Prediction of the Cut Depth of Granitic Rocks Machined by Abrasive Waterjet (AWJ)


AYDIN G., KARAKURT İ., AYDINER K.

ROCK MECHANICS AND ROCK ENGINEERING, cilt.46, sa.5, ss.1223-1235, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 5
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1007/s00603-012-0307-1
  • Dergi Adı: ROCK MECHANICS AND ROCK ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1223-1235
  • Anahtar Kelimeler: Abrasive waterjet (AWJ), Granitic rocks, Cut depth, Regression analysis, SURFACE-ROUGHNESS, OPTIMIZATION, PERFORMANCE, PARAMETERS, MODEL
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this paper, an experimental study on the cut depth, which is an important cutting performance indicator in the abrasive waterjet (AWJ) cutting of rock, was presented. Taguchi experimental design of an orthogonal array was employed to conduct the experiments. A variety of nine types of granitic rocks were used in the cutting experiments. The experimental data were used to assess the influence of AWJ operating variables on the cut depth. Using regression analysis, models for prediction of the cut depth from the operating variables and rock properties in AWJ machining of granitic rocks were then developed and verified. The results indicated that the cut depths decreased with increasing traverse speed and decreasing abrasive size. On the other hand, increase of the abrasive mass flow rate and water pressure led to increases in the cut depths. Additionally, it was observed that the standoff distance had no discernible effects on the cut depths. Furthermore, from the statistical analysis, it was found that the predictive models developed for the rock types had potential for practical applications. Verification of the models for using them as a practical guideline revealed a high applicability of the models within the experimental range used.