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Updated: Jun 18, 2026

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

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Published on: December 27, 2017

A novel capacitance sensor for fireside corrosion measurement.

Heng Ban¹, Zuoping Li

¹Department of Mechanical and Aerospace Engineering, Utah State University, 4130 Old Main Hill, Logan, Utah 84341, USA.

The Review of Scientific Instruments

|December 2, 2009

Summary

This study introduces a novel electrical capacitance sensor for online monitoring of fireside corrosion in power plants. The sensor accurately measures metal loss, enabling timely mitigation of boiler tube failures.

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Area of Science:

Materials Science
Corrosion Engineering
Sensor Technology

Background:

Fireside corrosion is a primary cause of boiler tube failures in coal-fired power plants.
Online monitoring systems are crucial for timely mitigation of corrosion and preventing failures.

Purpose of the Study:

To present a novel sensor concept for measuring metal loss using electrical capacitance.
To demonstrate the feasibility of the sensor's design, fabrication, and operation for online monitoring.

Main Methods:

Fabrication of a prototype sensor using sputtering deposition of a thin metal coating on a ceramic substrate.
Laboratory-scale experiments in a muffle furnace with an oxidation environment to simulate fireside conditions.
Measurement of electrical capacitance changes correlating to metal loss and analysis of corrosion rates at varying temperatures.

Main Results:

The sensor demonstrated a proportional decrease in capacitance with metal loss.
Low carbon steel coatings survived cyclic temperatures exceeding 500°C.
Corrosion rates showed an Arrhenius dependence, ranging from 2.0 nm/h at 200°C to 2.0 µm/h at 400°C, with measurement uncertainty within 4%.

Conclusions:

The developed sensor concept and measurement system are capable of short-term, online monitoring of metal loss.
The sensor shows significant potential for effective fireside corrosion monitoring in power plants and other metal loss applications.