Mechatronic power transmission - Estimation models
Article REF: BM8026 V1

Mechatronic power transmission - Estimation models

Authors : Marc BUDINGER, Fabien HOSPITAL, Jonathan LISCOUET, Bernard MULTON, Jean-Charles MARE, Aurélien REYSSET

Publication date: April 10, 2013 | Lire en français

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Overview

ABSTRACT

This tool kit of models for engineers allows for the estimation of the main parameters useful for integration studies (mass, dimension), system simulation, calculation of operational limits and optimization of mechatronic power transmissions. For each category of component, the principal modeling hypothesis, scaling laws and similarity laws are presented. The main relationships are validated via a comparison with similar data of industrial components.

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AUTHORS

  • Marc BUDINGER: Associate Professor of Applied Physics - Doctorate in Electrical Engineering - Senior lecturer at INSA Toulouse

  • Fabien HOSPITAL: Associate Professor of Mechanics - Doctoral student at INSA Toulouse

  • Jonathan LISCOUET: ICAM engineer - Doctorate in Mechanical Engineering - Fly-by-wire integrator at Bombardier Aerospace

  • Bernard MULTON: Associate Professor of Electrical Engineering - Doctorate in Electrical Engineering - Professor at ENS Cachan (Brittany campus)

  • Jean-Charles MARE: Engineer INSA Toulouse - Doctorate in Mechanical Engineering - University Professor at INSA Toulouse

  • Aurélien REYSSET: Engineer INSA Toulouse - Doctoral student at INSA Toulouse

 INTRODUCTION

This article follows on from [BM 8 025] , which presents general information on estimation models, the main assumptions involved in scaling models, and examples of their use in an application case. The present article contains a set of models for each technology family, to serve as a "toolkit" from which engineers can draw or draw inspiration to create specific estimation models. In particular, this article deals with mechanical power transmission components, electromechanical converters and some hydraulic power transmission components. By associating these components, it is possible to reconstitute a large number of mechatronic power transmission architectures, in particular to form actuators or motorization systems.

Initially, the choice of definition parameters for each component will be justified. The aim is to minimize the number of input parameters as much as possible. They correspond to the parameters traditionally used to select components from catalogs. They are also those used to calculate all other parameters. They have a major influence on component design and will be linked to dimensions.

Secondly, the modeling assumptions will be clarified, particularly with regard to geometric similarity. Indeed, the assumption of geometric similarity cannot always be applied strictly to all the dimensions of a component: certain dimensions or design parameters may be assumed to be constant, or follow a specific evolution.

These modeling assumptions will be supplemented by the main design constraints and operational limits to give a complete model of the component. Design constraints link the component's dimensions to its definition parameters. Modeling assumptions about operational limits enable the operating domain to be estimated from the dimensions or definition parameters. For the sake of simplicity and to present a uniform approach, these different assumptions will be expressed by domains and will refer to the developments described in the article [BM 8 025] .

Tables summarize estimation models for parameters useful for simulations, integration studies (dimensions, mass) and component sizing and selection calculations...

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KEYWORDS

estimation models   |   scaling laws   |   similarity laws   |   mechanical power transmission   |   fluid power   |   electric motors

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