Snap-fits are often designed using guides that rely an classic beam theory
with the basic assumption that the beam undergoes small rotations and displ
acements. This is a poor assumption, for they typically experience both lar
ge rotations and displacements due to loading offset from the neutral axis
and axial loading. This paper investigates the performance of the post & do
me feature, establishes its nomenclature, and derives the equations needed
to intelligently design different variations of it. The post & dome feature
was selected for analysis because it is a high performance snap-fit that i
s self-datuming and can withstand some shear loading in addition to retenti
on. The design equations were generated in three steps. First, an experimen
tal array was created using a design of experiments approach. Finite elemen
t methods and multiple regression techniques were used in lieu of beam equa
tions models for each of the trials in the experimental array. Finally, res
ponse surface methods were used to develop response curves based on the per
formance data generated by the finite element models. Sensitivity data was
plotted for both the main effects and selected variable interactions. The t
raditional benchmarks for defining high performance snap-fits are retention
strength, insertion force, and insertion strain. This paper uses an expand
ed definition of these benchmarks that also includes locking ratio (the rat
io of retention force to insertion force).