The Ncs Testing Technology Co., Ltd.

Central Iron and Steel Research Institute

Central Iron & Steel Research Institute Co., Ltd

Dongling Li

Lei Zhao

Haizhou Wang

Xuejing Shen

Yunhai Jia

Peng Wang

Weihao Wan

Xing Yu

Xiaojia Li

Guang Feng

Hui Wang

Lixia Yang

Yuhua Lu

Xuebin Chen

Zongxin Liu

Chao Li

Yang Wang

Qiang Li

Bing Han

Linmao Zhu

Zhigang Yang

Tiezhu Zhu

Zhongnan Bi

Lizhi Ren

Guiyong Wang

Ya Peng

Qingqing Zhou

Haozhou Feng

Suran Liu

Mingbo Liu

Feifei Feng

Jianqiu Luo

Hailong Qin

Man Hu

Danqi Huang

Changwang Zhu

Wenyi Cai

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

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

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

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. performing trans-scale and rapid quantitative statistical distribution characterization on the morphology change before and after isostatic pressing of the microstructures in the to-be-measured area of the alloy, so as to obtain a corresponding full-field metallography. In the present invention, the sample pretreatment is simple, the analysis speed is rapid, the scanning area is large, and the requirement of high throughput trans-scale analysis can be satisfied, so as to instruct the extraction of the material metallography feature unit.

Full-field statistical and characterizing method of fluid micro-explored strain for alloy microstructure

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Beijing, China

Dongling Li