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Callister - An introduction - 8th edition

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258 • Chapter 8 / Failure<br />

Stress amplitude, S<br />

Fatigue<br />

limit<br />

Figure 8.19 Stress<br />

amplitude (S)<br />

versus logarithm of<br />

the number of<br />

cycles to fatigue<br />

failure (N) for<br />

(a) a material that<br />

displays a fatigue<br />

limit and (b) a<br />

material that does<br />

not display a<br />

fatigue limit.<br />

10 3 10 4 10 5 10 6 10 7 10 8 10 9 10 10<br />

Cycles to failure, N<br />

(logarithmic scale)<br />

(a)<br />

Stress amplitude, S<br />

S 1<br />

Fatigue strength<br />

at N 1 cycles<br />

10 3 10 4 Fatigue life 10 7 N 1 10 8 10 9 10 10<br />

at stress S 1<br />

Cycles to failure, N<br />

(logarithmic scale)<br />

(b)<br />

fatigue life<br />

<strong>An</strong>other important parameter that characterizes a material’s fatigue behavior<br />

is fatigue life N f . It is the number of cycles to cause failure at a specified stress level,<br />

as taken from the S–N plot (Figure 8.19b).<br />

Unfortunately, there always exists considerable scatter in fatigue data—that is,<br />

a variation in the measured N value for a number of specimens tested at the same<br />

stress level. This variation may lead to significant design uncertainties when fatigue<br />

life and/or fatigue limit (or strength) are being considered. The scatter in results is<br />

a consequence of the fatigue sensitivity to a number of test and material parameters<br />

that are impossible to control precisely. These parameters include specimen<br />

fabrication and surface preparation, metallurgical variables, specimen alignment in<br />

the apparatus, mean stress, and test frequency.<br />

Fatigue S–N curves similar to those shown in Figure 8.19 represent “best fit”<br />

curves that have been drawn through average-value data points. It is a little unsettling<br />

to realize that approximately one-half of the specimens tested actually failed<br />

at stress levels lying nearly 25% below the curve (as determined on the basis of<br />

statistical treatments).

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