Details
Original language | English |
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Title of host publication | Analysis and Simulation of Contact Problems |
Editors | Peter Wriggers, Udo Nackenhost |
Place of Publication | Berlin |
Publisher | Springer Verlag |
Pages | 279-287 |
Number of pages | 9 |
Edition | 27 |
ISBN (electronic) | 978-3-540-31761-6 |
ISBN (print) | 3540317600, 9783540317609 |
Publication status | Published - 2006 |
Publication series
Name | Lecture Notes in Applied and Computational Mechanics |
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Volume | 27 |
ISSN (Print) | 1613-7736 |
Abstract
In this paper an approach for friction coefficient prognosis for the Groschwheel is presented. Since the solid rubber wheel (80 mm diameter) represents a simpli fied tyre model this contribution helps to investigate the rolling friction process and especially the feasibility and limitations of the automotive friction prognosis. The grip information is derived from influence parameters like road state, velocity, temperature etc. The methodical innovation of the approach proposed consists in the use of an artificial neural network as data based model that performs multi dimensional interpolation in the learning stage. The operating stage consists of common mathematical operations with low computational effort.
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computational Theory and Mathematics
Cite this
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Analysis and Simulation of Contact Problems. ed. / Peter Wriggers; Udo Nackenhost. 27. ed. Berlin: Springer Verlag, 2006. p. 279-287 (Lecture Notes in Applied and Computational Mechanics; Vol. 27).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Friction coefficient prognosis for the Grosch-wheel
AU - Bouzid, N.
AU - Heimann, B.
AU - Blume, H.
PY - 2006
Y1 - 2006
N2 - In this paper an approach for friction coefficient prognosis for the Groschwheel is presented. Since the solid rubber wheel (80 mm diameter) represents a simpli fied tyre model this contribution helps to investigate the rolling friction process and especially the feasibility and limitations of the automotive friction prognosis. The grip information is derived from influence parameters like road state, velocity, temperature etc. The methodical innovation of the approach proposed consists in the use of an artificial neural network as data based model that performs multi dimensional interpolation in the learning stage. The operating stage consists of common mathematical operations with low computational effort.
AB - In this paper an approach for friction coefficient prognosis for the Groschwheel is presented. Since the solid rubber wheel (80 mm diameter) represents a simpli fied tyre model this contribution helps to investigate the rolling friction process and especially the feasibility and limitations of the automotive friction prognosis. The grip information is derived from influence parameters like road state, velocity, temperature etc. The methodical innovation of the approach proposed consists in the use of an artificial neural network as data based model that performs multi dimensional interpolation in the learning stage. The operating stage consists of common mathematical operations with low computational effort.
UR - http://www.scopus.com/inward/record.url?scp=33748987669&partnerID=8YFLogxK
U2 - 10.1007/3-540-31761-9_31
DO - 10.1007/3-540-31761-9_31
M3 - Contribution to book/anthology
AN - SCOPUS:33748987669
SN - 3540317600
SN - 9783540317609
T3 - Lecture Notes in Applied and Computational Mechanics
SP - 279
EP - 287
BT - Analysis and Simulation of Contact Problems
A2 - Wriggers, Peter
A2 - Nackenhost, Udo
PB - Springer Verlag
CY - Berlin
ER -