Generalized Light-Weight Concepts: A New Insulator 3D Optimization Procedure

Duval, Arnaud; Rondeau, Jean-François; Dejaeger, Ludovic; Lhuillier, Francis; Monet-Descombey, Julien

doi:10.4271/2013-01-1947

Cited by 13 publications

(2 citation statements)

References 5 publications

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“…In all of well-known automotive insulation solutions such as mass spring system or Light-Weight Concept (LWC: 3 layers, absorber + barrier + decoupler), the foam layer in contact with the body in white is used as a decoupler [36]. This section will focus on this decoupling function optimization.…”

Section: Microstructural Optimizations and Sound Insulating Propertiesmentioning

confidence: 99%

An Overview of Microstructural Approaches for Modelling and Improving Sound Proofing Properties of Cellular Foams: Developments and Prospects

Perrot

Hoang

Chevillotte³

2018

SAE Technical Paper Series

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Significant advances have been made over the last 15 years in the field of modelling the acoustic properties of foams from the description of their microstructures. It entails a multidisciplinary work at the junction between physico-chemistry and mechanics of porous media, which involves a dialogue between different disciplines and requires the joint development of several techniques (imaging, upscaling, numerical computations, and experimental identification). It seems to be of timely interest to take stock of the methodological developments that have provided guidance on how to manufacture the new generation of foams with enhanced properties and to identify possible future methodological developments.

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Section: Microstructural Optimizations and Sound Insulating Propertiesmentioning

confidence: 99%

An Overview of Microstructural Approaches for Modelling and Improving Sound Proofing Properties of Cellular Foams: Developments and Prospects

Perrot

Hoang

Chevillotte³

2018

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

“…Notwithstanding its sometimes crude approximations and inherent limitations, this makes the TMM a very convenient method to predict trends and qualitative results. It is therefore often used in the industrial practice [118,119].…”

Section: Applicationsmentioning

confidence: 99%