The Ncs Testing Technology Co., Ltd.

Central Iron and Steel Research Institute

Ncs Jiangsu Testing Technology Co., Ltd.

Beijing Dianshijingwei Technology Co., Ltd.

Central Iron & Steel Research Institute Co., Ltd

Yunhai Jia

Haizhou Wang

Lei Zhao

Dongling Li

Xuejing Shen

Liangjing Yuan

Lei Yu

Peng Wang

Xing Yu

Xiaojia Li

Guang Feng

Qiaochu Zhang

Liang Sheng

Hui Wang

Weihao Wan

Lixia Yang

Xuebin Chen

Xiaoke Hao

Yang Wang

Qiang Li

Wang Chen

Shanshan Xu

Cheng Jin

Yuhua Lu

Zongxin Liu

Zhongnan Bi

Lizhi Ren

Changwang Zhu

Jianqiu Luo

Runpeng Wang

Suran Liu

Danyang Zhi

Xuehua Wang

Man Hu

Zhenning Wu

Zhaodong Guo

Hailong Qin

Xinyang Dong

Chunyan Zhang

Shaoyin Li

Zengfeng Wang

Xiaofen Zhang

Baibing Li

Danqi Huang

A single pulse spectral statistical analysis method for particle size distribution of inclusions on a surface of a metal material is provided. The method includes the following steps: analyzing a surface of an oversized metal material through single pulse discharge continuous excitation scanning to obtain mixed intensity data of spectral intensities of solid solution and inclusions of an inclusion element on the surface of the oversized metal material and a relative frequency distribution diagram; performing peak fitting processing on the relative frequency distribution diagram of the mixed spectral intensities to obtain a relative frequency distribution diagram of the spectral intensities of the inclusion; and correlating particle size information of inclusions of a small sample with distribution data of the spectral intensities of the inclusions to determine a corresponding relation between the particle sizes and the spectral intensities of the inclusions, thereby obtaining a particle size distribution result.

Single pulse spectral statistical analysis method for particle size distribution of inclusion on surface of metal material

An ultra-high-speed fully automatic precision spectral analysis system for rare earth metals and its working method is disclosed. The system includes a central control server, a precision numerical control rotary table communicatively connected with the central control server, a sample loading-clamping device, an automatic weighing device, an automatic ranging device, an analyzing surface machining device, a rare-earth spark emission spectrometer, and an automatic marking device; the sample loading-clamping device is arranged to fix a test sample of a rare earth metal, the automatic weighing device is arranged to weigh the test sample in real time, and the automatic ranging device, the analyzing surface machining device, the rare-earth spark emission spectrometer, and the automatic marking device are set up around the precision numerical control rotary table to perform the corresponding work processes respectively.

Ultra-high-speed fully automatic precision spectral analysis system for rare earth metals and working method thereof

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.

Spark spectrometry for inclusions content distribution on the surface of large size metallic materials

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 invention discloses a combined oxygen, nitrogen and hydrogen joint determination device and method based on thermal conductivity-infrared technique. In the device, a melting and extraction system comprises a carrier gas introduction pipeline, a chamber valve, an impulse furnace and a dust filter; an analytical gas transmission system comprises a flush valve, a bypass valve, a mass flowmeter and a first switching valve; a signal detection system comprises an infrared cell, an analysis purification reagent tube and a thermal conductivity cell; and a signal analysis system comprises a controller and a processor. The present invention realizes different joint determination modes by switching different gas paths, which can meet different determination requirements of different users.

Combined oxygen, nitrogen and hydrogen joint determination device and method based on thermal conductivity-infrared technique

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

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 discloses an electronic handwriting apparatus and a handwriting display system of the electronic handwriting apparatus. The electronic handwriting apparatus is electrically connected to an electronic display apparatus, and comprises: at least one color setting button, each outputting a color setting signal; a first control unit electrically connected to each of the color setting buttons, receiving an output color setting signal and outputting a color selection signal according to the output color setting signal; the electronic display apparatus storing a plurality of color display information, selecting, according to the color selection signal, color display information corresponding to the color selection signal from the plurality of color display information, and setting the display information as current handwriting color when the handwriting apparatus performs handwriting input on the display apparatus.

Electronic handwriting apparatus and electronic handwriting display system

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

Yunhai Jia