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
Systems modeling, “systems thinking” and systems-driven engineering are topics often discussed by professionals engaged in the engineering of discretely manufactured products. But how many engineering organizations have succeeded in implementing a consistent, sustained culture of simulation-led engineering practices grounded in system-level physical modeling and simulation software technology? And how were they able to accomplish it? Continue reading
Discussions of how to bring simulation to bear starting in the early stages of product development have become commonplace today. Driving these discussions, we believe, is growing recognition that engineering design in general, and conceptual and preliminary engineering in particular, face unprecedented pressures to move beyond the intuition-based, guess-and-correct methods that have long dominated product development practices in discrete manufacturing. To continue meeting their enterprises’ strategic business imperatives, engineering organizations must move more deeply into applying all the capabilities for systematic, rational, rapid design development, exploration and optimization available from today’s simulation software technologies. Continue reading
Last week’s post surveyed the trend of integration between design exploration and optimization software and systems modeling and 0D/1D simulation tools. This week’s case study shows how the two technologies were used together in development of a new hybrid electric vehicle (HEV) to achieve the competing goals of improving fuel efficiency and meeting emissions targets.
Executive summary—A leading automotive OEM used Noesis Solutions’ Optimus design optimization and process integration software in conjunction with Maplesoft’s MapleSim multi-domain systems modeling and simulation tool in developing the HEV’s combined electric and combustion propulsion system. Optimus was used to automate the traditional guess-and-correct simulation-based design process, its optimization algorithms efficiently directing the system simulation campaign to identify the best HEV configurations. Using Optimus’ capabilities for design of experiments (DOE), response surface modeling (RSM) and multi-objective optimization (MOO), engineers improved fuel efficiency by 21% and traveling performance (legal emissions compliance) by 15%. With MapleSim providing HEV modeling and Optimus controlling simulation workflow execution, the design optimization was accomplished in just two weeks. 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