Coating Quality Measurement
Enabling data-driven maintenance decisions and planning
Page last modified
Friday, February 12, 2021 - 13:00
Corrosion is hard to predict. Failure to detect corrosion in time results in expensive repairs and increased downtime. CQM measures and detects corrosion in an early stage. The measurements enable predictive maintenance, triggering significant cost reduction compared to traditional maintenance planning.
Coating Quality Measurement (CQM) is a further developed version of Electrochemical Impedance Spectroscopy. While EIS can only perform a maximum of two measurements a day, CQM can perform hundreds. As a result, outliers are easily detected, and the reliability of test results is increased.
Pro/con
Provides insight into coating degradation over time
Warns for presence of corrosion underneath coating layers
Prognoses when corrosion starts
Gives insight into prognoses of % visible corrosion over time
Provides insight into how good the (visually intact) coating really protects
CQM Measurements require 2 visits to the assets, one for conditioning and one for the actual measurement
Specification
Condition Based Maintenance
Predict coating failure to plan maintenance. | Maintaining assets prevents failure and downtime by repairing corroded areas before the structural integrity is at risk.
Asset Life Extension
Maintenance optimisation by predictive maintenance, corrosion prevented.
Safety
Increased safety by better maintenance. | Leakage is prevented by predictive maintenance.
Cost
Predictive maintenance saves up to 40% of maintenance costs.
Data Analysis
Develop a numerical model to predict the lifetime of the measured asset.
Lifetime Prognoses
C-Cube specialises in lifetime prognoses of ceramic, metallic- and organic coatings.
Relative Business Impact
Technology Readiness Level
[9/9]
Development
Technology demonstration
Mature / Proven
Technology deployed by:
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