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http://dx.doi.org/10.5762/KAIS.2018.19.4.623

Identification of Cross-WLF Viscosity Model Parameters Using Optimization Technique  

Kim, Sun-Yong (School of Mechanical Engineering, Ulsan College)
Park, Si-Hwan (School of Mechanical Engineering, Ulsan College)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.4, 2018 , pp. 623-632 More about this Journal
Abstract
Predicting the behavior of rheological polymers is highly shear rate- and temperature-dependent. The Cross-WLF viscosity model has become a powerful solution that describes the shear rate- and temperature-dependent characteristics. To estimate the behavior of polymers in computational simulations, the coefficients of the Cross-WLF model should be well identified. An identification technique was proposed to determine the Cross-WLF viscosity model coefficient. The assumption is that the Cross-WLF viscosity model well describes the real characteristics of polymers when the calculated viscosity with the parameters is identical to the reference data. In this study, Auto-desk Moldflow data were used as a reference. The numerical examples showed that the proposed method accurately identifies the Cross-WLF viscosity model coefficients.
Keywords
Cross-WLF viscosity model coefficients; Identification; Optimization procedure; Sensitivity analysis; Injection molding;
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1 S.Y. Kim and D.H. Lee, "Identification of fractional-derivative-model parameters of viscoelastic materials from measured FRFs," Journal of Sound and Vibration, vol. 324, no. 3-5, pp. 570-586, 2009. DOI: https://doi.org/10.1016/j.jsv.2009.02.040   DOI
2 Moldflow, Autodesk Moldflow Insight 2016, 2016 Autodesk Inc., 2016.
3 Matlab, Matlab R2017a, MathWorks Inc., 2017.
4 Moldflow Plastics Labs, Moldflow Material Testing Report, 2007.
5 C.A.Hieber and H.H. Chiang, "Shear-rate-dependence modeling of polymer melt viscosity," Polymer Engineering and Science, vol. 32, no. 14, pp. 931-938, 1992. DOI: https://doi.org/10.1002/pen.760321404   DOI
6 W.A. Rahman, LT. Sin and A.R. Rahmat, "Injection moulding simulation analysis of natural fiber composite window frame," Journal of Materials Processing Technology, vol. 197, no. 1-3, pp. 22-30, 2008. DOI: https://doi.org/10.1016/j.jmatprotec.2007.06.014   DOI
7 X. Shi, M. Huang, Z. Zaho and C. Shen, "Nonlinear Fitting Technology of 7-Parameters Cross-WLF Viscosity Model," Advanced Materials Research, Vols. 189-193, pp. 2103-2106, 2011. DOI: https://doi.org/10.4028/www.scientific.net/AMR.189-193.2103   DOI
8 R. Deng, P. Davis and A.K. Bajaj, "Flexible polyurethane foam modeling and identification of viscoelastic parameters for automotive seating applications," Journal of Vibration and Acoustics, vol. 262, no. 3, pp. 391-417, 2003. DOI: https://doi.org/10.1016/S0022-460X(03)00104-4
9 D.H. Lee and W.S. Hwang, "Identification of dynamic joint characteristics using multi-domain FRF-based substructing method," Transactions of Korean Society for Noise and Vibration Engineering, vol. 14, no. 6, pp. 536-545, 2004. DOI: https://doi.org/10.5050/KSNVN.2004.14.6.536   DOI
10 S.Y. Kim and D.H. Lee, "Identification of fractional-derivative-model parameters of viscoelastic materials using an optimization technique," Transactions of Korean Society for Noise and Vibration Engineering, vol. 16, no. 12, pp. 1192-1200, 2006. DOI: https://doi.org/10.5050/KSNVN.2006.16.12.1192   DOI