BEASY attended the recent NACE Corrosion Conference in Orlando where we made contributions to the conference program, technical meetings and exhibition hall, showing our corrosion modelling services and software.
We highlight two presentations on the benefits of modelling for corrosion control in structures and ballast tanks.
Modelling Galvanic Corrosion In Multi-Material Aircraft Structures
To satisfy the continuing demand for higher fuel-efficiency and to improve the lifetime and overall performance of structures an increasing number of complex combinations involving lightweight materials such as aluminum, magnesium, titanium and CFRP are being developed and employed by industry. However, the combination of multiple materials in the presence of an electrolyte can lead to galvanic corrosion and other forms of corrosion, thus reducing the benefits of the design if no adequate corrosion control measurements are taken into account.
A computational modelling tool has been developed to predict galvanic corrosion for multi-material structures exposed to NaCl electrolytes typically found in aircraft environments. The presentation describes tests performed to validate the model, and two case studies where the model has been used to identify corrosion hot spots in the aircraft structure and optimise the protection system.
The Application Of Computer Modelling To Improve The Integrity Of Ballast Tanks
Ballast tanks filled with seawater often experience problems with age-related coating degradation and incipient failure and consequently ballast tank corrosion is the third leading corrosion cost driver for Navy ships. It is estimated, for example, that the US Navy spends approximately $230 M annually in corrosion maintenance for ballast tanks.
In this presentation a case study is described where computer modelling is used to verify and optimise the design of the corrosion control system for a ballast tank and predict how it will perform over the service life of the tank.
Some recent research is also presented showing how modelling can be used to interpret data from the CP system to predict the condition within the tank.