The Ncs Testing Technology Co., Ltd.

Central Iron and Steel Research Institute

Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment

Central Iron & Steel Research Institute Co., Ltd

Xiaomi Inc.

Haizhou Wang

Lei Zhao

Dongling Li

Xuejing Shen

Yunhai Jia

Peng Wang

Weihao Wan

Xing Yu

Xiaojia Li

Hui Wang

Yuhua Lu

Guang Feng

Lixia Yang

Xuebin Chen

Hao Zhang

Chao Li

Yang Wang

Yang Yang

Jia Liu

Qiang Li

Ying Zhao

Bing Han

Hongwei Li

Lei Yu

Ling Liu

Juan Li

Hua Zhang

Zongxin Liu

Guiyong Wang

Tiezhu Zhu

Linmao Zhu

Zhigang Yang

Xuejing Yang

Liangjing Yuan

Hongwei Shi

Huan Huan

Qiaochu Zhang

Liang Sheng

Lizhi Ren

Donglin Li

YiFei Zhu

Yongqing Wang

Zhongnan Bi

Xiaopeng Li

Jianqiu Luo

Suran Liu

Feipeng Cui

Hailong Qin

Feifei Guo

Yuexiang Yan

Shaocheng Hu

Hongquan Ma

Man Hu

Xiaofen Zhang

Baibing Li

Weijiang Liu

Xiaobing Zhao

Danqi Huang

Changwang Zhu

Wenyi Cai

Mingbo Liu

Ya Peng

Qingqing Zhou

Haozhou Feng

Feifei Feng

Qun Ren

Zhenzhen Wan

Yi Xia

Dingkun Hong

An adaptive characteristic spectral line screening method and system based on atomic emission spectrum are provided, the method includes: using a set characteristic screening optimization method to perform a plurality of optimization rounds of characteristic screening, obtaining an initialized spectral dataset of each round of the characteristic screening and initialized characteristic population genes; obtaining an optimal characteristic population gene of each round by a set analysis method, a fitness function, and an iteration of a genetic algorithm; obtaining an optimized characteristic spectral information set when the plurality of optimization rounds reach set optimization rounds; performing combination statistics and discriminant analyses on the optimized characteristic spectral information set to complete an adaptive characteristic spectral line screening. The disclosure can efficiently and automatically screen out the characteristic spectral lines that meet the analysis requirements in the complex atomic emission spectrum, thus ensuring the effectiveness and accuracy of screening the characteristic spectral lines.

Adaptive characteristic spectral line screening method and system based on atomic emission spectrum

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.

Method for quantitatively characterizing dendrite segregation and dendrite spacing of high-temperature alloy ingot

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.

Component residual stress testing platform based on neutron diffraction and experimental method thereof

A high-throughput 3D printing system for preparing multi-component, small sized samples, includes a raw material supply module, providing a various kinds of metal powders for printing small sized samples; the first mixer module, mixing the metal powders obtained from the raw material supply module to generate the first blended metal powders; the second mixer module, mixing the first mixed metal powders, in order to generate the second blended metal powders for printing small sized samples; the first printing module, printing the secondary blended metal powder into a small-sized sample; a control module, controlling other functional modules of the high-throughput 3D printing system for generating small-size samples.

High-throughput 3D printing system for preparing multi-component, small sized samples

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.

Apparatus and method for preparing glow discharge sputtering samples for material microscopic characterization

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. Therefore, the present invention has the advantages of large statistical field of view, high efficiency and complete information, and the statistical data is more accurate and reliable.

Method for statistical distribution characterization of dendritic structures in original position of single crystal superalloy

A high-throughput and small size samples tension, compression, bending test system is disclosed. The system includes a computer unit, a motor and a number of the sample testing modules mounted horizontally or perpendicular to that ground on a workbench. The sample testing modules include a sample testing modules base plate fixedly attached to the workbench, and a ball screw, a displacement sensor, a moving beam, a clamp unit, a linear moving platform unit and a force value sensor arranged on the sample testing modules base plate. A number of the sample testing modules are arrange in parallel on the workbench or uniformly distributed in a circumferential direction with a point on the workbench as a circular center.

