Abstract: Trial manufacturing condition proposing system includes a characteristic evaluation data preprocessing unit, a feature value selection processing unit, a regression model creation processing unit, and a trial manufacturing condition proposing processing unit. The characteristic evaluation data preprocessing unit applies preprocessing to the characteristic evaluation data indicating an evaluation result of characteristics of the material. The feature value selection processing unit executes feature value selection processing on the characteristic evaluation data to which the preprocessing has been applied. The regression model creation processing unit executes regression model creation processing on the characteristic evaluation data, to which the preprocessing has been applied, based on the result of the feature value selection processing.

Abstract: 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 ? 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.

Abstract: 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.

Abstract: 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.

Abstract: In a porous body, a surface layer thickness Ts takes a relatively small value satisfying P?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 61) of the porous body. Here, P denotes a porosity [%] of the porous body, and 0%<P<100% and 0 ?m<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 plane 92 in which a straight-pore opening ratio becomes 98% or less for the first time and a surface-layer region end plane 93 in which the straight-pore opening ratio becomes 1% or less for the first time.

Abstract: Object information representing a honeycomb structure with a plurality of meshes is obtained, and an inner-wall-surface heat transfer coefficient hs, 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 hs is set (S200), and a dimensionless coordinate X* is derived on the basis of position information (X-coordinate) of the set mesh and fluid state information (S210). An inner-wall-surface dimensionless heat transfer coefficient Nus corresponding to the derived dimensionless coordinate X* is then derived on the basis of the inner-wall-surface dimensionless correspondence information (S220 to S250). The inner-wall-surface heat transfer coefficient hs in the mesh set as the derivation target is then derived on the basis of the derived inner-wall-surface dimensionless heat transfer coefficient Nus (S260).

Abstract: 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 ?t (step S130). 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 S130 to S150) and then derives post-transient-analysis distribution information that represents the accumulation distribution of the particulate layer at a later time point (step S160).

Abstract: First inner gas holes 134a and first outer gas holes 144a of a gas sensor are formed so that the following conditions are satisfied: a first-inner-hole count Nin?3, 0<an inner/outer hole count ratio Nr?0.5, and 0<an inner/outer hole-area ratio Ar?0.25, where the first-inner-hole count Nin represents the number of first inner gas holes 134a, a first-inner-hole average area Ain [mm2] represents (the total opening area of the first inner gas holes 134a)/(the first-inner-hole count Nin), a first-outer-hole count Nout represents the number of the first outer gas holes 144a, a first-outer-hole average area Aout represents (the total opening area of the first outer gas holes 144a)/(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.

Abstract: In a porous body, a surface layer thickness Ts takes a relatively small value satisfying P?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 61) of the porous body. Here, P denotes a porosity [%] of the porous body, and 0%<P<100% and 0 ?m<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 plane 92 in which a straight-pore opening ratio becomes 98% or less for the first time and a surface-layer region end plane 93 in which the straight-pore opening ratio becomes 1% or less for the first time.

Abstract: 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 ?t (step S130). 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 S130 to S150) and then derives post-transient-analysis distribution information that represents the accumulation distribution of the particulate layer at a later time point (step S160).

Abstract: Object information representing a honeycomb structure with a plurality of meshes is obtained, and an inner-wall-surface heat transfer coefficient hs, 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 hs is set (S200), and a dimensionless coordinate X* is derived on the basis of position information (X-coordinate) of the set mesh and fluid state information (S210). An inner-wall-surface dimensionless heat transfer coefficient Nus corresponding to the derived dimensionless coordinate X* is then derived on the basis of the inner-wall-surface dimensionless correspondence information (S220 to S250). The inner-wall-surface heat transfer coefficient hs in the mesh set as the derivation target is then derived on the basis of the derived inner-wall-surface dimensionless heat transfer coefficient Nus (S260).

Abstract: First inner gas holes 134a and first outer gas holes 144a of a gas sensor are formed so that the following conditions are satisfied: a first-inner-hole count Nin?3, 0<an inner/outer hole count ratio Nr?0.5, and 0<an inner/outer hole-area ratio Ar?0.25, where the first-inner-hole count Nin represents the number of first inner gas holes 134a, a first-inner-hole average area Ain [mm2] represents (the total opening area of the first inner gas holes 134a)/(the first-inner-hole count Nin), a first-outer-hole count Nout represents the number of the first outer gas holes 144a, a first-outer-hole average area Aout represents (the total opening area of the first outer gas holes 144a)/(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.

Abstract: The porous body satisfies at least one of the following three conditions; “the average value of multiple in-plane uniformity indices ?x is 0.6 or greater, and the spatial uniformity index ? is 0.6 or greater”, “the percentage of the total value of volume of low-flow-velocity curved surface solids as to the total value of volume of multiple virtual curved surface solids is 20% or less, and the percentage of the total value of volume of high-flow-velocity curved surface solids as to the total value of volume of multiple virtual curved surface solids is 10% or less”, and “the percentage of the total value of volume of mid-diameter curved surface solids as to the total value of volume of multiple virtual curved surface solids is 60% or more”.

Abstract: 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 ?x, spatial uniformity index ?, pressure drop P, flow-through velocity T, and equivalent diameter d, for example, and acceptability determination based on derived values thereof, is performed.

Abstract: Porous body data 60 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 (steps S230 through S320). 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 ?x, spatial uniformity index ?, pressure drop P, flow-through velocity T, and equivalent diameter d for example, and acceptability determination based on derived values thereof, is performed.