Prediction of Surface Roughness of a Nimonic C-238 by Using the ANN Technique
Author:
Affiliation:
1. New Horizon College of Engineering,Department of Mechanical Engineering,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275782/10275807/10276359.pdf?arnumber=10276359
Reference15 articles.
1. A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263
2. Surface Roughness Prediction Using Ann And Rsm;boukezzi;A Comparative 5 Th International Conference On Advances In Mechanical Engineering Istanbul 2019,0
3. Multi-objective optimization of cutting parameters in turning using grey relational analysis
4. Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials
5. Tool Wear Monitoring By Image Processing;vignesh;International Journal of Research in Engineering and Tecnology,2013
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