Flank wear prediction in high-speed face milling using Monte Carlo simulation method

Al Hazza, Muataz Hazza F. and Ali, Mohammad Yeakub and Omer, T.M. and Juraimi, N. A and Adesta, Erry Yulian Triblas (2020) Flank wear prediction in high-speed face milling using Monte Carlo simulation method. In: 5th North American International Conference on Industrial Engineering and Operations Management, 10th-14h August 2020, Detroit, MI, USA.

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Abstract

In high-speed machining, Flank wear length is tough to predict due to significant dynamical change in the cutting zone. Therefore, using the traditional methods in predicting the flank wear may be varied from the accurate values. One of the practical alternatives is by using the Monte Carlo simulation method. This research compares three different scenarios in predicting the flank wear in high-speed face milling under dry conditions. The experiments were conducted using Box Behnken Design (BBD) in dry machining in high-speed face milling of AISI 1050. Six scenarios have been implemented: 50, 100, 250, 500, 1000, and 2000 simulated runs. The results were analyzed and indicated that even with the complexity of the process, the Monte Carlo method gave results high accuracy as compared with the actual experimental results with an error of 0.24%, 0.16%, 0.11%, 0.09%, 0.046% and 0.047%. Determining the optimum number of runs that give the minimum number of runs is time effectiveness. Finally, the optimum number of simulation runs was determined. knowing the best number of simulations runs that sane time and increase the accuracy is essential to increase the advantages of using MC method. © IEOM Society International.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	Virtual via Zoom
Uncontrolled Keywords:	High speed face milling, Monte Carlo, Flank wear
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Faizah Shahbudin
Date Deposited:	18 Jan 2021 17:01
Last Modified:	19 Jan 2021 09:08
URI:	http://irep.iium.edu.my/id/eprint/87885

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