Automotive and off-highway were the first industries forced by the mechatronics revolution to move their engineering practices out of habits rooted in 1950s-era product architectures, into 21st-century methods grounded in simulation-led, systems-driven product development. Today’s smart, connected, self-aware and situationally aware cars, trucks and agricultural and construction equipment—managed by ultra-sophisticated onboard mechatronic systems-of-systems—are almost as far advanced from earlier-generation mechanical devices governed by primitive electromechanical (if that) control systems as relativity and quantum mechanics were from the classical physics of Newton and Maxwell. Products of that complexity simply can’t be successfully developed, integrated and validated using last-century tools and methods that leave discovery and remediation of system-level design flaws until detail design or even, disastrously, delivery to market. Continue reading
Webinar: A Better Design with Model-Based Systems Engineering: Functional Verification using System-Level Modeling by Paul Goossens, Maplesoft, and Subodh A. Chaudhari, Phoenix Integration
Your Company Wants MBSE Tied to MBE Models. And Here’s Why by Tony Davenport
Most often applied to manufactured product development, design exploration and optimization also hold potential to improve—some would say, bring long-overdue transformation to—the engineering of constructed assets: commercial and residential buildings, discrete manufacturing facilities, process and power plants, offshore platforms. While some EPC firms serving process/power and offshore markets have made substantial progress with these tools and methods, the A/E industry still has far to go in tapping their considerable potential to improve building design and manufacturing facility engineering. With the mounting economic, environmental and public-policy pressures to deliver higher-performing built assets, we expect to see DOE, MDO, Pareto optimization and robustness/reliability optimization increasingly utilized by firms engaged in architecture, engineering, construction and asset operation. 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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Discussions of how to simulate early in product development fixate too often on FEA, overlooking the power of systems modeling and 0D/1D simulation for studying, exploring and optimizing designs at the beginning of projects, when product geometry is seldom available for 3D CAE but engineering decision-making can have its greatest impact and leverage on project success. Continue reading
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