High-throughput and small size samples tension, compression, bending test system and method thereof

The present invention discloses a nonhomogeneous soil pollutant multiphase extraction and tail gas purifying device and an application method thereof. The device comprises two water retaining walls, a water layer extraction system and a near-water soil layer extraction system, a nonhomogeneous soil layer extraction system and a geophysical prospecting system, etc. The distribution of pollutants and the range of the pollution plume can be determined through geophysical prospecting, borehole exploration, three-dimensional simulation, etc.; through the combined application of the water retaining wall and the water pumping and supplementing self-circulation system, it is beneficial to form a stable treatment area for the occurrence area of the groundwater layer; the arrangement of the water layer extraction system facilitates the liquid extraction of the organic pollutants in a free phase and a dissolved phase at the groundwater.

Nonhomogeneous soil pollutant multiphase extraction and tail gas purifying device, and application method thereof

A measurement deviation correction method and system for spark discharge analysis of a large-size metal material includes: performing line-by-line scanning measurement on a surface of the material to obtain a line component content, performing in-line correction on the line component content by adopting a line linear fitting model, and performing inter-line correction by taking a total average value obtained by eliminating an extreme value from a line component content distribution to obtain an inter-line corrected component content; performing column-by-column scanning measurement on the surface of the material to obtain a column component content, performing in-column correction on the column component content by adopting a column linear fitting model, and performing inter-column correction by taking a total average value obtained by eliminating an extreme value from the column component content; and coupling the inter-line corrected component content and the inter-column corrected component content to obtain an optimal measurement component content.

Measurement deviation correction method and system for spark discharge analysis of large-size metal material

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.

Method for automatic quantitative statistical distribution characterization of dendrite structures in a full view field of metal materials

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 () and a plurality of specimen test modules () installed horizontally or vertically on a workbench (), wherein the workstation () comprises an operation interface, a data processing unit and a load output unit; each specimen test module () comprises a drive unit (), an interchangeable clamp unit (), a displacement sensor (), and a load sensor (); the workstation () controls the drive unit () of the specimen test module () and receives detection data of the displacement sensor () and the load sensor (); each specimen test module () optionally performs mechanical property testing independently; and the workstation () controls simultaneously started testing of a plurality of specimens (). 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.

System and method for high-throughput test of mechanical properties of miniature specimens

A sleeve mold for a method of high-throughput hot isostatic pressing micro-synthesis for combinatorial materials includes a honeycomb-array-sleeve and an upper cover, wherein a plurality of single cells are tightly arranged inside the honeycomb-array-sleeve, an exhaust tube is arranged on the upper cover, after the single cells are filled with powder materials, the upper cover is sealed welding on the honeycomb-array-sleeve, and the honeycomb-array-sleeve and the upper cover are both integrally produced by additive manufacturing. According to the method and the sleeve mold, the powder metallurgy hot isostatic pressing process is utilized to prepare small-size bulk combinatorial materials with multiple discrete components rapidly at one time.

Method of high-throughput hot isostatic pressing micro-synthesis for the combinatorial materials and sleeve mould thereof

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. By establishing a mathematic model, the large-range automatic stitching and fusion of the characteristic images of the full-view-field microstructures in a characteristic region and the automatic segmentation and identification of the precipitate particles are realized; and the quantitative statistical distribution characterization information of the full-view-field morphology, quantity, size, distribution and the like of plentiful precipitated phases in a larger range is quickly obtained. The method has the features of being accurate, high-efficiency and informative in quantitative distribution characterization, as well as has much more statistical representativeness compared with conventional single-view-field quantitative image analysis.

Full-view-field quantitative statistical distribution characterization method of precipitate particles in metal material

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. The GPU computer workstation performs splicing, processing, recognition and quantitative distribution characterization on the acquired sample characteristic maps, and carries out three-dimensional reconstruction of the structure of the sample prepared by layer-by-layer sputtering.

Apparatus and method for large-scale high throughput quantitative characterization and three-dimensional reconstruction of material structure

The present invention belongs to the technical field of high throughput preparation and hot working of materials, and in particular to a high throughput micro-synthesis method of multi-component materials based on the temperature gradient field controlled by microwave energy. This invention, characterized by flexible material selection, quick temperature rising and high-efficient heating, uses microwave heating both to achieve quick preparation of small block combinatorial materials under the same temperature field in one time and to realize micro-synthesis under the different temperature gradient fields in one time including high-throughput sintering-melting and heat treatment of materials. This invention successfully overcomes drawbacks of current material preparation, such as unitary combination of components, low-efficient external heating, unique control temperature, huge material consumption and high cost during material preparation and heat treatment.

High throughput micro-synthesis method of multi-component materials

Growing community of inventors

Beijing, China

Haizhou Wang