Patents by Inventor Xuejing SHEN

Xuejing SHEN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220299455
    Abstract: A method for quantitatively characterizing a dendrite segregation and dendrite spacing of a high-temperature alloy ingot is disclosed. The method includes preparation and surface treatment of the high-temperature alloy ingot, selection of calibration sample and determination of an element content, establishment of quantitative method for elements in micro-beam X-ray fluorescence spectrometer, quantitative distribution analysis of element components of the high-temperature alloy, quantitative characterization of characteristic element line distribution of high-temperature alloy, and analysis of a characteristic element line distribution map and statistics of a secondary dendrite spacing.
    Type: Application
    Filed: March 18, 2022
    Publication date: September 22, 2022
    Inventors: DONGLING LI, HAIZHOU WANG, XUEJING SHEN, LEI ZHAO, WENYI CAI, MINGBO LIU, ZONGXIN LIU, YA PENG
  • Publication number: 20220252488
    Abstract: The present application relates to a method for statistical distribution characterization of dendritic structures in original position of single crystal superalloy, and relates to the technical field of analysis of metal material composition and microstructure, comprising the following steps: step 1, processing a to-be-tested sample and determining a calibration coefficient; step 2, obtaining a two-dimensional element content distribution map of the to-be-tested sample; and step 3, determining the number and average spacing of primary dendrites. A composition distribution region analyzed in the present application is larger than the area of a distribution region of the traditional microscopic analysis method, and the sample preparation is simple. The distribution, number and average spacing of the primary dendrites can be obtained without metallographic corrosion sampling.
    Type: Application
    Filed: January 27, 2022
    Publication date: August 11, 2022
    Inventors: DONGLING LI, LEI ZHAO, HAIZHOU WANG, XUEJING SHEN, QINGQING ZHOU, WEIHAO WAN, HAOZHOU FENG
  • Publication number: 20220203406
    Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.
    Type: Application
    Filed: March 16, 2022
    Publication date: June 30, 2022
    Applicant: The Boeing Company
    Inventors: Xuejing Shen, Ying Lin, Jia Liu, Rui Shen, Peng Xu, Yanbin Hu, Han Wu, Hui Wang, Jiaqing Zeng, Libin Yang, Ge Zhao, Jun Yao, Xiaoxia Shi
  • Publication number: 20220205922
    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.
    Type: Application
    Filed: May 7, 2021
    Publication date: June 30, 2022
    Applicant: NCS Testing Technology CO.,LTD
    Inventors: Xing YU, Haizhou WANG, Xuejing SHEN, Xiaojia Li, Yifei ZHU, Weihao WAN, Yuhua LU, Hui WANG, Qun REN, Yongqing WANG, Zhenzhen WAN
  • Patent number: 11311915
    Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.
    Type: Grant
    Filed: November 14, 2018
    Date of Patent: April 26, 2022
    Assignee: The Boeing Company
    Inventors: Xuejing Shen, Ying Lin, Jia Liu, Rui Shen, Peng Xu, Yanbin Hu, Han Wu, Hui Wang, Jiaqing Zeng, Libin Yang, Ge Zhao, Jun Yao, Xiaoxia Shi
  • Publication number: 20210356369
    Abstract: The present invention discloses a high throughput statistical characterization method of metal micromechanical properties, which comprises: grinding and polishing a metal sample until specular reflection finish satisfies a test requirement; marking position coordinates of a to-be-measured area on the metal sample by a microhardness tester to ensure the comparison of the same to-be-measured area; conducting an isostatic pressing strain test on the to-be-measured area by an isostatic pressing technology; and comparing high throughput characterization of components, microstructures, microdefects and three-dimensional surface morphology of the metal sample before and after isostatic pressing strain to obtain the full-view-field cross-scale high throughput statistical characterization of micromechanical property uniformity of the metal sample.
    Type: Application
    Filed: August 1, 2021
    Publication date: November 18, 2021
    Inventors: Haizhou WANG, Qun REN, Lei ZHAO, Xuejing SHEN, Hui WANG, Dongling LI, Weihao WAN, Wenyu ZHANG, Xing YU, Lixia YANG
  • Publication number: 20210063376
    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.
    Type: Application
    Filed: September 1, 2020
    Publication date: March 4, 2021
    Inventors: Dongling LI, Weihao WAN, Jie LI, Haizhou WANG, Lei ZHAO, Xuejing SHEN, Yunhai JIA
  • Publication number: 20210033549
    Abstract: The present invention discloses, a full-view-field quantitative statistical distribution representation method for microstructures of ?? phases in a metal material, comprising the following steps: step a: labeling ?? phases, cloud clutters and ? matrixes by Labelme, and then making standard feature training samples; step b: building a deep learning-based feature recognition and extraction model by means of BDU-Net; step e: collecting ?? feature maps in the metal material to be detected; step d: automatically recognizing and extracting the ?? phases; and step e: performing in-situ quantitative statistical distribution representation on the ? phases in the full view field within a large range.
