Accessible Unlicensed Requires Authentication Published by De Gruyter April 17, 2018

Numerical Predictions of Fiber Orientation for Injection Molded Rectangle Plate and Tensile Bar with Experimental Validations

H.-C. Tseng, R. Y. Chang and C.-H. Hsu

Abstract

Fiber composites are the pinnacle of lightweight materials in the automotive industry. The orientation of the reinforcing fibers strongly affects the mechanical performance of the finished part. However, fiber orientation prediction with high accuracy is difficult for a complex flow field in practical injection molding. Recently, an objective model, iARD-RPR (Improved Anisotropic Rotary Diffusion and Retarding Principal Rate), has been significant to provide anisotropic distribution of fiber orientation, such as the well-known skin-shell-core structure. Micro-computed tomography (micro-CT) scan is a state-of-the-art technique for measuring a very high 3D resolution of a specimen's fiber orientation data. According to the micro-CT experiments and injection molding simulations with the iARD-RPR computation, we investigate changes in fiber orientation distributions at different concentrations in a rectangle plate, while the alignment of fibers found in weld line is revealed for tensile bar. Comparisons of the fiber orientation predictions with the validated experimental data are also presented herein.


*Correspondence address, Mail address: Huan-Chang Tseng*, CoreTech System (Moldex3D) Co., Ltd., ChuPei City, Hsinchu County, 30265, ROC, E-Mail:

References

Advani, S. G., TuckerIII, C. L., “The Use of Tensors to Describe and Predict Fiber Orientation in Short Fiber Composites”, J. Rheol., 31, 751784 (1987) 10.1122/1.549945Search in Google Scholar

Akay, M., Barkley, D:, “Flow Aberration and Weld-Lines in Glass-Fibre Reinforced Thermoplastic Injection Moulding”, Plast. Rubber Compos. Process. Appl., 20, 137139 (1993)Search in Google Scholar

Bay, R. S., TuckerIII, C. L., “Stereological Measurement and Error Estimates for Three-Dimensional Fiber Orientation”, Polym. Eng. Sci., 32, 240253 (1992) 10.1002/pen.760320404Search in Google Scholar

Bird, R. B., Armstrong, R. C. and Hassager, O.: Fluid Mechanics, Wiley-Interscience, New York (1987)Search in Google Scholar

Chang, R.-Y., Chiou, S.-Y., “A Unified K-Bkz Model for Residual Stress Analysis of Injection Molded Three-Dimensional Thin Shapes”, Polym. Eng. Sci., 35, 17331747 (1995) 10.1002/pen.760352203Search in Google Scholar

Chang, R.-Y., Yang, W.-H., “Numerical Simulation of Mold Filling in Injection Molding Using a Three-Dimensional Finite Volume Approach”, Int. J. Numer. Methods Fluids, 37, 125148 (2001) 10.1002/fld.166Search in Google Scholar

Chung, D. H., Kwon, T.H., “Invariant-Based Optimal Fitting Closure Approximation for the Numerical Prediction of Flow-Induced Fiber Orientation”, J. Rheol., 46, 169194 (2002) 10.1122/1.1423312Search in Google Scholar

Cieslinski, M. J., Wapperom, P. and Baird, D. G., “Influence of Fiber Concentration on the Startup of Shear Flow Behavior of Long Fiber Suspensions”, J. Non-Newtonian Fluid Mech., 222, 163170 (2015) 10.1016/j.jnnfm.2014.10.012Search in Google Scholar

Costa, F. S., Cook, P. S. and Pickett, D., “A Framework for Viscosity Model Research in Injection Molding Simulation, Including Pressure and Fiber Orientation Dependence”, SPE ANTEC Tech. Papers (2015)Search in Google Scholar

Folgar, F., TuckerIII, C. L., “Orientation Behavior of Fibers in Concentrated Suspensions”, J. Reinf. Plast. Compos., 3, 98119 (1984) 10.1177/073168448400300201Search in Google Scholar

Foss, P. H., Tseng, H.-C., Snawerdt, J., Chang, Y.-J., Yang, W.-H. and Hsu, H.-C., “Prediction of Fiber Orientation Distribution in Injection Molded Parts Using Moldex3d Simulation”, Polym. Compos., 35, 671680 (2014) 10.1002/pc.22710Search in Google Scholar

Jeffery, G. B., “The Motion of Ellipsoidal Particles Immersed in a Viscous Fluid”, Proc. R. Soc, A, 1022, 161179 (1922) 10.1098/rspa.1922.0078Search in Google Scholar

Kammer, S., Arras, M. and Schröder, T.Verification of a Structural Analysis of Fiber Reinforced Thermoplastics with Weld Line”, SPE ANTEC Tech. Papers (2015)Search in Google Scholar

Kleindel, S., Salaberger, D., Eder, R., Schretter, H. and Hochenauer, C., “Prediction and Validation of Short Fiber Orientation in a Complex Injection Molded Part with Chunky Geometry”, Int, Polym, Proc., 30, 366380 (2015) 10.3139/217.3047Search in Google Scholar

Kunc, V., Warren, C. D., Yocum, A. and Schutte, C., “Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites”, FY 2015 Annual Progress Report-Lightweight Materials, Oak Ridge National Laboratory (ORNL), The US Department of Energy, Washington, p. 224240 (2015)Search in Google Scholar

Moldex3D: User Manual and Material Database, CoreTech System, Hsinchu, ROC (2015)Search in Google Scholar

