Citation: Hossein Pourrahmani, Mona Golparvar, Mohammad Fasihi. A New Evaluation Criterion for Optimizing the Mechanical Properties of Toughened Polypropylene/Silica Nanocomposites[J]. Chinese Journal of Polymer Science doi: 10.1007/s10118-020-2399-5 shu

A New Evaluation Criterion for Optimizing the Mechanical Properties of Toughened Polypropylene/Silica Nanocomposites

a.
Group of Energy Materials, École Polytechnique Fédérale de Lausanne, Sion 1951, Switzerland
b.
School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
c.
School of Mechanical Engineering, Braunschweig university of technology, Braunschweig 38106, Germany

Corresponding author: Mohammad Fasihi, mfasihi@iust.ac.ir
Received Date: 11 November 2019
Revised Date: 14 January 2020
Available Online: 15 April 2020

This study aims to experiment with the mechanical properties of polypropylene (PP)/thermoplastic elastomer/nano-silica/compatibilizer nanocomposite using the melt mixing method. The addition of polyolefin elastomers has proved to be an approachable solution for low impact strength of PP, while it would also reduce the Young′s modulus and tensile strength. That is why reinforcement would be applied to this combination to enhance the elastic modulus. The mechanical properties of the prepared composites were devised to train an artificial neural network to predict these properties of the system in 6256 unknown points. Therefore, the sensitivity analysis was performed and the share of each input parameter on the respective output values was calculated. Additionally, a novel parameter called nanocomposite evaluation criterion (NEC) is introduced to analyze the suitability of the nanocomposites considering the mechanical properties. Accordingly, the formulation with optimal mechanical properties of toughness, elongation at break, tensile strength, Young′s modulus, and impact strength was obtained.
- Nanocomposite,
- Polypropylene (PP),
- Silica,
- Artificial neural networks,
- Nanocomposite evaluation criterion (NEC),
- Sensitivity analysis
1. [1]
  Maira, B.; Takeuchi, K.; Chammingkwan, P.; Terano, M.; Taniike, T. Thermal conductivity of polypropylene/aluminum oxide nanocomposites prepared based on reactor granule technology. Compos. Sci. Technol. 2018, 165, 259−265. doi: 10.1016/j.compscitech.2018.07.007
2. [2]
  Xu, C.; Zheng, Z.; Wu, W.; Wang, Z.; Fu, L. Dynamically vulcanized PP/EPDM blends with balanced stiffness and toughness via in-situ compatibilization of MAA and excess ZnO nanoparticles: preparation, structure and properties. Compos. Part B Eng. 2019, 160, 147−157. doi: 10.1016/j.compositesb.2018.10.014
3. [3]
  Aumnate, C.; Limpanart, S.; Soatthiyanon, N.; Khunton, S. PP/organoclay nanocomposites for fused filament fabrication (FFF) 3D printing. Express Polym. Lett. 2019, 13, 898−909. doi: 10.3144/expresspolymlett.2019.78
4. [4]
  Shonaike, G. O.; Matsuo, T. Impregnation conditions on glass fiber reinforced thermoplastic polyster elastomer composites. J. Reinf. Plast. Compos. 1996, 15, 16−29. doi: 10.1177/073168449601500102
5. [5]
  Shonaike, G. O.; Matsuo, T. Experimental analysis of relation between shear coupling element and bias angle of carbon fiber reinforced polyether-polyester elastomer composites. J. Reinf. Plast. Compos. 1997, 16, 217−225. doi: 10.1177/073168449701600302
6. [6]
  Lee, J. W.; Kwon, T.; Kang, Y.; Han, T. H.; Cho, C. G.; Hong, S. M.; Hwang, S. W.; Koo, C. M. Styrenic block copolymer/sulfonated graphene oxide composite membranes for highly bendable ionic polymer actuators with large ion concentration gradient. Compos. Sci. Technol. 2018, 163, 63−70. doi: 10.1016/j.compscitech.2018.05.002
7. [7]
  Paran, S. M. R.; Abdorahimi, M.; Shekarabi, A.; Khonakdar, H. A.; Jafari, S. H.; Saeb, M. R. Modeling and analysis of nonlinear elastoplastic behavior of compatibilized polyolefin/polyester/clay nanocomposites with emphasis on interfacial interaction exploration. Compos. Sci. Technol. 2018, 154, 92−103. doi: 10.1016/j.compscitech.2017.11.018
8. [8]
  Sun, W. J.; Xu, L.; Jia, L. C.; Zhou, C. G.; Xiang, Y.; Yin, R. H.; Yan, D. X.; Tang, J. H.; Li, Z. M. Highly conductive and stretchable carbon nanotube/thermoplastic polyurethane composite for wearable heater. Compos. Sci. Technol. 2019, 181, 107695. doi: 10.1016/j.compscitech.2019.107695
9. [9]
  Huang, Z. M. Characterization of knitted fabric reinforced elastomer composite. J. Reinf. Plast. Compos. 1999, 18, 118−137. doi: 10.1177/073168449901800202
10. [10]
  Bajsić, E. G.; Šmit, I.; Leskovac M. Blends of thermoplastic polyurethane and polypropylene. I. Mechanical and phase behavior. J. Appl. Polym. Sci. 2007, 104, 3980−3985. doi: 10.1002/app.26222
11. [11]
  Fasihi, M.; Mansouri, H. Effect of rubber interparticle distance distribution on toughening behavior of thermoplastic polyolefin elastomer toughened polypropylene. J. Appl. Polym. Sci. 2016, 133, 44068.
