Title: Application of decision analysis to milling profit maximisation: an introduction

Authors: A.E. Abbas, L. Yang, R. Zapata, T.L. Schmitz

Addresses: Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 117 Transportation Building, MC-238, Urbana, IL 61801, USA. ' Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 117 Transportation Building, MC-238, Urbana, IL 61801, USA. ' Department of Mechanical and Aerospace Engineering, University of Florida, 237 MAE-B, Gainesville, FL 32611, USA. ' Department of Mechanical and Aerospace Engineering, University of Florida, 237 MAE-B, Gainesville, FL 32611, USA

Abstract: This paper describes the application of decision analysis to milling optimisation. In this initial study we include the effects of uncertainty in tool life and force model coefficients. The decisions represent the milling operating parameters. A single-attribute value function is used to maximise profit. Stability of the milling operation, surface location error, and surface roughness pose constraints on the feasible decision alternatives. A numerical study comparing four optimisation scenarios is presented where values of tool life and force model coefficients are either deterministic or uncertain. The optimised results are compared to manufacturer recommendations.

Keywords: milling optimisation; decision analysis; stability lobe diagram; SLE; surface location error; uncertainty; tool life; force model coefficients; surface roughness.

DOI: 10.1504/IJMPT.2009.025220

International Journal of Materials and Product Technology, 2009 Vol.35 No.1/2, pp.64 - 88

Available online: 16 May 2009 *

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