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Pregled bibliografske jedinice broj: 420339

Zbornik radova

Autori: Bajić, Dražen; Jozić, Sonja; Celent, Luka
Naslov: INVESTIGATION OF DRILLING PROCESS USING REGRESSION ANALYSIS AND NEURAL NETWORK
Izvornik: CIM 2009 COMPUTER INTEGRATED MANUFACTURING AND HIGH SPEED MACHINING / Abele, Eberhard ; Udiljak, Toma ; Ciglar, Damir (ur.). - Zagreb : Croatian Association of Productuin Engineering , 2009. 7-12 (ISBN: 978-953-7689-00-1).
Skup: 12th INTERNATIONAL SCIENTIFIC CONFERENCE ON PRODUCTION ENGINEERING
Mjesto i datum: Biograd, Hrvatska, 17-20.06.2009.
Ključne riječi: drilling; thrust force and torque; regression analysis; neural network.
Sažetak:
The focus of this paper is to develop a reliable model to predict the depth of drilling, by standard drilling, where the conditions of machinability still stay satisfactory. In this sense, this paper is concerned with the influence of spindle speed and feedrate on increasing thrust force and torque in drilling process. Two modeling methodologies, namely regression analysis and artificial neural network, have been applied to experimentally determined data by means of the design of experiments. The results obtained by the models have been compared. The best prediction of depth of drilling shows neural network model with average relative prediction error of 6, 16%.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 023-0692976-1742
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Strojarstvo
Upisao u CROSBI: dbajic@fesb.hr (dbajic@fesb.hr), 24. Lip. 2009. u 10:22 sati



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