Prediction of Corrosion Resistance and Component Life With and Without Protective Coatings

National Laboratory: 
Pacific Northwest National Laboratory
Characterization Class: 
Non-destructive examination
Computational Tools Class: 
Structure-Properties
Description: 

Pacific Northwest National Laboratory offers an integrated experimental/modeling capability that predicts oxide-scale (without coating) or subscale (with coating) growth, characterizes scale/coating interfacial strength, and predicts component life. The modeling framework has been developed for high-temperature oxidation and corrosion protection of ferritic stainless steel, and it can be used to examine the effects of various factors, including coating type, temperature, and environments, on component life.

Capability Bounds: 

The models currently do not consider galvanic corrosion. However, it can be enhanced to include galvanic corrosion by considering electrochemical reactions.

Unique Aspects: 

This is an integrated characterization and modeling capability uniquely offered by PNNL (currently not aware of similar capabilities within other national laboratories or universities).

Availability: 

Computational tools and characterization techniques are developed and published by PNNL. Models use nano-indentation capability and commercial finite element software.

Single Point of Contact: 

Name: Erin Barker
Email: erin.barker@pnnl.gov
Phone: 509-372-4727

References: 
  1. WN Liu, X Sun, EV Stephens and MA Khaleel. Effect of Substrate Thickness on Oxide Scale Spallation for Solid Oxide Fuel Cells, Corrosion Science, 53(2011) 2406-2412.
  2. X Sun, WN Liu, EV Stephens, MA Khaleel. Determination of interfacial adhesion strength between oxide scale and substrate for metallic SOFC interconnects, Journal of Power Sources 176 (2008) 167–174.
  3. WN Liu, X Sun, EV Stephens, and MA Khaleel. Life Prediction of Coated and Uncoated Metallic Interconnect for Solid Oxide Fuel Cell Applications. Journal of Power Sources 189 (2009) 1044–1050.
Supporting Document(s):