CIMdata PLM Industry Summary Online Archive
20 March 2008
Product News
LMS Introduces Imagine.Lab OPTIMUS
LMS International announced the introduction of LMS Imagine.Lab OPTIMUS. With the integration of OPTIMUS, LMS Imagine.Lab AMESim gains new capabilities to capture and automate 1D simulation processes which facilitates a quick assessment of a multitude of design options. The new optimization 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 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.
“To pro-actively engineer the functional performance of intelligent systems, manufacturers have to optimize the complex interaction between mechanical, fluids, thermal and electromechanical components and sub systems. LMS Imagine.Lab OPTIMUS supports development teams in tackling the huge amount of design alternatives and assists them in defining the best compromise between performance and robustness,” commented Willy Bakkers, Vice-President and General Manager of the LMS CAE and Imagine Division.
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