ARRID: ANN-based Rotordynamics for Robust and Integrated Design

TL;DR

ARRID introduces an ANN-based surrogate model for rapid rotordynamics evaluation, enabling designers to quickly assess performance and manufacturing deviations early in the design process, significantly speeding up computations.

Contribution

The paper presents a novel ANN-based software tool that accelerates rotordynamics analysis by three orders of magnitude, integrating it into a web application for practical design use.

Findings

Speeds up rotordynamics evaluation by 1000x

Allows real-time manipulation of design parameters

Incorporates manufacturing deviations into analysis

Abstract

The purpose of this study is to introduce ANN-based software for the fast evaluation of rotordynamics in the context of robust and integrated design. It is based on a surrogate model made of ensembles of artificial neural networks running in a Bokeh web application. The use of a surrogate model has sped up the computation by three orders of magnitude compared to the current models. ARRID offers fast performance information, including the effect of manufacturing deviations. As such, it helps the designer to make optimal design choices early in the design process. The designer can manipulate the parameters of the design and the operating conditions to obtain performance information in a matter of seconds.