Template:Stress-Strength Analysis in Design For Reliability: Difference between revisions

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===Stress-Strength Analysis in Design for Reliability===
#REDIRECT [[Stress-Strength_Analysis]]
 
As we know, the expected reliability is called from the following stress-strength calculation:
 
<center><math>R=P[Stress\le Strength]=\int_{0}^{\infty }{{{f}_{Stress}}(x)\cdot {{R}_{Strength}}(x)}dx</math></center>
 
The stress distribution is usually estimated from customer usage data, such as the mileage per year of a passenger car or the load distribution for a beam. The strength distribution, on the other hand, is affected by the material used in the component, the geometric dimensions and the manufacturing process.
 
Because the stress distribution can be estimated from customer usage data, we can assume that <math>{f}_{Stress} </math> is known. Therefore, for a given reliability goal, the strength distribution <math> {R}_{Strength}</math> is the only unknown in the given equation. The factors that affect the strength distribution can be adjusted to obtain a strength distribution that meets the reliability goal. The following example explains how to use Weibull++ to determine the parameters for a strength distribution that are required to meet a specified reliability goal.
 
'''Example 2:'''
{{Example: Stress-Strength Analysis for Determing Strength Distribution}}

Latest revision as of 06:47, 15 August 2012