Reducing the Roughness and Sound Intensity by Optimization of Cutting Parameters in Processing of AISI 2714 Steel Material on CNC Milling Machine

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Albayrak S., MERCAN S., Karaçam H.

Tehnicki Vjesnik, cilt.29, sa.6, ss.1941-1948, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 6
  • Basım Tarihi: 2022
  • Doi Numarası: 10.17559/tv-20220329104618
  • Dergi Adı: Tehnicki Vjesnik
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1941-1948
  • Anahtar Kelimeler: cutting parameters, milling machine, sound intensity, surface roughness, response surface method, worker health
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

© 2022, Strojarski Facultet. All rights reserved.Within the scope of this study, optimization of cutting parameters (feed rate, cutting speed and depth of cut) was aimed in order to reduce the noise level that occurs during the processing of AISI 2714 steel on CNC milling machine without compromising the surface roughness. Experimental design was examined in three variables, three levels and two target functions. In order to investigate the contribution of these parameters to the target function, the experiments were carried out in accordance with the experiment plan determined by using the "Central Composite Design (CCD)" of the "Response Surface Method (RSM)". Mathematical models have been developed in order to predict sound intensity and surface roughness by applying regression analysis to the experimental results. As a result, it has been observed that the most effective parameter in reducing the surface roughness is the feed rate, followed by the depth of cut. While the depth of cut was the most effective parameter in reducing the sound intensity, it was determined that the next effective parameter was the feed rate.