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Multiobjective optimization of a bicycle frame component

An on-demand webinar that highlights how to improve your product designs using Optimus with ANSYS Workbench.

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What we'll show you during this webinar

During this webinar we will show how a 3D printed wishbone of a bicycle frame can be optimized to maximize the torsional stiffness, vertical compliance and cost of the whole frame:

  • Using Optimus' drag-and-drop process editor and its wide range of third party interfaces, we will illustrate how to set up an automated engineering process that involves SOLIDWORKS for CAD, ANSYS Workbench for mechanical analysis and Python scripting for cost estimation. 

  • We will then explain how to simplify the decision process using Optimus Design of Experiments to identify the design parameters that have the highest impact on the design objectives and constraints. 

  • Using our newest Surrogate Modeling techniques, we will show you how validated Response Surface Models enable extremely fast Multiobjective Optimization - in no time delivering a set of Pareto-optimal designs among which the engineering team can choose the solution that best fits the product requirements.

Looking for more in-depth information?

ANSYS Workbench is used to set up a fully parameterized model that can easily be embedded in a repeatable Optimus simulation workflow along with SOLIDWORKS and Python scripts.

Optimus is used to set up an automated process that combines SOLIDWORKS, ANSYS Workbench and a Python scripting into a single workflow.

Optimus is used to conduct Design of Experiments, allowing for the use of highly effective DOE strategies and enabling parallel execution of virtual experiments.

Meta-models are built and validated - giving confidence that these models are well suited to perform ultra-fast engineering optimization.

Multiobjective optimization algorithms deliver a set of Pareto-optimal solutions, among which the engineering team can choose the best fit.

Thanks to a wide range of different visualization technologies, engineering teams get actionable insights and relevant decision metrics that maximize user productivity.

Find out much more

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