Integral‐skin polyurethane foams

Marciano, J. H.; Reboredo, María Marta; Rojas, A. J.; Williams, R. J. J.

doi:10.1002/pen.760261102

Cited by 31 publications

(32 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The decreasing thermal conductivity during the foaming process is assumed to be a function of the foam density only. The empirical correlation used in this study was determined by Marciano [12] and is based on material data for polyurethane foam from Harper [13]. For polyurethane foam densities above 48 kg/m 3 the following formulation is given:…”

Section: Numerical Modelmentioning

confidence: 99%

Numerical Simulation of Mold Filling Processes with Polyurethane Foams

2009

View full text Add to dashboard Cite

Design and dimensioning of manufacturing processes based on filling molds with polyurethane foams still require the use of highly empirical approaches. This includes numerous experimental runs with expensive prototypes. Therefore, a method has to be found to analyze the molding process at an early stage of product development to shorten time-to-market cycles and cut costs by using fewer prototypes. With the computational power available today and growing computational power in the future, the tool of choice is the numerical simulation of mold filling processes with computational fluid dynamics software.

show abstract

Section: Numerical Modelmentioning

confidence: 99%

Numerical Simulation of Mold Filling Processes with Polyurethane Foams

2009

View full text Add to dashboard Cite

show abstract

“…On the other hand, Schudt et al [12] proposed a dual rate jounce bumper design, in which two bumper components with different designs were used in order to achieve a smooth load-displacement curve. Due to the hyperelasticity and inhomogeneous property [13,14] of PU and nonlinearity caused by large deformation, the FEA of PU jounce bumper is complex and requires further researches. Therefore the jounce bumper design is mainly based on experiences.…”

Section: Introductionmentioning

confidence: 99%

A negative Poisson's ratio suspension jounce bumper

Wang

Dong

et al. 2016

Materials & Design

View full text Add to dashboard Cite

“…Computational models have been developed to describe the foaming process of chemically blown polyurethane foams (e.g., ) and physically blown polyurethane and thermoplastics (e.g., ). However, despite recent progress, polymeric foams are still not well understood at a fundamental level .…”

Section: Introductionmentioning

confidence: 99%

“…However, despite recent progress, polymeric foams are still not well understood at a fundamental level . Previous computational models for foam process flows have focused on moving mesh methods , volume of fluids methods or simple one‐dimensional models . In this paper, we describe a novel numerical method to address foam self expansion: the model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method .…”

Section: Introductionmentioning

confidence: 99%

A level set method to study foam processing: a validation study

Rao

Mondy²,

Noble³

et al. 2011

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARY We have developed a production‐level foam processing computational model suitable for predicting the self‐expansion of foam in complex geometries. The model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method. An empirically based time‐dependent and temperature‐dependent density model is used to encapsulate the complex physics of foam nucleation and growth in a numerically tractable manner. The evolving density drives the dynamics of foam self‐expansion. This continuum‐level model uses a homogenized description of foam, which does not include the gas explicitly, but allows varying local fields, such as temperature and gas volume fraction, and material models. In addition, material models vary with the location of the level set interface, taking properties of the displaced air phase in the negative level set region and the foam in the positive region. The level set zero describes the location of the interface, where surface forces are applied using the continuous surface force treatment. The variation from foam to gas properties is handled with a diffuse interface method using a smooth Heaviside function and equation averaging. Material model development was guided and populated by careful experiments. Results from the model are compared with temperature‐instrumented flow visualization experiments giving the location of the foam front as a function of time for a physically blown, epoxy foam. Good qualitative agreement is seen between simulations and experiments, although some of the subtleties of the filling process are lost to the model. Published 2011. This article is a US Government work and is in the public domain in the USA.

show abstract

Integral‐skin polyurethane foams

Cited by 31 publications

References 3 publications

Numerical Simulation of Mold Filling Processes with Polyurethane Foams

Numerical Simulation of Mold Filling Processes with Polyurethane Foams

A negative Poisson's ratio suspension jounce bumper

A level set method to study foam processing: a validation study

Contact Info

Product

Resources

About