TSK-type FLC using a combined LR and GA: Surface roughness prediction in ultraprecision turning

  title={TSK-type FLC using a combined LR and GA: Surface roughness prediction in ultraprecision turning},
  author={A. Nandi},
  journal={Journal of Materials Processing Technology},
  • A. Nandi
  • Published 2006
  • Mathematics
  • Journal of Materials Processing Technology
  • Abstract Due to non-linearity of the cutting parameters, tool–work combination and rigidity of machine tool, it has been proved that a fuzzy logic concept gives a better way to model a complex manufacturing process, such as grinding, ultraprecision turning, etc. In this paper, an Takagi–Sugeno–Kang (TSK)-type fuzzy logic controller (FLC) is designed to model the input–output relationship of ultraprecision turning. The performance of an FLC primarily depends on its knowledge base, which consists… CONTINUE READING
    17 Citations
    Determination of machining parameters in HSM through TSK-FLC
    • 3
    Prediction of cutting force in turning process: An experimental and fuzzy approach
    • 7
    TSK fuzzy modeling for tool wear condition in turning processes: An experimental study
    • 39
    • PDF
    Design of fuzzy expert system for predicting of surface roughness in high-pressure jet assisted turning using bioinspired algorithms
    • 11
    GA-fuzzy based estimation of equivalent hardness of particle reinforced flexible mould material composites
    • A. Nandi
    • Materials Science, Computer Science
    • J. Intell. Fuzzy Syst.
    • 2014


    Modeling the surface roughness and cutting force for turning
    • 193