Advanced Polymer Simulation and Processing

doi:10.3390/books978-3-0365-6665-8

Download Url(s)

https://mdpi.com/books/pdfview/book/6870

Contributor(s)

Pinto Fernandes, Célio (editor)

Faroughi, Salah Aldin (editor)

Ferrás, Luís L. (editor)

Afonso, Alexandre M. (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/98817

Keywords

polymer electrolyte membrane for fuel cell; molecular dynamics simulations; side chain; penetration; injection molding; thermoplastic composites; mold heating; mold temperature control; melt filling; thin wall injection molding; suspensions; micro-polar fluids; yield stress; extrusion; extrudate swell; interface tracking; least-squares volume-to-point interpolation; consistent PISO; finite volume method; OpenFOAM; poly(ether ether ketone); thermo–mechanical response; constitutive modeling; polymer processing; elongational flow; vane extruder; eccentric rotor extruder; numerical simulation; warpage; prediction; crystallinity; multi-layer structure; simulation; annocatacin B; ND1 subunit; mitochondrial respiratory complex I; MRC-I; MD; Hirshfeld charges; MM/PBSA; poly(lactic acid); urea; melt blending; slow-release fertilizer; leakage flow; modeling and simulation; sheet die design; manufacturing process design; coat-hanger die; modeling; rheology; constant shear-rate die; non-Newtonian fluids; poly (3-hydroxybutyric-co-3-hydroxyvaleric acid) (PHBV); flax; hemp; short fibers; properties; lithium-ion; high energy pouch cell; state of charge; electrolyte; load position; motor core; iron sheet; computer-aided engineering tools; gluing; machine learning; multilayer perceptron; neural network; regression; plasticizing; polymers; basic settings; data-based; model; quality; conformal cooling; sustainability; industrial design; manufacturing; degree of assembly; a family mold system; CAE-DOE optimization; green channels; temperature maps; finite difference methods; meshless interpolation; numerical solution; polymer flows; viscoelastic flows; plastic optical barrel; roundness; concentricity; Taguchi method; RGD peptide (1FUV); ab initio molecular dynamics; total bond order; partial charge; dielectric function; suspension; rodlike particles; micropolar fluids; anisotropy; hysteresis; fiber reinforced polymer composites; lead nanoparticles; shielding; attenuation coefficient; empirical derivation; PEG-PCL; non-isothermal crystallization; flash differential scanning calorimeter; polymer blends; microstructure; multiscale simulation; hybrid injection molding; continuous fiber-reinforced thermoplastics; finite element analysis (fem); FDM; Taguchi; multilateral; CAE; transfer learning; LDPE; triangular-loop shear; trapezoidal-loop shear; time-dependent viscoelastic property; Rivlin–Sawyers equation; fillers; rubber compounds; viscoelasticity; thixotropy; structure; tailings flocculation; seawater; calcium and magnesium removal; lime; sodium carbonate; FEM; pipe die; polymer melt; Herschel–Bulkley fluids; free-surfaces; conformal cooling channel; rapid tooling technology; mold material; cooling medium; polymer solution; Giesekus; eXtended Pom-Pom; visualization; analytical solution; deep learning; stacked learning; Oldroyd-B fluid; Giesekus fluid; sphere drag coefficient; plastic pallet; flatness; sequential valve gate system; molding flow analysis; particle settling; dilute polymeric solutions; Oldroyd-B model; microfluidic rheometry; drag coefficient; hydraulic fracturing; polyethylene recycling; artificial engineering; polymer extrusion; mold additive manufacturing; polymer molds; subtractive manufacturing; mold characterization; rapid tooling; thermal homogenisation; pre-distribution; heat pipe; blown film extrusion; CFD; n/a; pyrolysis; mixed polymers; thermogravimetric analyzer (TGA); artificial neural networks (ANN); polypropylene; glass fiber; fiber reinforced; fiber shortening; compound; SIGMA; dynamic image analysis; Monte Carlo; nanoporous matter; proton; transport behavior; GEANT4 code; boundary layer; Herschel–Bulkley fluid; Carbopol; cement; bacterial cellulose; plasma treatment; magnetron sputtering; silver nanoparticles; antimicrobial activity; X-ray photoelectron spectroscopy; fully implicit coupled solver; viscoelastic flow; log-conformation tensor approach; non-isothermal effects; Phan-Thien-Tanner constitutive equation; semi-analytical method; solvent viscosity contribution; pipe flow; channel flow; Au nanoparticles; plasmonics; polymer matrix; nanocomposite; thermal annealing