Abstract
Crosslinking is one of the important pathways to tune properties of polymers for desired applications. Crosslinking of polymers ranges from weakly crosslinked elastomers to highly crosslinked epoxies. We present a computational study of indentation in weakly crosslinked polymer (WCP) networks. Indentation study offers a significant advantage by providing a direct relationship between a material’s local structure and its mechanical properties, while bulk mechanical testing is unable to do it. Although the complex network structure plays a crucial role in determining the mechanical characteristics of weakly cross-linked polymer (WCP) networks, indentation studies in these systems have received less attention. We explore the mechanical properties of a weakly crosslinked polymer network (WCP) using two indenters of different sizes. We establish a relationship between force-depth response, force-relaxation and local bond breaking in WCP network. This will help us to optimize the design of crosslinked polymer materials for desired applications and also guide future experiments.
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Fang, J., Fowler, P., Escrig, C., Gonzalez, R., Costa, J., Chamudis, L.: Development of biodegradable laminate films derived from naturally occurring carbohydrate polymers. Carbohyd. Polym. 60(1), 39–42 (2005)
Chen, L., Li, X., Li, L., Guo, S.: Acetylated starch-based biodegradable materials with potential biomedical applications as drug delivery systems. Curr. Appl. Phys. 7, 90–93 (2007)
James, H.M., Guth, E.: Theory of the elastic properties of rubber. J. Chem. Phys. 11(10), 455–481 (1943)
H, S.: Uber polymerisation. Eur. J. Inorg. Chem. 53(6), 1073–1085 (1920)
Kröger, M.: Simple models for complex nonequilibrium fluids. Phys. Rep. 390(6), 453–551 (2004)
Müller, M.: Process-directed self-assembly of copolymers: results of and challenges for simulation studies. Prog. Polym. Sci. 101, 101198 (2020)
Mukherji, D., Marques, C.M., Kremer, K.: Smart responsive polymers: fundamentals and design principles. Ann. Rev. Condens. Matter Phys. 11(1), 271–299 (2020)
Singh, M.K., Hu, M., Cang, Y., Hsu, H.-P., Therien-Aubin, H., Koynov, K., Fytas, G., Landfester, K., Kremer, K.: Glass transition of disentangled and entangled polymer melts: single-chain-nanoparticles approach. Macromolecules 53(17), 7312–7321 (2020)
Klein, J., Kumacheva, E., Mahalu, D., Perahia, D., Fetters, L.J.: Reduction of frictional forces between solid surfaces bearing polymer brushes. Nature 370(6491), 634–636 (1994)
De Beer, S., Kutnyanszky, E., Schön, P.M., Vancso, G.J., Müser, M.H.: Solvent-induced immiscibility of polymer brushes eliminates dissipation channels. Nat. Commun. 5(1), 1–6 (2014)
Singh, M.K., Ilg, P., Espinosa-Marzal, R.M., Kröger, M., Spencer, N.D.: Polymer brushes under shear: molecular dynamics simulations compared to experiments. Langmuir 31(16), 4798–4805 (2015)
Singh, M.K.: Polymer brush based tribology. In: Katiyar, J., Ramkumar, P., Rao, T., Davim, J. (eds.) Tribology in Materials and Applications. Materials Forming, Machining and Tribology, pp. 15–32. Springer, Cham (2020)
Missirlis, D., Spatz, J.P.: Combined effects of peg hydrogel elasticity and cell-adhesive coating on fibroblast adhesion and persistent migration. Biomacromology 15(1), 195–205 (2014)
Kim, S.H., Opdahl, A., Marmo, C., Somorjai, G.A.: AFM and SFG studies of phema-based hydrogel contact lens surfaces in saline solution: adhesion, friction, and the presence of non-crosslinked polymer chains at the surface. Biomaterials 23(7), 1657–1666 (2002)
Wen, J.H., Vincent, L.G., Fuhrmann, A., Choi, Y.S., Hribar, K.C., Taylor-Weiner, H., Chen, S., Engler, A.J.: Interplay of matrix stiffness and protein tethering in stem cell differentiation. Nat. Mater. 13(10), 979–987 (2014)
