stress concentration and fatigue
I have read some articles in this forum and i think it is a very good source to share knowledge.
I´m trying to do some fatigue estimation of manifolds under internal pressure.
The more i´m reading about fatigue life prediction the more question i have.
1.
 stresses and strains calculated linear elastically are concentrated at 
notches. In my model there are intersections of bores and therefore very
 sharp notches. I have learned that at such singularities there is no 
prediction of stress allowed or possible. 
Do i have to reduce this 
stresses with something like NEUBER´s rule when plasticity occurs (above
 yield)and if the stresses are not beyond yield can i thrust them ? or 
can i just fillet the notch ?
2. the material data i use are 
stress-cycles curves from uniaxial tension test on smooth specimen and 
at a stress ratio of R=-1 (fully reversed).
The stress ratio in my model is R=0 and the state of stress is not unaxial, how to handle this ?
3.
 i have read that there is several material data that can be compared 
with the stresses / strain in the model. I mean i can compare calculated
 stress with stress-cycles-curve or with strain-cycles-curve or even 
campare it with damage parameter curve (Pswt...smith, watson, topper) 
and so on.
Which one should i use ?
I have been struggling with exactly the same problem for some time 
and am grateful to this forum for teaching me a few things. You have 
indicated that you have a sharp corner at the intersection of two bores.
 In real world there are no abosolute sharp corners. Even if there was a
 sharp corner to begin with, as soon as the load is applied this corner 
will yield and develop some form of radius. However for preliminary 
analysis the first model can be simple and may not have all the fillets.
 When you look at the results of your preliminary analysis it will tell 
you if you have any significant stresses near a sharp corner. For such 
corners I nrmally start by using a fillet radius of 1/32. If you see 
high stresses as a result, it would indicate that the fillet radius 
needs to be increased. 
However after doing all of the above if 
you still see stresses higher than yield stress of the material, it is 
my impression that to get a real answer one has to go for nonlinear 
analysis using nonlinear material properties.
Neuber's rule is an
 empirical rule to estimate notch sensitivity of the material. However I
 have not found enough experimental evidence to know how reliable this 
rule is. It seems to me a little far fetched that a single formula can 
simulate the behaviour of whole range of materials and all types and 
shapes of notches. Is there any body out there who is using Neuber's 
rule in combination with FEA to evaluate fatigue?
I know that some of this information has been discussed in earlier threads. But some more information will be appreciated.
Before you do any fatigue analysis make sure you have a good life 
history of the part. This is the toughest part of fatigue analysis. If 
you want the part to survive 10,000 cycles but it is above yield the 
part will more than likely break before the 10,000 cycles. When I do 
fatigue I will use /ballvalve/stress/life analysis if the part is below yield. 
Stress life is usually used for below about 80 % yield and roughly 
10,000 cycles or more. If the part is beyond yield then strain life 
should be used. To my knowledge of SWT is roughly that it is the same as
 strain life but allows for a smoother transition between elastic and 
plastic zones. You will probably want to correct for R=0. Most 
predictive softwares for fatigue have several options. When you are just
 starting out with fatigue, the only way to get good results and find 
the best approach for the corrections is to put strain gages on the part
 and test it yourself. Also remember that the FEA model is for an ideal 
situation, it may already have the notch effect in the model but it does
 not have other corrections such as surface finish or surface treatment.
 Keep in mind that Max Principle stresses are used most often for 
fatigue analysis.
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