Software enables non-experts to run analyses

21st February 2013

LMS International is introducing LMS Imagine.Lab Optimus. With the integration of Optimus, LMS Imagine.Lab Amesim gains new capabilities to capture and automate one-dimensional (1D) simulation processes that facilitate quick assessment of multiple design options.

This new optimisation module also enables design and engineering teams to automatically select the optimal design, taking into account multiple performance targets and Six Sigma criteria. LMS Imagine.Lab Amesim offers a complete 1D simulation platform to model and analyse multi-domain, intelligent systems and predict their multi-disciplinary performance.

LMS Imagine.Lab Optimus was developed in collaboration with Noesis Solutions, a subsidiary of LMS. Noesis Solutions specialises in developing systems for process integration and design optimisation.

Through the interactive interface in LMS Imagine.Lab Optimus, users can easily capture the different steps and parameter settings in their simulation process. Once captured, non-expert users can apply the complete process. A quick rerun of this process lets users explore multiple design alternatives, which translates into higher productivity.

LMS Imagine.Lab Optimus automatically explores a multitude of design alternatives using design-of-experiment and response surface modelling techniques. The full set of local, global and multi-objective optimisation methods adapted from the Noesis Optimus system enables users to identify the optimal design for multiple performance aspects. This avoids tedious trial-and-error loops while balancing optimal performance with strict quality requirements and Six Sigma criteria. Dedicated methodologies for robustness and reliability engineering make sure that the optimisation loop takes into account the inherent variability of LMS Imagine.Lab Amesim design input parameters. The integrated post-processing and data mining capabilities enable users to analyse complex phenomena with greater efficiency.

Willy Bakkers, vice president and general manager of the LMS CAE and Imagine divisions, comments: “To proactively engineer the functional performance of intelligent systems, manufacturers have to optimise the complex interaction between mechanical, fluids, thermal and electromechanical components and sub-systems. LMS Imagine.Lab Optimus helps development teams tackle the huge amount of design alternatives and discover the best compromise between performance and robustness."

LMS Imagine.Lab Optimus



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