Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount

Ján Danko; Martin Bernáth; Ľuboš Magdolen; Tomáš Milesich; Juraj Dobrovolný

doi:10.2478/scjme-2024-0001

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Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount

Strojnícky časopis - Journal of Mechanical Engineering

Volume 74 (2024): Issue 1 (May 2024)

By: Ján Danko, Martin Bernáth, Ľuboš Magdolen, Tomáš Milesich and Juraj Dobrovolný

Open Access

|Jun 2024

Abstract

This paper deals with possibilities of utilizing neural networks in reduced order modelling. First section of the paper contains theory on reduced order models and their implementations. Following this, subsequent chapter contains methodology concept for obtaining sufficient amount of data and creating reduced order models as well as their evaluation process. Next section describes our findings and summarizes them. Conclusion describes further steps we plan to take in this research.

References

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Articles in this issue

DOI: https://doi.org/10.2478/scjme-2024-0001 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472

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Language: English

Page range: 1 - 8

Published on: Jun 1, 2024

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

reduced order model,

neural network,

multilayer perceptron,

proper orthogonal decomposition,

rubber mount

Related subjects:

Engineering,

Mechanical engineering,

Fundamentals of mechanical engineering,

Mechanics

© 2024 Ján Danko, Martin Bernáth, Ľuboš Magdolen, Tomáš Milesich, Juraj Dobrovolný, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 74 (2024): Issue 1 (May 2024)