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  • Welcome to collaborative innovation center of steel technology !
    Chinese
    Intelligent Manufacturing Team

    Team Introduction

      Min Li    Professor

    Ph.D., professor, doctoral tutor. Received a Ph.D. degree in mechanical and electrical engineering from University of Science and Technology Beijing in 2008.


    Ph.D., professor, doctoral tutor. Received a Ph.D. degree in mechanical and electrical engineering from University of Science and Technology Beijing in 2008. A researcher on the steel materials basic research team at the Collaborative Innovation Center of Steel Technology. Mainly engaged in product quality modeling and monitoring, intelligent decision support system, and advanced detection technology. Independently responsible for 6 national and provincial-level projects such as the National Natural Science Foundation of China, and participated in more than 10 scientific research projects lunched by entities such as Anshansteel, Shougang and Chinalco Group. Other achievements include more than 30 papers, 2 monographs, 5 patents, and 2 copyrights. One project won the first prize of “Hubei Science and Technology Progress Award”.

     Research Direction

     

    Analysis and Application of Industrial Big Data: Combination of industry 4.0 and big data related technology in metallurgical production process. Carrying out statistical modeling and analysis of metallurgical actual production process data, to achieve monitoring, diagnosis and optimization of product quality throughout the process.

    Advanced Detection Technology: Using high-frequency ultrasound microscopy, laser ultrasound and other modern signal processing methods to detect micro-defects and solidification structures such as inclusions, shrinkage cavities and cracks in metal materials are detected and to characterize them by high-throughput.

    Research Projects

    1. Responsible for the Fundamental Research Funds for the Central Universities of China project, "Study on Condition Monitoring and Diagnosis Optimization Method of Intelligent Manufacturing Process",2019.1~2020.12

    2. Responsible for the Fundamental Research Funds for the Central Universities of China project "Sound Field Analysis Method for Typical Materials in Multi-field Coupling Environment", 2018.1~2019.12

    3. Responsible for the Open Fund Project of the State Key Laboratory of Refractory Materials and Metallurgy, “Methods for Detection and Evaluation of Non-metallic Inclusions in Steel Based on Ultrasonic Microscopy”, 2017.1~2018.12

    4. Responsible for the National Natural Science Foundation of China, “Study on Acoustic Load Analysis Method of Material Components in Multi-field Coupling Environment”, 2016.1~2019.12

    5. Responsible for the Young Talents Program of Beijing Higher Education Institute “Research on Micro-defect Detection and Analysis Methods of Metallic Materials Based on Ultrasound Technology”, 2013.1~2015.12

    6. Responsible for the National Natural Science Foundation of China, “Non-Statistical Modeling Research on Quality Prediction and Diagnosis of Hot Rolled Strip Products”, 2010.1~2012.12

    7. Participated in the special research and development project of the Ministry of Industry and Information Technology, "New Model for Intelligent Manufacturing of High-end Aluminum Alloy Functional Materials", 2017.6~2021.6

    8. Participated in the Ministry of Industry and Information Technology's key research and development project "Shagang high-end wire rod process intelligent manufacturing new model", 2017.6~2021.6

    Publications

    1、Paper

    ü Li Min, Li X, Gao C, et al. Acoustic microscopy signal processing method for detecting near-surface defects in metal materials[J]. NDT & E International, 2019, 103: 130-144.

    ü Li Y W, Li Min, Yang D B, Gao C X. Research of the improved mapping of acoustic correlated sources method [J]. Applied Acoustic, 2019, 145: 290-304.

    ü Wei L, Li Min, Yang D B, et al. Reconstruction of sound source signal by analytical passive TR in the environment with airflow [J]. Journal of Sound and Vibration, 2017, 392: 77-90.

    ü Wei L, Li Min, Qin S, et al. Sound source localization method in an environment with flow based on Amiet–IMACS [J]. Mechanical Systems and Signal Processing, 2017, 88: 240-252.

    ü Li Min, Zhou T, Song Y. Material grain size characterization method based on energy attenuation coefficient spectrum and support vector regression[J]. Ultrasonics, 2016, 69: 1-10. (SCI:000375938300001)

    ü Li Min,Yang Jianhong. Fault feature extraction of rolling bearing based on improved cyclical spectrum density method[J]. Chinese Journal of Mechanical Engineering. 2015,28(6):1240-1247. (SCI: 000364728500019)

    ü Li Min, Qiang Fu, Long Wei, Debin Yang. Ghost Image Suppression Based on PSO-MVDR in Sound Field Reconstruction [J]. Journal of vibration and acoustics-transaction s of the ASME. 2015,1377):031007. (SCI: 000354038400007)

    ü Li Min, Xu Jinwu, Yang Jianhong, Yang Debin, Wang Dadong, Multiple manifolds analysis and its application to fault diagnosis, Mechanical Systems and Signal Processing, November 2009,23(8):2500-2509. SCI: 000269289000008

    ü Long Wei, Li Min*, Debin Yang, et al. Sound source localization method in an environment with flow based on Amiet–IMACS[J]. Mechanical Systems and Signal Processing, 2017, 88: 240-252. (SCI: 000392035600019)

