Impact of Design Dimension Optimization on Capacitive Sensor Performance for Particulate Matter Detection and Measurement

Authors

  • Vaishali Kulkarni Research Scholar
  • Suvarna Chorage Bharati Vidyapeeth’s College of Engineering for Women, Pune

Keywords:

particulate matter, particulate sensor, IDE optimization, IDE sensitivity improvement, IDE capacitive sensing, carbon black detection, DPF monitoring

Abstract

Particulate matter (PM) emissions from exhaust gases are major pollutants and cause serious health problems. Diesel particulate filters (DPF) are used for monitoring and trapping particulates from exhaust gases. For sensing these particulates sensors are used downstream of a DPF. The present study proposes an interdigitated electrode (IDE) capacitive sensor for detecting and measuring deposited particulates on the sensor surface.  The sensor dimensions are optimized to detect and measure the least deposition of particulates. The paper presents improvement in sensor performance, a high selectivity of 65.70% with an accuracy of 87.26%. Dimension optimization extracts capacitance of 581 pF manifolds 10 times more than the reference sensor from the literature. The study presents a sensor with a thin sensing layer manufactured by optical lithography and a lift-off method for IDE. Measurements and testing showed that the sensor measures the lowest particulate mass of 0.0045 mg in 3.4 ms.

Author Biographies

Vaishali Kulkarni, Research Scholar

Vaishali S. Kulkarni

Research Scholar(AISSMSIOIT-SPPU-Pune-Maharashtra)

Department: Electronics and Telecommunication

Suvarna Chorage, Bharati Vidyapeeth’s College of Engineering for Women, Pune

Prof. Dr. Suvarna Sandip Chorage

Vice Principal, Department of Electronics and Telecommunication Engineering

Bharati Vidyapeeth’s College of Engineering for Women, SPPU-Pune

Dhankawadi, Pune Satara Road Pune-411043

 

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Published

2024-09-29