Prediction of noise emission in the machining of wood materials by means of an artificial neural network

ÖZŞAHİN Ş., Singer H.

NEW ZEALAND JOURNAL OF FORESTRY SCIENCE, cilt.52, ss.1-10, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52
  • Basım Tarihi: 2022
  • Doi Numarası: 10.33494/nzjfs522022x92x
  • Dergi Adı: NEW ZEALAND JOURNAL OF FORESTRY SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, BIOSIS, CAB Abstracts, Compendex, Environment Index, Geobase, Directory of Open Access Journals
  • Sayfa Sayıları: ss.1-10
  • Anahtar Kelimeler: artificial neural network, noise emission, machining, wood, prediction, POWER-CONSUMPTION, SAW BLADE, LEVEL, PARAMETERS, PRESSURE, STRENGTH, MOISTURE, WEAR
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Background: Noise produced during machining of wood materials can be a source of harm to workers and an environmental hazard. Understanding the factors that contribute to this noise will aid the development of mitigation strategies. In this study, an artificial neural network (ANN) model was developed to model the effects of wood species, cutting width, number of blades, and cutting depth on noise emission in the machining process.