David
K. Misemer
Software,
Electronic and Mechanical Systems Laboratory
3M
dkmisemer@mmm.com
570
Vincent Hall
10:10 am
The
increasing sophistication of methods and software tools for
modeling and simulation enabled significant changes in the
way engineers approach design problems. The progress in development
of new simulation and analysis methods has resulted in a progression
of standard practices for using the tools. Our practice has
moved from discrete numerical experiments, to design optimization,
to design optimization with sensitivity analysis. In this
talk we describe a new standard practice for the the future:
design for robust performance. This practice differs from
optimal design in two significant ways. First one doesn't
seek the optimal design; rather, one seeks a good enough design.
Second, one seeks a design that is insensitive to variability
in conditions that affect performance.
Following
a brief discussion of general features of robust design, I
will give an example of robust design of a diffractive optical
element. The goal of this work was to provide a device to
create a uniform intensity profile from a non-uniform laser
beam. The added complication is that the shape of the laser
beam varies randomly over time. A constructive approach to
the design will be discussed as well as recent efforts to
find a solution using optimization.