Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
- PMID: 28710359
- PMCID: PMC5511244
- DOI: 10.1038/s41598-017-05237-9
Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
Abstract
This paper describes the computationally informed design and experimental validation of a microfluidic chip device with multi-axial stretching capabilities. The device, based on PDMS soft-lithography, consisted of a thin porous membrane, mounted between two fluidic compartments, and tensioned via a set of vacuum-driven actuators. A finite element analysis solver implementing a set of different nonlinear elastic and hyperelastic material models was used to drive the design and optimization of chip geometry and to investigate the resulting deformation patterns under multi-axial loading. Computational results were cross-validated by experimental testing of prototypal devices featuring the in silico optimized geometry. The proposed methodology represents a suite of computationally handy simulation tools that might find application in the design and in silico mechanical characterization of a wide range of stretchable microfluidic devices.
Conflict of interest statement
The authors declare that they have no competing interests.
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