Moldex3D’s Research Papers in Composites: the Knowledge Library for Industries

on 12/11/2018

Hsinchu, Taiwan – December 11, 2018 – Utilizing fiber-reinforced composites materials satisfying both lightweight and structure needs for plastic production are now a main global industry trend. CoreTech Systems Co., Ltd. (Moldex3D) provides comprehensive simulation capabilities for composites, and also holds world-leading technology and research in this field.  As an example, iARD-RPR, a new fiber orientation model invented by Moldex3D, is a significant breakthrough. In this theoretical model, only three parameters are required to accurately predict the anisotropic fiber orientation of complicated geometries in injection molding simulation.

Moldex3D’s composites simulation technology has also been recognized around the world.  It has received US patents and the relevant research papers are published in many prestigious journals including Journal of Rheology® and Polymer Composites. We also have more collections of such papers received in professional journals.  To view these, visit Moldex3D Technical Papers, the knowledge library for professionals in plastic engineering academic and industries.

If you are interested in Moldex3D’s research about fiber and composites simulation, follow the Research Gate of Dr. Ivor Tzeng, Project Manager at Moldex3D Product R&D Division.

 

Moldex3D’s Published Research Papers in Composites Field

[1] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Phenomenological Improvements to Predictive Models of Fiber Orientation in Concentrated Suspensions.” J Rheol 57 1597-1631 (2013).
https://sor.scitation.org/doi/10.1122/1.4821038

[2] Foss, P. H., H.-C. Tseng, J. Snawerdt, Y.-J. Chang, W.-H. Yang, and C.-H. Hsu, “Prediction of Fiber Orientation Distribution in Injection Molded Parts Using Moldex3d Simulation.” Polym Compos 35 671-680 (2014).
https://onlinelibrary.wiley.com/doi/abs/10.1002/pc.22710

[3] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “An Objective Tensor to Predict Anisotropic Fiber Orientation in Concentrated Suspensions.” J Rheol 60 215-224 (2016).
https://sor.scitation.org/doi/10.1122/1.4939098

[4] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Numerical Prediction of Fiber Orientation and Mechanical Performance for Short/Long Glass and Carbon Fiber-Reinforced Composites.” Compos Sci and Technol 144 51-56 (2017).
https://www.sciencedirect.com/science/article/pii/S0266353816318802

[5] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Improved Fiber Orientation Predictions for Injection Molded Fiber Composites.” Composites Part A: Applied Science and Manufacturing 99 65-75 (2017).
https://www.sciencedirect.com/science/article/pii/S1359835X17301537

[6] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “An Integration of Microstructure Predictions and Structural Analysis in Long-Fiber-Reinforced Composite with Experimental Validation.” Int Polym Process 32 455-466 (2017).
https://www.hanser-elibrary.com/doi/abs/10.3139/217.3377

[7] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “The Use of Shear-Rate-Dependent Parameters to Improve Fiber Orientation Predictions for Injection Molded Fiber Composites.” Composites Part A: Applied Science and Manufacturing 104 81-88 (2017).
https://www.sciencedirect.com/science/article/pii/S1359835X17303974

[8] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Numerical Predictions of Fiber Orientation and Mechanical Properties for Injection-Molded Long-Glass-Fiber Thermoplastic Composites.” Compos Sci and Technol 150 181-186 (2017).
https://www.sciencedirect.com/science/article/pii/S0266353817308242

[9] Favaloro, A. J., H.-C. Tseng, and R. B. Pipes, “A New Anisotropic Viscous Constitutive Model for Composites Molding Simulation.” Composites Part A: Applied Science and Manufacturing 115 112-122 (2018).
https://www.sciencedirect.com/science/article/pii/S1359835X18303816

[10] Huang, C.-T. and H.-C. Tseng, “Simulation Prediction of the Fiber Breakage History in Regular and Barrier Structure Screws in Injection Molding.” Polym Eng Sci 58 452-459 (2018).
https://onlinelibrary.wiley.com/doi/abs/10.1002/pen.24660

[11] 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 39 2847-2859 (2018).
https://onlinelibrary.wiley.com/doi/abs/10.1002/pc.24277

[12] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Numerical Predictions of Fiber Orientation for Injection Molded Rectangle Plate and Tensile Bar with Experimental Validations.” Int Polym Process 33 96-105 (2018).
https://www.hanser-elibrary.com/doi/abs/10.3139/217.3404

[13] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Numerical Predictions of Fiber Orientation and Mechanical Properties for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites.” Polym Compos 39 3726-3739 (2018).
https://onlinelibrary.wiley.com/doi/abs/10.1002/pc.24403

[14] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Effect of the Packing Stage on Fiber Orientation for Injection Molding Simulation of Fiber-Reinforced Composites.” J Thermoplast Compos Mater 31 1204-1218 (2018).
https://journals.sagepub.com/doi/abs/10.1177/0892705717734605

[15] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Predictions of Fiber Concentration in Injection Molding Simulation of Fiber-Reinforced Composites.” J Thermoplast Compos Mater 31 1529-1544 (2018).
https://journals.sagepub.com/doi/abs/10.1177/0892705717738302?journalCode=jtca

[16] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “The Use of Principal Spatial Tensor to Predict Anisotropic Fiber Orientation in Concentrated Fiber Suspensions.” J Rheol 62 313-320 (2018).
https://sor.scitation.org/doi/10.1122/1.4998520

[17] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Numerical Investigations of Fiber Orientation Models for Injection Molded Long Fiber Composites.” Int Polym Process 33 543-552 (2018).
https://www.hanser-elibrary.com/doi/abs/10.3139/217.3550

[18] Tseng, H.-C., M. Goto, R.-Y. Chang, and C.-H. Hsu, “Accurate Predictions of Fiber Orientation and Mechanical Properties in Long-Fiber-Reinforced Composite with Experimental Validation.” Polym Compos 39 3434-3445 (2018).
https://onlinelibrary.wiley.com/doi/abs/10.1002/pc.24361

[19] Tseng, H.-C., R.-Y. Chang, and C.-H. Hsu, “Comparison of Recent Fiber Orientation Models in Injection Molding Simulation of Fiber-Reinforced Composites.” J Thermoplast Compos Mater (2018, First Published, http://journals.sagepub.com/doi/pdf/10.1177/0892705718804599).
https://journals.sagepub.com/doi/abs/10.1177/0892705718804599?journalCode=jtca

 

About CoreTech System (Moldex3D)
CoreTech System Co., Ltd. (Moldex3D) has been providing the professional CAE analysis solution “Moldex” series for the plastic injection molding industry since 1995, and the current product “Moldex3D” is marketed worldwide. Committed to providing advanced technologies and solutions to meet industrial demands, CoreTech System has extended its sales and service network to provide local, immediate, and professional service. CoreTech System presents innovative technology, which helps customers troubleshoot from product design to development, optimize design patterns, shorten time-to-market, and maximize product return on investment (ROI). More information can be found at www.moldex3d.com.


Test drive Moldex3D

Join the thousands companies using Moldex3D

Talk to Sales

Schedule a product demo with our sales team