Characteristics of vision-based on-chip pressure sensor with different concentrations of sensing fluid

Frederike Hesse, Chia-Hung Tsai, Makoto Kaneko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A microfluidic, vision-based pressure sensor is tested with three different concentrations of coloured solution, which serves as sensing fluid for the sensor. The sensor is based on the deformation of the a polymeric chamber, which causes the sensing fluid to flow in or out of the sensing area, resulting in a change of colour intensity. That change is recorded by a digital camera and the average darkness of the sensing area is calculated from each frame. Pressure and darkness value are highly correlated, with an absolute correlation of 0.9293 or higher. Thus, for each colour concentration a linear transfer function is determined. The different concentrations greatly differ by the correlation factor, which is defined as the slope on its darkness-pressure plot. The 30% solution's correlation factor is about 3 times lower than the 5% solution's factor, resulting in a 3 times finer resolution of 2.2 kPa on average.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages517-522
Number of pages6
ISBN (Electronic)9781479970964
DOIs
StatePublished - 2 Sep 2015
Event12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 - Beijing, China
Duration: 2 Aug 20155 Aug 2015

Publication series

Name2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015

Conference

Conference12th IEEE International Conference on Mechatronics and Automation, ICMA 2015
Country/TerritoryChina
CityBeijing
Period2/08/155/08/15

Keywords

  • microfluidic application
  • on-chip pressure sensor
  • vision-based sensor

Fingerprint

Dive into the research topics of 'Characteristics of vision-based on-chip pressure sensor with different concentrations of sensing fluid'. Together they form a unique fingerprint.

Cite this