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21.
公开(公告)号:US20240159680A1
公开(公告)日:2024-05-16
申请号:US18082822
申请日:2022-12-16
Applicant: NCS Testing Technology CO.,LTD
Inventor: Yunhai Jia , Liang Sheng , Liangjing Yuan , Lei Yu , Qiaochu Zhang
CPC classification number: G01N21/67 , G01J3/06 , G01J3/457 , G01N21/31 , G01N21/8851 , G01N21/93 , G01N33/2022 , G01J2003/061 , G01N2021/3196
Abstract: A spark spectrometry for inclusions content distribution on the surface of large size metallic materials, comprising the following steps: analyzing the surface of large-size metallic materials by spark discharge continuous excitation scanning, obtaining a mixture intensity distribution data of the solid solution and inclusions of an element on the surface of the large-size metallic materials; the relative frequency distribution diagram of spectral intensity is subjected to peak fitting of normal distribution and Gumbel distribution, obtaining an extreme value distribution data of spectral intensity of the inclusions; a size information of the inclusions in a small sample and that of the largest inclusions are correlated with the spectral intensity distribution data of inclusions, obtaining a result of content distribution of the inclusions on the surface of the large size metallic materials. The invention can quickly obtain accurate distribution information of inclusions of various elements on the surface of metallic materials.
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公开(公告)号:US20240105370A1
公开(公告)日:2024-03-28
申请号:US18530485
申请日:2023-12-06
Inventor: Haizhou Wang , Runqiu Lang , Haiyang Chen , Yandong Wang , Lei Zhao , Changwang Zhu , Xiaofen Zhang , Lixia Yang , Dongling Li , Xuejing Shen , Yunhai Jia
CPC classification number: H01F1/153 , C22C1/02 , C22C30/00 , C22C33/04 , C22C38/02 , C22C38/06 , C22C38/10 , C22C38/105 , C22C2202/02
Abstract: The present invention discloses a high-entropy soft magnetic alloy with 900 K high-temperature resistance, comprising Fe, Co, Ni, Si and Al, and the atomic percent of the alloy composition is expressed as FexCoyNizSimAln, wherein x=40%-80%, y=20%-60%, z=0-30%, m=0-20%, n=0-20%, and x+y+z+m+n=100%; the atomic percent of other doping elements is p=0-5%, and 0.5≤m/n≤3; the performance indexes of the material include: at room temperature, saturation magnetization Ms=90-150 emu/g, and coercive force Hc=0.1-15 Oe; and at 900 K, saturation magnetization Ms=70-130 emu/g, and coercive force Hc=0.1-25 Oe. The high-entropy soft magnetic alloy with 900 K high-temperature resistance of the present invention realizes the continuously diffuse distribution of nano-scale precipitates in the matrix structure by comprehensively regulating the microstructure configuration of the multi-principal element alloy, thus improving the soft magnetic properties of the alloy to a certain extent, and the processing route is simple and reliable, with high repeatability.
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23.
公开(公告)号:US20230358693A1
公开(公告)日:2023-11-09
申请号:US17902952
申请日:2022-09-05
Inventor: LIXIA YANG , HAIZHOU WANG , LIZHI REN , DANQI HUANG , LEI ZHAO , XUEJING SHEN , DONGLING LI , ZONGXIN LIU , CHANGWANG ZHU , YANG WANG , YUNHAI JIA
IPC: G01N23/20008
CPC classification number: G01N23/20008 , G01N2223/05 , G01N2223/106
Abstract: A component residual stress testing platform based on neutron diffraction and experimental method thereof are provided, the testing platform includes a component support, a rotating mainshaft, a first thrust cylindrical roller bearing, a first cylindrical roller bearing, a bearing spacing sleeve, a second cylindrical roller bearing, a sleeve, and a first fixed baffle. The rotating mainshaft is disposed on the component support. The first thrust cylindrical roller bearing, the first cylindrical roller bearing, the bearing spacing sleeve and the second cylindrical roller bearing are sleeved on the rotating mainshaft, the sleeve is sleeved outside the first cylindrical roller bearing, the bearing spacing sleeve and the second cylindrical roller bearing, a component to be tested is sleeved on the sleeve. The testing platform can support, move, tilt and rotate the component to be tested in a process of a residual stress testing.
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24.
公开(公告)号:US20230205175A1
公开(公告)日:2023-06-29
申请号:US18116279
申请日:2023-03-01
Applicant: NCS Testing Technology CO.,LTD
Inventor: Lei Zhao , Haizhou Wang , Lixia Yang , Lei Yu , Xuebin Chen , Hui Wang , Xuejing Shen , Yunhai Jia , Dongling Li , Xing Yu
IPC: G05B19/4099
CPC classification number: G05B19/4099 , G05B2219/49023
Abstract: The present invention discloses an integrated research and development system for high-throughput preparation and statistical mapping characterization of materials, comprising: a high-throughput preparation module, a high-throughput characterization module, an automatic control module and a statistical mapping data processing module; the high-throughput preparation module is used for preparing a multi-component combinatorial-sample; the high-throughput characterization module comprises a plurality of different high-throughput characterization devices; the automatic control module comprises a special sample box, a sample moving platform, an intelligent mechanical arm and a synchronous control system; and the statistical mapping data processing module is used for constructing a statistical mapping constitutive model corresponding to position mapping according to the composition, microstructure and performance data of the combinatorial-sample. The present invention integrates multiple functions, has high automatic control level, improves the experimental speed and experimental efficiency.
