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Efficient Quantification of Free and Forced Convection
Author(s) -
Glänzel Janine,
Stoll Martin,
Unger Roman
Publication year - 2018
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201800201
Subject(s) - interpolation (computer graphics) , computational fluid dynamics , computer science , radial basis function , forced convection , heat transfer coefficient , scale (ratio) , mechanical engineering , machine tool , convection , heat transfer , mechanics , computational science , artificial intelligence , motion (physics) , physics , engineering , quantum mechanics , artificial neural network
Abstract Thermo‐elastic deformations represent one of the main reasons for positioning errors in machine tools. Investigations of the thermo‐mechanical behaviour of machine tools often rely on accurate simulations involving large‐scale CFD simulations, where the heat transfer coefficient is computed. It has been shown that radial basis functions (RBFs) are a valid tool to reduce the number of CFD simulations by interpolation. We here present an efficient approach for the case of a three‐axis milling machine.