Analysis of Surface Roughness and Cutting Forces in Hard Turning of 42CrMo4 Steel using Taguchi and RSM Method

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ÖZDEMİR M., KAYA M., AKYILDIZ H. K.

MECHANIKA, cilt.26, sa.3, ss.231-241, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.5755/j01.mech.26.3.23600
  • Dergi Adı: MECHANIKA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Central & Eastern European Academic Source (CEEAS), Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.231-241
  • Anahtar Kelimeler: machining, taguchi method, analysis of variance, cutting parameters, PARAMETERS, PREDICTION, OPTIMIZATION, TOOL, STRESSES, ALLOY
  • Yozgat Bozok Üniversitesi Adresli: Evet

Özet

In this study, cutting speed V, feed rate f, depth of cut a and tool radius R of surface roughness R of hardened 42CrMo4 (52 HRC) material with ceramic insert having different Ra, Rz and Rt) and cutting forces (Radial force Fx effect) tangential force Fy and feed force Fz were investigated experimentally. For the experimental design, Taguchi's mixed-level parameter design (L18) was used (2x1.3x3). Signal-to-noise ratio S/N was used to evaluate the test results. Using the Taguchi method, cutting parameters and cutting forces giving optimum surface roughness were determined. Regression analysis is applied to predict surface roughness and cutting forces. ANOVA was used to determine the effects of machining parameters on surface roughness and cutting forces. According to ANOVA analysis, the most important cutting parameters were found to be the cutting depth between feed rate and cutting forces for surface roughness. Verification experiments were performed and it was observed that optimization was applied successfully.