新竹，台灣 — 2018年12月11日 — 使用兼顧輕量與結構、又相對環保的纖維強化複合材料來製造塑膠產品，已經是全球產業的主流趨勢。科盛科技(Moldex3D)不但持續為纖維複材打造完整的模擬功能，在該領域更是技術領先、獨步全球，同時也多次榮獲知名期刊的高度讚譽與肯定，並表揚其在流變學界致力於纖維配向預測研究的卓越成果。科盛研發的iARD-RPR創新纖維配向理論模式，只需要三個參數，就能準確預測射出成型生產的複雜幾何產品的非等向纖維配向行為，是傳統技術的一大突破。
「很榮幸我的研究能夠獲得國際肯定，」科盛科技研發專案經理曾煥錩博士表示，「科盛科技研發團隊核心使命之一，就是將我們在流變學領域研究的斬獲，不論是理論或實驗層面，實際應用於Moldex3D的軟體開發。」近年來，科盛在纖維複材模擬上的技術除了獲得多項美國與歐盟專利之外，研究論文也屢受眾多國際知名期刊收錄與轉載，包括Journal of Rheology®、Polymer Composites等等。
Moldex3D是目前唯一兼具文獻理論跟實驗雙重驗證，能夠針對添加玻璃纖維的射出成型製程，提供完整模擬分析的軟體；Moldex3D模擬分析技術帶來快速且強大的輕量化評估能量，幫助使用者在模擬階段，獲得更完整及精確的分析結果，提升生產效能。
以下為科盛截至目前於全球獲專業期刊登載的纖維複材領域論文總匯集，這些資訊也同步收錄於Moldex3D技術論文頁面，提供給Moldex3D用戶以及纖維複材模擬領域的產學界人士豐富的知識庫。若對於Moldex3D纖維複材領域研究動態感興趣，亦歡迎追蹤科盛科技研究發展部專案經理─曾煥錩博士的Research Gate帳號。
Moldex3D纖維複材研究論文總匯集
[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
關於科盛科技(Moldex3D)
科盛科技股份有限公司(Moldex3D)正式成立於1995年，以提供塑膠射出成型業界專業的模具設計優化解決方案為己任，陸續開發出Moldex與Moldex3D系列軟體。科盛科技秉持著貼近客戶、提供專業在地化的服務精神，積極擴展全球銷售與服務網絡，成為全世界最專業的CAE模流分析軟體供應商，解決用戶在產品開發上的障礙，協助排除設計問題，優化設計方案，縮短開發時程，提高產品投資報酬率。如需獲得更多科盛科技相關的資訊，請參閱：www.moldex3d.com。