Optimization of fiber prediction model coefficients in injection molding simulation based on micro computed tomography

Matthias Morak; Daniel Tscharnuter; Thomas Lucyshyn; Wolfram Hahn; Michael Göttlinger; Maximilian Kummer; Robin Steinberger; Thomas Gross

doi:10.1002/pen.25013

Optimization of fiber prediction model coefficients in injection molding simulation based on micro computed tomography

Matthias Morak
, Daniel Tscharnuter
, Thomas Lucyshyn
, Wolfram Hahn
, Michael Göttlinger
, Maximilian Kummer
, Robin Steinberger
, Thomas Gross

Chair of Polymer Processing (350)

Polymer Competence Center Leoben GmbH
Hilti Kunststofftechnik GmbH
Hirtenberger Automotive Safety GmbH & Co KG Design and Simulation
Hilti Entwicklungsges. mbH, TNK Computational Engineering
Hilti AG, TNS Computational Engineering Schaan

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Original language	English
Pages (from-to)	E152-E160
Number of pages	9
Journal	Polymer engineering and science
Volume	59.2019
Issue number	s2
DOIs	https://doi.org/10.1002/pen.25013
Publication status	Published - 5 Dec 2018

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10.1002/pen.25013

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title = "Optimization of fiber prediction model coefficients in injection molding simulation based on micro computed tomography",

author = "Matthias Morak and Daniel Tscharnuter and Thomas Lucyshyn and Wolfram Hahn and Michael G{\"o}ttlinger and Maximilian Kummer and Robin Steinberger and Thomas Gross",

year = "2018",

month = dec,

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doi = "10.1002/pen.25013",

language = "English",

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T1 - Optimization of fiber prediction model coefficients in injection molding simulation based on micro computed tomography

AU - Morak, Matthias

AU - Tscharnuter, Daniel

AU - Lucyshyn, Thomas

AU - Hahn, Wolfram

AU - Göttlinger, Michael

AU - Kummer, Maximilian

AU - Steinberger, Robin

AU - Gross, Thomas

PY - 2018/12/5

Y1 - 2018/12/5

UR - https://www.scopus.com/pages/publications/85057761617

U2 - 10.1002/pen.25013

DO - 10.1002/pen.25013

M3 - Article

AN - SCOPUS:85057761617

SN - 0032-3888

VL - 59.2019

SP - E152-E160

JO - Polymer engineering and science

JF - Polymer engineering and science

IS - s2

ER -

Optimization of fiber prediction model coefficients in injection molding simulation based on micro computed tomography

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