Online Temperature Prediction Using a Branch Eigenmode Reduced Model Applied to Cutting Process

In this article, we propose a method to estimate the temperature field in the hottest zone of a cutting tool. Since temperature measurements are not possible in this zone, an inverse method using a branch modal reduction is implemented. The reduced model is used in an inverse problem to identify the...

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Bibliographic Details
Published inNumerical heat transfer. Part A, Applications Vol. 55; no. 7; pp. 683 - 705
Main Authors Videcoq, Etienne, Lazard, Myriam, Quemener, Olivier, Neveu, Alain
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis Group 01.01.2009
Taylor & Francis Ltd
Taylor & Francis
Subjects
Eigenvalues
Engineering Sciences
Heat transfer
Mechanics
Temperature
Cutting process
Frictional forces
Heat flux densities
Modal reduction
Temperature prediction
Work pieces
Eigen modes
Reduced model
Inverse methods
Temperature field
Real time
Tool contact
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Summary:In this article, we propose a method to estimate the temperature field in the hottest zone of a cutting tool. Since temperature measurements are not possible in this zone, an inverse method using a branch modal reduction is implemented. The reduced model is used in an inverse problem to identify the heat flux density generated by the frictional forces. Knowing the interface heat flux, the direct problem is solved to compute the temperature field in the tool. The analysis of the results shows that this method enables supervision of the temperature field at the workpiece-tool contact area in real time.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1040-7782
1521-0634
DOI:10.1080/10407780902821490