Fuzzy Sensitivity Analysis in the Context of Dimensional Management

Journal article
(Original article)


Publication Details

Author(s): Oberleiter T, Heling B, Schleich B, Willner K, Wartzack S
Journal: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Publication year: 2018
Volume: Volume 5
Journal issue: Issue 1
Pages range: 011008-1 - 011008-7
ISSN: 2332-9025
eISSN: 2332-9017
Language: English


Abstract

Real components always deviate from their ideal dimensions. This makes every component, even a serial production, unique. Although they look the same, differences can always be observed due to different scattering factors and variations in the manufacturing process. All these factors inevitably lead to parts that deviate from their ideal shape and, therefore, have different properties than the ideal component. Changing properties can lead to major problems or even failure during operation. It is necessary to specify the permitted deviations to ensure that every single product nevertheless meets its technical requirements. Furthermore, it is necessary to estimate the consequences of the permitted deviations, which is done via tolerance analysis. During this process, components are assembled virtually and varied with the uncertainties specified by the tolerances. A variation simulation is one opportunity to calculate these effects for geometric deviations. Since tolerance analysis enables engineers to identify weak points in an early design stage, it is important to know the contribution that every single tolerance has on a certain quality-relevant characteristic, to restrict or increase the correct tolerances. In this paper, a fuzzy-based method to calculate the sensitivity is introduced and compared with the commonly used extended Fourier amplitude sensitivity test (EFAST) method. Special focus of this work is the differentiation of the sensitivity for the total system and the sensitivities for the subsystems defined by the α-cuts of the fuzzy numbers. It discusses the impact of the number of evaluations and nonlinearity on sensitivity for EFAST and the fuzzy-based method


FAU Authors / FAU Editors

Heling, Björn
Lehrstuhl für Konstruktionstechnik
Oberleiter, Thomas
Professur für Strukturmechanik
Schleich, Benjamin Dr.-Ing.
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik
Willner, Kai Prof. Dr.-Ing.
Professur für Strukturmechanik


How to cite

APA:
Oberleiter, T., Heling, B., Schleich, B., Willner, K., & Wartzack, S. (2018). Fuzzy Sensitivity Analysis in the Context of Dimensional Management. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Volume 5(Issue 1), 011008-1 - 011008-7. https://dx.doi.org/10.1115/1.4040919

MLA:
Oberleiter, Thomas, et al. "Fuzzy Sensitivity Analysis in the Context of Dimensional Management." ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Volume 5.Issue 1 (2018): 011008-1 - 011008-7.

BibTeX: 

Last updated on 2019-05-01 at 07:10

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