This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Application of Artificial Neural Networks (ANN) as Predictive Tools for Corrosion in Painted Automotive Substrates
Annotation ability available
Sector:
Language:
English
Abstract
Cosmetic corrosion of painted automotive substrates is a complex phenomenon being a function of number of environmental variables and material properties. To address the need for reliable accelerated corrosion tests, a high performance corrosion chamber was built by VOLVO car corporation, Gothenberg, Sweden. Using a statistically designed program of experiments, excellent correlation between outdoor and laboratory simulations have been established using the VOLVO technique. Traditional methods for corrosion data analysis has been based on the use of well known statistical methods. In this paper, we have introduced Artificial Neural Networks (ANN) to study and establish complex relations between scribe creep data and the variables that govern cosmetic corrosion performance. Application of the ANN methodology as a predictive tool has been discussed.
Citation
Ramamurthy, A. and Macdonald, M., "Application of Artificial Neural Networks (ANN) as Predictive Tools for Corrosion in Painted Automotive Substrates," SAE Technical Paper 932337, 1993, https://doi.org/10.4271/932337.Also In
References
- Dickie R. A. J. Coat Tech. 64 1992 61
- Townsend H. E. McCune D. C. Neville R. J. Granata R. D. Schumacher W. A. SAE Technical Paper, # 912275 Dearborn, MI
- Davidson D. D. Schumacher W. A. SAE Technical Paper, # 912284 Dearborn, MI
- Strom M. Strom G. van Ooij W. J. Sabata A. Edwards R. A. Ramamurthy A. C. SAE Technical Paper, # 912282 Dearborn, MI
- Strom M. Strom G. van Ooij W. J. Sabata A. Ramamurthy A. C. 12th International Corrosion Congress (NACE) September 1994 Houston, TX
- Diaz C. Macdonald Mirna Macdonald D. D. Ramamaurthy A. C. van Ooij W. J. Sabata A. Strom M. Strom G. 12th International Corrosion Congress (NACE) September 1994 Houston, TX
- Strom M. Strom G. SAE Technical paper, # 932338 Dearborn, MI
- Hinton G. E. Scientific American September 1992 145
- Caudill M. Butler C. Naturally Intelligent Systems MIT Press MA 1991
- Dayhoff J. Neural Network Architectures Van Nostrand Reinhold NY 1990
- Khanna T. Foundations of Neural Networs Addison-Wesley NY 1990
- Caudill M. AI Expert December 1989 April 1990 June 1990 July 1990 September 1990
- Gill T. Shutt J. Scientific Computing and Automation September 1992 19
- Gill T. Scientific Computing and Automation January 1993 4
- Joseph B. Computers in Chem. Engng. 16 1992
- White H. AI Expert December 1989 48
- Ramamurthy A. C. Macdonald Mirna Unpublished results 1993
- Ferris Richard University of Massachusets Amherst, MA Personal Communication August 1993