Neural networks in studies on oxidation behavior of laser surface engineered composite boride coatings
✍ Scribed by Anuradha Godavarty; Arvind Agarwal; Narendra B Dahotre
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 174 KB
- Volume
- 161
- Category
- Article
- ISSN
- 0169-4332
No coin nor oath required. For personal study only.
✦ Synopsis
Neural computing has been used to determine the kinetics and mechanism of oxidation of composite titanium diboride Ž . TiB coating. The use of neural network software reduces the required extensive experimental study by learning the trend 2 Ž . of the mass gain curves and predicting the effect of variables temperature and time within its region of learning. The ''Professional IIrPLUS version 5.23'' neural networks software was trained from the initial experimental results obtained Ž . from thermogravimetric analysis TGA . The oxidation rate was found to be parabolic. There was no change in the oxidation mechanism of TiB coating in the temperature range of 6008C to 10008C in comparison to earlier minimal experimental 2 study. The activation energy for oxidation of composite TiB coating was 210 kJrmol. Application of neural networks in 2 Ž these oxidation studies can further be expanded to study the effect of other parameters such as the gaseous environment air . or pure oxygen and their flow rates.