Other

Bangping Gu

Xiong Hu

Xianhua Wu

Wei Wang

Wei Wei

Jian Zhu

Ping Wang

Junliang He

Jiayi Zhuang

Yu Xiao

Siqi Wang

Xiaolan Yan

Ji Guo

Guangnian Xiao

Handong Xu

Zhensheng Yang

Haoda Li

Ruinan Wang

Zhenwu Yan

Qiongwen Lu

Zihao Wang

Qing'an Cui

Jungang Shao

Haoran Wu

Zhipeng Huo

Wanyi Wang

Zhongshan Wang

Jintao Lai

Yujia Lou

The present invention discloses a method of constructing a high-frequency vibratory stress relief device for eliminating residual stress of a small work-piece. The method comprises the following steps: fabricating a high-frequency vibration energy amplification device; fabricating a clamping device; mounting the high-frequency vibration energy amplification device; obtaining surface residual stress distribution on the small work-piece by means of X-ray diffraction; establishing a finite element model of the small work-piece; determining a target frequency f, determining the structural dimensions of the high-frequency vibration energy amplification device; analyzing the displacement mode to obtain loci of the vibration node lines and number of the vibration node lines; clamping the small work-piece; attaching strain gauges; connecting all devices. The present invention has the advantage of being able to increase the vibration energy acting on the small work-piece to achieve a better effect of high-frequency vibratory stress relief.

Method of constructing high-frequency vibratory stress relief device for eliminating residual stress of small work-piece

The present invention discloses a method for identifying travel classification based on smartphone travel surveys. The method takes individual volunteers as the object, GPS information collected by smartphones and instant recall verification features of respondents as the data source. First, travel features, individual features, and family features are determined by GPS data and questionnaire information of volunteers. Then, a training data set is determined by the equal proportion method. Finally, an artificial neural network combined with a particle swarm optimization algorithm is used to detect travel classification from the survey data. The method described in the invention can realize automatic identification of six travel classifications. It is conducive to replace the traditional resident travel survey with the advanced survey method under the environment of big data. At the same time, it provides data foundation for urban management and planning.

Method for identifying travel classification based on smartphone travel surveys

The present invention discloses a method for onset time detection of a time-domain acoustic emission signal based on histogram distance. The method comprises the following steps: acquiring an acoustic emission signal; dividing the signal into two intervals with a sliding point k as the demarcation point; obtaining the relative frequency histograms of two adjacent intervals; obtaining histogram distance of the relative frequency histograms of two adjacent intervals; moving the sliding point k to the next element to obtain two new intervals and generating new histograms of the two new intervals and calculating the histogram distance of two new intervals; searching for the point which gives the maximum value of the histogram distances, and the corresponding time to this point is regarded as the onset time.

Method for onset time detection of acoustic emission based on histogram distance

The present invention discloses a method of reducing octane loss in catalytic cracking of gasoline in S-Zorb plant. The method comprises following steps: a. Collecting equipment data and adjusting differences thereamong to construct initial data sample set; b. Collating data sample set; c. Employing local linear embedding to reduce dimension of independent variables, and trimming the independent variables to obtain reserved independent variables; d. Calculating correlation coefficients of the reserved independent variables and removing variables with too high correlation coefficients to obtain main variables; e. Constructing a BP neural network model of the main variables to obtain optimal octane loss prediction model; f. Employing the optimal octane loss prediction model to obtain a predicted optimal operating condition for each main variable. The present invention has advantage of reducing octane loss and improving quality of refined oil.

Method of reducing octane loss in catalytic cracking of gasoline in S-zorb plant

A method for determining the excitation frequency of vibratory stress relief by employing a system for determining the excitation frequency of vibratory stress relief is disclosed, comprising the steps of: connecting the component to the system for determining excitation frequency of vibratory stress relief; selecting a group of preferred excitation frequency of the vibratory stress relief according to the results of numerical simulation; obtaining the reference voltage peak of the sinusoidal signal from the preferred excitation frequency, and transforming the sinusoidal signal into an excitation signal for vibratory stress relief treatment; converting the vibration signal of the component during vibratory stress relief treatment into voltage signal to obtain the actual voltage peak; comparing the actual voltage peak with the reference voltage peak, and selecting the frequency with the maximum difference of voltage peak as the excitation frequency for the vibratory stress relief treatment.

System for determining excitation frequency of vibratory stress relief and method therefor

A high-frequency vibration welding conditioning system for achieving better metal material properties is disclosed, which comprises a host computer, a signal generator, a power amplifier, a high-frequency vibrator, a high-frequency vibration energy amplification and transfer device, an acceleration sensor, and a cooling module, the host computer controlling the signal generator to output a sinusoidal excitation signal which is independently and continuously adjustable in amplitude and frequency, the sinusoidal excitation signal being inputted to the high-frequency vibrator via the power amplifier. A method for achieving better metal material properties by the high-frequency vibration welding conditioning system is also disclosed, which comprises steps of manufacturing the high-frequency vibration energy amplification and transfer device, manufacturing a stepped mounting block, clamping a small-sized specimen on a pallet, determining output excitation frequency of the signal generator for high-frequency vibration welding, and performing high-frequency vibration welding process on the small-sized specimen. The present invention has the advantage of being capable of performing high-frequency vibration welding process on a metal material during solidification crystallization process and a metal solid material, thereby achieving better metal material properties right from the source of defect.

High-frequency vibration welding conditioning system and method thereof for achieving better metal material properties

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Shanghai, China

Bangping Gu