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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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modeFRONTIER

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modeFRONTIER provides a seamless coupling with third party engineering tools, enables the automation of the design simulation process, and facilitates analytic decision making.

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CASE STUDY

Powering the next generation of off-highway suspension design

Design process integration of an independent suspension axle for off-highway vehicles

This study presents the work undertaken by Dana Incorporated to develop a new independent suspension axle for an off-highway vehicle (OHV). This multi-disciplinary simulation activity combines improvements to the kinematic and dynamic performance of the suspension while also examining the constraints of the mechanical design and the hydraulic system, as well as the cost of the suspension.

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