Influence of Tolerances on Mechatronic Comfort Systems Behavior

Martin Bohn; Fabian Wuttke

doi:10.4028/www.scientific.net/AMM.104.75

Paper Titles

An Approach to Classify Methods to Control Uncertainty in Load-Carrying Structures
p.33

Time-Dependent Fuzzy Stochastic Reliability Analysis of Structures
p.45

Ontology-Based Information Model for the Exchange of Uncertainty in Load Carrying Structures
p.55

An Approach of Design Methodology and Tolerance Optimization in the Early Development Stage to Achieve Robust Systems
p.67

Influence of Tolerances on Mechatronic Comfort Systems Behavior
p.75

Control of Uncertainties in Metal Forming by Applications of Higher Flexibility Dimensions
p.83

Early Stage Geometrical Deviation Optimization – An Automotive Example for Sheet Metal Parts
p.95

Methods for the Control of Uncertainty in Multilevel Process Chains Using the Example of Drilling/Reaming
p.103

Integration of Smart Materials by Incremental Forming
p.115

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 104Influence of Tolerances on Mechatronic Comfort...

Influence of Tolerances on Mechatronic Comfort Systems Behavior

Abstract:

In contrast to Robust Design applications for FEM-modeled parts, the simulation of a mechatronic system including both mechanical and electrical parts requires a different strategy for the investigation of its robustness. Differences mainly results from interactions between the mechanical and the electrical part of the mechatronic system. Furthermore, a comfort mechatronic system in the automotive industry is designed customer-oriented. Subsequently, the behavior of its movement and the respective robustness has to be considered too. This paper presents an approach to evaluate robustness of mechatronic comfort systems. Additionally, the approach is applied to sliding doors of vans to prove the practicability to industrial problems.

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Periodical:

Applied Mechanics and Materials (Volume 104)

Pages:

75-82

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.104.75

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Online since:

September 2011

Authors:

Martin Bohn, Fabian Wuttke

Keywords:

Comfort Systems, Evaluation of Robustness, Mechatronic System, Robust Design

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References

[1] Sass, R. New Again: The Hideaway Hardtop, The New York Times, 2006, available online at http: /www. nytimes. com/2006/12/10/automobiles/10RETRACT. html?ex=1323406800&en= a440f0f4ff67f836&ei=5090&partner=rssuserland&emc=rssfdsa.

Google Scholar

[2] Lindemann, U. Methodische Entwicklung technischer Produkte (engl: Methodical development of technical products), 3 ed., 2009 (Springer Dordrecht Heidelberg London New York) DOI 10. 1007/978-3-642-01423-9.

Google Scholar

[3] Ma, M. and Yi, H. Lightweight Car Body and Application of High Strength Steels, 2011. In Advanced Steels, Part 3, pp.187-198 DOI: 10. 1007/978-3-642-17665-4_20.

DOI: 10.1007/978-3-642-17665-4_20

Google Scholar

[4] Bucher, C. Basic concepts for robustness evaluation using stochastic analysis. In EUROMECH Colloquium 482, September (2007).

Google Scholar

[5] Phadke, M.S. Quality Engineering using robust Design, 1989 (Prentice Hall, Englewood Cliffs, New Jersey).

Google Scholar

[6] Taguchi, G. S. Introduction to Quality Engineering – Designing Quality into Products and Processes, 1986 (Asian productivity Organization, Tokyo).

Google Scholar

[7] Wuttke, F. and Bohn, M. Optimization of Robustness as Contribution to Early Design Validation of Kinematically-Dominated Mechatronic Systems Regarding Automotive Needs. In NAFEMS Nordic Conference 2010: Future Trends and Needs in Engineering Simulation, October (2010).

Google Scholar

[8] King, B., Rosopa, P. and Minium, E. Statistical Reasoning in the Behavioral Sciences, 5 ed., 2007 (Wiley & Sons, Hoboken, New Jersey).

Google Scholar

[9] Kessler, W. Multivariate Datenanalyse in der Bio- und Prozessanalytik (engl: Multivariate data analysis in bio- and process analytics), Wiley-VCH, (2007).

DOI: 10.1002/9783527610037

Google Scholar