Machinability of the AISI M2 High-Speed Steel using CBN Insert

Rafighi M., ÖZENÇ O., Kaya M. T., ÖZDEMİR M., AKYILDIZ H. K.

JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, cilt.42, sa.4, ss.403-412, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 42 Sayı: 4
  • Basım Tarihi: 2021
  • Dergi Adı: JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.403-412
  • Anahtar Kelimeler: AISI M2 high-speed steel, Material processing, Surface roughness, Cutting force components, SURFACE-ROUGHNESS, CUTTING FORCES, TOOL WEAR, STATISTICAL-ANALYSIS, PREDICTION MODEL, COATED CARBIDE, CERAMIC TOOLS, PARAMETERS, OPTIMIZATION, HARDNESS
  • Yozgat Bozok Üniversitesi Adresli: Evet

Özet

In this experimental study, the impact of machining parameters on surface roughness and cutting force components was investigated. The finish hard turning was carried out on the AISI M2 high-speed steel using cubic boron nitride under dry cutting conditions. Hard turning experiments were performed employing Taguchi L9 orthogonal array with three input and two output parameters. This experiment was performed using constant cutting speed (150 m.min(-1)), three tool nose radius (0.2, 0.4, 0.8 mm), three feed rates (0.025, 0.05, 0.075 min. rev-1) and three depths of cut (0.05, 0.10, 0.15 mm). The analysis of variance was employed to obtain the most important machining variables. Results showed that surface roughness is primarily influenced by feed rate. Furthermore, the cutting depth mainly affected all components of cutting force, namely axial force, tangential force, and radial force. However, the nose radius was a dominant factor in the radial force. Finally, the regression analysis was performed to obtain the mathematical model between input parameters and output variables. Based on the mathematical model a strong agreement was reached between predicted and empirical values.