Beamish, J.A., Zhu, J., Kottke-Marchant, K., Marchant, R.E.: The effects of monoacrylated poly (ethylene glycol) on the properties of poly (ethylene glycol) diacrylate hydrogels used for tissue engineering. J. Biomed. Mater. Res. Part A 92(2), 441–450 (2010)
Brighenti, R., Li, Y., Vernerey, F.J.: Smart polymers for advanced applications: a mechanical perspective review. Front. Mater. 7, 196 (2020)
Stuart, M.A.C., Huck, W.T., Genzer, J., Müller, M., Ober, C., Stamm, M., Sukhorukov, G.B., Szleifer, I., Tsukruk, V.V., Urban, M., et al.: Emerging applications of stimuli-responsive polymer materials. Nat. Mater. 9(2), 101–113 (2010)
Mukherji, D., Marques, C.M., Kremer, K.: Smart responsive polymers: fundamentals and design principles. Annu. Rev. Condens. Matter Phys. 11(1), 271–299 (2020). https://doi.org/10.1146/annurev-conmatphys-031119-050618
Mukherji, D., Kremer, K.: Smart polymers for soft materials: from solution processing to organic solids. Polymers 15(15), 3229 (2023)
Maier, G.: Polymers for microelectronics. Mater. Today 4(5), 22–33 (2001)
Halek, G.W.: Relationship between polymer structure and performance in food packaging applications (1988)
Tripathi, A., Ko, Y., Kim, M., Lee, Y., Lee, S., Park, J., Kwon, Y.-W., Kwak, J., Woo, H.Y.: Optimization of thermoelectric properties of polymers by incorporating oligoethylene glycol side chains and sequential solution doping with preannealing treatment. Macromolecules 53(16), 7063–7072 (2020)
Shi, W., Shuai, Z., Wang, D.: Tuning thermal transport in chain-oriented conducting polymers for enhanced thermoelectric efficiency: a computational study. Adv. Funct. Mater. 27(40), 1702847 (2017)
Kim, G.-H., Lee, D., Shanker, A., Shao, L., Kwon, M.S., Gidley, D., Kim, J., Pipe, K.P.: High thermal conductivity in amorphous polymer blends by engineered interchain interactions. Nat. Mater. 14(3), 295–300 (2015)
Stevens, M.J.: Interfacial fracture between highly cross-linked polymer networks and a solid surface: effect of interfacial bond density. Macromolecules 34(8), 2710–2718 (2001)
Mukherji, D., Abrams, C.F.: Microvoid formation and strain hardening in highly cross-linked polymer networks. Phys. Rev. E 78(5), 050801 (2008)
Lv, G., Soman, B., Shan, N., Evans, C.M., Cahill, D.G.: Effect of linker length and temperature on the thermal conductivity of ethylene dynamic networks. ACS Macro Lett. 10(9), 1088–1093 (2021)
White, S.R., Sottos, N.R., Geubelle, P.H., Moore, J.S., Kessler, M.R., Sriram, S., Brown, E.N., Viswanathan, S.: Autonomic healing of polymer composites. Nature 409(6822), 794–797 (2001)
Sharifi, M., Jang, C., Abrams, C., Palmese, G.: Toughened epoxy polymers via rearrangement of network topology. J. Mater. Chem. A 2(38), 16071–16082 (2014)
Gold, B., Hövelmann, C., Lühmann, N., Pyckhout-Hintzen, W., Wischnewski, A., Richter, D.: The microscopic origin of the rheology in supramolecular entangled polymer networks. J. Rheol. 61(6), 1211–1226 (2017)
Hess, M., Roeben, E., Habicht, A., Seiffert, S., Schmidt, A.M.: Local dynamics in supramolecular polymer networks probed by magnetic particle nanorheology. Soft Matter 15(5), 842–850 (2019)
Rahil, Z., Pedron, S., Wang, X., Ha, T., Harley, B., Leckband, D.: Nanoscale mechanics guides cellular decision making. Integr. Biol. 8(9), 929–935 (2016)
Persson, B., Scaraggi, M.: Some comments on hydrogel and cartilage contact mechanics and friction. Tribol. Lett. 66(1), 23 (2018)
Mathis, C.H., Kang, C., Ramakrishna, S.N., Isa, L., Spencer, N.D., et al.: Indenting polymer brushes of varying grafting density in a viscous fluid: a gradient approach to understanding fluid confinement. Polymer 169, 115–123 (2019)