12. [12]
  Liang, J. Z. Mechanical properties and morphology of polypropylene/poly(ethylene-co-octene) blends. J. Polym. Environ. 2012, 20, 872−878. doi: 10.1007/s10924-012-0441-6
13. [13]
  Członka, S.; Strąkowska, A.; Strzelec, K.; Kairytė, A.; Vaitkus, S. Composites of rigid polyurethane foams and silica powder filler enhanced with ionic liquid. Polym. Test. 2019, 75, 12−25. doi: 10.1016/j.polymertesting.2019.01.021
14. [14]
  Sahraeian, R.; Davachi, S. M.; Heidari, B. S. The effect of nanoperlite and its silane treatment on thermal properties and degradation of polypropylene/nanoperlite nanocomposite films. Compos. Part B Eng. 2019, 162, 103−111. doi: 10.1016/j.compositesb.2018.10.093
15. [15]
  Davachi, S. M.; Heidari, B. S.; Sahraeian, R.; Abbaspourrad, A. The effect of nanoperlite and its silane treatment on the crystallinity, rheological, optical, and surface properties of polypropylene/nanoperlite nanocomposite films. Compos. Part B Eng. 2019, 175, 107088. doi: 10.1016/j.compositesb.2019.107088
16. [16]
  Parimalam, M.; Islam, M. R.; Yunus, R. M. Effects of nanosilica, zinc oxide, titatinum oxide on the performance of epoxy hybrid nanocoating in presence of rubber latex. Polym. Test. 2018, 70, 197−207. doi: 10.1016/j.polymertesting.2018.07.008
17. [17]
  Panaitescu, D. M.; Vuluga, Z.; Radovici, C.; Nicolae, C. Morphological investigation of PP/nanosilica composites containing SEBS. Polym. Test. 2012, 31, 355−365. doi: 10.1016/j.polymertesting.2011.12.010
18. [18]
  Lee, S. H.; Kontopoulou, M.; Park, C. B. Effect of nanosilica on the co-continuous morphology of polypropylene/polyolefin elastomer blends. Polymer 2010, 51, 1147−1155. doi: 10.1016/j.polymer.2010.01.018
19. [19]
  Liu, Y.; Kontopoulou, M. The structure and physical properties of polypropylene and thermoplastic olefin nanocomposites containing nanosilica. Polymer 2006, 47, 7731−7739. doi: 10.1016/j.polymer.2006.09.014
20. [20]
  Canto, L. B. Aspects regarding the efficiency of nanosilica as an interfacial compatibilizer of a polypropylene/ethylene vinyl-acetate immiscible blend. Polym. Test. 2019, 73, 135−142. doi: 10.1016/j.polymertesting.2018.11.012
21. [21]
  Liu, B.; Shangguan, Y.; Zheng, Q. Toughening of ethylene-propylene random copolymer/clay nanocomposites: Comparison of different compatibilizers. Chinese J. Polym. Sci. 2012, 30, 853−864. doi: 10.1007/s10118-012-1185-4
22. [22]
  Ma, G.; Zhai, J.; Liu, B.; Huang, D.; Sheng, J. Plasma modification of polypropylene surfaces and grafting copolymerization of styrene onto polypropylene. Chinese J. Polym. Sci. 2012, 30, 423−435. doi: 10.1007/s10118-012-1130-6
23. [23]
  Wang, L.; Jiang, Z.; Liu, F.; Zhang, Z.; Tang, T. Effects of branches on the crystallization kinetics of polypropylene-g-polystyrene and polypropylene-g-poly(n-butyl acrylate) graft copolymers with well-defined molecular structures. Chinese J. Polym. Sci. 2014, 32, 333−349. doi: 10.1007/s10118-014-1404-2
