Other

Otis Elevator Company

Heng-Yi Lai

Brad Guilani

Patricia Derwinski

Mark E Marler

Jonathan H Alexander

Charles C Coffin

John Stuart Bolton

Srinivas Katragadda

A sound absorbing light fixture ( ) installed in a surface system, such as an elevator ceiling system ( ), of an enclosed interior, such as the interior ( ) of an elevator cab ( ) is presented. The light fixture ( ) comprises a frame ( ) disposed in fixed relationship to the surface system, the frame ( ) having an interior rear surface and interior side surfaces extending outwardly from the rear surface to define a cavity ( ). A light source ( ) is supported by the frame ( ) within the cavity ( ). Additionally, a light diffuser ( ) is disposed in fixed relationship to a front portion of the frame ( ) between the light source ( ) and the enclosed interior. The installed light fixture ( ) enhances a sound absorption coefficient, e.g., above 0.6, of the surface system for a predetermined frequency range of sound energy, e.g., 300-600 Hz.

Sound absorbing light fixture

A computer controlled method for predicting acoustical properties for a generally homogeneous porous material includes providing at least one prediction model for determining one or more acoustical properties of homogeneous porous materials, providing a selected prediction model for use in predicting acoustical properties for the generally homogeneous porous material, and providing an input set of at least microstructural parameters corresponding to the selection model. One or more macroscopic properties for the homogeneous porous material are determined based on the input set of the microstructural parameters and acoustical properties for the homogeneous porous material are generated as a function of the one or more macroscopic properties and the selected prediction model. Such a prediction method may be used to predict acoustical properties for a generally homogeneous limp fibrous material with use of a flow resistivity model for predicting flow resistivity of homogeneous limp fibrous materials based on an input set of microstructural parameters. Another computer controlled method for predicting acoustical properties of multiple component acoustical systems is provided which uses a transfer matrix process for determining acoustical properties of the system based at least in part on microstructural inputs provided for one or more components of the acoustical system.

Prediction and optimization method for homogeneous porous material and accoustical systems

Growing community of inventors

Vernon, CT, United States of America

Heng-Yi Lai