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Prediction and optimization of drilling parameters in drilling of aisi 304 and aisi 2205 steels with pvd monolayer and multilayer coated drills

  • Yassmin Seid Ahmed*
  • , Helmi Youssef
  • , Hassan El-Hofy
  • , Mahmoud Ahmed
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Due to their high ductility, high durability, and excellent corrosion resistance, stainless steels are attractive materials for a variety of applications. However, high work hardening, low thermal conductivity, and high built-up edge (BUE) formation make these materials difficult to machine. Rapid tool wear and high cutting forces are the common problems encountered while machining these materials. In the present work, the application of Taguchi optimization methodology has been used to optimize the cutting parameters of the drilling process for machining two stainless steels: austenitic AISI 304 and duplex AISI 2205 under dry conditions. The machining parameters which were chosen to be evaluated in this study are the tool material, cutting speed, and feed rate, while, the response factors to be measured are the tool life (T), cutting force (Fc ), and specific cutting energy (ks ). Additionally, empirical models were created for predicting the T, Fc and ks using linear regression analysis. The results of this study show that AISI 2205 stainless steel has a shorter tool life, a higher cutting force, and a higher specific cutting energy than AISI 304 stainless steel. In addition, the Taguchi method determined that A3B1C1 and A3 B3 C1 (A3 = TiN-coated twist drill, B1 = 13 m/min, B3 = 34 m/min, C1 = 0.12 mm/rev) are the optimized combination of levels for the best tool life and the lowest cutting force, respectively. Meanwhile, the optimized combination of levels for all three control factors from the analysis, which provides the lowest specific cutting energy, was found to be A3 B1 C3 (A3 = TiN-coated twist drill, B1 = 13 m/min, C3 = 0.32 mm/rev) for both stainless steels.

Original languageEnglish
Article number16
JournalJournal of Manufacturing and Materials Processing
Volume2
Issue number1
DOIs
StatePublished - 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • AISI 2205
  • AISI 304
  • Analysis of variance
  • Cutting force
  • Specific cutting energy
  • Taguchi method
  • Tool life

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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