Modeling and interpreting large deformation behavior of rubber nanocomposites containing carbon nanotubes and nanoplatelets
Source abstract
Abstract
The principles of large deformation rubber viscoelasticity are not new, but there is a need to make explicit certain theories or modify the available models for deeper understanding of behavior of rubber nanocomposites. The difficulties are chiefly due to the assumptions under which a given theoretical model fails to predict large deformation behavior of elastomer nanocomposites, as models are basically proposed for neat rubbers, and more critically they can hardly be supposed to remain valid for systems in which two or more nanofillers having different nature, shape, and size are used. This work attempts to apply nonlinear hyperelastic theoretical models proposed for hyperelastic behavior of rubbers for nanocomposites containing multi‐walled carbon nanotubes (MWCNTs) and graphene nanoplatelets (GnPs), and to explore the interplay between morphology, viscoelastic properties, and large deformation behavior of typical hydrogenated acrylonitrile butadiene rubber (HNBR)‐based rubber nanocomposites. Morphological observations used for knowing the localization of nanofillers, where dynamic mechanical and uniaxial tensile strength analyses exhibited a rise in both Young's modulus and tensile strength of composites by MWCNTs and GNPs content up to 200 and 160%, respectively. We applied Arruda‐Boyce model and appropriately predicted nonlinear hyperelastic behavior of HNBR model nanocomposites and interfacial interactions between phases, as recognized by comparing model parameters for nanocomposites containing only MWCNTs, or only GNPs, and their combinations varying filler content. POLYM. COMPOS., 40:E1548–E1558, 2019. © 2018 Society of Plastics Engineers
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Polymer Nanocomposites and Properties · Elasticity and Material Modeling · Polymer composites and self-healing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Polymer Processing Iran Polymer and Petrochemical Institute P.O. Box: 14965‐115, Tehran Iran
Leibniz Institute of Polymer Research Dresden, Hohe Straße 6 D‐01069 Dresden Germany
Department of Chemical Engineering Islamic Azad University, Tehran North Branch Tehran Iran
Department of Resin and Additives Institute for Color Science and Technology P.O. Box 16765‐654 Tehran Iran
References (61)
Show source-provided references
1. 10.1007/BFb002405010.1007/BFb0024050 ↗
2. 10.1021/ma00057a03510.1021/ma00057a035 ↗
3. 10.1021/ma000794210.1021/ma0007942 ↗
4. 10.5254/1.354773910.5254/1.3547739 ↗
5. 10.1016/j.jmps.2013.03.00910.1016/j.jmps.2013.03.009 ↗
6. 10.1016/j.ijnonlinmec.2013.07.00110.1016/j.ijnonlinmec.2013.07.001 ↗
7. Sussman T. · International Journal for Numerical Methods in Biomedical Engineering · 2009 · 25 · 53
8. 10.1002/app.2002910.1002/app.20029 ↗
9. 10.1016/S0167-6636(98)00031-310.1016/S0167-6636(98)00031-3 ↗
