Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-25T13:05:52.868Z Has data issue: false hasContentIssue false

Multi-Scale Analysis of Thermo-Mechanical Properties of 2.5D Angle-Interlock Woven Shape Memory Polymer Composites

Published online by Cambridge University Press:  26 December 2018

H. Y. Sun
Affiliation:
State Key Laboratory of Mechanics and Control of Mechanical StructuresNanjing University of Aeronautics and AstronauticsNanjing, China
J. P. Gu*
Affiliation:
State Key Laboratory of Mechanics and Control of Mechanical StructuresNanjing University of Aeronautics and AstronauticsNanjing, China Jiangsu Key Laboratory of Advanced Structural Materials and Application TechnologyNanjing Institute of TechnologyNanjing, China
Y. Tang
Affiliation:
State Key Laboratory of Mechanics and Control of Mechanical StructuresNanjing University of Aeronautics and AstronauticsNanjing, China
Z. M. Xie*
Affiliation:
Center for Composite Materials and StructuresHarbin Institute of TechnologyHarbin, China
*
*Corresponding author (gujianping@njit.edu.cn; xiezhm@hit.edu.cn)
*Corresponding author (gujianping@njit.edu.cn; xiezhm@hit.edu.cn)
Get access

Abstract

A multi-scale strategy is employed in the paper to investigate the thermo-mechanical properties of 2.5D angle-interlock woven shape memory polymer composites (SMPCs). In the study, the mesoscopic model of 2.5D woven SMPCs and microscopic model of yarns are firstly developed. After that, the themo-viscoelastic constitutive relationship of the yarn is described in the form of hereditary integral and the parameters of relaxation moduli are obtained from nonlinear fitting of Prony series based on the results of finite element method (FEM). Based on the multi-scale models and the constitutive relationship, the effects of warp and weft arranged densities on viscoelastic properties of 2.5D woven SMPCs are studied in detail. Finally, the shape memory behavior along the warp direction in small strain region is also analyzed. The research in the paper lays a foundation for design and application of woven SMPCs in engineering.

