a French producer of polyamide, says it can improve materials' performance
predictions by 40 percent with a simulation technology called MMI that teams
enhanced property data with multi-scale modeling software.
The first major outcome of the approach is a pedal and
adjustable pedal module developed for the Citroen C5 by Trelleborg Automotive
Carbody, which is based in Sweden.
Weight of the pedal and module were cut 20 percent compared to metal without
"Previously design (with engineering resins) had to be based
on an âignorance coefficient' because previous mechanical experience was with
metals," FranÃ§ois Belet, Rhodia's global product manager for polyamide
(nylon) said in an interview with Design News. "This safety factor resulted in an over dimensioning."
The simulation technology targets improved prediction of
nylon 6/6 using glass reinforcements at levels of 30 percent and higher. There
are three important aspects to Rhodia's MMI, according to Olivier Moulinjeune,
the company's CAE global coordinator:
inputs. Rhodia has developed a database of strain rate curves for nylon
6/6 that provide more robust data than single point data for impact and
other tests offered by data services such as CAMPUS.
software supplied by e-Xstram Engineering combines the data from Rhodia
with glass fiber orientation distribution determined by Moldflow software.
This non-linear, semi-analytical approach analyzes the relationship of the
matrix resin with the glass fiber after injection molding, providing a
prediction of part behavior without reverse engineering molded parts.
evaluation. The Digimat-MF software works in conjunction with mechanical
calculation software, such as ANSYS or LS-Dyna. The digital collaboration
identifies the microstructrue changes that arise from stress, important
because of the nonlinear behavior of plastic.
The biggest new development is the availability of strain
rate data for polyamide 6/6. That database will be available to users of
Digimat MF through a special license from Rhodia, says Belet. So far the data
only exists for polyamide 6/6, but could be extended later to polyamide 6 or
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.