journal article·2025-04-10Open access

Mapping of composition‐rheology relationships in polymer composite‐type precursors

Caitlin A. Grover, Cindy Bonilla Bernal, Irmak Sargin, Scott P. Beckman, B. Arda Gozen

Polymer Composites· Volume 46· Issue 5

Abstract

Abstract Considering their simplicity, processibility, and tunable rheological properties, polymer composite‐type precursors hold exceptional promise in the processing of polymers, ceramics, metals, and their composites. This large variety of precursors used in many different applications cover a large compositional space with dramatically varying rheological properties. Understanding how precursor composition influences their rheological properties is a key need towards streamlining the design and implementation of these precursors. With regard to this design advancement, this study elucidates the composition‐rheology relationships of graphene‐poly(ethylene) oxide (PEO) composite inks as a sample polymer composite‐type precursor. To this end, shear and extensional rheology of numerous compositions were studied across a wide compositional space, which varied graphene concentration, total solid concentration, and binder molecular weight. These studies showed that composition greatly affected various rheological parameters, such as the overall presence of yielding behavior. Specifically, this study illustrated the influence of (i) binder structure, (ii) total solid loading, and (iii) binder‐filler interactions on ink rheology. Extensional rheology was studied to examine how relaxation behaviors were dependent on composition and explicate how relaxation behaviors coincide with responses to shear forces. In tandem, our results illuminate significant composition‐rheology relationships in polymer composite‐type precursors. Highlights Rheology of polyethylene oxide‐graphene composite precursors were studied. Shear and extensional rheology, and their correlations were investigated. Composition‐binder molecular weight‐yielding relationships were elucidated. Extensional relaxation regimes were identified with respect to composition. Results can be used to determine compositional ranges for different processes.
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Research context

OpenAlex topics: Polymer Nanocomposites and Properties · Polymer crystallization and properties · Epoxy Resin Curing Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical and Materials Engineering Washington State University Pullman Washington USA

Department of Metallurgical and Materials Engineering Middle East Technical University Ankara Turkey

Funding

U.S. Department of Defense · National Science Foundation

References (43)

Show source-provided references
1. 10.1039/d2cp02678c10.1039/d2cp02678c ↗
2. 10.1007/BF0111191910.1007/BF01111919 ↗
3. 10.1016/j.compositesb.2020.10823810.1016/j.compositesb.2020.108238 ↗
4. 10.1080/09506608.2019.165200610.1080/09506608.2019.1652006 ↗
5. 10.1016/j.jiec.2020.02.00210.1016/j.jiec.2020.02.002 ↗
6. 10.1016/j.jeurceramsoc.2009.07.01910.1016/j.jeurceramsoc.2009.07.019 ↗
7. 10.3390/polym1512270810.3390/polym15122708 ↗
8. 10.1002/app.5496110.1002/app.54961 ↗
9. 10.1038/srep4340110.1038/srep43401 ↗
10. 10.1073/pnas.171515711510.1073/pnas.1715157115 ↗
11. 10.1007/s40820‐022‐00909‐210.1007/s40820‐022‐00909‐2 ↗
12. 10.1016/j.compositesb.2023.11066110.1016/j.compositesb.2023.110661 ↗
13. 10.1016/j.polymer.2007.12.03510.1016/j.polymer.2007.12.035 ↗
14. 10.1021/ma002191w10.1021/ma002191w ↗
15. 10.1002/polb.1036010.1002/polb.10360 ↗
16. 10.1016/S0378-7753(00)00424-910.1016/S0378-7753(00)00424-9 ↗
17. 10.3390/ma1312277110.3390/ma13122771 ↗
18. 10.1002/app.3995310.1002/app.39953 ↗
19. 10.33263/BRIAC124.5709571510.33263/BRIAC124.57095715 ↗
21. The dynamic properties of carbon black loaded natural rubber vulcanizates. Part I1
22. 10.1002/polb.2169510.1002/polb.21695 ↗
23. 10.1038/nnano.2008.9610.1038/nnano.2008.96 ↗
24. 10.1021/ma901115810.1021/ma9011158 ↗
25. 10.1016/j.progpolymsci.2016.12.00710.1016/j.progpolymsci.2016.12.007 ↗
26. 10.1016/j.jechem.2021.08.01110.1016/j.jechem.2021.08.011 ↗
27. 10.1016/0377-0257(96)01439-510.1016/0377-0257(96)01439-5 ↗
28. 10.1016/j.jmatprotec.2021.11747010.1016/j.jmatprotec.2021.117470 ↗
29. Herschel WH · 1926 · 291
30. 10.1122/1.54992610.1122/1.549926 ↗
31. 10.1007/BF0151305910.1007/BF01513059 ↗
32. MckinleyGH.Visco‐elasto‐capillary thinning and break‐up of complex fluids.2005http://web.mit.edu/fluids
33. AkaikeH.Information theory and an extension of the maximum likelihood principle.1972.
34. 10.1122/1.55000610.1122/1.550006 ↗
35. 10.1016/j.compositesb.2022.11022310.1016/j.compositesb.2022.110223 ↗
36. 10.1016/j.jcis.2011.09.08610.1016/j.jcis.2011.09.086 ↗
37. 10.1111/j.1551‐2916.2006.01382.x10.1111/j.1551‐2916.2006.01382.x ↗
38. 10.1021/acsapm.0c0122810.1021/acsapm.0c01228 ↗
39. 10.1016/j.addma.2020.10165810.1016/j.addma.2020.101658 ↗
40. 10.1039/c7sm00950j10.1039/c7sm00950j ↗
41. 10.1016/j.dental.2005.05.00810.1016/j.dental.2005.05.008 ↗
42. 10.3390/jcs501002410.3390/jcs5010024 ↗
43. 10.1016/j.jmrt.2020.09.09210.1016/j.jmrt.2020.09.092 ↗