Paper Titles

Sulfuric Acid-Activated Silica Gel as a Potential Solid Acid Catalyst
p.159

Oxygen Electrochemical Production from Air by High Performance Anion Exchange Membrane Electrode Assemble Devices
p.166

Analysis of the Metallic Intermediate Band in Cr-doped AgGaS₂ Semiconductor for the Photovoltaic Application
p.172

Numerical Comparison of the Elastic Response of Stochastic Tow-Based Composites with Different Chip Consolidation Methods
p.179

A Refined Cumulative Fatigue Damage Model for Rubber Components
p.190

Effect of Linear Crack Size and Location Relationship to Piston Stress and Damage Tolerance
p.197

Optical Processing Damage Reduced by Polishing Technology with Material Removal in Elastic Mode
p.203

Compressive Behaviour of Square CFDST Short Columns with Double Inner Steel Tubes
p.211

Numerical Study on Upgrade of Steel I-Beams and Columns with Rectangular Web Openings
p.222

HomeKey Engineering MaterialsKey Engineering Materials Vol. 920A Refined Cumulative Fatigue Damage Model for...

A Refined Cumulative Fatigue Damage Model for Rubber Components

Article Preview

Abstract:

Prediction of the fatigue of rubber component can be difficult owing to rubber material being mechanically nonlinear and a large variety of randomness being invloved in production. Based on the classic metal fatigue prediction theory, this work proposes a refined cumulative fatigue predictor in a tensor form for the rubber components fagtigue life prediction using a hyperelastic FE analysis. The predictor is applied to estimate the fatigue behavior of engine rubber mounts under two working conditions while the fatigue life is measured using hydraulic testing machine. The predicted fatigue life is shown to be within ±2 times of the measurement results suggesting the effectiveness of the proposed method.The applicability of the proposed approach in rubber-related industrial products evaluation is discussed.

You might also be interested in these eBooks

New Material and Chemical Industry

Modern Engineering Materials and Efficient Technologies

Info:

Periodical:

Key Engineering Materials (Volume 920)

Pages:

190-196

DOI:

https://doi.org/10.4028/p-q38kvb

Citation:

Cite this paper

Online since:

May 2022

Authors:

Wen Tao Wang*, Zhi Zhang, Jing Wu, Chao Feng Yang

Keywords:

Fatigue Damage Model, Filled Natural Rubber, Rubber Components, Strain Tensor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2022 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] MARS W V, FATEMI A. A literature survey on fatigue analysis approaches for rubber [J]. International Journal of Fatigue, 2002, (24): 949–961.

DOI: 10.1016/s0142-1123(02)00008-7

[2] ZINE A, BENSEDDIQ N, NAïT ABDELAZIZ M. Rubber fatigue life under multiaxial loading: Numerical and experimental investigations [J]. International Journal of Fatigue, 2011, 33(10): 1360-1368.

DOI: 10.1016/j.ijfatigue.2011.05.005

[3] LOEW P J, POH L H, PETERS B, et al. Accelerating fatigue simulations of a phase-field damage model for rubber [J]. Computer Methods in Applied Mechanics and Engineering, 2020, (370): 113247.

DOI: 10.1016/j.cma.2020.113247

[4] KIM W D, A H J L, A J Y K, et al. Fatigue life estimation of an engine rubber mount [J]. International Journal of Fatigue, 2004, (26 ): 553-60.

DOI: 10.1016/j.ijfatigue.2003.08.025

[5] MOON S-I, CHO I-J, WOO C-S, et al. Study on determination of durability analysis process and fatigue damage parameter for rubber component [J]. Journal of Mechanical Science and Technology, 2011, 25(5): 1159-65.

DOI: 10.1007/s12206-011-0221-6

[6] WOO C-S, KIM W-D, KWON J-D. A study on the material properties and fatigue life prediction of natural rubber component [J]. Materials Science and Engineering: A, 2008, (483-484): 376-81.

DOI: 10.1016/j.msea.2006.09.189

[7] SHANGGUAN Wenbin, DUAN Xiaocheng, LIU Taikai et al. Study on the Effect of Different Damage Parameters on the PredictingFatigue Life of Rubber Isolators [J]. Journal of Mechanical Engineering, 2016, 52(02): 116-26.

DOI: 10.3901/jme.2016.02.116

[8] WANG Wentao, SHANGGUAN Wenbin, DUAN Xiaocheng. Study on Prediction of Fatigue Life of Rubber Mount Based on Linear Cumulative Fatigue Damage Theory [J]. Journal of Mechanical Engineering, 2012, (10): 56-65.

