Corpus ID: 56356622

Cutting parameters identification using multi adaptive network based Fuzzy inference system: An artificial intelligence approach

@inproceedings{Suhail2011CuttingPI,
  title={Cutting parameters identification using multi adaptive network based Fuzzy inference system: An artificial intelligence approach},
  author={Adeel H. Suhail and N. Ismail and S. V. Wong and N. Abdul and Jalil},
  year={2011}
}
The influences of the machine parameters on machined parts are not always precisely known and hence, it becomes difficult to recommend the optimum machinability data for machine process. This paper proposes a method for cutting parameters identification using Multi adaptive Network based Fuzzy Inference System (MANFIS). Three Adaptive Network based Fuzzy Inference System (ANFIS) models were used in the first step to identify the initial values for the cutting parameters (cutting speed, feed… Expand

Figures and Tables from this paper

PREDICTION OF MACHINING OPERATIONS AND SURFACE ROUGHNESS USING ARTIFICIAL NEURAL NETWORK
MANFIS-based overtaking maneuver modeling and prediction of a Driver-Vehicle-Unit in real traffic flow

References

SHOWING 1-10 OF 14 REFERENCES
ANFIS: adaptive-network-based fuzzy inference system
  • J. Jang
  • Computer Science
  • IEEE Trans. Syst. Man Cybern.
  • 1993
Modeling the surface roughness and cutting force for turning
...
1
2
...