新竹，台湾 — 2018年12月11日 —使用兼顾轻量与结构、又相对环保的纤维强化复合材料来制造塑料产品，已经是全球产业的主流趋势。科盛科技(Moldex3D)不但持续为纤维复材打造完整的仿真功能，在该领域更是有独到的技术，同时也多次荣获知名期刊的高度赞誉与肯定，并表扬其在流变学界致力于纤维配向预测研究的成果。科盛研发的iARD-RPR创新纤维配向理论模式，只需要三个参数，就能准确预测射出成型生产的复杂几何产品的非等向纤维配向行为，是传统技术的一大突破。
「很荣幸我的研究能够获得国际肯定，」科盛科技研发项目经理曾焕锠博士表示，「科盛科技研发团队核心使命之一，就是将我们在流变学领域研究的斩获，不论是理论或实验层面，实际应用于Moldex3D的软件开发。」近年来，科盛在纤维复材模拟上的技术除了获得多项美国与欧盟专利之外，研究论文也屡受众多国际知名期刊收录与转载，包括Journal of Rheology®、Polymer Composites等等。
Moldex3D兼具文献理论跟实验双重验证，能够针对添加玻璃纤维的射出成型制程，提供完整仿真分析的软件；Moldex3D模拟分析技术带来快速且强大的轻量化评估能量，帮助使用者在模拟阶段，获得更完整及精确的分析结果，提升生产效能。
以下为科盛截至目前于全球获专业期刊登载的纤维复材领域论文总汇集，这些信息也同步收录于Moldex3D技术论文页面，提供给Moldex3D用户以及纤维复材仿真领域的产学界人士丰富的知识库。若对于Moldex3D纤维复材领域研究动态感兴趣，亦欢迎追踪科盛科技研究发展部项目经理─曾焕锠博士的Research Gate账号。
Moldex3D纤维复材研究论文总汇集
[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, https://journals.sagepub.com/doi/pdf/10.1177/0892705718804599).
https://journals.sagepub.com/doi/abs/10.1177/0892705718804599?journalCode=jtca
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