Ngk Insulators, Inc.

Shingo Sokawa

Satoshi Sakashita

Yukio Miyairi

Kenji Suzuki

Takayuki Sekiya

Mika Murakami

Yuichi Tajima

Naoki Yoshida

Yoshihiko Yamamura

Kazuya Mori

Hiroyuki Nagaoka

Rishun Kin

Kosuke Ujihara

Ayaka Sakai

Norihisa Fujie

Yosuke Okabe

Yuki Oka

Satoru Hashimoto

Yuichiro Watanabe

A sensor element includes an element body that contains a measurement-object gas flow section and a heat generation portion. The measurement-object gas flow section includes a main pump chamber, an auxiliary pump chamber, and a measurement chamber. A distance X1 in a left-right direction between a part of a first inner linear portion and a part of a second inner linear portion of the heat generation portion that overlap a main pump chamber projection region is equal to or more than ⅓ of a width Wp of the main pump chamber projection region in the left-right direction. A distance X2 in the left-right direction between a part of the first inner linear portion and a part of the second inner linear portion that overlap an auxiliary pump chamber projection region is equal to or more than 0.4 times the width Wp.

Sensor element and gas sensor

Method of identifying a valid flow path includes: performing fluid analysis of a porous body, which is ought to have inflow surface and outflow surface, based on structure data representing a 3-dimentional structure of the porous body to generate data indicating at least a pressure distribution of a fluid in a flow path in the porous body; and identifying a valid flow path that allows the fluid to flow from the inflow surface to the outflow surface based on a gradient of pressure values along a flow direction of the fluid in the flow path.

Method and apparatus for identifying valid or invalid flow path

In a porous body, a surface layer thickness Ts takes a relatively small value satisfying P&#x2265;0.54 Ts (formula (1)), the surface layer thickness Ts being derived by a microstructure analysis using the porous-body data that is prepared through three-dimensional scanning of a region including a surface (inflow plane) of the porous body. Here, P denotes a porosity [%] of the porous body, and 0%&#x3c;P&#x3c;100% and 0 &#x3bc;m&#x3c;Ts are assumed. The surface layer thickness Ts is derived as a distance in a thickness direction (X direction) between a surface-layer region start planein which a straight-pore opening ratio becomes 98% or less for the first time and a surface-layer region end planein which the straight-pore opening ratio becomes 1% or less for the first time.

Porous body, honeycomb filter, microstructure analysis method, program for same, and microstructure analyzer

Object information representing a honeycomb structure with a plurality of meshes is obtained, and an inner-wall-surface heat transfer coefficient h, i.e., a heat transfer coefficient between an inner wall surface of a cell and a fluid, is derived as follows. First, one of the meshes as a target for derivation of the inner-wall-surface heat transfer coefficient his set (S), and a dimensionless coordinate X* is derived on the basis of position information (X-coordinate) of the set mesh and fluid state information (S). An inner-wall-surface dimensionless heat transfer coefficient Nucorresponding to the derived dimensionless coordinate X* is then derived on the basis of the inner-wall-surface dimensionless correspondence information (Sto S). The inner-wall-surface heat transfer coefficient hin the mesh set as the derivation target is then derived on the basis of the derived inner-wall-surface dimensionless heat transfer coefficient Nu(S).

Method for analyzing honeycomb structure, and program and analysis device for the same

A CPU of an analysis apparatus performs a fluid analysis and derives transient distribution information that represents an accumulation distribution of a particulate layer on an inflow-side inner circumferential surface of a honeycomb structure at a time point after a short time interval &#x394;t (step S). The CPU then repeatedly performs a fluid analysis by taking into account the transient distribution information derived previous time to repeatedly derive transient distribution information (steps Sto S) and then derives post-transient-analysis distribution information that represents the accumulation distribution of the particulate layer at a later time point (step S).

Pressure loss analysis method, a non-transitory computer readable medium, and a pressure loss analysis apparatus for analyzing pressure loss in a honeycomb structure

First inner gas holesand first outer gas holesof a gas sensor are formed so that the following conditions are satisfied: a first-inner-hole count Nin&#x2267;3, 0&#x3c;an inner/outer hole count ratio Nr&#x2266;0.5, and 0&#x3c;an inner/outer hole-area ratio Ar&#x2266;0.25, where the first-inner-hole count Nin represents the number of first inner gas holes, a first-inner-hole average area Ain [mm] represents (the total opening area of the first inner gas holes)/(the first-inner-hole count Nin), a first-outer-hole count Nout represents the number of the first outer gas holes, a first-outer-hole average area Aout represents (the total opening area of the first outer gas holes)/(the first-outer-hole count Nout), the inner/outer hole count ratio Nr represents the first-inner-hole count Nin/the first-outer-hole count Nout, and the inner/outer hole-area ratio Ar represents the first-inner-hole average area Ain/the first-outer-hole average area Aout.

Gas sensor

Porous body data in which position information and type information are correlated is reference to take a curved surface solid including a parent virtual sphere and child virtual spheres as a virtual curved surface solid, and place multiple virtual curved surface solids so as to fill in space pixels with curved surface solid pixels occupied by virtual curved surface solids. Repeating this process, by placing multiple virtual curved surface solids within space in a porous body, the microstructure of the porous body is analyzed precisely. As for analysis, deriving of in-plane uniformity index &#x3b3;, spatial uniformity index &#x3b3;, pressure drop P, flow-through velocity T, and equivalent diameter d, for example, and acceptability determination based on derived values thereof, is performed.

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Anjyo, Japan

Shingo Sokawa