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公开(公告)号:US11506650B2
公开(公告)日:2022-11-22
申请号:US17009117
申请日:2020-09-01
Applicant: The NCS Testing Technology Co., Ltd.
Inventor: Dongling Li , Weihao Wan , Jie Li , Haizhou Wang , Lei Zhao , Xuejing Shen , Yunhai Jia
Abstract: The invention belongs to the technical field of quantitative statistical distribution analysis for micro-structures of metal materials, and relates to a method for automatic quantitative statistical distribution characterization of dendrite structures in a full view field of metal materials. According to the method based on deep learning in the present invention, dendrite structure feature maps are marked and trained to obtain a corresponding object detection model, so as to carry out automatic identification and marking of dendrite structure centers in a full view field; and in combination with an image processing method, feature parameters in the full view field such as morphology, position, number and spacing of all dendrite structures within a large range are obtained quickly, thereby achieving quantitative statistical distribution characterization of dendrite structures in the metal material. The method is accurate, automatic and efficient, involves a large amount of quantitative statistical distribution information, and is statistically more representative as compared with the traditional measurement of feature sizes of dendrite structures in a single view field.
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公开(公告)号:US20220205922A1
公开(公告)日:2022-06-30
申请号:US17315235
申请日:2021-05-07
Applicant: NCS Testing Technology CO.,LTD
Inventor: Xing YU , Haizhou WANG , Xuejing SHEN , Xiaojia Li , Yifei ZHU , Weihao WAN , Yuhua LU , Hui WANG , Qun REN , Yongqing WANG , Zhenzhen WAN
Abstract: An apparatus and a method for preparing glow discharge sputtering samples for materials microscopic characterization are provided. The apparatus includes a glow discharge sputtering unit, a glow discharge power supply, a gas circuit automatic control unit, a spectrometer, and a computer. The structure of the glow discharge sputtering unit is optimized to be more suitable for sample preparation by simulation. By adding a magnetic field to the glow discharge plasma, uniform sample sputtering is realized within a large size range of the sample surface. The spectrometer monitors multi-element signal in a depth direction of the sample sputtering, so that precise preparation of different layer microstructures is realized. In conjunction with the acquisition of the sample position marks and the precise spatial coordinates (x, y, z) information, the correspondence between the surface space coordinates and the microstructure of the sample is conveniently realized.
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公开(公告)号:US20210063376A1
公开(公告)日:2021-03-04
申请号:US17009117
申请日:2020-09-01
Applicant: The NCS Testing Technology Co., Ltd.
Inventor: Dongling LI , Weihao WAN , Jie LI , Haizhou WANG , Lei ZHAO , Xuejing SHEN , Yunhai JIA
IPC: G01N33/204 , G01N1/32 , G06T7/11 , G01N1/40 , G06T7/62
Abstract: The invention belongs to the technical field of quantitative statistical distribution analysis for micro-structures of metal materials, and relates to a method for automatic quantitative statistical distribution characterization of dendrite structures in a full view field of metal materials. According to the method based on deep learning in the present invention, dendrite structure feature maps are marked and trained to obtain a corresponding object detection model, so as to carry out automatic identification and marking of dendrite structure centers in a full view field; and in combination with an image processing method, feature parameters in the full view field such as morphology, position, number and spacing of all dendrite structures within a large range are obtained quickly, thereby achieving quantitative statistical distribution characterization of dendrite structures in the metal material. The method is accurate, automatic and efficient, involves a large amount of quantitative statistical distribution information, and is statistically more representative as compared with the traditional measurement of feature sizes of dendrite structures in a single view field.
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28.
公开(公告)号:US20200319071A1
公开(公告)日:2020-10-08
申请号:US16835899
申请日:2020-03-31
Applicant: The NCS Testing Technology Co., Ltd.
Inventor: Guiyong WANG , Haizhou WANG , Linmao ZHU , Zhigang YANG , Peng WANG , Tiezhu ZHU , Lei ZHAO , Dongling LI
Abstract: The present invention relates to a test system and method capable of simultaneously carrying out a high-throughput test of mechanical properties for miniature specimens. The system comprises one workstation (17) and a plurality of specimen test modules (16) installed horizontally or vertically on a workbench (15), wherein the workstation (17) comprises an operation interface, a data processing unit and a load output unit; each specimen test module (16) comprises a drive unit (5), an interchangeable to clamp unit (8), a displacement sensor (2), and a load sensor (14); the workstation (17) controls the drive unit (5) of the specimen test module (16) and receives detection data of the displacement sensor (2) and the load sensor (14); each specimen test module (16) optionally performs mechanical property testing independently; and the workstation (17) is controls simultaneously started testing of a plurality of specimens (9). The present invention can achieve tensile, bending, compression bending, stress-rupture, relaxation, and fatigue strength tests on a plurality of specimens at the same time.
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