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Autumn 2022 | Product peek

Analyse design space data easily with Multivariate Clustering techniques for efficient decision making

by Mauro Munerato, Alessandro Viola | ESTECO
Futurities Year 19 n°3, Autumn 2022

When dealing with enormous amounts of data, analysing them is a challenging task. Clustering techniques come in handy for such data analyses.

Multivariate Analysis (MVA) refers to statistical techniques used to analyse datasets with a lot of variables to consequently identify patterns. It allows you to better understand the design space and the relationships between the variables before formulating the optimization study, making the process more efficient.

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CASE STUDY

Development and optimization of crash brackets for ECE R29 regulation compliance

IVECO uses modeFRONTIER to simulate results to pass type-approval tests

This paper presents the main steps taken in the development phase of the IVECO cab suspension brackets to comply with the new ECE R29 crash regulation for Heavy Commercial Vehicles (HVC).

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