Novel testing methods to predict microbially induced corrosion
Novel testing methods to predict microbially induced corrosion
Funding Agency
Apply through Halo
Funding Type
Faculty
Postdocs
Graduate Students
Deadline
Saturday, November 30, 2024
We are looking for test methods that simulate long-term microbial exposure and its impact on both coatings and substrates, to better predict the performance of protective coatings and their ability to resist microbially induced corrosion and/or biodeterioration over extended periods.
We are interested in developing a standard method that goes beyond existing tests by addressing the full complexity of microbially induced corrosion (MIC), biodeterioration and environmental factors in a more integrated way. The goal is to use this test to drive continuous improvements in coating development as more performance data is gathered.
Solutions of interest:
- Multi-parameter test chambers that simulate both microbial and environmental conditions, including temperature, pressure, moisture, and salinity, to predict long-term coating performance while distinguishing between microbial-induced and abiotic corrosion.
- Biofilm and material deterioration hybrid assays that measure not only biofilm growth but also its direct impact on material deterioration, linking microbial activity to corrosion under field-like conditions.
- Accelerated corrosion tests that adapt current state-of-the-art accelerated corrosion cabinet standards to include controlled microbial exposure, ensuring that both microbial activity and environmental stress factors are taken into account.
- A new standard testing method that simulates microbially induced corrosion and environmental degradation separately, allowing for isolated and combined analysis of microbial and abiotic factors influencing coating performance.
- Corrosion simulation models developed using historical corrosion data and comprehensive field monitoring from industries such as infrastructure and oil & gas, enabling accurate long-term performance prediction (if such data is available from external sources).
Our must-have requirements are:
- Replicates varied environmental conditions in a controlled lab setting.
- Simulates multi-species microbial exposure, accounting for microorganisms commonly found in target environments.
- Provides quantifiable data on both microbial activity and material deterioration, to assess corrosion rates and microbial resistance of coatings.
Our nice-to-have's are:
- Replicates long-term exposure in an accelerated time frame for faster results.
- Differentiates between MIC/biodeterioration and other forms of deterioration caused by abiotic factors (e.g. erosion, uniform corrosion, galvanic corrosion, etc.).
- Supports post-failure analysis by providing insights into potential corrosion mechanisms based on simulated lab results.
- Integration with predictive modeling tools for future performance forecasting.
- Standard test organisms known to reliably provide MIC/biodeterioration of control materials and coatings.
What's out of scope:
- Technologies for corrosion detection and monitoring, such as probes, sensors, or gauges.
- Solutions focused on developing or improving protective coatings.
- Methods focused solely on detecting the presence or quantity of microbes in a sample.
- Approaches aimed at predicting microbial degradation in wood materials.