Naslov
Machined Surface Quality Prediction Models Based on Moving Least Squares and Moving Least Absolute Deviations Methods

Autori
Svalina, Ilija ; Sabo, Kristian ; Šimunović, Goran

Izvornik
International Journal of Advanced Manufacturing Technology (1433-3015) 57 (2011), 9; 1099-1106

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
surface quality; prediction model; prediction functions; numerical regression methods

Sažetak
Surface roughness is often taken as an indicator of the quality of machined work pieces. Achieving the desired surface quality is of great importance for the product function. The paper analyses the influence of the cutting depth, feed rate and number of revolutions on surface roughness. The obtained results of experimental research conducted on the work piece “diving manifold”, were used to determine the coefficients by different numerical methods of the same prediction model. The results of surface roughness provided by the prediction functions generated in this work were compared with the results of surface roughness obtained by using neural networks. The assessment of surface roughness provided by models and neural networks can facilitate the work of less experienced technologists and thus shorten the time of production technology preparation. The obtained results show that the total mean square deviation in models obtained by the application of the moving linear least squares and the moving linear least absolute deviations methods is nevertheless considerably higher than by the application of neural network method.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Strojarstvo

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