Flow of a Non-Newtonian Liquid with a Free Surface

Борзенко, Е. И.; Шрагер, Г. Р.

doi:10.1007/s10891-016-1452-2

Cited by 9 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…T zz represents the orientation in the through-thickness direction, T xx the orientation transverse to the flow direction, and T yy the alignment of the fibers in the flow direction. In all the four ROIs, the fiber orientation in the flow direction (T yy ) varies as expected: due to the fountain flow, the fibers are randomly oriented in the core layer and highly oriented in the shear layer near the surface [29]. Most of the fibers are oriented in the flow and transverse direction, with only a small amount of fibers oriented in the thickness direction.…”

Section: Optimization Of the Rsc Model Coefficientssupporting

confidence: 56%

Improving Numerical Modeling Accuracy for Fiber Orientation and Mechanical Properties of Injection Molded Glass Fiber Reinforced Thermoplastics

Ivan¹,

Sorgato

Zanini

et al. 2022

Materials

View full text Add to dashboard Cite

Local fiber alignment in fiber-reinforced thermoplastics is governed by complex flows during the molding process. As fiber-induced material anisotropy leads to non-homogeneous effective mechanical properties, accurate prediction of the final orientation state is critical for integrated structural simulations of these composites. In this work, a data-driven inverse modeling approach is proposed to improve the physics-based structural simulation of short glass fiber reinforced thermoplastics. The approach is divided into two steps: (1) optimization of the fiber orientation distribution (FOD) predicted by the Reduce Strain Closure (RSC) model, and (2) identification of the composite’s mechanical properties used in the Ramberg–Osgood (RO) multiscale structural model. In both steps, the identification of the model’s parameters was carried out using a Genetic Algorithm. Artificial Neural Networks were used as a machine learning-based surrogate model to approximate the simulation results locally and reduce the computational time. X-ray micro-computed tomography and tensile tests were used to acquire the FOD and mechanical data, respectively. The optimized parameters were then used to simulate a tensile test for a specimen injection molded in a dumbbell-shaped cavity selected as a case study for validation. The FOD prediction error was reduced by 51% using the RSC optimized coefficients if compared with the default coefficients of the RSC model. The proposed data-driven approach, which calculates both the RSC coefficients and the RO parameters by inverse modeling from experimental data, allowed improvement in the prediction accuracy by 43% for the elastic modulus and 59% for the tensile strength, compared with the non-optimized analysis.

show abstract

Section: Optimization Of the Rsc Model Coefficientssupporting

confidence: 56%

Improving Numerical Modeling Accuracy for Fiber Orientation and Mechanical Properties of Injection Molded Glass Fiber Reinforced Thermoplastics

Ivan¹,

Sorgato

Zanini

et al. 2022

Materials

View full text Add to dashboard Cite

show abstract

“…Its applications include the industry of plastics, paints and synthetic fibers, as well as the lining of cables, the formation of transparent plastic films, ink injection and many others. In the mold filling, Wang et al [18] and Borzenko et al [19] have simulated the non-Newtonian flow with free surface. However, in these works the data on the flow structure and free surface position is sparse.…”

Section: Introductionmentioning

confidence: 99%

Modeling of spillage and debris floods as Newtonian and viscoplastic Bingham flows with free surface with mixed stabilized finite elements

Moreno

Dialami

Cervera

2021

Journal of Non-Newtonian Fluid Mechanics

View full text Add to dashboard Cite

“…It also contains the results of particular study of non‐isothermal filling of a planar channel with a non‐Newtonian fluid accounting for crystallization process. Investigations of the fountain flow kinematics using the mathematical models, which describe the physical principles of the process with varying degree of completeness, are presented in the articles …”

Section: Introductionmentioning

confidence: 99%

Kinematics of the fountain flow during pipe filling with a power‐law fluid

2018

View full text Add to dashboard Cite

The fountain flow of a non‐Newtonian fluid during a circular pipe filling is investigated. Mathematical description of the process is based on the equations of motion and continuity. The system of equations is completed by the Ostwald‐de Waele rheological equation. The slip condition is used at the contact line. The numerical solution of the formulated problem is obtained using a computational technology based on the finite volume method, SIMPLE procedure, and invariant method, which is used for numerical realization of the boundary conditions on the free surface. The results of parametric studies of the flow kinematic characteristics are presented depending on the governing dimensionless criteria and power‐law index. © 2018 American Institute of Chemical Engineers AIChE J, 65: 850–858, 2019

show abstract

Flow of a Non-Newtonian Liquid with a Free Surface

Cited by 9 publications

References 24 publications

Improving Numerical Modeling Accuracy for Fiber Orientation and Mechanical Properties of Injection Molded Glass Fiber Reinforced Thermoplastics

Improving Numerical Modeling Accuracy for Fiber Orientation and Mechanical Properties of Injection Molded Glass Fiber Reinforced Thermoplastics

Modeling of spillage and debris floods as Newtonian and viscoplastic Bingham flows with free surface with mixed stabilized finite elements

Kinematics of the fountain flow during pipe filling with a power‐law fluid

Contact Info

Product

Resources

About