Nguyen, B. N., Fifield, L. S. Yocum, A., and Schutte, C., “Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites”, FY 2015 Annual Progress Report-Lightweight Materials, Pacific Northwest National Laboratory (PNNL), The US Department of Energy, Washington, p. 241256 (2015)Search in Google Scholar

Nguyen, N., Jin, X., Wang, J., Kunc, V. and TuckerIII, C. L., “Validation of New Process Models for Large Injection-Molded Long-Fiber Thermoplastic Composite Structures”, The US Department of Energy, Pacific Northwest National Laboratory, Washington, PNNL-21165 (PNNL Report under Contract DE-AC05-76RL01830) (2012) 10.2172/1035733Search in Google Scholar

Nguyen, N., Jin, X., Wang, J., Phelps, J. H., TuckerIII, C. L., Kunc, V., Bapanapalli, S. K. and Smith, M. T., “Implementation of New Process Models for Tailored Polymer Composite Structures into Processing Software Packages”, The US Department of Energy, Pacific Northwest National Laboratory, Washington, PNNL Report under Contract DE-AC05-76RL01830 PNNL-19185 (2010) 10.2172/973410Search in Google Scholar

Nguyen Thi, T. B., Yokoyama, A., Hamanaka, S., Yamashita, K. and Nonomura, C., “Advanced Fiber Orientation Prediction for High Filler Content Short-Fiber/Thermoplastic Composites”, Polymer Processing Society 32th Annual Meeting, Lyon, France (2016)Search in Google Scholar

Papathanasiou, T. D., Guell, D.C.: Flow-Induced Alignment in Composite Materials, Cambridge, Woodhead, p. 127130 (1997) 10.1201/9781439822739Search in Google Scholar

Phelps, J. H., TuckerIII, C. L., “An Anisotropic Rotary Diffusion Model for Fiber Orientation in Short- and Long-Fiber Thermoplastics”, J. Non-Newtonian Fluid Mech., 156, 165176 (2009) 10.1016/j.jnnfm.2008.08.002Search in Google Scholar

Shen, H., Nutt, S. and Hull, D., “Direct Observation and Measurement of Fiber Architecture in Short Fiber-Polymer Composite Foam through Micro-Ct Imaging”, Compos. Sci. Technol.64, 21132120 (2004) 10.1016/j.compscitech.2004.03.003Search in Google Scholar

Tseng, H.-C., Chang, R.-Y. and Hsu, C.-H., “Phenomenological Improvements to Predictive Models of Fiber Orientation in Concentrated Suspensions”, J. Rheol., 57, 15971631 (2013) 10.1122/1.4821038Search in Google Scholar

Tseng, H.-C., Chang, R.-Y. and Hsu, C.-H., “An Objective Tensor to Predict Anisotropic Fiber Orientation in Concentrated Suspensions”, J. Rheol., 60, 215224 (2016) 10.1122/1.4939098Search in Google Scholar

Tseng, H.-C., Chang, R.-Y. and Hsu, C.-H., “Improved Fiber Orientation Predictions for Injection Molded Fiber Composites”, Composites Part A, 99, 6575 (2017a) 10.1016/j.compositesa.2017.04.004Search in Google Scholar

Tseng, H.-C., R.-Y.Chang, and C.-H.Hsu, “Accurate Predictions of Fiber Orientation and Tensile Modulus in Short-Fiber-Reinforced Composite with Experimental Validation”, Polym. Compos., (2017b) 10.1002/pc.24277Search in Google Scholar

VerWeyst, B. E., “Numerical Predictions of Flow-Induced Fiber Orientation in Three-Dimensional Geometries”, PhD Thesis, University of Illinois at Urbana-Champaign, Illinois, USA (1998)Search in Google Scholar

VerWeyst, B. E., TuckerIII, C. L., “Fiber Suspensions in Complex Geometries: Flow/Orientation Coupling”, Can. J. Chem. Eng., 80, 10931106 (2002) 10.1002/cjce.5450800611Search in Google Scholar

Vincent, M., Giroud, T., Clarke, A. and Eberhardt, C., “Description and Modeling of Fiber Orientation in Injection Molding of Fiber Reinforced Thermoplastics”, Polymer, 46, 67196725 (2005) 10.1016/j.polymer.2005.05.026Search in Google Scholar

Wang, J., “Improved Fiber Orientation Predictions for Injection Molded Composites”, PhD Thesis, University of Illinois at Urbana-Champaign, Illinois, USA (2007)Search in Google Scholar

Wang, J., Cook, P., Bakharev, A., Costa, F. and Astbury, D., “Prediction of Fiber Orientation in Injection-Molded Parts Using Three-Dimensional Simulations”, AIP Conference Proceedings, 1713 040007 (2016) 10.1063/1.4942272Search in Google Scholar

Wang, J., O'Gara, J. F. and TuckerIII, C. L., “An Objective Model for Slow Orientation Kinetics in Concentrated Fiber Suspensions: Theory and Rheological Evidence”, J. Rheol., 52, 11791200 (2008) 18755969 10.1122/1.2946437Search in Google Scholar

Wonisch, A., Wüst, A., “More Precise Part Design: Accurate Simulation of Fiber Orientation of Glass Fiber-Reinforced Plastics”, Kunststoffe International, issue 9, 80–83 (2014)Search in Google Scholar

Received: 2016-12-17
Accepted: 2017-06-19
Published Online: 2018-04-17
Published in Print: 2018-03-02

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