Value of information and experimentation in milling profit optimisation. (4th September 2009)

• Record Type: Journal Article
• Authors: Zapata-Ramos, R.E.; Schmitz, T.L.; Traverso, M.; Abbas, A.
• Is Part Of: International journal of mechatronics and manufacturing systems. Volume 2:Number 5/6(2009)
• Page Start: 580
• Page End: 599
• Publication Date: 2009-09-04
• Subjects: milling optimisation -- decision analysis -- stability lobe diagram -- stability uncertainty -- perfect information value -- value of experiments -- tool life -- Monte Carlo simulation -- force modelling -- frequency response function; Mechatronics -- Periodicals; 629.89
• Languages: English
• ISSNs: 1753-1039

Abstract

This paper presents a decision-analytic approach to milling optimisation in the presence of uncertainty. The decisions include the milling parameter settings and the uncertainties include the probability of stability and tool life. We quantify the stability uncertainty by Monte Carlo simulation, where the force model coefficients and frequency response function uncertainties are propagated through the stability model. We treat tool life uncertainty using encoding. We then apply a single attribute objective function, expected profit, to determine optimal settings. Using this formulation, we determine the value of an experiment, the optimal experiment settings, and the value of perfect information.