10. 10.1016/j.polymertesting.2006.12.00310.1016/j.polymertesting.2006.12.003 ↗
11. 10.1016/j.compositesa.2008.04.00310.1016/j.compositesa.2008.04.003 ↗
12. 10.1016/0022-5096(93)90013-610.1016/0022-5096(93)90013-6 ↗
13. 10.1007/BF0037613010.1007/BF00376130 ↗
14. 10.1098/rspa.2005.159210.1098/rspa.2005.1592 ↗
15. 10.1080/14658011.2016.121296710.1080/14658011.2016.1212967 ↗
16. 10.1002/mame.20170003610.1002/mame.201700036 ↗
17. 10.1007/s11043-013-9208-210.1007/s11043-013-9208-2 ↗
18. 10.1016/j.jmps.2006.07.01010.1016/j.jmps.2006.07.010 ↗
19. 10.1111/j.1744-7402.2007.02113.x10.1111/j.1744-7402.2007.02113.x ↗
20. 10.1016/j.cej.2014.07.11610.1016/j.cej.2014.07.116 ↗
21. 10.1016/j.porgcoat.2017.10.02310.1016/j.porgcoat.2017.10.023 ↗
22. 10.1016/j.compositesb.2016.12.03510.1016/j.compositesb.2016.12.035 ↗
23. 10.1021/acs.jpcc.7b0158310.1021/acs.jpcc.7b01583 ↗
24. 10.1002/app.1231910.1002/app.12319 ↗
25. 10.5254/rct.13.8793010.5254/rct.13.87930 ↗
26. 10.1016/j.eurpolymj.2014.03.00210.1016/j.eurpolymj.2014.03.002 ↗
27. 10.1016/j.apsusc.2010.07.03410.1016/j.apsusc.2010.07.034 ↗
28. 10.1016/j.tca.2009.03.01010.1016/j.tca.2009.03.010 ↗
29. 10.1021/acs.jpcb.7b1047910.1021/acs.jpcb.7b10479 ↗
30. 10.1002/app.2762410.1002/app.27624 ↗
31. 10.1039/c3sm27519a10.1039/c3sm27519a ↗
32. 10.1017/CBO978051160531410.1017/CBO9780511605314 ↗
33. 10.1023/B:ELAS.0000005553.38563.9110.1023/B:ELAS.0000005553.38563.91 ↗
34. 10.1007/978-3-642-37910-910.1007/978-3-642-37910-9 ↗
35. 10.1007/3-540-45362-8_110.1007/3-540-45362-8_1 ↗
36. 10.5254/1.354760210.5254/1.3547602 ↗
37. 10.1016/0093-6413(92)90021-210.1016/0093-6413(92)90021-2 ↗
38. 10.1016/S0167-6636(03)00064-410.1016/S0167-6636(03)00064-4 ↗
39. 10.1007/s00397-015-0851-110.1007/s00397-015-0851-1 ↗
40. 10.1007/s00397-014-0778-y10.1007/s00397-014-0778-y ↗
41. 10.5254/1.354796910.5254/1.3547969 ↗
42. 10.1111/j.1475-1305.2006.00257.x10.1111/j.1475-1305.2006.00257.x ↗
43. 10.5254/1.353834310.5254/1.3538343 ↗
44. 10.1021/ma00091a02210.1021/ma00091a022 ↗
45. 10.1002/mame.20090008310.1002/mame.200900083 ↗
46. 10.1016/S0079-6700(01)00040-510.1016/S0079-6700(01)00040-5 ↗
47. 10.1016/j.matdes.2009.11.00910.1016/j.matdes.2009.11.009 ↗
48. 10.1016/j.matdes.2015.09.06410.1016/j.matdes.2015.09.064 ↗
49. 10.1016/j.compscitech.2012.09.00510.1016/j.compscitech.2012.09.005 ↗
50. 10.1002/pi.528310.1002/pi.5283 ↗
51. 10.1039/C0JM02708A10.1039/C0JM02708A ↗
52. 10.1080/1539445X.2016.115769410.1080/1539445X.2016.1157694 ↗
53. 10.1016/j.polymer.2012.05.03910.1016/j.polymer.2012.05.039 ↗
54. 10.1002/pen.2092110.1002/pen.20921 ↗
55. 10.1002/pen.1097410.1002/pen.10974 ↗
56. 10.1016/j.compositesa.2004.10.00410.1016/j.compositesa.2004.10.004 ↗
57. 10.1039/c3ra41395k10.1039/c3ra41395k ↗
58. 10.5254/1.354789010.5254/1.3547890 ↗
59. 10.3390/ma902009210.3390/ma9020092 ↗
60. 10.1016/j.compscitech.2006.10.02110.1016/j.compscitech.2006.10.021 ↗
61. 10.1016/j.ijfatigue.2004.07.00210.1016/j.ijfatigue.2004.07.002 ↗