Nantong University

Ling Jiang

Liang Hua

Juping Gu

Yuxuan Ge

Yisheng Huang

Wenbo Su

Chunkai Yan

Liangliang Shang

Ping Lu

Jiawei Miao

Shenfeng Wang

Cheng Lu

Yuqing Liu

Zixi Ling

Ran Chen

Hongkun Zhu

Kun Zhang

Kexin Shi

Qi Zhang

Kecai Cao

A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun () to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be determined.

Smart acoustic information recognition-based welded weld impact quality determination method and system

A composite motor having high-precision positioning, comprising: a housing (), a rough positioning assembly, a hollow output shaft (), a fine positioning assembly, a power switching apparatus and a controller (). A stepper motor () in the rough positioning assembly is responsible for rough positioning of the composite motor, an annular travelling wave ultrasonic motor in the fine positioning assembly is responsible for tail end fine positioning of the composite motor, and the controller () implements power output switching between the annular travelling wave ultrasonic motor and the stepper motor (). The composite motor effectively solves the problem that annular travelling wave ultrasonic motors which operate continuously for a long time have a short service life, and ensures high-precision positioning while also extending motor service life.

Composite motor having high-precision positioning

Disclosed is a quaternion multi-degree-of-freedom neuron-based multispectral welding image recognition method, comprising: using three cameras having different wavebands to obtain multispectral weld pool images, and respectively performing pre-processing and edge extraction on the weld pool images having the different wavebands obtained at a same moment by the three cameras; establishing a quaternion-based multispectral weld pool image edge model; extracting low-frequency features after a quaternion discrete cosine transform; using a quaternion-based multi-degree-of-freedom neuron network to perform classification, training and recognition on edge features of the multispectral weld pool images. Compared to traditional means, the present invention has multiple recognition information sources, strong anti-interference capabilities and high recognition accuracy.

Quaternion multi-degree-of-freedom neuron-based multispectral welding image recognition method

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Nantong, China

Ling Jiang