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Development of a methodology and tools for tolerances in vehicle electrification to meet future customer demand and ensure competitive advantage

EnginSoft and Metasystem develop design validation, verification methodology for highperformance on-board chargers for electric vehicles

Newsletter EnginSoft Year 16 n°1
By Enrico Boesso, EnginSoft | Gabriele Codeluppi, Metasystem
<p>EnginSoft and Metasystem develop design validation, verification methodology for highperformance on-board chargers for electric vehicles</p>

EnginSoft and Metasystem develop design validation, verification methodology for highperformance on-board chargers for electric vehicles

Abstract

On-board chargers (OBC) are one of the key components in the energy efficiency of electric vehicles.

They must meet various requirements relating to mechanics and to electro-mechanical integration. Tolerances are fundamental in meeting these requirements. However, the small dimensions and the amplifying effects typical of the propagation of tolerances require additional compliance verification steps.

This article describes how EnginSoft supported Metasystem in acquiring the know-how to satisfy future customer requests on the one hand, and to create projects that are as profitable as possible in terms of waste minimization, on the other hand.

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CETOL 6σ

The fully integrated 3D tolerance analysis software tool

The fully integrated 3D tolerance analysis software tool provides the invaluable insight needed to confidently release designs for manufacture and inform the selection of appropriate tolerances to achieve your variation goals efficiently.

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CASE STUDY

Rubber fatigue ≠ metal fatigue: what to do when linear superposition fails

This article presents the challenges of conducting fatigue analysis on rubber components due to their nonlinear behaviour, contrasting this with linear superposition methods used in metal fatigue analysis. Traditional linear methods are effective for linear materials, allowing for efficient stress-strain history generation through the scaling of finite element (FE) solutions based on input load histories. However, these methods fail for rubber because of its complex material properties and behaviours.

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