Sichuan University

Chengdu University of Technology

Wei Jiang

Jie Zhang

Wu Zhao

Xin Guo

Miao Yu

Kai Zhang

Xuehua Chen

Ling Chen

Xin Luo

Nianhan Wu

Lin Du

Zeyuan Yu

Hao Wan

Jun Li

Bo Wu

Xingyu Chen

Yiwei Jiang

Bing Lai

Chong Jiang

Chen Zhou

Shuaishuai Jiang

Wei Xiang

Zida Zhang

Bingnan Lv

Qianmiao Zhou

He Xu

A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E) includes constructing a product kansei evaluation vector matrix through original kansei adjectives; performing dimensionality reduction through PCA; and determining, based on principal component load factors, kansei adjectives representing principal components. In this way, the kansei adjectives extracted are explanatory to help users understand the selected kansei adjectives and make accurate evaluation.

Method for extracting kansei adjective of product based on principal component analysis and explanation (PCA-E)

This application relates to lubrication, and more particularly to an external cooling MQL manipulator and a machine tool and a lubrication method using the machine tool. The external cooling MQL manipulator includes a suspension structure, a robot arm, a controller and an oil mist generator. The suspension structure fixedly connects the robot arm and a frame, and a nozzle is provided on a free end of the robot arm; an oil mist generator is connected to the nozzle for ejecting oil mists to a processing area. When the machine tool works, the controller selects the corresponding lubrication parameters according to the processing parameters such as the cutter type and the workpiece material. The first motor and the second motor are controlled to rotate by the controller according to real-time changes of the processing positions detected by the detecting component, thereby adjusting the position of the nozzle.

External cooling MQL manipulators and machine tools and lubrication method using machine tools

A method for estimating the depth-domain seismic wavelets from depth-domain seismic data and synthesizing depth-domain seismic records. The method includes: obtaining depth coordinates and P-wave velocity v and density from well log, calculating a corresponding reflectivity series r; performing constant-velocity depth conversion for a seismic trace S and a reflectivity series r by using a velocity vas a reference velocity to obtain the converted seismic trace Sand the converted reflectivity series r; and estimating a depth-domain seismic wavelet w based on the Gibbs sampling method; synthesizing depth-domain seismic record by using the P-wave v, the reflectivity series r and the estimated depth-domain seismic wavelet w.

Integrated method for estimation of seismic wavelets and synthesis of seismic records in depth domain

A method of low-frequency seismic data enhancement for improving the characterization precision of a deep carbonate reservoir includes: first performing inversions on an input seismic data set to obtain the corresponding reflection coefficients and average seismic wavelet; then constructing a seismic wavelet with rich low-frequency information; and finally, performing convolution on the seismic wavelet with rich low-frequency information and the reflection coefficients to obtain seismic data with rich low-frequency information and enhanced low-frequency energy. In the present invention, changes of the seismic data in a work area in transverse and longitudinal directions are taken into consideration, and processing parameters can be quickly determined according to actual conditions of the work area to obtain an optimal processing effect. In this way, the characterization quality of geological anomalies, such as a fault, a fracture system, or the like, in a deep carbonate reservoir can be improved significantly.

Method of low-frequency seismic data enhancement for improving characterization precision of deep carbonate reservoir

The invention relates to petroleum seismic exploration, and more specifically to a method for gas-bearing reservoir characterization using logging information. In the method, logging information is used as a constraint to indirectly characterize the distribution range of the gas-bearing reservoir by determining the upper and lower boundaries. In addition, this method enables the automatic determination of the optimal calculation parameters according to the characteristics of input data, allowing for more accurate results.

Method for characterizing gas-bearing reservoir based on logging constraint

Disclosed is an adjustable ultrasonic micro-jet nozzle array with minimal quantity lubrication, relating to cooling of machining. The array-type nozzle includes an inlet conduit, a recycle conduit and a cooling body having a microjet ejection assembly and a recycling assembly. The cooling body includes a microjet ejection chamber which is closed. The inlet conduit is provided at a top of the cooling body and communicates with the microjet ejection chamber. The recycle conduit is located in the microjet ejection chamber, and connects the recycling assembly and an external vacuum machine. The adjustable ultrasonic micro jet nozzle array of the present invention has the advantages of simple structure and being convenient to use. A flow rate of trace cooling fluid is increased to improve the cooling and lubricating effect. A cooling fluid mist is recycled by the vacuum suction to reduce the consumption of the lubricating fluid while ensuring the cooling effect.

Adjustable ultrasonic micro-jet nozzle array with minimal quantity lubrication

Growing community of inventors

Sichuan, China

Wei Jiang