LMS Imagine.Lab OPTIMUS for Analysis

By DE Editors

LMS International (Leuven, Belgium) announced LMS Imagine.Lab OPTIMUS. With the integration of OPTIMUS, LMS Imagine.Lab AMESim can capture and automate 1D simulation processes that facilitate a quick assessment of a multitude of design options.

The new optimization module 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 analyze multi-domain, intelligent systems and to predict their multi-disciplinary performance.

LMS Imagine.Lab OPTIMUS is developed in collaboration with Noesis Solution, a subsidiary of LMS. Noesis Solution specializes in developing solutions for process integration and design optimization.

Through the interactive interface in LMS Imagine.Lab OPTIMUS, users can capture the different steps and parameter settings of their simulation process. Once captured, non-expert users can apply the complete process without having to worry about “what to do when”. This allows a quick rerun of the process to explore multiple design alternatives.

LMS Imagine.Lab OPTIMUS automatically explores a multitude of design alternatives using design of experiment and response surface modeling techniques. The full set of local, global and multi-objective optimization methods from Noesis OPTIMUS allow 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 optimization loop takes into account the inherent variability of the LMS Imagine.Lab AMESim design input parameters. Integrated postprocessing and data mining capabilities enable users to analyze complex phenomena with greater efficiency.

For details, go to LMS International.

Sources: Press materials received from the company and additional information gleaned from the company’s website.