Nace Corrosion 2020
BEASY will be active in both the conference and exhibit hall presenting our corrosion modelling services and software.
We welcome you to come and visit our booth (#823) to find out more about the capabilities of BEASY simulation products, and how BEASY modelling services can provide the solutions you need.
Papers To Be Presented At NACE
Corrosion Data Management Using 3D Visualisation and a Digital Twin
By Robert Adey, Cristina Peratta, John Baynham, Tim Froome
Find out more about how 3D Corrosion Data Management combined with Digital Twin simulations can provide the data engineers need to exploit CP survey measurements and make better informed asset management decisions.
Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction
By Thomas Curtin, Robert Adey, Andres Peratta, John Baynham
Discover how the output from a galvanic simulation model is used to determine the spatial distribution of corrosion damage; providing a guide for the location of discrete corrosion damage features that are analysed using stress fields from structural models and crack growth simulations.
Can Anodes Interfere When They Are Mounte On Electrically Separate Structures?
By John Baynham and Tim Froome
Review how CP simulation can be used to investigate the likelihood of interference between multiple electrically isolated structures. Trends towards denser ‘packaging’ of structures, and additional complicating factors such as requirements for protective covers mean that the risk of such interference effects needs to be considered, in order to avoid possible damage.
See How Engineers are Reducing The Risk Of Corrosion In Aircraft Structures Using Computer Simulation
See how the new BEASY Corrosion Manager Software can be used by engineers to evaluate the risk of corrosion in structures (such as aircraft) that are subject to demanding environments. Learn how a novel modeling approach is being used to improve decision making regarding durability and operational availability of assets.