GENETIC ALGORITHM-BASED OPTIMIZATION FOR SURFACE ROUGHNESS IN CYLINDRICALLY GRINDING PROCESS USING HELICALLY GROOVED WHEELS

Caydas U., Celik M.

SURFACE REVIEW AND LETTERS, cilt.24, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1142/s0218625x18500312
  • Dergi Adı: SURFACE REVIEW AND LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Grinding, surface, roughness, optimization, machining, MACHINING PARAMETERS, EDM PROCESS, METHODOLOGY, DESIGN, LAYER
  • Erciyes Üniversitesi Adresli: Hayır

Özet

The present work is focused on the optimization of process parameters in cylindrical surface grinding of AISI 1050 steel with grooved wheels. Response surface methodology (RSM) and genetic algorithm (GA) techniques were merged to optimize the input variable parameters of grinding. The revolution speed of workpiece, depth of cut and number of grooves on the wheel were changed to explore their experimental effects on the surface roughness of machined bars. The mathematical models were established between the input parameters and response by using RSM. Then, the developed RSM model was used as objective functions on GA to optimize the process parameters.