Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Journal of Applied Geodesy

Editor-in-Chief: Kahmen, Heribert / Rizos, Chris


CiteScore 2018: 1.61

SCImago Journal Rank (SJR) 2018: 0.532
Source Normalized Impact per Paper (SNIP) 2018: 1.064

Online
ISSN
1862-9024
See all formats and pricing
More options …
Volume 1, Issue 1

Issues

Analysis of dynamic deformation processes with adaptive KALMAN-filtering

Andreas Eichhorn
  • Institute of Geodesy and Geophysics, Research Group Engineering Geodesy, Vienna University of Technology, Vienna, Austria.
  • Email:
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2007-07-15 | DOI: https://doi.org/10.1515/jag.2007.002

In this paper the approach of a full system analysis is shown quantifying a dynamic structural ("white-box"-) model for the calculation of thermal deformations of bar-shaped machine elements. The task was motivated from mechanical engineering searching new methods for the precise prediction and computational compensation of thermal influences in the heating and cooling phases of machine tools (i.e. robot arms, etc.). The quantification of thermal deformations under variable dynamic loads requires the modelling of the non-stationary spatial temperature distribution inside the object. Based upon FOURIERS law of heat flow the high-grade non-linear temperature gradient is represented by a system of partial differential equations within the framework of a dynamic Finite Element topology. It is shown that adaptive KALMAN-filtering is suitable to quantify relevant disturbance influences and to identify thermal parameters (i.e. thermal diffusivity) with a deviation of only 0,2%. As result an identified (and verified) parametric model for the realistic prediction respectively simulation of dynamic temperature processes is presented. Classifying the thermal bend as the main deformation quantity of bar-shaped machine tools, the temperature model is extended to a temperature deformation model. In lab tests thermal load steps are applied to an aluminum column. Independent control measurements show that the identified model can be used to predict the columns bend with a mean deviation (r.m.s.) smaller than 10 mgon. These results show that the deformation model is a precise predictor and suitable for realistic simulations of thermal deformations. Experiments with modified heat sources will be necessary to verify the model in further frequency spectra of dynamic thermal loads.

Key Words: Thermal deformations,; bar-shaped machine elements,; dynamic structural deformation model,; identification,; adaptive KALMAN-filtering

About the article

Published Online: 2007-07-15

Published in Print: 2007-05-23


Citation Information: Journal of Applied Geodesy jag, Volume 1, Issue 1, Pages 9–15, ISSN (Online) 1862-9024, ISSN (Print) 1862-9016, DOI: https://doi.org/10.1515/jag.2007.002.

Export Citation

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Jens-André Paffenholz, Hamza Alkhatib, and Hansjörg Kutterer
Journal of Applied Geodesy, 2010, Volume 4, Number 3

Comments (0)

Please log in or register to comment.
Log in