Multi objective optimization of rough pocket milling strategies during machining of lead-free brass alloys using Desirability function and Genetic algorithms-based analysis


Zoghipour N., Yaratan A. F. , KAYNAK Y.

14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020, Naples, İtalya, 15 - 17 Temmuz 2020, cilt.99, ss.145-150 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 99
  • Doi Numarası: 10.1016/j.procir.2021.03.022
  • Basıldığı Şehir: Naples
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.145-150

Özet

© 2021 The Authors. Published by Elsevier B.V.The performance of a machining process is determined by various parameters specially the direction of tool movements during cutting. In this paper, various cutting responses such as machining time (tm), cutting forces (Fr), metal removal rate (MRR), and dimensional accuracy (DA) during the rough pocket milling of the lead-free brass alloys with various toolpath strategies has been studied. The optimization is performed by using the desirability function (DF) and Genetic algorithms-based analysis (GA). The optimization has yielded to minimum production time, cutting forces, dimensional accuracy error and maximum material removal rate considering technological and industrial constrains.