Issue 19, 2019

FlowSculpt: software for efficient design of inertial flow sculpting devices

Abstract

Flow sculpting is a powerful method for passive flow control that uses a sequence of bluff-body structures to engineer the structure of inertially flowing microfluidic streams. A variety of cross-sectional flow shapes can be created through this method, offering a new platform for flow manipulation or material fabrication useful in bioengineering, manufacturing, and chemistry applications. However, the inverse problem in flow sculpting – designing a device that produces a target fluid flow shape – remains challenging due to the complex, diverse, and enormous design space. Solutions to the inverse problem have been constrained to single-material fluid streams that are shaped into top–bottom symmetric shapes due to the bluff-body structures available in current libraries (pillars) that span the height of the channel. In this work, we introduce multi-material design and symmetry-breaking flow deformations enabled by half-height pillars, presented within an extremely fast simulation method for flow sculpting yielding a 34-fold reduction in runtime. The framework is deployed freely as a cross-platform application called “FlowSculpt”. We detail its implementation and usage, and discuss the addition of enhanced search operations, which enable users to more easily design flow shapes that replicate their input drawings. With FlowSculpt, the microfluidics community can now quickly design flow shaping microfluidic devices on modest hardware, and easily integrate these complex physics into their research toolkit.

Graphical abstract: FlowSculpt: software for efficient design of inertial flow sculpting devices

Supplementary files

Article information

Article type
Paper
Submitted
08 Jul 2019
Accepted
26 Aug 2019
First published
28 Aug 2019
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2019,19, 3277-3291

FlowSculpt: software for efficient design of inertial flow sculpting devices

D. Stoecklein, M. Davies, J. M. de Rutte, C. Wu, D. Di Carlo and B. Ganapathysubramanian, Lab Chip, 2019, 19, 3277 DOI: 10.1039/C9LC00658C

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements