Prediction and geometric adaptive control of surface roughness in drilling process

Author:

Susai Mary,Sai Balaji,Dinakaran D.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

Mechanical Engineering,Mechanics of Materials

Reference23 articles.

1. HMT, Production Technology, Tata McGraw-Hill Publishing Co. Ltd., 1980;

2. Sanjay, Prithvi: Hybrid intelligence systems and artificial neural network (ANN) approach for modeling of surface roughness in drilling", Cogent Engineering, vol.1(1), 2014.;

3. Vishy Karri, Tossapol Kiatcharoenpol, Prediction of internal surface roughness in drilling using three feedforward neural networks - a comparison, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'OZ) , vol. 4,2003.;

4. C. Sanjay,C. Jyothi, A study of surface roughness in drilling using mathematical analysis and neural networks, International Journal of Advanced Manufacturing Technology, vol.29, pp. 846-852, 2006.;

5. D.Dinakaran, S.Sampathkumar, K.Madhivanan, An experimental investigation of surface roughness monitoring in surface grinding through ultrasonic technique, Mechatronics and Intelligent Manufacturing, vol.1, pp.107-118, 2012.;

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