|
|
|
   
|
||||||
|
|
2006-12-10 News Release
Virtual software for plastics injection molding trials Now available online is the new neural network simulation and calculation tool called DPP for plastics injection molded parts and tooling.
As a raw materials supplier, Bayer MaterialScience AG also regards itself
as a solution provider driving innovations in materials, technologies
and processes, either on its own or in cooperation with customers. The
most recent example of this is a new simulation and calculation tool called
DPP (Design & Processing Properties). It has been developed by the
company's specialists for plastics injection molded parts and tooling,
and was recently made available to customers online.
DPP is divided into several modules. With the design module, the mechanical characteristics of the thermoplastic under consideration can be determined under service conditions. It supplies stress-strain curves and secant modules, gives the loading limits and plots the influence of temperature. "For the first time, it is also possible to show the directional dependence of the mechanical properties over the entire part," says Zollner. With the processing module, it is possible to establish how a specific design can best be injection molded. It calculates key processing parameters such as the filling pressure at various melt temperatures, the metering time as a function of screw speed and the level of shrinkage during processing. The rheological module provides information on the melt viscosity as a function of shear rate and melt temperature. The mechanical module refines the data obtained in the design module and analyzes their dependency on processing and the geometry of the part. For wall thicknesses between 1.5 and 4 mm and for the selected process conditions, it performs virtual tensile tests and supplies the results in the form of a stress-strain diagram. In the fifth module, the virtual lab, the DPP user can use predefined data to search for a suitable thermoplastic for an intended application. The new software functions on the basis of a neural network. In simplified form, this imitates the processing of data by neurons in the human brain. The artificial neurons receive information from their neighbors, evaluate it and then decide which data to pass on to where. If a piece of information is entered into a network of this kind, it is processed into a result that can be read out on the "output neurons". So that this functions, the neurons and their links to each other must be programmed beforehand, namely with "specimen examples", for which the input data and results are known. With DPP, this happens all the time, among other things with a wealth of material data and processing data. DPP is installed on a central server at Bayer MaterialScience. Further
information on the conditions of use and online instructions on how to
use it can be found at (www.plastics.bayer.com/plastics/emea/de/dpp/index.jsp).
After registering and being issued with a password, customers can interactively
access the software from their PC with a locally installed Web client
via a direct Internet connection.
Click here to view more news headlines. E-mail this page to a friend
|
|
News / Resources - Plastics bodywork parts using film insert molding - Certification, Training and Courses from The American Management Association - Small Quantity Specailist - Plastics, Metals, Tool Steel and ... - Looking for a Study Program? - All this Months News - Changing Jobs? View Homes for Sale Nationwide - Golf Equipment Manufacturer -Buy direct and Save! - Maybe it's time to check your Home Owners Insurance Copyright
- Unless otherwise
stated all contents of this web site are © 1998/2006 JOBWERX.COM.
|
|
