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Droplet-train induced spatiotemporal swelling regimes in elastomers
Akshay Phadnis1, Kenneth C Manning, Ian Sanders
1School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA. konradr@asu.edu.
This study analyzes elastomer swelling from solvent droplets, revealing distinct swelling patterns based on droplet impact timing and material dimensions. Geometric scaling dictates localized swelling shapes like mushrooms and mesas.
Area of Science:
- Polymer Science
- Materials Science
- Fluid Dynamics
Background:
- Understanding elastomer swelling is crucial for applications involving solvent exposure.
- Droplet impingement dynamics can significantly influence material response.
- Previous studies often focused on single droplet impacts or bulk swelling.
Purpose of the Study:
- To investigate the complex swelling dynamics of elastomers subjected to a train of solvent droplets.
- To establish the relationship between time scales, geometric parameters, and observed swelling behaviors.
- To develop and validate a numerical model for predicting localized elastomer swelling.
Main Methods:
- Combined experimental and numerical analysis.
- Time scale analysis to define spatiotemporal regimes.
- Finite element modeling of local swelling.
- Experimental validation using controlled droplet train impingement.
Main Results:
- Identified six cases of localized swelling based on relative timescales and geometric scaling.
- Observed distinct swelling shapes (mushroom, mesa, cap) dependent on lateral dimensions.
- Demonstrated that swelling extent increases with elastomer thickness.
- Showcased temporary geometric features when absorption and droplet train periods are comparable.
Conclusions:
- Elastomer swelling dynamics are highly sensitive to the interplay of solvent absorption and droplet impact frequency.
- Geometric scaling of the elastomer sample (thickness and lateral dimensions) is a key factor in determining localized swelling morphology.
- The developed finite element model accurately predicts observed swelling behaviors and can be used for further exploration.
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