CAE_AND_INNOVATION.pdf

1Seven steps to CAE Innovation Edward A. Ladzinski Worldwide IBM Analysis Simulation Leader November 1, 2006 2
Need to accurately determine the operating characteristics and performance of a design
Need to detect design problems earlier in the development cycle
Manual, error prone, and time consuming data and storage management
Inability to access reliable historical data
Cannot exploit all enterprise compute resources efficiently
Need to manage resources and workloads better
Need to integrate design and analysis processes and data
Need to automate simulation and analysis iterations
Security issues with sharing data and resources Challenges 3CPDA CAE Environment Prioritized Needs – Fall ‘05
93% of the respondents do not use any data management tool, but only file storage in a directory.
Up-front analysis is rated as the highest priority by 86% of the respondents, enabling the driving of design by analysis, or simulation- based design  Knowledge-based applications are already used by 29% of the companies  The most critical issue in making analysis work more efficiently is CAD and CAE data sharing.  Overall, the most time-consuming task is data preparation, which uses 38% of the available time, with 22% of the time spent on meshing, and 15% on idealization.  The most highly rated research topics to address relate to in-house process capture, and idealization processes.  The average level of parts re-use is 25%, and the average level of use for generic parts in product definition is 31%.  The most common validation method used is FEA (39%), followed by physical testing (31%). CPDA, CAE trends survey publication - Sept 2005 4As competition heats up in the automotive industry, product differentiation becomes crucial to growing market share. 2008 (est80 New Models 35% increase in 10 years Source: J.D. Powers and Associates Forecasting Division 311 272 231 This graphic shows the total number of light-vehicle models (car