Simulation platform eases design optimisation
A
LMS International product story
Edited by the Engineeringtalk editorial team
Mar 25, 2008
Optimisation module allows users to to capture and automate 1D simulation processes, helping provide a quick assessment of a multitude of design options.
The latest addition to Imagine.Lab AMESim from LMS International, LMS Imagine.Lab Optimus provides the capability to capture and automate 1D simulation processes, helping provide a quick assessment of a multitude of design options.
The 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 multidomain, intelligent systems and to predict their multidisciplinary performance.
LMS Imagine.Lab Optimus has been developed in collaboration with Noesis Solution, a subsidiary of LMS.
Noesis Solution specialises in developing solutions 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 of their simulation process.
Once captured, nonexpert 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, translating 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 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 optimisation 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 analyse complex phenomena with greater efficiency.
"To proactively engineer the functional performance of intelligent systems, manufacturers have to optimise the complex interaction between mechanical, fluids, thermal and electromechanical components and subsystems", says Willy Bakkers, Vice-President and General Manager of the LMS CAE and Imagine Division.
"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".
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Contact LMS International
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LMS presents engine simulation software
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