1 research outputs found
Statistical process modelling for machining of inhomogeneous mineral subsoil
Because in the machining process of concrete tool wear and production
time are very cost sensitive factors the adaption of the tools to the particular machining
processes is of major interest.
We show how statistical methods can be used to model the influences of the process
parameters to the forces affecting the workpiece as well as the chip removal rate and
the wear rate of the used diamond. Based on these models a geometrical simulation
model can be derived which will help to predetermine optimal parameter settings
for specific situations.
As the machined materials are in general abrasive, usual discretized simulation
methods like Finite Elements Models can not be applied. Hence our approach is
another type of discretization namely subdividing both material and diamond grain
into their Delaunay tessellations and interpreting the resulting micropart connections
as predetermined breaking points. Then the process is iteratively simulated
and in each iteration the interesting entities are computed