Analyzing and Modeling of the Influence of Cutting Parameters on the Cutting Force in Face Milling (CROSBI ID 566148)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bajić, Dražen ; Celent, Luka ; Jozić, Sonja
engleski
Analyzing and Modeling of the Influence of Cutting Parameters on the Cutting Force in Face Milling
The general manufacturing problem can be described as the achievement of a predefined product quality with given equipment, cost and time constraints. This paper examines the influence of three cutting parameters on the cutting force components during face milling of steel 42CrMo4. The cutting speed, the feed per tooth and the depth of cut have been taken as influential factors. Two modeling methodologies, namely regression analysis and neural networks, have been applied to experimentally determined data. Results obtained by the models have been compared. The research has shown that whit small training dataset, neural networks modeling methodologies are comparable with regression analysis methodology and it can even offer better result, in this case average relative error of 2, 62%.
face milling; cutting force; regression analysis; radial basis function neural network
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Podaci o prilogu
17-20.
2010.
objavljeno
Podaci o matičnoj publikaciji
Trends in the Development of Machinery and Associated Technology - TMT 2010
Sabahudin Ekinović, Yildirim Uctug, Joan Vivancos Calvet
Zenica: Mašinski fakultet Univerziteta u Zenici
1840-4944
Podaci o skupu
14th International Research/Expert Conference
predavanje
11.10.2010-18.10.2010
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