Effect of Rainflow Cycle Number on Fatigue Lifetime of an Arm of a Vehicle Suspension System
Abstract
Fatigue is considered as one of the main cause of
mechanical properties degradation of mechanical parts.
Reliabilities methods are appropriate for fatigue analysis using
uncertainties that exist in fatigue material or process parameters.
Current work aims the study of the effect of the Rainflow cycle
number on fatigue lifetime of an upper arm of the vehicle
suspension system. The major part of the fatigue damage induced
in suspension arm is caused by two main classes of parameters.
First parameter characterizes materials properties and a second
one describes equivalent force generated by road excitation and
passenger’s number. Therefore, representative sampling of
Young's modulus and equivalent loading are selected as input
parameters to conduct repetitive finite elements simulations by
Monte Carlo (MC) algorithm. Strain-life approach based on
Manson-coffin and Ramberg-Osgood equations is used in order
to determine fatigue lifetime of each combination of input
parameters. Thereafter, response surface is built according to
preselected performance function. A PYTHON script was
developed to automatize finite element simulations of the upper
arm according to a design of experiments. Preliminary results
show Rainflow primary cycles to have significant effect on
obtained cycle’s number to fracture. Load generated by
excitation road have a remarkable quasi-linear inversely
proportional effect on fatigue lifetime.
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