Type
Research Article
Copyright
© The Society of Theoretical and Applied Mechanics 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Leng, J. S., Lan, X., Liu, Y. J. and Du, S. Y., “Shape-Memory Polymers and Their Composites: Stimulus Methods and Applications,” Progress in Materials Science, 56, pp. 1077–1135 (2011).CrossRefGoogle Scholar
Leng, J. S., Lu, H. B., Liu, Y. J., Huang, W. M. and Du, S. Y., “Shape-Memory Polymers—A Class of Novel Smart Materials,” Mrs Bulletin, 34, pp. 848–855 (2009).CrossRefGoogle Scholar
Hu, J., Zhu, Y., Huang, H. and Lu, J., “Recent Advances in Shape-Memory Polymers: Structure, Mechanism, Functionality, Modeling and Applications,” Progress in Polymer Science, 37, pp. 1720–1763 (2012).CrossRefGoogle Scholar
Hager, M. D., Bode, S., Weber, C. and Schubert, U. S., “Shape Memory Polymers: Past, Present and Future Developments,” Progress in Polymer Science, 49, pp. 3–33 (2015).CrossRefGoogle Scholar
Zhao, Q., Qi, H. J. and Xie, T., “Recent Progress in Shape Memory Polymer: New Behavior, Enabling Materials, and Mechanistic Understanding,” Progress in Polymer Science, 49, pp. 79–120 (2015).CrossRefGoogle Scholar
Zhang, C. S. and Ni, Q. Q., “Bending Behavior of Shape Memory Polymer Based Laminates,” Composite Structures, 78, pp. 153–161 (2007).CrossRefGoogle Scholar
Ahmad, M., Singh, D., Fu, Y. Q., Miraftab, M. and Luo, J. K., “Stability and Deterioration of A Shape Memory Polymer Fabric Composite under Thermomechanical Stress,” Polymer Degradation and Stability, 96, pp. 1470–1477 (2011).CrossRefGoogle Scholar
Roh, J. H., Kim, H. J. and Bae, J. S., “Shape Memory Polymer Composites with Woven Fabric Reinforcement for Self-deployable Booms,” Journal of Intelligent Material Systems and Structures, 25, pp. 2256–2266 (2014).CrossRefGoogle Scholar
Nji, J. and Li, G. Q., “A Self-Healing 3D Woven Fabric Reinforced Shape Memory Polymer Composite for Impact Mitigation,” Smart Materials and Structures, 19, pp. 35007–35015 (2010).CrossRefGoogle Scholar
Tan, P., Tong, L. and Steven, G. P., “A Three Dimensional Modeling Technique for Predicting the Linear Elastic Property of Opened-Packing Woven Fabric Unit Cells,” Composite Structures, 38, pp. 261–271 (1997).CrossRefGoogle Scholar
Tan, P., Tong, L. and Steven, G. P., “Applied Science And Manufacturing : Micromechanics Models For Mechanical And Thermomechanical Properties Of 3D Through-The-Thickness Angle Interlock Woven Composite,” Composites Part A-Applied Science and Manufacturing, 30, pp. 637–648 (1999).CrossRefGoogle Scholar
Hallal, A., Younes, R., Fardoun, F. and Nehme, S., “Improved Analytical Model to Predict the Effective Elastic Properties of 2.5D Interlock Woven Fabrics Composite,” Composite Structures, 94, pp. 3009–3028 (2012).CrossRefGoogle Scholar
Lu, Z. X., Zhou, Y., Yang, Z. Y. and Liu, Q., “Multi-Scale Finite Element Analysis of 2.5D Woven Fabric Composites under On-axis and Off-axis Tension,” Computational Materials Science, 79, pp. 485–494 (2013).CrossRefGoogle Scholar
Song, J., Wen, W., Cui, H., Zhang, H. and Xu, Y., “Finite Element Analysis of 2.5D Woven Composites, Part I: Microstructure and 3D Finite Element Model,” Applied Composite Materials, 23, pp. 29–44 (2016).CrossRefGoogle Scholar
Song, J., Wen, W., Cui, H., Zhang, H. and Xu, Y., “Finite Element Analysis of 2.5D Woven Composites, Part II: Damage Behavior Simulation and Strength Prediction,” Applied Composite Materials, 23, pp. 45–69 (2016).CrossRefGoogle Scholar
Liu, Y., Gall, K., Dunn, M. L., Greenberg, A. R. and Diani, J., “Thermomechanics of Shape Memory Polymers: Uniaxial Experiments and Constitutive Modeling,” International Journal of Plasticity, 22, pp. 279–313 (2006).CrossRefGoogle Scholar
Tobushi, H., Hashimoto, T., Hayashi, S. and Yamada, E., “Thermomechanical Constitutive Modeling in Shape Memory Polymer of Polyurethane Series,” Journal of Intelligent Material Systems and Structures, 8, pp. 711–718 (1997).CrossRefGoogle Scholar
Tobushi, H., Okumura, K., Hayashi, S. and Ito, N., “Thermomechanical Constitutive Model of Shape Memory Polymer,” Mechanics of Materials, 33, pp. 545–554 (2001).CrossRefGoogle Scholar
Diani, J., Liu, Y. and Gall, K., “Finite Strain 3D Thermoviscoelastic Constitutive Model for Shape Memory Polymers,” Polymer Engineering and Science, 46, pp. 486–492 (2006).CrossRefGoogle Scholar
Nguyen, T. D., Qi, H. J., Castro, F. and Long, K. N., “A Thermoviscoelastic Model for Amorphous Shape Memory Polymers: Incorporating Structural and Stress Relaxation,” Journal of the Mechanics and Physics of Solids, 56, pp. 2792–2814 (2008).CrossRefGoogle Scholar
Diani, J., Gilormini, P., Frédy, C. and Rousseau, I., “Predicting Thermal Shape Memory of Crosslinked Polymer Networks from Linear Viscoelasticity,” International Journal of Solids and Structures, 49, pp. 793–799 (2012).CrossRefGoogle Scholar
Tian, J. and Zhou, C. W., “Multi-Scale Coupled Numerical Analysis of Textile Composites and Structures,” Chinese Journal of Computational Mechanics, 27, pp. 1022–1028 (2010).Google Scholar
Arrieta, S., Diani, J. and Gilormini, P., “Experimental Characterization and Thermoviscoelastic Modeling of Strain and Stress Recoveries of An Amorphous Polymer Network,” Mechanics of Materials, 68, pp. 95–103 (2014).CrossRefGoogle Scholar
Schapery, R., “Thermal Expansion Coefficients of Composite Materials Based on Energy Principles,” Journal of Composite Materials, 2, pp. 380–404 (1968).CrossRefGoogle Scholar
Megnis, M. and Varna, J., “Micromechanics Based Modeling of Nonlinear Viscoplastic Response of Unidirectional Composite,” Composites Science and Technology, 63, pp. 19–31 (2003).CrossRefGoogle Scholar