23.06.2013 Views

HyperWorks 12.0 Release Notes

HyperWorks 12.0 Release Notes

HyperWorks 12.0 Release Notes

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• Significant UI Redesign<br />

• General Enhancements and New Features<br />

• Extended Post Processing<br />

• Connections<br />

• New and Improved Methods<br />

Contents<br />

<strong>12.0</strong> Introduction<br />

11.0.101 <strong>Release</strong> <strong>Notes</strong><br />

File Export Options<br />

Evaluation of Main Effects<br />

BackgroundMode Option<br />

Labels<br />

Resolved Issues<br />

Highlights of the<br />

HyperStudy <strong>12.0</strong> <strong>Release</strong><br />

HyperStudy enables users to explore, understand and improve their system designs using methods such<br />

as design-of-experiments and optimization. HyperStudy generates intelligent variations of the parameters<br />

of any system model and reveals relationships between these parameters and the system responses.<br />

Using HyperStudy, users can make better decisions and optimize the performance, reliability and<br />

robustness of their systems.<br />

<strong>HyperWorks</strong> <strong>12.0</strong> introduces an enhanced and updated version of HyperStudy. The new version of<br />

HyperStudy merges the strengths of the classic HyperStudy along with new simulation technology and an<br />

improved user experience.<br />

• The improved Study Explorer guides you through the study process, following the steps a typical<br />

engineer goes through to evaluate a design. You are asked to identify inputs and outputs, and then<br />

specify what you want to learn about the design under investigation, such as optimal values, tradeoff<br />

options, or directional guidance.<br />

• Entering, monitoring and reviewing data has been simplified through the use of tables. Tables<br />

provide convenient features such as sorting, cutting and pasting, and filtering to help you<br />

manipulate and understand your models and results better.<br />

• Study sessions are still saved to an .xml file and new in <strong>12.0</strong>, the “DataSet” for each approach<br />

in the study is now stored in a self-contained and open relational database. This storage method<br />

facilitates faster I/O and more flexible post-processing.<br />

• The study directory structure has been updated for consistency and allows for easier automation.

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