    Type: Application
    Filed: October 12, 2020
    Publication date: February 4, 2021
    Inventors: Weihao Wan, Dongling Li, Haizhou Wang, Lei Zhao, Xuejing Shen, Yunhai Jia, Bing Han, Jie Li, Yuhua Lu
  • Patent number: 10895521
    Abstract: The invention belongs to the technical field of the quantitative statistical distribution analysis of the features from characteristic images of microstructures and precipitated phases in metal materials, and relates to a quantitative statistical distribution characterization method of precipitate particles with the full field of view in a metal material. The method comprises the following steps of electrolytic corrosion of a metallic material specimen, automatic collection of characteristic images of microstructure, automatic stitching and fusion of the full-view-field microstructure images, automatic identification and segmentation of the precipitate particles and quantitative distribution characterization of the precipitate particles with the full field of view in a large-range scale.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: January 19, 2021
    Assignee: CENTRAL IRON AND STEEL RESEARCH INSTITUTE
    Inventors: Dongling Li, Xuejing Shen, Lei Zhao, Haizhou Wang, Weihao Wan, Bing Han, Yuhua Lu, Feifei Feng, Chao Li
  • Patent number: 10804073
    Abstract: An apparatus and method for a large-scale high-throughput quantitative characterization and three-dimensional reconstruction of a material structure. The apparatus having a glow discharge sputtering unit, a sample transfer device, a scanning electron microscope unit and a GPU computer workstation. The glow discharge sputtering unit can achieve large size (cm order), nearly flat and fast sample preparation, and controllable achieve layer-by-layer ablation preparation along the depth direction of the sample surface; rapid scanning electron microscopy (SEM) can achieve large-scale and high-throughput acquisition of sample characteristic maps. The sample transfer device is responsible for transferring the sample between the glow discharge sputtering source and the scanning electron microscope in an accurately positioning manner.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: October 13, 2020
    Assignee: THE NCS TESTING TECHNOLOGY CO., LTD.
    Inventors: Haizhou Wang, Xing Yu, Xuejing Shen, Yunhai Jia, Xiaojia Li, Yuhua Lu, Weihao Wan, Jianqiu Luo, Dongling Li, Lei Zhao
  • Publication number: 20200294760
    Abstract: An apparatus and method for a large-scale high-throughput quantitative characterization and three-dimensional reconstruction of a material structure. The apparatus having a glow discharge sputtering unit, a sample transfer device, a scanning electron microscope unit and a GPU computer workstation. The glow discharge sputtering unit can achieve large size (cm order), nearly flat and fast sample preparation, and controllable achieve layer-by-layer ablation preparation along the depth direction of the sample surface; rapid scanning electron microscopy (SEM) can achieve large-scale and high-throughput acquisition of sample characteristic maps. The sample transfer device is responsible for transferring the sample between the glow discharge sputtering source and the scanning electron microscope in an accurately positioning manner.
    Type: Application
    Filed: October 30, 2019
    Publication date: September 17, 2020
    Inventors: Haizhou WANG, Xing YU, Xuejing SHEN, Yunhai JIA, Xiaojia LI, Yuhua LU, Weihao WAN, Jianqiu LUO, Dongling LI, Lei ZHAO
  • Publication number: 20200282430
    Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.
    Type: Application
    Filed: November 14, 2018
    Publication date: September 10, 2020
    Applicant: The Boeing Company
    Inventors: Xuejing Shen, Ying Lin, Jia Liu, Rui Shen, Peng Xu, Yanbin Hu, Han Wu, Hui Wang, Jiaqing Zeng, Libin Yang, Ge Zhao, Jun Yao, Xiaoxia Shi
  • Patent number: 10436577
    Abstract: The invention relates to a full-field statistical & characterizing method of fluid micro-explored strain for alloy microstructure, comprising the following steps: a. grinding and polishing the surface of an alloy sample to mirror with no grinding defects, and then determining a to-be-measured area on the surface of the alloy sample; b. utilizing a white light interferometry 3D surface profiler to perform initial morphology measurement on the surface of an alloy sample; c. utilizing an isostatic pressing technology to obtain the microstructure deformation on the surface of the alloy sample, and then utilizing a white light interferometry 3D surface profiler to perform deformed morphology measurement on the surface of the alloy sample to obtain a changing spectrum of micro morphology of the microstructures on the surface of the alloy; and d.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: October 8, 2019
    Assignee: CENTRAL IRON AND STEEL RESEARCH INSTITUTE
    Inventors: Guang Feng, Yunhai Jia, Haizhou Wang, Zhongnan Bi, Xuejing Shen, Peng Wang, Hailong Qin, Lei Zhao, Xing Yu, Dongling Li
  • Publication number: 20190204199
    Abstract: The invention belongs to the technical field of the quantitative statistical distribution analysis of the features from characteristic images of microstructures and precipitated phases in metal materials, and relates to a quantitative statistical distribution characterization method of precipitate particles with the full field of view in a metal material. The method comprises the following steps of electrolytic corrosion of a metallic material specimen, automatic collection of characteristic images of microstructure, automatic stitching and fusion of the full-view-field microstructure images, automatic identification and segmentation of the precipitate particles and quantitative distribution characterization of the precipitate particles with the full field of view in a large-range scale.
    Type: Application
    Filed: December 26, 2018
    Publication date: July 4, 2019
    Inventors: Dongling LI, Xuejing SHEN, Lei ZHAO, Haizhou WANG, Weihao WAN, Bing HAN, Yuhua LU, Feifei FENG, Chao LI
  • Publication number: 20190086194
    Abstract: The invention relates to a full-field statistical & characterizing method of fluid micro-explored strain for alloy microstructure, comprising the following steps: a. grinding and polishing the surface of an alloy sample to mirror with no grinding defects, and then determining a to-be-measured area on the surface of the alloy sample; b. utilizing a white light interferometry 3D surface profiler to perform initial morphology measurement on the surface of an alloy sample; c. utilizing an isostatic pressing technology to obtain the microstructure deformation on the surface of the alloy sample, and then utilizing a white light interferometry 3D surface profiler to perform deformed morphology measurement on the surface of the alloy sample to obtain a changing spectrum of micro morphology of the microstructures on the surface of the alloy; and d.
    Type: Application
    Filed: June 1, 2018
    Publication date: March 21, 2019
    Inventors: Guang FENG, Yunhai JIA, Haizhou WANG, Zhongnan BI, Xuejing SHEN, Peng WANG, Hailong QIN, Lei ZHAO, Xing YU, Dongling LI