Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization
Injection molded short fiber reinforced components reveal a sound light weight potential with moderate costs and thus are widely used in many demanding engineering applications. The accurate determination of the fiber orientation (FO) is essential for predicting the overall mechanical behavior of di...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-04-01
|
| Series: | Frontiers in Materials |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmats.2023.1152471/full |
| _version_ | 1797844986942717952 |
|---|---|
| author | Konrad Rienesl Philipp S. Stelzer Zoltán Major Chih-Chung Hsu Li-Yang Chang Kepa Zulueta |
| author_facet | Konrad Rienesl Philipp S. Stelzer Zoltán Major Chih-Chung Hsu Li-Yang Chang Kepa Zulueta |
| author_sort | Konrad Rienesl |
| collection | DOAJ |
| description | Injection molded short fiber reinforced components reveal a sound light weight potential with moderate costs and thus are widely used in many demanding engineering applications. The accurate determination of the fiber orientation (FO) is essential for predicting the overall mechanical behavior of discontinuous (short or long, with varying aspect ratio) fiber reinforced composites. The simulation of the FO requires a proper modeling of the hydrodynamics, the closure transformation of the FO tensor and optionally the application of specific correction functions. The determination of parameters for the fiber orientation models commonly used in injection molding simulations is a challenging task because they cannot be determined directly in experiments. Hence, a novel way is shown in our paper to derive these parameters faster, more efficiently and accurately by the usage of an automated metamodel optimization. For this, injection molding simulations were performed iteratively by an optimization program until a minimal deviation error of the simulated parameters was reached. The optimization was performed based on proper computed tomography FO data of selected regions of interest. The new approach was tested for a rotationally symmetric Venturi tube geometry made from short glass fiber reinforced polyamide (PA-GF). The fiber orientation distribution models chosen were the iARD-RPR equation with 3 parameters and the novel anisotropic IISO equation with 5 parameters. It was shown that the optimization method is feasible for the calibration of fiber orientation models. Furthermore, the IISO equation with its 2 additional parameters allowed a more accurate prediction of the fiber orientation distribution, especially of the core layer of the injection molded part. |
| first_indexed | 2024-04-09T17:31:17Z |
| format | Article |
| id | doaj.art-496c953e4f5841589f0b8484666fb699 |
| institution | Directory Open Access Journal |
| issn | 2296-8016 |
| language | English |
| last_indexed | 2024-04-09T17:31:17Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Materials |
| spelling | doaj.art-496c953e4f5841589f0b8484666fb6992023-04-18T04:30:33ZengFrontiers Media S.A.Frontiers in Materials2296-80162023-04-011010.3389/fmats.2023.11524711152471Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimizationKonrad Rienesl0Philipp S. Stelzer1Zoltán Major2Chih-Chung Hsu3Li-Yang Chang4Kepa Zulueta5Institute of Polymer Product Engineering, Johannes Kepler University, Linz, AustriaInstitute of Polymer Product Engineering, Johannes Kepler University, Linz, AustriaInstitute of Polymer Product Engineering, Johannes Kepler University, Linz, AustriaMoldex3D CoreTech System Co., Ltd, Hsinchu, TaiwanMoldex3D CoreTech System Co., Ltd, Hsinchu, TaiwanLeartiker S. Coop., Markina-Xemein, Bizkaia, SpainInjection molded short fiber reinforced components reveal a sound light weight potential with moderate costs and thus are widely used in many demanding engineering applications. The accurate determination of the fiber orientation (FO) is essential for predicting the overall mechanical behavior of discontinuous (short or long, with varying aspect ratio) fiber reinforced composites. The simulation of the FO requires a proper modeling of the hydrodynamics, the closure transformation of the FO tensor and optionally the application of specific correction functions. The determination of parameters for the fiber orientation models commonly used in injection molding simulations is a challenging task because they cannot be determined directly in experiments. Hence, a novel way is shown in our paper to derive these parameters faster, more efficiently and accurately by the usage of an automated metamodel optimization. For this, injection molding simulations were performed iteratively by an optimization program until a minimal deviation error of the simulated parameters was reached. The optimization was performed based on proper computed tomography FO data of selected regions of interest. The new approach was tested for a rotationally symmetric Venturi tube geometry made from short glass fiber reinforced polyamide (PA-GF). The fiber orientation distribution models chosen were the iARD-RPR equation with 3 parameters and the novel anisotropic IISO equation with 5 parameters. It was shown that the optimization method is feasible for the calibration of fiber orientation models. Furthermore, the IISO equation with its 2 additional parameters allowed a more accurate prediction of the fiber orientation distribution, especially of the core layer of the injection molded part.https://www.frontiersin.org/articles/10.3389/fmats.2023.1152471/fullcompositesfiber orientationanisotropic viscosityoptimizationinjection molding simulationsshort fibers |
| spellingShingle | Konrad Rienesl Philipp S. Stelzer Zoltán Major Chih-Chung Hsu Li-Yang Chang Kepa Zulueta Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization Frontiers in Materials composites fiber orientation anisotropic viscosity optimization injection molding simulations short fibers |
| title | Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization |
| title_full | Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization |
| title_fullStr | Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization |
| title_full_unstemmed | Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization |
| title_short | Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization |
| title_sort | determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization |
| topic | composites fiber orientation anisotropic viscosity optimization injection molding simulations short fibers |
| url | https://www.frontiersin.org/articles/10.3389/fmats.2023.1152471/full |
| work_keys_str_mv | AT konradrienesl determinationoffiberorientationmodelparametersforinjectionmoldingsimulationsviaautomatedmetamodeloptimization AT philippsstelzer determinationoffiberorientationmodelparametersforinjectionmoldingsimulationsviaautomatedmetamodeloptimization AT zoltanmajor determinationoffiberorientationmodelparametersforinjectionmoldingsimulationsviaautomatedmetamodeloptimization AT chihchunghsu determinationoffiberorientationmodelparametersforinjectionmoldingsimulationsviaautomatedmetamodeloptimization AT liyangchang determinationoffiberorientationmodelparametersforinjectionmoldingsimulationsviaautomatedmetamodeloptimization AT kepazulueta determinationoffiberorientationmodelparametersforinjectionmoldingsimulationsviaautomatedmetamodeloptimization |