Case study: Thermal conductivity

posted in: Case study | 0

There are many reasons why it is important to identify the liquid in a microfluidic system. In this thermal conductivity case study, we take a closer look at one option to solve this challenge.

Membrane-based micropumps like the mp6 micropump can be controlled by the frequency (how often per second the membrane is actuated) and the driving voltage of the actuating elements (controlling the stroke of the membrane). Both parameters need to be adjusted to match the viscosity of the liquid and the desired flow rate. Especially applications in which different liquids are handled by the same pump profit from automating this manual step.

For that purpose, this Case Study is demonstrating that our mp6 micropump in conjunction with Sensirion’s SLF3C-1300F sensor can recognize the liquid. This creates the possibility to automatize the pump-parameter-adjustment.

Check out the full case study: Optimized liquid pumping by pump-parameter matching (sensor-enabled media recognition)

You are currently viewing a placeholder content from Youtube. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.

More Information

The thermal conductivity case study takes a deep dive into this topic. If you are more interested in a condensed version, check out our video.

We have a number of different applications for microfluidics featured on our YouTube channel. Make sure to check it out!

Continue reading about thermal conductivity on our thermal conductivity page on our website. Also, make sure to check out the components needed to build your own system: the mp6 micropump, mp-Multiboard2 and the fluidic sensor.