Ihi Corporation

The University of Tokyo

Hiroyuki Hishida

Koichi Inagaki

Takeshi Nakamura

Hiromasa Suzuki

Yutaka Ohtake

Takashi Michikawa

Yukie Nagai

Fumiaki Watanabe

Kotaro Morioka

Yu Hasegawa

Hiroaki Hatanaka

Yuta Yamauchi

Suguru Kondo

Akinori Tsuda

Akiyoshi Sato

Shinji Muto

A material shape simulation apparatus for simulating deformation of a three-dimensional woven fiber material is provided and includes: an orientation vector field generation unit generating a model shape orientation vector field on three-dimensional meshes of a model shape of a three-dimensional woven fiber material obtained by stacking sheets of two-dimensional woven fabric made of X-yarn and Y-yarn and binding them with Z-yarn; a parameterization unit that searches for a gradient vector for calculating a material shape orientation vector field, being an orientation vector field of a material shape before deformation of the model shape, from the model shape orientation vector field; and an orientation vector updating unit that updates the model shape orientation vector field by applying a condition of preserving a volume between the model shape orientation vector field and the material shape orientation vector field and a condition that neither the X-yarn nor the Y-yarn expands or contracts.

Material shape simulation apparatus, material shape simulation method, and three-dimensional woven fiber component manufacturing method

A design support apparatus supporting designing of a product which uses a fiber material includes a processor that creates a predicted shape model by predicting a shape of the product before a deformation processing. The processor: creates a 3-dimensional shape model of the product; creates curved shape models by separating the 3-dimensional shape model into two or more fiber layers; sets a correspondence relationship between the curved shape models; creates an orientation vector field in the curved shape models; and predicts the shape of the product before the deformation processing by developing the curved shape models on a flat surface based on the correspondence relationship between the curved shape models and the orientation vector field in the curved shape models, and creates the predicted shape model based on the predicted shape.

Support apparatus, design support method, and program

A pair of electrodes is connected to a test specimen in order to apply an electric current to the test specimen in the direction of a conductive fiber of each conductive fiber woven fabric of a plurality of prepregs as targets for verification of the presence or absence of waviness, among a plurality of prepregs constituting the test specimen composed of a conductive composite material, and then a magnetic field sensor is relatively scanned over the test specimen, while applying an electric current between the pair of electrodes, to determine a portion of the test specimen where a magnetic field variation is detected by the scanning of the magnetic field sensor as a portion where waviness of the conductive fibers of the conductive fiber woven fabric of the plurality of prepregs as targets for verification of the presence or absence of waviness is present. Thus, it is possible to grasp, for example, the condition of fibers of the conductive composite material in the test specimen as a whole.

Fiber waviness detection method and apparatus for conductive composite materials

An image analysis apparatus, which analyzes orientations of fiber bundles of X-yarns and Y-yarns from a three-dimensional image of a woven fabric made of fiber bundles of the X-yarns, the Y-yarns, and Z-yarns, includes: a binarization unit that binarizes the three-dimensional image; an overlapping area extraction unit that extracts an overlapping area from the binarized image; a reference direction determination unit that averages an overlapping direction of each voxel included in the overlapping area and determines the averaged direction as a reference direction; a Z-yarn removal unit that removes the Z-yarns from the binarized image by applying a directional distance method on a reference plane perpendicular to the reference direction; and a fiber bundle orientation estimation unit that applies the directional distance method on the reference plane and estimates the orientations of the fiber bundles of the X-yarns and the Y-yarns based on a calculated directional distance.

Image analysis apparatus, image analysis method, and program

Proposed are an image analyzing apparatus and program in which the orientation of fiber bundles can be easily analyzed from a three-dimensional image of CMC. Provided is an image analyzing apparatus for analyzing an orientation of a fiber bundle from a three-dimensional image of a fiber-reinforced composite material, comprising an input unit which inputs the three-dimensional image, a binarization processing unit which binarizes the input three-dimensional image and acquires a binary image, an orientation estimation processing unit which estimates each orientation of foreground pixels in the binary image based on an orientation detection filter having a parameter for causing a shape of a detected cross section to have anisotropy, a center extraction processing unit which extracts center pixels showing a center of the fiber bundle from a foreground pixel group, in which the orientation thereof was estimated, based on the orientation detection filter, a fiber bundle connection processing unit which deems center pixels having a same or similar orientation to be a same fiber bundle with regard to the extracted center pixel group, and connects the center pixels indicating the same fiber bundle, and a meander determination processing unit which calculates a meandering amount of the connected center pixel group indicating the same fiber bundle.

Image analyzing apparatus and program

An image analyzing apparatus, a non-transitory computer readable medium storing a program, and a method are provided for extracting voids from a three-dimensional image of a fiber-reinforced composite material. The image analyzing apparatus includes a processor which executes image processing to the three-dimensional image. The processor binarizes the three-dimensional image and creates a binary image, transforms the binary image into a distance and creates a distance image, executes closing processing to the binary image by using the distance image, extracts voids from differences between images before and after the closing processing, among the extracted voids, classifies voids that are adjacent to a background voxel as open voids, and classifies voids that are not adjacent to a background voxel as closed voids, and executes opening processing to the open voids in order to eliminate fake voids.

Growing community of inventors

Koto-ku, Japan

Hiroyuki Hishida