A smart approach to design optimization

A 1 hour on-demand webinar highlighting benefits of Optimus with various MSC Software products

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MSC Software products enable engineers to validate product designs using virtual prototypes for linear and nonlinear finite element analysis (FEA), acoustics, fluid-structure interaction (FSI), multi-physics, optimization, fatigue and durability, multi-body dynamics, and control systems simulation.

Optimus is the industry-leading Process Integration and Design Optimization (PIDO) software platform, bundling a powerful range of capabilities for Design Space Exploration, Engineering Optimization and Robustness & Reliability to direct engineering simulations toward design candidates that outsmart competition while taking into account all relevant design constraints.

As an entirely open PIDO platform, Optimus provides the architecture to communicate with various MSC Software products, including Actran, Adams, Marc, MSC.Nastran and Simufact.

Join this webinar

to discover how easily Optimus integrates MSC Nastran, Adams, Actran, ... models into any design optimization process and how Optimus enables you to get the best value from your simulations.

Optimus integrates MSC Nastran, Adams and/or Actran models into a single workflow, and automatically recognizes all design parameters and system response variables.

By conducting Design of Experiments (DOE) and speeding up simulation throughput through parallel execution of experiments, Optimus accelerates the engineering simulation process.

Optimus' proven and robust DOE methods carefully plan a smart set of engineering experiments to deliver relevant insights and uncover hidden relations between inputs and outputs.

Optimus then builds high-fidelity Response Surface models, giving confidence that system response is accurately modeled in all design regions of interest.

Ultra-fast optimization on these models delivers a set of optimal solutions in no time, among which the engineering team can choose the best fit..

Optimus' multiobjective optimization algorithms deliver a set of Pareto-optimal solutions for any engineering problem that involves multiple, possibly conflicting, objectives.

Find out much more

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