Computational Fluid Dynamics at work - Design and Optimization of Microfluidic Applications

Ulrich Krühne, Vijaya Krishna Bodla, Jacob Møllenbach, Steen Laursen, Naseem Theilgaard, Leif H. Christensen, Krist Gernaey

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Computational Fluid Dynamics (CFD) is presented as a powerful tool to support design and optimization of microfluidic reactors. This is demonstrated by means of three case studies. First a three-dimensional scaffold for tissue engineering purposes is investigated using a combination of CFD and a simple biological model. The result is a suggestion of an improved geometry design. In the second case study a microfluidic cartridge of a novel automated in vitro fertilization device is presented, where the CFD model has supported the fluidic design of the microfluidic network in which the stem cells are grown. In the last case study a biocatalytic microfluidic reactor design is presented in which the material characteristics of substrates and products of the catalytic reaction can be investigated. As model system the transaminase catalyzed formation of methylbenzylamine (MBA) from acetophenone is investigated and it is demonstrated how the experimental investigation along with the CFD model can be used for the characterisation of the performance of the reactor system.
Original languageEnglish
Title of host publicationProceedings of the 11th International Symposium on Process Systems Engineering
EditorsI.A. Karimi, Rajagopalan Srinivasan
PublisherElsevier
Publication date2012
Pages835-839
DOIs
Publication statusPublished - 2012
Event11th International Symposium on Process Systems Engineering - , Singapore
Duration: 15 Jul 201219 Jul 2012

Conference

Conference11th International Symposium on Process Systems Engineering
Country/TerritorySingapore
Period15/07/201219/07/2012
SeriesComputer Aided Chemical Engineering
Volume31
ISSN1570-7946

Fingerprint

Dive into the research topics of 'Computational Fluid Dynamics at work - Design and Optimization of Microfluidic Applications'. Together they form a unique fingerprint.

Cite this