This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Robust Methodology to Predict the Fatigue Life of an Automotive Closures System Subjected to Hinge and Check Link Load
Technical Paper
2020-01-0599
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
In order to provide an accurate estimation of fatigue life of automotive door hinges and check strap mounting location, it is crucial to understand the loading conditions associated with opening and closing the door. There are many random factors and uncertainties that affect the durability performance of hinge and check strap mount structures in either a direct or indirect way. Excessive loads are generated at the hinge and check arm mounting region during abuse conditions when opening the door. Repeating the abuse conditions will lead to fatigue failures in these components. Most influencing parameter affecting the fatigue performance for the door was the loads due to hinge-check arm sensitivity stoppage and the distance between hinge and check strap attachments. However, the probability of occurrences was low, but the impact is high. In this proposed investigation, Monte Carlo simulation methodology is applied on the randomly selected samples with predicted distribution of all dependent factors to know the fatigue life variations in the hinge mount structure. Weibull distribution is the most efficient way of estimating the fatigue failure or fatigue life. This can be estimated on the basis of the function of the populated size. The mean and standard deviation of the simulated fatigue life converged with a greater number of randomly varied samples. This technique defines the maximum allowable load cycles on the hinges and the check arm mount structure, and their variability. It helps in keeping the door opening efforts below the target value. The fatigue life cycle of the door is predicted closest to the experiments by applying the proposed method on more number of samples. It also keeps the probability of failure under check
Authors
Citation
Puthuvayil, N., Zaman, T., and S, S., "A Robust Methodology to Predict the Fatigue Life of an Automotive Closures System Subjected to Hinge and Check Link Load," SAE Technical Paper 2020-01-0599, 2020, https://doi.org/10.4271/2020-01-0599.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 |
Also In
References
- Tsianika , V. , Geroulas , V. , Papadimitriou , D. , and Mourelatos , Z. A Methodology of Design for Fatigue Using an AcceleratedLife Testing Approach with Saddle Point Approximation SAE Technical Paper 2019-01-0159 2019 https://doi.org/10.4271/2019-01-0159
- Kihm , F. , Halfpenny , A. , and Munson , K. Synthesis of Accelerated and More Realistic Vibration Endurance Tests Using Kurtosis SAE Technical Paper 2016-01-0275 2016 https://doi.org/10.4271/2016-01-0275
- Munson , K. , Yenal , U. , and Lavelle , P. Durability Test Design: Linking Fatigue and Reliability SAE Technical Paper 2018-01-0795 2018 https://doi.org/10.4271/2018-01-0795
- Tufekci , M. , Karpat , F. , Yuce , C. , Dogan , O. et al. Design Optimization of Aluminum Hinge Parts for Lightweight Vehicles: Performance, Durability and Manufacturability International Journal of Mechanical and Production Engineering 3 12 2015
- Wei , Z. , Mandapati , R. , Nayaki , R. , and Hamilton , J. Accelerated Reliability Demonstration Methods Based on Three-Parameter Weibull Distribution SAE Technical Paper 2017-01-0202 2017 https://doi.org/10.4271/2017-01-0202
- Lee , J.O. , Yang , Y.O. , and Ruy , W.S. A Comparative Study on Reliability Index and Target Performance Based Probabilistic Structural Design Optimization Computers and Structures 80 257 269 2002
- March 1, 2002
- Song , J. , Mourelatos , Z.P. , Gu , R.J. , and Crepeau , P.N. Sensitivity Study of Staircase Fatigue Tests Using Monte Carlo Simulation SAE Technical Paper 2005-01-0803 2005 https://doi.org/10.4271/2005-01-0803
- Blanco , C. , Martín Meizoso , A. Sensitivity Analysis of the Staircase Method to Determine the Fatigue Limit 19th European Conference on Fracture (ECF19) Kazan, Russia 2012 978-5-905576-18-8
- Engler-Pinto , C.C. Jr. , Lasecki , J.V. , Frisch , R.J. Sr. , DeJack , M.A. , and Allison , J.E. Statistical Approaches Applied to Fatigue Test Data Analysis SAE Technical Paper 2005-01-0802 2005 https://doi.org/10.4271/2005-01-0802
- Narayanan , G. , Rezaei , K. , and Nackenhorst , U. Fatigue Life Estimation of Aero Engine Mount Structure Using Monte Carlo Simulation International Journal of Fatigue 83 53 58 2016
- Yılmaz , T.G. , Tufekci , M. , and Karpat , F. A Study of Lightweight Door Hinges of Commercial Vehicles Using Aluminum Instead of Steel for Sustainable Transportation Sustainability 9 1661 2017
- Bayraktar , M. , Bilyaz , H. , and Demir , C. Kinematic, Kinetic and Fatigue Analyses of Cup Hinge with Brake Sak. Univ. J. Sci. 2 2018
- United Nations Economic Commission for Europe (UNECE) https://www.unece.org/file admin/DAM/trans/main/wp29/wp29regs/2013/R011r2e.pdf 2018
- Lawless , J.F. Statistical Models and Methods for Lifetime Data Second Hoboken, NJ Wiley-Interscience 2003
- Lipson , C. and Sheth , N.J. Statistical Design and Analysis of Engineering Experiments McGraw-Hill 1973
- Wu , D. , Zhou , J. , and Li , Y. Unbiased Estimation of Weibull Parameters with the Linear Regression Method J Euro Ceram Soc 26 1099 1105 2006 http://doi.org/10.1016/j.jeurceramsoc.2005.01.044
- Ambrozic , M. , Bermejo , R. , Supancic , P. , and Kosmac , T. Monte Carlo Simulation of Weibull Distribution of Ceramic Strength Values Proc. of the XIth Int. Congress and Exposition USA 2008