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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 422
Type: Contributed
Date/Time: Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #309777
Title: Mixed Effects Models for Prediction of Tool Wear
Author(s): Arzu Onar*+
Companies: St. Jude Children's Research Hospital
Address: 332 N Lauderdale St, Memphis, TN, 38105,
Keywords: unobserved heterogeneity ; factorial experiment ; longitudinal data ; degradation
Abstract:

Semi-dry and dry machining is being adopted by the metal cutting industry worldwide to reduce the harmful effects of traditional metal cutting fluids and the cost associated with procurement, use, and disposal of these fluids. A factorial experiment was designed to study the effect of speed, feed, depth of cut and cutting condition on tool wear in a machining context where tool wear progression was measured longitudinally. The resulting data was modeled via mixed effects to identify the main effects as well as the interactions which play a part in tool wear progression.

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Revised September, 2007