Prediction and Optimization of Surface Roughness in Ball Burnishing Process Using Response Surface Methodology
Yükleniyor...
Tarih
2009
Yazarlar
Dergi Başlığı
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Cilt Başlığı
Yayıncı
Beykent Üniversitesi
Erişim Hakkı
Özet
In this study, a regression model was developed to predict surface roughness in burnishing process of 7178 aluminum alloy by using Response Surface Methodology (RSM). In the development of predictive models, burnishing force, number of passes, feed rate and burnishing speed were considered as model variables, surface roughness were considered as a response variable. The statistical analysis showed that, burnishing force and number of passes have the most significant effect on surface roughness. After building the regression model, a numerical optimization technique using desirability functions was carried out to minimize the surface roughness. The lowest value of surface roughness (0.469 //m) is obtained at a burnishing force of 10 N, a feed rate of 0.30 mm/rev and a burnishing speed of 80 m/min with two passes of the burnishing tool.
Açıklama
Anahtar Kelimeler
Burnishing process, Surface roughness, Optimization, RSM
Kaynak
WoS Q Değeri
Scopus Q Değeri
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Sayı
Künye
Journal of Science and Technology 3 (1), 2009, 140 - 148
