Image data processing via neural networks for tool wear prediction

Procedia CIRP

Volumn 12, Issue , 2013, Pages 252-257

  D'Addona, D M ^a   Teti, R ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Cutting tool wear; Image processing; Neural networks

Indexed keywords

CUTTING; DATA HANDLING; DEEP NEURAL NETWORKS; IMAGE PROCESSING; MACHINING; MACHINING CENTERS; MANUFACTURE; NEURAL NETWORKS; OPTICAL DATA PROCESSING; WEAR OF MATERIALS;

COMPLEX PROBLEMS; CUTTING CONDITIONS; IMAGE DATA PROCESSING; MACHINING EFFICIENCY; MACHINING OPERATIONS; MACHINING PROCESS; QUALITY OF PRODUCT; WORKING PROCEDURE;

CUTTING TOOLS;

EID: 84886799092     PISSN: None     EISSN: 22128271     Source Type: Conference Proceeding    
DOI: 10.1016/j.procir.2013.09.044     Document Type: Conference Paper

References (9)

1. Byrne, G., Dornfeld, D., Inasaki, I., Ketteler, G., Koenig, W., Teti, R., 1995. Tool Condition Monitoring. (TCM) - The Status of Research and Industrial Application, Annals of the CIRP, vol. 442, 1995, p. 541.
2. Teti, R., 1993. Sensor Signal Frequency Analysis for Metal Cutting Process Monitoring, 1st AITEM Conf., Ancona, Italy, 22- 24 Sept., 1993, p. 55.
3. D'Addona, D., Teti, R., 2010. Monitoring of Cutting Tool Wear through Images Analysis, 6th IPROMS Virtual Conference, 15-26 Nov.
4. Fahlman, S.E. and Lebiere, C., 1990, An Empirical Study of Learning Speed in Back Propagation Networks, CMU Technical Report, CMU-CS-88-162.
5. Teshima, T., Shibasaka, T., Takuma, M., Yamamoto, A., 1993. Estimantion of Cutting Tool Life by Processing Tool Image Data with Neural Network, Annals of the CIRP, 42(1), p. 59.
6. D'Addona, D., Segreto, T., Simeone, A., Teti, R., 2011. ANN tool wear modelling in the machining of nickel superalloy industrial products, CIRP Journal of Manufacturing Science and Technology, 4 (1), p. 33.
7. Leone, C., D'Addona, D.M., Teti, R., 2011, Tool wear modelling through regression analysis and intelligent methods for nickel base alloy machining, CIRP Journal of Manufacturing Science and Technology, 4 (3), p. 327.
8. Hertz, J., Krogh, A., Palmer, R.G., 1991, Introduction to the Theory of Neural Computation, Addison-Wesley, New York, NY.
9. Masters, T., 1993, Practical Neural Network Recipes in C++, Academic Press, San Diego.