    ü Long Wei, Li Min*, Debin Yang, et al. Reconstruction of sound source signal by analytical passive TR in the environment with airflow[J]. Journal of Sound and Vibration, 2017, 392: 77-90. (SCI: 000393266900007)

    ü Long Wei, Li Min*, Qiang Fu, Yue Fan, Debin Yang. Design of Acoustic Tubes Array and Application to Measuring Acoustic Loads in Supersonic Airflow[J]. Archives of Acoustics, 2014, 39(3), 395-402. (SCI: 000341962900010)

    ü Qiang Fu, Li Min *, Long Wei, Debin Yang. An Improved Method Combining Beamforming and Acoustical Holography for the Reconstruction of the Sound Pressure on Structure Surface [J].Acta Acustica united with Acustica, 2014, 100(1):166-183. (SCI: 000330557200018)

    ü Li Min,XuanXie,Ze Chen,Mengyao Yang, Debin Yang,Jin Jiang.Monitoring of Semiconductor Manufacturing Process Based on Functional Data Analysis[J].Journal of Mechanical Engineering, 2018,54(16):62-69

    ü Li Min,Yang Mengyao ,Chen Ze,Zhao Qidong.Supervised Manifold Learning Method Based on Local Feature Extraction[J].Journal of Mechanical Engineering, 2017, 53 (24): 211-220

    ü Li Min,Song Yanan,Zhou Tong,Xu Jinwu.Defect Feature Extraction in Ultrasonic Blind Zone Based on Mathematical Morphology[J].Journal of Mechanical Engineering , 2016,52(12),16-22

    ü Li Min,Song Yanan,Zhou Tong,Wang Shanchao.Improved kernel Fisher method for material micro-defect recognition[J]. Chinese Journal of Scientific Instrument, 2015,36(11):2617-2624

    ü Li Min, Zhou Tong, Wang Shanchao,Xiao Hui-fang, Xu Jinwu.Characterization Method of Materials Grain Size Based on Spectrum Energy[J]. Journal of Materials Engineering,2015,43:69-74

    ü Li Min,Wang Xiao-jing,Yang Jian-hong .Trend analysis method for acoustic emission signals of a low-speed and heavy-duty equipment based on Laplacian score[J]Journal of Vibration And Shock, 2014,33(17) ,94:99

    ü Li Min,Yang Jian-hong,WANG Xiao-jing. The cyclic spectrum density method based on entropy and its application to the fault diagnosis of rolling bearings[J].Journal of Vibration Engineering, 2015,28(1):1:11

    ü ZHAO Qi-dong,XU gang,Li Min.Production process monitoring diagnosis and optimization based on SVDD[J]. Chinese Journal of Engineering, 2016, (12):1791-1797.

    ü LU Qiao-qiao,Li Min,WANG Xiao-jing.Improved method of spectral correlation density and its applications in fault diagnosis[J].Journal of University of Science and Technology Beijing,2013,35(5):674-681

    ü LU Qiao-qiao,Li Min,WANG Xiao-jing. Three-position positioning method for roll crack emission based on information entropy[J]. Journal of Mechanical Engineering, 2013,49(18):78-84

    ü HE Fei,WANGBao-jian,Li Min,ZHAO Guang-man.Acid concentraton prediction model of steel pickling process based on orthogonal signal correction and robust regression[J]. Journal of University of Science and Technology Beijing,2013,35(02):242-248

    ü FU Qiang,WEI Long,YANG De-bin,Li Min.Reflected acoustic wave suppression method based on the cepstrum clip and its application in noise field reconstruction[J] Journal of University of Science and Technology Beijing, 2014, 36(6):717-725

    2、Monograph

    ü Xu Jinwu, Li Min, Theory and Method of Monitoring on Metallurgical Production Process, Metallurgical Industry Press, 2015

    ü Yang Jianhong, Li Min, Field Practical Diagnosis Technology of Rolling Bearing, China Machine Press, 2015

    3、Patent:

    ü Drift fault recognition method of hot-rolling strip steel based on sound signals, Patent No :ZL201010139353.1

    ü High-temperature-condition sound field measurement and analysis device and analysis method thereof, Patent No:ZL201310410120.4

    ü Sound field reconstructing and ghost image restraining method based on PSO-MVDR, Patent No:ZL201410222150.7

    ü Metal material inner inclusion three-dimensional reconstruction method based on ultrasonic testing technology, Patent No: 201510145749.X

    ü Sensitivity compensation method of defects in defocusing area of ultrasonic focusing probe,Patent No201610039070.7

    ü Internal microdefect detection method based on ultrasonic scanning microscope,Patent No201410382771.1

    4、Software copyright

    ü Remote monitoring and fault diagnosis system for configuration mechanical equipment, Software Copyright Number: 2011SR033103

    ü Sound field measurement and reconstruction system based on microphone array, Software Copyright Number: 2017SR321994

    5、Award

    ü Lu Yong, Yang Jianhong, Li Yourong, Li Min, Zhang Peng, Yang Debin. Condition Monitoring and Fault Diagnosis Technology and Application of Hot Continuous Rolling Mill Hubei Science and Technology Award First Prize, 2013

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