Noesis Optimus 10.15

Description

Noesis Optimus 10.15 Optimus Many product development engineers say time pressure is too high to keep product complexity and technology miniaturization under control. When designing a car, shaver, camera or mp3 player, you need to improve and balance so many performance characteristics, while reducing the product’s environmental impact. Despite the best parametric modeling and simulation tools, you may not meet the targeted product specifications or end up struggling with deadlines and budgets. Empower your experience The key element that’s missing is optimization, to gain deeper insight into the design space and trace the best design options that are mathematically feasible. Instead of spending months trying out design options manually, Optimus links up your software tools and orchestrates a high-performance parametric simulation campaign. Already within a few days, you can empower your experience by evaluating the best design candidates that Optimus has put forward. Design for real Design for real means you also consider the effects of production-related and other variations. If not properly addressed it may lead to unexpected system failure, resulting in a bad market reputation, high warranty expenditure and an overstaffed after-sales organization. Therefore, Optimus automatically runs robustness assessments on the best-performing design options, and allows you to pick a robust design of choice. After detailed verification of the ultimate design, it’s ready to be taken into production and brought to market. Optimus Functions Optimus is a Process Integration and Design Optimization software, which bundles a collection of design exploration and numerical optimization methods. Optimus_briks.png Optimus offers a complete Graphical User Interface and supports the latests operating system. The Optimus graphical User Interface contains a single main window that contains the menu bar, the toolbars, the workflow editor and the workspace tree. All functions necessary for you to capture and federate a simulation process, as well as initiate and monitor all the calculation methods available. The GUI is easy to learn and easy to use with toolbars, complete visualization of processes and methods. A complete visualization of the process is available, including all relevant data, connectivity of the process, simulation programs involved as well as all input and output parameters. OPTIMUS_Workflow.png The workflow engine captures the simulation workflows to automate their numerical simulation process. These simulation workflows integrate one or more simulation codes and are executed by the Optimus process integration software without any user intervention. A complete visualization of the process is available, including all relevant data, connectivity of the process, simulation programs involved an all input and output definitions. Optimus offers a very rich workflow execution mechanism from a step-by-step review to the deployment on a large computation cluster. The workflow engine determines all the dependencies and automatically defines the resulting workflow and engineering model dependencies in order to start execution. A workflow results in a set of tasks to be executed interactively or in batch. Plot_Link_Reframe2.png Once the simulation process is captured in an Optimus workflow, you are able to explore their design space by modifying selected input parameters and hunt for new designs that are more reliable with better functional performance. All calculations are based on the integrated simulation tools that are part of the Optimus workflows. The design optimization methods available in Optimus allow the following: Design space exploration, such as Design of Experiments (DOE) and Response Surface Modeling (RSM) Numerical optimization, based on gradient-based local algorithms or genetic global algorithms, both for single or multiple objectives with continuous and/or discrete design variables Robustness and reliability engineering, including methods to assess and optimize the variability of design outputs based on variable design inputs.

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