Hyundai Motor Company

Kia Corporation

Kia Motors Corporation

Nvh Korea, Inc.

Hado Fnc Co., Ltd.

Piusys Co., Ltd.

Samsung Electronics Co., Ltd.

Seoul National University

Yong San Co., Ltd.

Iksung Co., Ltd.

Gh Advanced Materials Inc.

Seong Je Kim

Jung Wook Lee

Ji Wan Kim

Keun Young Kim

Tae Yoon Kim

Young Su Kim

Jong Hyun Ryu

Jong Eun Ha

Myung Sik Lee

Jin Hyung Lee

Se Hoon Kim

Dae Yong Kim

Min Seo Wu

Dong Uk Lee

Sang Hoon Lee

Won Jin Seo

Kie Youn Jeong

Bong Hyun Park

Oh Deok Kwon

Jong Hyuk Cha

Je Hyun Lee

Jeong Hoon Ko

Yeon June Kang

Sung Soo Yang

Jong Wook Jeon

Seong Ryeol Kim

Hee Koo Woo

Hyeong Rae Lee

Mu Jin Kim

Jae Sam Kim

A composite fiber web having superior heat resistance and sound absorption and including a center layer containing a carbon fiber and a heat-resistant layer, and to a method of manufacturing the same. The method of the present invention can exhibit a fast manufacturing speed through a melt-blowing process that will generate economic benefits. The composite fiber web includes a composite layer and individual layers with various fiber diameters resulting in a superior sound absorption rate. The PET fiber included in the heat-resistant layer of the composite layer is an environmentally friendly material with superior heat resistance due to the inclusion of ultrafine fiber. Also, the composite fiber web has superior strength, conductivity, and electromagnetic shielding and deodorization effects, which allows it to be widely utilized for sound absorption materials and in all application fields thereof.

Composite fiber web having superior heat resistance and sound absorption and method of manufacturing same

Disclosed are a polyurethane foam composition for sound-absorbing materials, a method for manufacturing a polyurethane foam and a polyurethane foam manufactured using the method. Particularly, disclosed are a composition containing a polyol mixture including a polyol and an additive, and isocyanate, and the manufacture of a low-density polyurethane foam for sound-absorbing materials, which is imparted with improved appearance formability, reduced smell and enhanced sound absorption performance by controlling the content of the composition and the conditions for foaming the composition.

Low-density polyurethane foam composition as sound-absorbing material having improved appearance formability, smell reduction and sound absorption performance, method for manufacturing polyurethane foam and polyurethane foam manufactured therefrom

Disclosed are an undercover for vehicles with high elasticity and rigidity and a method of manufacturing the same. The undercover for vehicles with high elasticity and rigidity may include a needle-punched nonwoven fabric having a multi-layer structure of felt layers including a first PET fiber and a low-melting-point PET fiber, and each of the felt layers may have improved tensile strength and have optimized fiber alignment, to thereby improve the binding between fibers, mechanical rigidity and elasticity, as well as to reduce the weight of components, improve durability and secure harmlessness and inline workability.

Undercover for vehicles having high elasticity and rigidity and method for manufacturing the same

An embodiment sound-absorbing material including a surface layer including low-melting (LM) fibers and melt-blown (MB) fibers and a sound-absorbing layer disposed on at least one side of the surface layer. An embodiment method of manufacturing a sound-absorbing material includes spinning melt-blown (MB) fibers, manufacturing a surface layer by mixing the melt-blown (MB) fibers with low-melting (LM) fibers, laminating a sound-absorbing layer on the surface layer, and hot-pressing a surface layer/sound-absorbing layer in which the sound-absorbing layer is laminated on the surface layer.

Light and thin sound-absorbing material and method of manufacturing same

An external material for vehicles may include a non-woven fabric having a honeycomb structure and a wheel guard including the same.

Exterior material for vehicles having honeycomb structure and wheel guard including same

The present invention relates to a method for predicting physical properties of an amorphous porous material which may predict an acoustic physical property value and an absorption coefficient from parameters of an amorphous porous material, and may estimate the acoustic characteristics with the amorphous porous material which is an amorphous specimen even without separately producing a formalized specimen such as a cylindrical specimen or a flat specimen. Further, the method for predicting physical properties of the amorphous porous material may estimate the acoustic physical properties through the analysis of a three-dimensional pore connection structure, which is a microstructure of an amorphous specimen, even without acoustic impedance, thereby estimating the acoustic physical properties which accurately reflect the characteristics of the actual specimen.

Method for predicting physical properties of amorphous porous material

Disclosed are a fiber for a sound-absorbing material for vehicles and a sound-absorbing material for vehicles including the same. The cross-section of the fiber for a sound-absorbing material includes a first end portion, a second end portion spaced apart from the first end portion, and an intermediate portion connected to the first end portion and the second end portion. The intermediate portion includes at least three bent portions. Each of the first end portion and the second end portion has a width larger than the width of the intermediate portion.

Fiber for sound-absorbing material for vehicles and sound-absorbing material for vehicles including the same

A yield prediction apparatus is provided. The yield prediction apparatus may include at least one processor coupled to at least one non-transitory computer-readable medium. The at least one processor may be configured to receive a first variable associated with operating characteristics of a semiconductor device, perform a simulation for the operating characteristics of the semiconductor device, perform a neural network regression analysis using a result of the simulation to determine a first function for the first variable, and predict a yield of the semiconductor integrated circuit based on an advanced Monte Carlo simulation. An input of the advanced Monte Carlo simulation may include the determined first function.

Apparatus for predicting yield of semiconductor integrated circuit and method for manufacturing semiconductor device using the same

An apparatus for blending a polyethylene terephthalate (PET) and a kapok fiber using static electricity is provided, along with a method for blending the PET fiber and the kapok fiber using the apparatus. The fiber blending apparatus includes a fiber blending chamber having an inlet in which the PET fiber and the kapok fiber are introduced and an outlet from which a nonwoven fabric is discharged. A discharge plate is positioned at an upper side and a lower side based on a center line passing through the center of a cross section of the fiber blending chamber to accumulate the static electricity. The PET fiber and the kapok fiber contacting the discharge plate are electrically charged and are thus uniformly distributed and blended around the center line and stacked around an outlet.

Apparatus for blending polyethylene terephthalate fiber and kapok fiber using static electricity and method for blending polyethylene terephthalate fiber and kapok fiber using it

Growing community of inventors

Jeollanam-do, South Korea

Seong Je Kim