MapleSim Explorer, part of Maplesoft’s recently released MapleSim 2017 system-level modeling software, is a new “cost-effective deployment solution” that enables product development organizations to “make the knowledge embedded in their MapleSim models available to more people,” the company says. MapleSim Explorer “powers informed decision making throughout the organization” by helping systems modeling leads within engineering organizations “make the knowledge embedded in their MapleSim models available to other engineers to support informed decision making.” Continue reading
Maplesoft’s just-released MapleMBSE, designed to help engineers create, maintain and validate product requirements efficiently and with fewer errors, is a technological breakthrough that for the first time lets engineering organizations adopt a model-based systems engineering (MBSE) approach to requirements management without forcing every engineer on the project to be an expert in complex MBSE tools.
Using an Excel-based interface, MapleMBSE makes collaboration on requirements accessible to all project stakeholders, not just the MBSE tool experts, and provides streamlined interfaces for each task in the MBSE project. This enables and fosters system-wide collaboration on the project, while slashing the time and errors almost always associated with conventional, complex MBSE tool usage. Continue reading
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
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