Machinability of hardened AISI S1 cold work tool steel using cubic boron nitride


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ŞAHİNOĞLU A., Rafighi M.

Scientia Iranica, cilt.28, sa.5 B, ss.2655-2670, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 5 B
  • Basım Tarihi: 2021
  • Doi Numarası: 10.24200/sci.2021.55772.4398
  • Dergi Adı: Scientia Iranica
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Arab World Research Source, Communication Abstracts, Compendex, Geobase, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.2655-2670
  • Anahtar Kelimeler: AISI S1 steel, Hard turning, Machining sound, Power consumption, Response surface methodology, Surface roughness
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Recently, hard turning has become an interesting method for manufacturers as an alternative to the grinding process due to its superior features such as good surface quality, good productivity, lower production costs, lower power consumption, and shorter processing time. Despite its considerable benefits, hard turning is a difficult process that needs advanced cutting inserts such as ceramics and cubic boron nitride. However, these cutting inserts are costly and should be used properly by choosing appropriate machining parameters. In the presented work, the hard turning process was employed to investigate the machinability of AISI S1 cold work tool steel using a cubic boron nitride insert. The relation between machining parameters, namely depth of cut, cutting speed, and feed rate, on the responses such as power consumption, surface roughness, and machining sound was found using a full factorial orthogonal array of response surface methodology. In addition, analysis of variance was used to identify the most important machining parameters that inuence output parameters. Based on the results, surface roughness was dominantly affected by feed rate, whereas sound and power consumption were inuenced by all machining parameters, especially cutting speed and feed rate. Good agreement between the experimental and predicted values was observed.