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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

How to optimize an external gear pump in highly constrained conditions

Meeting the engineering challenge of increasing efficiency while reducing costs

In this technical case study, EnginSoft assists Casappa to further refine an already-optimized standard series pump for an electrical motor and generator

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