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Analytical design and optimization of an automotive rubber bushing

Research Output: Contribution to journal Article Revisión por expertos

Acceso abierto

Métricas de publicación

Métricas

SciVal
FWCI
0.09
SciVal
Número de autores
5
SciVal
Citas
17
SciVal
Percentil de artículo
28

Resumen

The ride comfort, driving safety, and handling of the vehicle should be designed and tuned to achieve the expectations defined in the company's design. The ideal method of tuning the characteristics of the vehicle is to modify the bushings and mounts used in the chassis system. To deal with the noise, vibration and harshness on automobiles, elastomeric materials in mounts and bushings are determinant in the automotive components design, particularly those related to the suspension system. For most designs, stiffness is a key design parameter. Determination of stiffness is often necessary in order to ensure that excessive forces or deflections do not occur. Many companies use trial and error method to meet the requirements of stiffness curves. Optimization algorithms are an effective solution to this type of design problems. This paper presents a simulation-based methodology to design an automotive bushing with specific characteristic curves. Using an optimum design formulation, a mathematical model is proposed to design and then optimize structural parameters using a genetic algorithm. To validate the resulting data, a finite element analysis (FEA) is carried out with the optimized values. At the end, results between optimization, FEA, and characteristic curves are compared and discussed to establish the correlation among them.

Información de Publicación

Tipo de resultado

Research Output: Contribution to journal Article Revisión por expertos

Idioma original

English

Número de artículo

1873958

Revista (Volumen, Número de Edición)

Shock and Vibration (Volumen 2019)

Hitos de publicación

  • Published - 26/03/2019

Estado de publicación

Published - 26/03/2019

ISSN

1070-9622

Publication IDs

  • Scopus: 85064396916

Detalles de Financiación

-e authors thank Universidad de Monterrey and Università degli Studi di Modena e Reggio Emilia for their partial financial support to this research project.
FinanciadoresNúmeros de financiaciónUniversidad de Monterrey-
UNIMORE
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