Parametric Study Toward Achieving an Optimal Magnetorheological Mount: a Finite Element Approach - Mohammad Elahinia - Livros - LAP LAMBERT Academic Publishing - 9783848427369 - 30 de abril de 2012
Caso a capa e o título não sejam correspondentes, considere o título como correto

Parametric Study Toward Achieving an Optimal Magnetorheological Mount: a Finite Element Approach

Preço
€ 42,99

Item sob encomenda (no estoque do fornecedor)

Data prevista de entrega 26 de nov - 4 de dez
Presentes de Natal podem ser trocados até 31 de janeiro
Receba avisos sobre novos lançamentos de Mohammad Elahinia
Adicione à sua lista de desejos do iMusic

Ainda não avaliado

Hybrid vehicles have been developed to increase the fuel economy of existing vehicles. A common issue in hybrid vehicles is the additional vibration and vibration-caused noise. This vibration is primarily caused by the switching of power modes, i.e. from the conventional gasoline engine to the electric or hydraulic motor. In certain cases, this vibration, due to the wide frequency range characteristics, cannot effectively be isolated through the use of conventional isolation technologies. In this work, a mixed mode magnetorheological mount has been investigated to mitigate this and similar wide-frequency vibration. A parametric analysis has been performed on one of the main components of the mount, the elastomeric top. Three different parameters were the focus of this investigation. The rubber thickness (by two means) and height were studied. It was found that varying the mount diameter (thickness) is the most influential parameter that was investigated. The initial analyses to validate the finite element model showed at most a ~5% difference. The results of this study will be instrumental for designing and optimizing different mounts.

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 30 de abril de 2012
ISBN13 9783848427369
Editoras LAP LAMBERT Academic Publishing
Páginas 92
Dimensões 150 × 6 × 226 mm   ·   155 g
Idioma Alemão  

Mais por Mohammad Elahinia