We provide a case study for the generation of pure hexahedral meshes for th
e numerical simulation of physiological stress scenarios of the human mandi
ble. Due to its complex and very detailed free-form, geometry, the mandible
model is very demanding. This test case is used as a running example to de
monstrate the applicability of a combinatorial approach for the generation
of hexahedral meshes by means of successive dual cycle eliminations, which
has been proposed by the second author in previous work. We report on the p
rogress and recent advances of the cycle elimination scheme. The given inpu
t data, a surface triangulation obtained from computed tomography data, req
uires a substantial mesh reduction and a suitable conversion into a quadril
ateral surface mesh as a first step, for which we use mesh clustering and b
-matching techniques. Several strategies for improved cycle elimination ord
ers are proposed. They lead to a significant reduction in the mesh size and
a better structural quality. Based on the resulting combinatorial meshes,
gradient-based optimized smoothing with the condition number of the Jacobia
n matrix as objective together with mesh untangling techniques yielded embe
ddings of a satisfactory quality. To test our hexahedral meshes for the man
dible model within an FEM simulation we used the scenario of a bite on a 'h
ard nut.' Our simulation results are in good agreement with observations fr
om biomechanical experiments.