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Experimental and numerical identification of process parameters of grind-hardening and resulting part distortions.

Michael F. ZähEkkard BrinksmeierCarsten HeinzelJens-Walter HuntemannTobias Föckerer
Published in: Prod. Eng. (2009)
Keyphrases
  • real world
  • parameter values
  • temperature field
  • neural network
  • sensitivity analysis
  • artificial neural networks
  • maximum likelihood
  • process model
  • experimental data