 653 |
|
|
|a penetration
|
| 653 |
|
|
|a flax
|
| 653 |
|
|
|a silver nanoparticles
|
| 653 |
|
|
|a rheology
|
| 653 |
|
|
|a pipe die
|
| 653 |
|
|
|a degree of assembly
|
| 653 |
|
|
|a artificial engineering
|
| 653 |
|
|
|a yield stress
|
| 653 |
|
|
|a polymer electrolyte membrane for fuel cell
|
| 653 |
|
|
|a tailings flocculation
|
| 653 |
|
|
|a partial charge
|
| 653 |
|
|
|a cooling medium
|
| 653 |
|
|
|a polypropylene
|
| 653 |
|
|
|a mold characterization
|
| 653 |
|
|
|a stacked learning
|
| 653 |
|
|
|a sphere drag coefficient
|
| 653 |
|
|
|a Monte Carlo
|
| 653 |
|
|
|a polymer melt
|
| 653 |
|
|
|a magnetron sputtering
|
| 653 |
|
|
|a semi-analytical method
|
| 653 |
|
|
|a artificial neural networks (ANN)
|
| 653 |
|
|
|a continuous fiber-reinforced thermoplastics
|
| 653 |
|
|
|a sodium carbonate
|
| 653 |
|
|
|a green channels
|
| 653 |
|
|
|a poly (3-hydroxybutyric-co-3-hydroxyvaleric acid) (PHBV)
|
| 653 |
|
|
|a boundary layer
|
| 653 |
|
|
|a polymers
|
| 653 |
|
|
|a rapid tooling technology
|
| 653 |
|
|
|a lead nanoparticles
|
| 653 |
|
|
|a finite volume method
|
| 653 |
|
|
|a poly(ether ether ketone)
|
| 653 |
|
|
|a temperature maps
|
| 653 |
|
|
|a Herschel-Bulkley fluid
|
| 653 |
|
|
|a heat pipe
|
| 653 |
|
|
|a triangular-loop shear
|
| 653 |
|
|
|a RGD peptide (1FUV)
|
| 653 |
|
|
|a PEG-PCL
|
| 653 |
|
|
|a industrial design
|
| 653 |
|
|
|a mixed polymers
|
| 653 |
|
|
|a suspension
|
| 653 |
|
|
|a non-isothermal crystallization
|
| 653 |
|
|
|a Giesekus
|
| 653 |
|
|
|a extrusion
|
| 653 |
|
|
|a glass fiber
|
| 653 |
|
|
|a fiber reinforced polymer composites
|
| 653 |
|
|
|a viscoelastic flow
|
| 653 |
|
|
|a warpage
|
| 653 |
|
|
|a Rivlin-Sawyers equation
|
| 653 |
|
|
|a fully implicit coupled solver
|
| 653 |
|
|
|a hemp
|
| 653 |
|
|
|a seawater
|
| 653 |
|
|
|a empirical derivation
|
| 653 |
|
|
|a rubber compounds
|
| 653 |
|
|
|a Carbopol
|
| 653 |
|
|
|a proton
|
| 700 |
1 |
|
|a Faroughi, Salah Aldin
|
| 700 |
1 |
|
|a Ferrás, Luís L.
|
| 700 |
1 |
|
|a Afonso, Alexandre M.
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
0 |
|a 10.3390/books978-3-0365-6667-2
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/6871
|7 0
|x Verlag
|3 Volltext
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/98098
|z DOAB: description of the publication
|
| 082 |
0 |
|
|a 333
|
| 082 |
0 |
|
|a 380
|
| 082 |
0 |
|
|a 700
|
| 082 |
0 |
|
|a 600
|
| 082 |
0 |
|
|a 620
|
| 520 |
|
|
|a Polymer-processing techniques are of the utmost importance for producing polymeric parts. They must produce parts with the desired qualities, which are usually related to mechanical performance, dimensional conformity, and appearance. Aiming to maximize the overall efficiency of the polymer-processing techniques, advanced modeling codes along with experimental measurements are needed to simulate and optimize the processes. Thus, this reprint exploits the digital transformation of the plastics industry, both through the creation of more robust and accurate modeling tools and the development of cutting-edge experimental techniques. Furthermore, it addresses advanced topics, such as crystallization during the solidification processes, prediction of fiber orientation in the cases of short and long fiber composites, prediction of the foaming process (such as microcellular foaming), and flow instabilities by including viscoelastic constitutive equations.
|