DOI: 10.3901/jme.2012.10.056

[9] HARBOUR R J O. Multiaxial Deformation and Fatigue ofRubber under Variable Amplitude Loading [D]; The University of Toledo, (2006).

[10] GEHRMANN O, KRöGER N H, MUHR A. Displacement-controlled fatigue testing of rubber is not strain-controlled [J]. International Journal of Fatigue, 2021, 145: 106083.

DOI: 10.1016/j.ijfatigue.2020.106083

[11] ZARRIN-GHALAMI T, FATEMI A. Multiaxial fatigue and life prediction of elastomeric components [J]. International Journal of Fatigue, 2013, (55): 92-101.

DOI: 10.1016/j.ijfatigue.2013.05.009

[12] MARS W, FATEMI A. Nucleation and growth of small fatigue cracks in filled natural rubber under multiaxial loading [J]. Journal of Materials Science, 2006, 41(22): 7324-32.

DOI: 10.1007/s10853-006-0962-2

[13] CHOI J, QUAGLIATO L, LEE S, et al. Multiaxial fatigue life prediction of polychloroprene rubber (CR) reinforced with tungsten nano-particles based on semi-empirical and machine learning odels [J]. International Journal of Fatigue, 2021, (145): 106-136.

DOI: 10.1016/j.ijfatigue.2020.106136

[14] V.MARS W, A.FATEMI. A phenomenological model for the effect of R ratio on fatigue of strain crystallizing rubbers [M]. Akron, OH, ETATS-UNIS: American Chemical Society, (2003).

DOI: 10.5254/1.3547800

[15] J. C D, J. Y. A review of methods to characterize rubber elastic behaviour for use in finite element analysis [J]. Rubber Chemistry and technology, 1994, (67): 481-503.

DOI: 10.5254/1.3538686

[16] LI Q, ZHAO J-C, ZHAO B. Fatigue life prediction of a rubber mount based on test of material properties and finite element analysis [J]. Engineering Failure Analysis, 2009, 16(7): 2304-10.

DOI: 10.1016/j.engfailanal.2009.03.008

[17] CHO J R, JEE Y B, KIM W J, et al. Homogenization of braided fabric composite for reliable large deformation analysis of reinforced rubber hose [J]. Composites Part B: Engineering, 2013, (53): 112-20.

DOI: 10.1016/j.compositesb.2013.04.045

[18] CRUANES C, LACROIX F, BERTON G, et al. Study of the fatigue behavior of a synthetic rubber undergoing cumulative damage tests [J]. International Journal of Fatigue, 2016, (91): 32-27.

DOI: 10.1016/j.ijfatigue.2015.11.026

[19] BEHROOZIKHAH A, MORAFA S H, AFLAKI S. Investigation of fatigue cracks on RAP mixtures containing Sasobit and crumb rubber based on fracture energy [J]. Construction and Building Materials, 2017, (141): 52-32.

DOI: 10.1016/j.conbuildmat.2017.03.011

[20] CHO J R, YOON Y H, SEO C W, et al. Fatigue life assessment of fabric braided composite rubber hose in complicated large deformation cyclic motion [J]. Finite Elements in Analysis and Design, 2015, (100): 65-76.

DOI: 10.1016/j.finel.2015.03.002

[21] LUO R K, MORTE W J, WU X P. Fatigue failure investigation on anti-vibration springs [J]. Engineering Failure Analysis, 2009, 16(5): 1366-78.

DOI: 10.1016/j.engfailanal.2008.09.005

[22] CHAMPY C, LE SAUX V, MARCO Y, et al. Fatigue of crystallizable rubber: Generation of a Haigh diagram over a wide range of positive load ratios [J]. International Journal of Fatigue, 2021, (150): 106313.

DOI: 10.1016/j.ijfatigue.2021.106313

[23] TEE Y L, LOO M S, ANDRIYANA A. Recent advances on fatigue of rubber after the literature survey by Mars and Fatemi in 2002 and 2004 [J]. International Journal of Fatigue, 2018, (110): 115-29.

DOI: 10.1016/j.ijfatigue.2018.01.007

[24] TOBAJAS R, ELDUQUE D, IBARZ E, et al. A New Multiparameter Model for Multiaxial Fatigue Life Prediction of Rubber Materials. J Polymers [J]. 2020, 12(5).

DOI: 10.3390/polym12051194