Optimization and Statistical Evaluation of Cutting Tools and Parameters in Milling Inconel 718 Superalloy

Çakmakoğlu O., Demirer A., Turgut Y.

INTERCIENCIA, cilt.49, sa.7, ss.2-21, 2024 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 49 Sayı: 7
  • Basım Tarihi: 2024
  • Doi Numarası: 10.59671/hsc6q
  • Dergi Adı: INTERCIENCIA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Veterinary Science Database, DIALNET
  • Sayfa Sayıları: ss.2-21
  • Gazi Üniversitesi Adresli: Evet

Özet

This study investigates the face milling of Inconel 718 superalloy using coated inserts via dry cutting. The experimental study aimed to examine the influence of machining factors on cutting force through tests and statistical analysis. Taguchi and Response Surface Methods were employed for statistical analysis. A Taguchi orthogonal experiment design consisting of 16 tests was utilized, with cutting tool, feed rate, and cutting speed as factors. Variance analysis was performed on the data. The analysis revealed that the most effective factor on GC2030's cutting forces was the cutting tool, accounting for 81.78% of the variance, followed by feed rate at 9.69%, and cutting speed at 4.76%. The validity of the regression equations obtained through the Response Surface Method was confirmed with an R² value of 99.64%. Integration of Taguchi and Response Surface Methods allowed for optimization, resulting in the lowest cutting force recorded at 232 N in the verification test. A comparison between experimental and prediction models demonstrated results with acceptable accuracy. Overall, the study provides valuable insights into the machining of Inconel 718 superalloy, with implications for optimizing cutting force in industrial applications.