Optimization was a theme running throughout the 2015 Automotive Simulation World Congress organized by ANSYS last week in Detroit. We attended sessions on topology, structural, aerodynamic, adjoint, multi-objective and multidisciplinary optimization that ranged across all the conference tracks—Powertrain, Body & Interior, Chassis, Electrification & Electronics. Continue reading
A timeline of company formations, product launches and M&A activity among design exploration and optimization software vendors maps the pace and direction of the industry’s development.
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If you use design space exploration software, we invite you to take our five-minute survey of satisfaction with your software and vendor, and the benefits you’re realizing, via one of the links below. In return you’ll receive a report of the findings that will let you benchmark your experiences against those of your peers and competitors. Your participation and responses are strictly confidential. Findings will be discussed in aggregate only; no information about individual responses will be released. This survey is our own undertaking and is not commissioned by, nor executed in cooperation with, any software vendor or other party.
To take the survey, click the link for the software you use. If you use more than one brand, take the survey for each brand you use. If you don’t see your software here, click the Other brand link and write in your brand where the survey asks for it. We value your input and look forward to sharing the findings with you.
- Altair HyperStudy
- ANSYS DesignXplorer
- DS SIMULIA Isight
- ESTECO modeFRONTIER
- LMS Virtual.Lab Optimization
- MSC Nastran Multi-run & Design Space Exploration
- Noesis Solutions Optimus
- Phoenix Integration ModelCenter
- PTC Creo Behavioral Modeling Extension
- Red Cedar Technology HEEDS MDO
- VR&D VisualDOC
- Other brand
Design space exploration is both a class of quantitative methods and a category of software tools for systematically and automatically exploring very large numbers of design alternatives and identifying those with the most optimal performance parameters. The mathematical techniques that underpin design space exploration have been long known—and sometimes applied, in cases where the attendant costs in expertise, time and labor could be justified. What’s changing now is the way fresh software technologies are at last converting these powerful but formerly difficult-to-use methods into practical everyday engineering aids. Continue reading
Automating the search for solutions to engineering problems can take either of two broad approaches: design exploration or design optimization. Practitioners making technology choices need to understand which tools do one, which do the other, and which approach best fits their needs. A global roster of commercially available design exploration and optimization software appears at the end of this post. Continue reading