Artificial neural networks (ANNs) models were developed for the analysis and prediction of the relationship between the cutting conditions and the corresponding fractal parameters of machined surfaces in face milling operation. These models can help manufacturers to determine the appropriate cutting
The use of neural networks for the prediction of wear loss and surface roughness of AA 6351 aluminium alloy
✍ Scribed by Hülya Kaçar Durmuş; Erdoğan Özkaya; Cevdet Meri·ç
- Publisher
- Elsevier Science
- Year
- 2006
- Weight
- 365 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0261-3069
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✦ Synopsis
Artificial neural networks (ANNs) are a new type of information processing system based on modeling the neural system of human brain. Effects of ageing conditions at various temperatures, load, sliding speed, abrasive grit diameter in 6351 aluminum alloy have been investigated by using artificial neural networks. The experimental results were trained in an ANNs program and the results were compared with experimental values. It is observed that the experimental results coincided with ANNs results.
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