Surface finish monitoring in taper turning CNC using artificial neural network and multiple regression methods

Procedia Engineering

Volumn 63, Issue , 2013, Pages 599-607

  Garcia Plaza E ^a   Nunez P J ^a   Salgado, D R ^b   Cambero, I ^b   Herrera Olivenza, J M ^b   Garcia Sanz Calcedo J ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Artificial neural networks; Monitoring; Regression model; Surface finish; Turning CNC

Indexed keywords

EID: 84891681180     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2013.08.245     Document Type: Conference Paper

References (10)

1. Asiltürk, I., Çunkas, M., 2011, Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method, Expert Systems with Applications 38 5826-5832.
2. García-Plaza, E., Núñez, P.J., Martin, A.R., Trujillo, R., Cruz, C., 2009 Design of an on-Line diagnostic system of finished surfaces in an automated mechanized process by CNC turning, Proceedings of American Institute of Physics 118, 141-150.
3. García-Plaza, E., Núñez, P.J., Mata, F., Sanz, A., 2012, Machining Control of Surface Roughness by Measuring Cutting Forces, Advanced Materials Research 498, 157-162.
4. Hessainia, Z., et all., 2013, On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations, Measurement 46, 1671-1681.
5. Karayel, D., 2009 Prediction and control of surface roughness in CNC lathe using artificial neural network, Journal of Materials Processing Technology 209 3125-3137.
6. Liang, S.Y., Hecker, R.L., Landers, R.G., 2004 Machining Process Monitoring and Control: The State-of-the-Art, Transactions of the ASME 126 (2004) 297-310.
7. Segreto, T., Simeone, A., Teti, R., 2012, Sensor Fusion for Tool State Classification in Nickel Superalloy High Performance Cutting, Procedia CIRP 1, 593-598.
8. Shi, D., Gindy, N.N., 2007, Development of an online machining process monitoring system: Application in hard turning, Sensors and Actuators A 135, 405-414.
9. Teti, R., Jemielniak, k., O'Donnell, G., Dornfeld, D., 2010, Advanced monitoring of machining operations, CIRP Annals - Manufacturing Technology 59, 717-739.
10. Upadhyay, V., Jain, P.K., MehtaIn, N.K., 2013, Process prediction of surface roughness in turning of Ti-6Al-4V alloy using cutting parameters and vibration signals, Measurement 46, 154-160.