Mathis, C.H., Spencer, N.D., et al.: A two-step method for rate-dependent nano-indentation of hydrogels. Polymer 137, 276–282 (2018)
Singh, M.K., Kang, C., Ilg, P., Crockett, R., Kröger, M., Spencer, N.D.: Combined experimental and simulation studies of cross-linked polymer brushes under shear. Macromolecules 51(24), 10174–10183 (2018)
Müser, M.H., Li, H., Bennewitz, R.: Modeling the contact mechanics of hydrogels. Lubricants 7(4), 35 (2019)
Kalcioglu, Z.I., Mahmoodian, R., Hu, Y., Suo, Z., Van Vliet, K.J.: From macro-to microscale poroelastic characterization of polymeric hydrogels via indentation. Soft Matter 8(12), 3393–3398 (2012)
Mathesan, S., Rath, A., Ghosh, P.: Molecular mechanisms in deformation of cross-linked hydrogel nanocomposite. Mater. Sci. Eng. C 59, 157–167 (2016)
Ebenstein, D.M., Pruitt, L.A.: Nanoindentation of biological materials. Nano Today 1(3), 26–33 (2006)
Efremov, Y.M., Velay-Lizancos, M., Weaver, C.J., Athamneh, A.I., Zavattieri, P.D., Suter, D.M., Raman, A.: Anisotropy versus isotropy in living cell indentation with AFM. Sci. Rep. 9(1), 1–12 (2019)
Backes, S., Krause, P., Tabaka, W., Witt, M.U., Klitzing, R.: Combined cononsolvency and temperature effects on adsorbed pnipam microgels. Langmuir 33(50), 14269–14277 (2017)
Boots, J., Brake, D., Clough, J.M., Tauber, J., Ruiz-Franco, J., Kodger, T., Gucht, J.: Quantifying bond rupture during indentation fracture of soft polymer networks using molecular mechanophores. Phys. Rev. Mater. 6(2), 025605 (2022)
Harmandaris, V.A., Mavrantzas, V.G., Theodorou, D.N.: Atomistic molecular dynamics simulation of stress relaxation upon cessation of steady-state uniaxial elongational flow. Macromolecules 33(21), 8062–8076 (2000)
Kröger, M., Luap, C., Muller, R.: Polymer melts under uniaxial elongational flow: stress- optical behavior from experiments and nonequilibrium molecular dynamics computer simulations. Macromolecules 30(3), 526–539 (1997)
Murashima, T., Hagita, K., Kawakatsu, T.: Viscosity overshoot in biaxial elongational flow: coarse-grained molecular dynamics simulation of ring-linear polymer mixtures. Macromolecules 54(15), 7210–7225 (2021)
Kim, J.M., Locker, R., Rutledge, G.C.: Plastic deformation of semicrystalline polyethylene under extension, compression, and shear using molecular dynamics simulation. Macromolecules 47(7), 2515–2528 (2014)
Aoyagi, T., Doi, M.: Molecular dynamics simulation of entangled polymers in shear flow. Comput. Theor. Polym. Sci. 10(3–4), 317–321 (2000)
Parisi, D., Costanzo, S., Jeong, Y., Ahn, J., Chang, T., Vlassopoulos, D., Halverson, J.D., Kremer, K., Ge, T., Rubinstein, M., Grest, G.S., Srinin, W., Grosberg, A.Y.: Nonlinear shear rheology of entangled polymer rings. Macromolecules 54(6), 2811–2827 (2021)
Chen, J., Shi, J., Wang, Y., Sun, J., Han, J., Sun, K., Fang, L.: Nanoindentation and deformation behaviors of silicon covered with amorphous SiO2: a molecular dynamic study. RSC Adv. 8(23), 12597–12607 (2018)
Maurya, M.K., Ruscher, C., Mukherji, D., Singh, M.K.: Computational indentation in highly cross-linked polymer networks. Phys. Rev. E 106(1), 014501 (2022)
Plimpton, S.: Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117(1), 1–19 (1995)
Ge, T., Pierce, F., Perahia, D., Grest, G.S., Robbins, M.O.: Molecular dynamics simulations of polymer welding: strength from interfacial entanglements. Phys. Rev. Lett. 110(9), 098301 (2013)
Kremer, K., Grest, G.S.: Dynamics of entangled linear polymer melts: a molecular-dynamics simulation. J. Chem. Phys. 92(8), 5057–5086 (1990)
Mukherji, D., Singh, M.K.: Tuning thermal transport in highly cross-linked polymers by bond-induced void engineering. Phys. Rev. Mater. 5, 025602 (2021)
