公开(公告)号：US20240304365A1

公开(公告)日：2024-09-12

申请号：US18276245

申请日：2022-02-10

申请人： Proterial, Ltd.

发明人： Shinya OKAMOTO ,  Atsuhiko ONUMA ,  Nobuyuki OKAMURA ,  Kousuke KUWABARA ,  Shunya ADACHI ,  Masahiro SATO ,  Takahiro ISHII

IPC分类号： H01F1/055 ,  B22F9/08 ,  B22F10/28 ,  B22F10/64 ,  B33Y10/00 ,  B33Y40/20 ,  B33Y80/00 ,  C22C38/00 ,  C22C38/02 ,  C22C38/04 ,  C22C38/06 ,  C22C38/28 ,  C22C38/30

CPC分类号： H01F1/055 ,  B22F9/082 ,  B22F10/28 ,  B22F10/64 ,  B33Y10/00 ,  B33Y40/20 ,  B33Y80/00 ,  C22C38/001 ,  C22C38/002 ,  C22C38/02 ,  C22C38/04 ,  C22C38/06 ,  C22C38/28 ,  C22C38/30 ,  B22F2009/0824 ,  B22F2304/10 ,  B22F2998/10 ,  B22F2999/00 ,  C22C2202/02

摘要： The purpose of the present invention is to provide: an iron-chromium-cobalt alloy magnet having improved magnetic characteristics, especially maximum energy product; and a method for producing the same. Provided is an iron-chromium-cobalt alloy magnet, wherein: the iron-chromium-cobalt alloy magnet includes titanium; the number density of Ti-enriched phases having a maximum diameter of 3 μm or greater in a cross-section is, on average, less than 1.0 per 10,000 μm2; and the squareness ratio represented by (BH)ma×/(Br×HcB) exceeds 0.72.

公开(公告)号：US20230294201A1

公开(公告)日：2023-09-21

申请号：US18034881

申请日：2021-11-02

申请人： Proterial, Ltd.

发明人： Jing NIU ,  Kousuke KUWABARA

IPC分类号： B23K26/03 ,  G01N21/88 ,  B22F10/28 ,  B22F10/80 ,  B33Y50/00 ,  B23K26/342

CPC分类号： B23K26/032 ,  G01N21/88 ,  B22F10/28 ,  B22F10/80 ,  B33Y50/00 ,  B23K26/342 ,  B33Y10/00

摘要： Provided are a method for predicting a defect of an additive-manufactured product manufactured by melting and solidifying metal powder, and a method for manufacturing an additive-manufactured product. The method for predicting a defect of an additive-manufactured product has: a luminance data acquisition step for acquiring luminance data on light emitted from a melt pool formed when the metal power is melted and solidified; an evaluation data extraction step for extracting evaluation data from the luminance data; and an evaluation step for estimating the presence/absence of a defect of the additive-manufactured product by using the evaluation data, wherein the evaluation data includes a luminance average value and a luminance standard deviation.