No-Flow Temperature in Injection Molding Simulation

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11 Citazioni (Scopus)

Abstract

Most injection molding simulation packages use the no-flow temperature (NFT) as a means of determining whether the polymer flows or is solid. The NFT is not well defined, and a standard method for measuring it does not exist. A sensitivity analysis of the filling stage has been carried out with two different packages [VISI Flow (Vero Software Limited, Gloucestershire, UK) and Moldflow (Autodesk, Inc., San Rafael, CA)] to estimate the influence of the NFT on the main processing parameters. The NFT has a large influence on the thickness of the frozen layer, but it does not appreciably affect the filling pressure. Because the NFT affects the frozen layer, an effect on the estimation of shrinkage and warpage is expected. Software packages have also been compared, and similar simulations have been found to produce contrasting results. A simple correlation for NFT estimation, derived from the Cross–Williams–Landel–Ferry equation, is proposed for both amorphous and semicrystalline polymers.
Lingua originaleEnglish
pagine (da-a)3382-3392
Numero di pagine11
RivistaJournal of Applied Polymer Science
Volume119
Stato di pubblicazionePublished - 2011

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Injection molding
Temperature
Polymers
Software packages
Sensitivity analysis
Processing

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Chemistry
  • Polymers and Plastics
  • Surfaces, Coatings and Films

Cita questo

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title = "No-Flow Temperature in Injection Molding Simulation",
abstract = "Most injection molding simulation packages use the no-flow temperature (NFT) as a means of determining whether the polymer flows or is solid. The NFT is not well defined, and a standard method for measuring it does not exist. A sensitivity analysis of the filling stage has been carried out with two different packages [VISI Flow (Vero Software Limited, Gloucestershire, UK) and Moldflow (Autodesk, Inc., San Rafael, CA)] to estimate the influence of the NFT on the main processing parameters. The NFT has a large influence on the thickness of the frozen layer, but it does not appreciably affect the filling pressure. Because the NFT affects the frozen layer, an effect on the estimation of shrinkage and warpage is expected. Software packages have also been compared, and similar simulations have been found to produce contrasting results. A simple correlation for NFT estimation, derived from the Cross–Williams–Landel–Ferry equation, is proposed for both amorphous and semicrystalline polymers.",
keywords = "injection molding; processing; simulations",
author = "Brucato, {Valerio Maria Bartolo} and {La Carrubba}, Vincenzo and Mannella, {Gianluca Antonio} and Zoetelief and Haagh",
year = "2011",
language = "English",
volume = "119",
pages = "3382--3392",
journal = "Journal of Applied Polymer Science",
issn = "0021-8995",
publisher = "John Wiley and Sons Inc.",

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TY - JOUR

T1 - No-Flow Temperature in Injection Molding Simulation

AU - Brucato, Valerio Maria Bartolo

AU - La Carrubba, Vincenzo

AU - Mannella, Gianluca Antonio

AU - Zoetelief, null

AU - Haagh, null

PY - 2011

Y1 - 2011

N2 - Most injection molding simulation packages use the no-flow temperature (NFT) as a means of determining whether the polymer flows or is solid. The NFT is not well defined, and a standard method for measuring it does not exist. A sensitivity analysis of the filling stage has been carried out with two different packages [VISI Flow (Vero Software Limited, Gloucestershire, UK) and Moldflow (Autodesk, Inc., San Rafael, CA)] to estimate the influence of the NFT on the main processing parameters. The NFT has a large influence on the thickness of the frozen layer, but it does not appreciably affect the filling pressure. Because the NFT affects the frozen layer, an effect on the estimation of shrinkage and warpage is expected. Software packages have also been compared, and similar simulations have been found to produce contrasting results. A simple correlation for NFT estimation, derived from the Cross–Williams–Landel–Ferry equation, is proposed for both amorphous and semicrystalline polymers.

AB - Most injection molding simulation packages use the no-flow temperature (NFT) as a means of determining whether the polymer flows or is solid. The NFT is not well defined, and a standard method for measuring it does not exist. A sensitivity analysis of the filling stage has been carried out with two different packages [VISI Flow (Vero Software Limited, Gloucestershire, UK) and Moldflow (Autodesk, Inc., San Rafael, CA)] to estimate the influence of the NFT on the main processing parameters. The NFT has a large influence on the thickness of the frozen layer, but it does not appreciably affect the filling pressure. Because the NFT affects the frozen layer, an effect on the estimation of shrinkage and warpage is expected. Software packages have also been compared, and similar simulations have been found to produce contrasting results. A simple correlation for NFT estimation, derived from the Cross–Williams–Landel–Ferry equation, is proposed for both amorphous and semicrystalline polymers.

KW - injection molding; processing; simulations

UR - http://hdl.handle.net/10447/59684

M3 - Article

VL - 119

SP - 3382

EP - 3392

JO - Journal of Applied Polymer Science

JF - Journal of Applied Polymer Science

SN - 0021-8995

ER -