Mukherji, D., Abrams, C.F.: Mechanical behavior of highly cross-linked polymer networks and its links to microscopic structure. Phys. Rev. E 79(6), 061802 (2009)
Maurya, M.K., Wu, J., Singh, M.K., Mukherji, D.: Thermal conductivity of semicrystalline polymer networks: Crystallinity or cross-linking? ACS Macro Lett. 11(7), 925–929 (2022)
Falk, M.L., Langer, J.S.: Dynamics of viscoplastic deformation in amorphous solids. Phys. Rev. E 57(6), 7192 (1998)
Oliver, W.C., Pharr, G.M.: Measurement of hardness and elastic modulus by instrumented indentation: advances in understanding and refinements to methodology. J. Mater. Res. 19(1), 3–20 (2004)
Muthukumar, M., Bobji, M., Simha, K.: Cone cracks in tissue-mimicking hydrogels during hypodermic needle insertion: the role of water content. Soft Matter 18, 3521–3530 (2022)
Hoy, R.S., Robbins, M.O.: Strain hardening in polymer glasses: limitations of network models. Phys. Rev. Lett. 99(11), 117801 (2007)
Zhao, Y., Singh, M.K., Kremer, K., Cortes-Huerto, R., Mukherji, D.: Why do elastin-like polypeptides possibly have different solvation behaviors in water-ethanol and water-urea mixtures? Macromolecules 53(6), 2101–2110 (2020)
Acknowledgements
MKS thanks Science and Engineering Research Board (SERB), India, for the financial support provided under the Start-up Research Grant (SRG) scheme (grant number: SRG/2020/000938).
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Appendix A
Appendix A
1.1 A.1 Bond distribution
The network formation framework presented in Sect. 2.3 produces a reasonably uniform sample; see supplementary Fig. 9. The bond distribution is relatively homogeneous, except near the two interfaces, where the confinement walls induced depletion zone.
1.2 A.2 Effect of velocity
In order to investigate the effect of indentation velocity, we performed our simulations at \(v=0.005\sigma /\tau\) and \(v=0.05\sigma /\tau\), and the response is shown in Fig. 10. It can be depicted that the \(F-d\) response of \(v=0.05\sigma /\tau\) has an insignificant difference compared to \(v=0.005\sigma /\tau\) force response, see Fig. 10. At the same time lower indentation velocities needed high computational power. Therefore we have chosen \(v=0.05\sigma /\tau\) in our study.
1.3 A.3 Loading and unloading mechanics
In Fig. 7, loading and unloading mechanics have shown for a fraction of monomers \(x_{\textrm{f}}=0.5\) and \(x_{\textrm{f}}=0.25\). In this section, the mechanics of the fraction of monomers \(x_{\textrm{f}}=0.2\) and \(x_{\textrm{f}}=0.1\) are shown (Fig. 11).
1.4 A.4 Effect of indenter radius
In order to see the effect of the indenter radius on the \(F-d\) response, We have chosen two indenters of different sizes ((Fig. 12). The maximum force F for the indenter radius \(r_{\textrm{ind}}=10.0\sigma\) is approximately five times higher than the maximum force F of the indenter radius \(r_{\textrm{ind}}=5.0\sigma\), during the loading condition. A large force drops \(\Delta F\) observed at indentation depth \(d\approx 29\sigma\) is because large numbers of bonds are broken and are clearly seen in Fig. 6 .
1.5 A.5 Effect of fraction of monomers
The fraction of monomers \(x_{\textrm{f}}\) is the parameter from which we can construct a range of weakly cross-linked polymers (WCP). As the \(x_{\textrm{f}}\) increases the \(F_{\textrm{max}}\) increases, which means \(x_{\textrm{f}}\) is making stiff the sample, and it can be seen in Fig. 13.
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Maurya, M.K., Singh, M.K. Computational indentation in weakly cross-linked polymer networks. Int J Adv Eng Sci Appl Math 15, 196–206 (2023). https://doi.org/10.1007/s12572-023-00354-3
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DOI: https://doi.org/10.1007/s12572-023-00354-3