Boe Technology Group Co., Ltd.

Hefei Boe Optoelectronics Technology Co., Ltd.

Beijing Institute of Technology

Beijing Baidu Netcom Science and Technology Co., Ltd.

China Special Equipment Inspection and Research Institute

Wenjun Zhang

Bo Yang

Chunguang Xu

Xunze Zhang

Xiaokun Wang

Qingliang Wen

Hualu Wang

Wenkai Li

Jian Wang

Wei Shan Dong

Huan Liu

Qiang Huang

Hao Zhu

Zhe Yang

Hu Wang

Jun Fang

Gongtian Shen

Xu Pan

Guanjie Cheng

Sangsoo Park

Dong Ding

Zengzhi Xuan

Jinwei Huang

Zhaobo Wang

Lei Sha

Leilei Lv

Saiding Hong

Yuncong Li

Gan Song

Yongna Shen

A multi-source self-adaptive low-stress additive manufacturing method that includes arranging one or more high-energy sound beam excitation units on an additive manufacturing platform according to a size and a structure of a metal workpiece; planning an additive path according to the size and the structure of the workpiece; fixing a substrate on a self-adaptive additive manufacturing workbench; conducting additive manufacturing of the workpiece and starting a high-energy sound beam regulation system synchronously to generate high-energy sound beam(s) that are transmitted to the workpiece according to a control sequence; acquiring position information of molten pool(s) and position information of the one or more high-energy sound beam excitation units in the additive manufacturing process; continuously monitoring a surface temperature of the workpiece; and closing the high-energy sound beam regulation system when the additive manufacturing of the workpiece is finished and the surface temperature of the metal workpiece is reduced to room temperature.

Multi-source self-adaptive low-stress additive manufacturing method

A multi-source self-adaptive low-stress additive manufacturing apparatus including a multi-axis manipulator additive manufacturing system, a high-energy sound beam regulation system, a substrate and a self-adaptive additive manufacturing workbench. The multi-axis manipulator additive manufacturing system includes multi-axis manipulator(s), welding torch(es), manipulator controller(s) and a guide rail, where base(s) of the multi-axis manipulator(s) is connected with the guide rail, the welding torch(es) is held by distal end(s) of the multi-axis manipulator(s), the multi-axis manipulator(s) is controlled by the manipulator controller(s) to move the welding torch(es) to conduct low-stress additive manufacturing on the workpiece to be additive manufactured. The high-energy sound beam regulation system includes one or more high-energy sound beam exciters, each having a high-energy sound beam excitation unit and a titanium alloy special adiabatic amplitude transformer so as to realize the regulation of residual stress generated in the additive manufacturing process of the workpiece.

Multi-source self-adaptive low-stress additive manufacturing device

A magneto acoustic emission detection method for fatigue damage of ferromagnetic metal components: First, generating an excitation magnetic field by using a sine wave voltage signal, gradually increasing a loading voltage until a magneto acoustic emission signal of a bimodal envelope with an obvious tail peak is acquired, and taking a corresponding voltage peak value as a reference voltage; second, generating an excitation magnetic field by using a square wave voltage signal equal to or higher than a reference voltage, and acquiring a magneto acoustic emission signal with a T-shaped envelope; and third, calculating the average value of peak-to-peak values of the magneto acoustic emission signal in multiple periods to serve as a characteristic parameter, and enabling the characteristic parameter to have inflection point change along with the development of the initiation and expansion of the fatigue crack, and giving a timely early warning for the failure of the component. 

Magnetoacoustic emission detection method for fatigue damage of ferromagnetic metal component

A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.

Acquiring public opinion and training word viscosity model

A guide rail oiling tool includes: a sliding body, which is capped on a guide rail and slidable along the guide rail, and has an inner side surface facing a surface to be oiled of the guide rail, a shape of the inner side surface being matched with a shape of the surface to be oiled of the guide rail; an oil inlet disposed on the sliding body; and an oiling groove in communication with the oil inlet, disposed on the inner side surface of the sliding body and surrounding the surface to be oiled of the guide rail, so that the oiling groove applies oil to the surface to be oiled of the guide rail when the sliding body is sliding.

Guide rail oiling tool

It is provided a magnetron-sputtering coating system including a sputtering chamber. The sputtering chamber therein includes: a set of target, formed by concatenating a plurality pieces of target; a substrate carrier, arranged to be opposite to the target set, and support a substrate to be coated with a film; and a driving device, arranged to drive the substrate carrier to reciprocate in a direction of the arrangement of the target.

Magnetron-sputtering coating system and method, and display substrate

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Beijing, China

Wenjun Zhang