24. [24]
  Bikiaris, D. N.; Vassiliou, A.; Pavlidou, E.; Karayannidis, G. P. Compatibilisation effect of PP-g-MA copolymer on iPP/SiO₂ nanocomposites prepared by melt mixing. Eur. Polym. J. 2005, 41, 1965−1978. doi: 10.1016/j.eurpolymj.2005.03.008
25. [25]
  Tessier, R.; Lafranche, E.; Krawczak, P. Development of novel melt-compounded starch-grafted polypropylene/polypropylene-grafted maleic anhydride/organoclay ternary hybrids. Express Polym. Lett. 2012, 6, 937−952. doi: 10.3144/expresspolymlett.2012.99
26. [26]
  Bezerra, E. M.; Bento, M. S.; Rocco, J. A. F. F.; Iha, K.; Lourenço. V. L.; Pardini, L. C. Artificial neural network (ANN) prediction of kinetic parameters of (CRFC) composites. Comput. Mater. Sci. 2008, 44, 656−663. doi: 10.1016/j.commatsci.2008.05.002
27. [27]
  Seyhan, A. T.; Tayfur, G.; Karakurt, M.; Tanoğlu, M. Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites. Comput. Mater. Sci. 2005, 34, 99−105. doi: 10.1016/j.commatsci.2004.11.001
28. [28]
  Pourrahmani, H.; Moghimi, M.; Siavashi, M. Thermal management in PEMFCs: the respective effects of porous media in the gas flow channel. Int. J. Hydrog. Energy 2019, 44, 3121−3137. doi: 10.1016/j.ijhydene.2018.11.222
29. [29]
  Pourrahmani, H.; Moghimi, M.; Siavashi, M.; Shirbani, M. Sensitivity analysis and performance evaluation of the PEMFC using wave-like porous ribs. Appl. Therm. Eng. 2019, 150, 433−444. doi: 10.1016/j.applthermaleng.2019.01.010
30. [30]
  Pourrahmani, H.; Siavashi, M.; Moghimi, M. Design optimization and thermal management of the PEMFC using artificial neural networks. Energy 2019, 182, 443−459. doi: 10.1016/j.energy.2019.06.019
31. [31]
  Nazari, A.; Riahi, S. Prediction split tensile strength and water permeability of high strength concrete containing TiO₂ nanoparticles by artificial neural network and genetic programming. Compos. Part B Eng. 2011, 42, 473−488. doi: 10.1016/j.compositesb.2010.12.004
32. [32]
  Câmara, E. C. B.; Freire, R. C. S. Using neural networks to modeling the transverse elasticity modulus of unidirectional composites. Compos. Part B Eng. 2011, 42, 2024−2029. doi: 10.1016/j.compositesb.2011.04.042
33. [33]
  Liu, Q.; Li, H.; Yan, S. Structure and properties of β-polypropylene reinforced by polypropylene fiber and polyamide fiber. Chinese J. Polym. Sci. 2014, 32, 509−518. doi: 10.1007/s10118-014-1417-x
34. [34]
  Zhu, H.; Du, M.; Xu, C.; Zhang, X.; Fu, Y. Organic-inorganic hybrid network constructed in polypropylene matrix and its reinforcing effects on polypropylene composites. J. Reinf. Plast. Compos. 2013, 32, 174−182. doi: 10.1177/0731684412467841
35. [35]
  Saleeb, A. F.; Wilt, T. E.; Al-Zoubi, N. R.; Gendy, A. S. An anisotropic viscoelastoplastic model for composites—sensitivity analysis and parameter estimation. Compos. Part B Eng. 2003, 34, 21−39. doi: 10.1016/S1359-8368(02)00078-1
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