AUTOMATIC ORDER REDUCTION FOR FINITE ELEMENT MODELS

2005 ◽  
Author(s):  
ANDREAS GREINER ◽  
JAN LIENEMANN ◽  
EVGENII RUDNYI ◽  
JAN G. KORVINK ◽  
LORENZA FERRARIO ◽  
...  
Keyword(s):  
Finite Element ◽  
Order Reduction ◽  
Finite Element Models

Methodology for the Efficient Analysis of Thermal and Thermo-Elastic Behaviour of Machine Tools

2014 ◽  
Vol 1018 ◽  
pp. 395-402 ◽  
Author(s):  
Knut Großmann ◽  
Alexander Galant ◽  
Marcel Merx ◽  
Mirko Riedel
Keyword(s):  
Finite Element ◽  
Machine Tools ◽  
Order Reduction ◽  
Computational Effort ◽  
Elastic Behaviour ◽  
Limiting Factor ◽  
Finite Element Models ◽  
Model Matching ◽  
Thermally Induced ◽  
Improve Model

Thermally induced deviations become the limiting factor for the precision of machine tools. Structure-based finite-element models of high resolution can estimate these deviations with high accuracy but have also a high computational effort. With model order reduction (MOR) these models can be converted into structure-preserving reduced-order finite-element models (FEM-MOR-models) which can be solved very efficiently in MATLAB/Simulink®. To improve model matching selective thermography is used. Selective thermography is a measurement method providing high structural resolution and minimal instrumentation expense due to the use of thermography and photogrammetric methods.

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