This innovative method uses a specially designed chamber to simulate environmental and microbial conditions for evaluating coating corrosion. It integrates machine learning to predict corrosion behavior, benefitting infrastructure projects with accurate testing.
The University of Wollongong presents a pioneering method for predicting microbially induced corrosion in coatings. This solution involves a specialized corrosion chamber that simulates various environmental and microbial conditions, enabling precise evaluation of coating performance. By utilizing comprehensive monitoring methods and training machine learning models, this approach predicts corrosion behavior under diverse conditions. The methodology is built on validated techniques previously applied in major infrastructure projects, ensuring reliability and accuracy.
This method is at TRL 6, indicating a technology demonstrated in a relevant environment. Phase I includes the design and commissioning of the biocorrosion chamber, while Phase II involves demonstrating its effectiveness with actual coating samples.
The University of Wollongong is a comprehensive public research university in coastal New South Wales with a global outlook and strong applied orientation. Industry engages through the Innovation Campus, a research and technology park that co-locates corporate R&D with university labs, prototyping suites, and pilot-scale facilities. A regional health partnership enables clinical translation and access to patient cohorts, while an on-site incubator and accelerator connects companies with researchers and supports venture creation. Research is backed by competitive national funding, including the Australian Research Council and National Health and Medical Research Council, alongside state and industry support. A dedicated technology transfer office manages IP, licensing, and collaboration agreements with streamlined processes.