Reliability Analysis of the Tube Hydroforming Process Using Fuzzy Sets Theory

Author(s):  
Bing Li ◽  
Don R. Metzger ◽  
Tim J. Nye

Tube hydroforming currently enjoys increasingly widespread application in industry, especially in the automotive industries, because of several advantages over traditional methods. Reliability analysis as a probabilistic method to deal with the probability of the failure of the structure or the system has been widely used in industry. A new reliability analysis approach for the tube hydroforming process using the fuzzy sets theory is presented in this paper. The stress of the hydroformed tube is related to several parameters, such as geometry, material properties, and process parameters. In most cases, it is difficult to express in a mathematical formula, and its relative parameters are not random variables, but the uncertain variables that have not only randomness but also fuzziness. In this paper, the finite element method is applied as a numerical experiment tool to find the statistical property of the stress directly by a fuzzy linear regression method. Based on the fuzzy stress-random strength interference model, the fuzzy reliability of the tube hydroforming process can be evaluated. A tube hydroforming process for cross-extrusion is then introduced as an example to illustrate the approach. The result shows that this approach can be extended to a wide range of practical tube hydroforming process.

2000 ◽  
Vol 27 (2) ◽  
pp. 101-115 ◽  
Author(s):  
G.R Dodagoudar ◽  
G Venkatachalam

Buildings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 156
Author(s):  
Deniz Besiktepe ◽  
Mehmet E. Ozbek ◽  
Rebecca A. Atadero

Condition information is essential to develop effective facility management (FM) strategies. Visual inspections and walk-through surveys are common practices of condition assessment (CA), generally resulting in qualitative and subjective outcomes such as “poor”, “good”, etc. Furthermore, limited resources of the FM process demand that CA practices be efficient. Given these, the purpose of this study is to develop a resource efficient quantitative CA framework that can be less subjective in establishing a condition rating. The condition variables of the study—mean time between failures, age-based obsolescence, facility condition index, occupant feedback, and preventive maintenance cycle—are identified through different sources, such as a computerized maintenance management system, expert opinions, occupants, and industry standards. These variables provide proxy measures for determining the condition of equipment with the implementation example for heating, ventilating, and air conditioning equipment. Fuzzy sets theory is utilized to obtain a quantitative condition rating while minimizing subjectivity, as fuzzy sets theory deals with imprecise, uncertain, and ambiguous judgments with membership relations. The proposed CA framework does not require additional resources, and the obtained condition rating value supports decision-making for building maintenance management and strategic planning in FM, with a comprehensive and less subjective understanding of condition.


1975 ◽  
Vol 35 (1) ◽  
pp. 80-84 ◽  
Author(s):  
Daniel Kalmanson ◽  
H.Fred Stegall

1990 ◽  
Vol 28 (10) ◽  
pp. 1771-1778 ◽  
Author(s):  
Y. Y. LEE ◽  
B. A. KRAMER ◽  
C. L. HWANG

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