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PNNL-13501 - Pacific Northwest National Laboratory

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Integrated Modeling and Simulation for Fabrication of Lightweight Structures<br />

David A. Thurman, Kenneth I. Johnson, Kristine M. Terrones, Deborah K. Gracio<br />

Study Control Number: PN99031/1359<br />

The next generation of vehicles (cars and trucks) will be made of lighter weight materials than todays vehicle. This<br />

project provides DOE with an opportunity to develop an integrated modeling and simulation environment for<br />

manufacturing of lightweight structures with minimum trial and error in process development and expand the ability to<br />

manufacture larger components with increasing complexities.<br />

Project Description<br />

This project developed modeling and simulation<br />

technologies for lightweight material manufacturing and<br />

performance assessment to provide the means for an<br />

integrated simulation capability. This effort provides<br />

software tools to ensure that data is passed accurately<br />

from one finite element simulation to the next so that the<br />

effects of the deformation history and material<br />

microstructural evolution of one process to another can be<br />

predicted. By employing a common data format for<br />

representing finite element results, developing data<br />

transformation tools to translate between commercial<br />

finite element codes and the common data format, and<br />

data pedigree representations to ensure that an accurate<br />

simulation history is kept, such a capability will have<br />

dramatic impact on the overall design and manufacturing<br />

process and enable the “all-digital mock-up” of<br />

manufacturing of lightweight materials.<br />

Introduction<br />

The automotive industry is interested in using larger<br />

components to build future cars. To cost-effectively<br />

utilize the performance attributes of aluminum products,<br />

designers are altering traditional design practices that<br />

historically have been used for steel components.<br />

Material producers and automotive companies have<br />

limited experience with making parts from lightweight<br />

materials that in turn will increase the trial and error in<br />

tool and process development.<br />

This research is focused on a problem experienced by<br />

engineers who use multiple commercial finite element<br />

analysis packages. The basic problem is that commercial<br />

finite element analysis products use proprietary file<br />

formats, and few are compatible with the others. As a<br />

result, engineers spend vast amounts of time massaging<br />

the output of one finite element analysis package to<br />

prepare the input deck for another. The primary goal of<br />

this project is to create the ability to perform sequential<br />

analyses so that information is passed between analyses<br />

while preserving the material history effects.<br />

Approach<br />

The activities on the project can be roughly grouped in the<br />

following four areas.<br />

Engineering Data Representation—Focused on the<br />

development of data translation tools, together with a<br />

common data format, to support the transfer of data<br />

among existing finite element codes at <strong>PNNL</strong>.<br />

Remeshing and Remapping Capability—Provided the<br />

capability to modify the mesh and map the results data<br />

onto the modified mesh between steps in multistep<br />

simulations is critical to the success of these efforts. To<br />

accomplish this, the NWGrid-based remeshing and<br />

remapping capability was integrated into the integrated<br />

modeling and simulation suite of tools by providing data<br />

transformation capabilities between the common data<br />

format and the NWGrid format.<br />

Data Pedigree Representation—Focused on defining<br />

what information should be stored in a data pedigree and<br />

how to collect and store such information when engineers<br />

are using commercial codes in distributed environments.<br />

In multistep simulation efforts, the accurate recording and<br />

retrieval of such information will enable scientists to<br />

facilitate the reuse of research results where relevant.<br />

High-Performance Computing—Explored issues<br />

associated with the use of high-performance computing<br />

environments to run larger and more complicated models<br />

more efficiently which is of great interest to scientists in<br />

this area.<br />

In addition, three test problems were defined to<br />

demonstrate the combined capabilities of these efforts.<br />

Design and Manufacturing Engineering 179

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