Name：Guohong Ma Title：Professor

Email：178516009@qq.com

Supervisor Type: Master's/Ph.D. Supervisor

Main Courses: Intelligent technology of material bonding; Pressure Welding & robotic intelligent welding technology; Material bonding way;

Major Research:

[1]. Intelligent Welding Technology: Conduct research on image sensing in welding processes, defect monitoring, and forming prediction of weld seam.

[2]. Advanced Welding Methods: Carry out research on ultrasonic spot welding of dissimilar metal thin sheets, focusing on interface microstructure and bonding mechanisms.

[3]. Superhydrophobic Coating Preparation: Develop preparation methods for superhydrophobic coatings, and investigate the micro-nano structures and hydrophobic properties of coatings.

Education Background

2002.03—2006.03 School of Materials Science and Engineering，Shanghai Jiaotong University，Ph.D

Work Experience

2012.12—Now School of advanced manufacturing, Nanchang University, Professor

2009.10—2010.10 Department of Mechanical Engineering, University of Kentucky (USA), Visiting Scholar

2008.12—2012.11 School of advanced manufacturing, Nanchang University, Associated Professor

2006.04—2008.11 School of advanced manufacturing, Nanchang University, Lecturer

Academic Appointments

Member, Committee on Robotics and Automation, Welding Institute, Chinese Mechanical Engineering Society

Personal Honors

 Second Prize of Jiangxi Provincial Graduate Teaching Materials, 2024（Ranked first）

 First Prize, Graduate Education Achievement Award, Chinese Society of Nonferrous Metals, 2025(Team member/ Ranked second)

 Outstanding Supervisor for Jiangxi Provincial Excellent Master’s Theses

Major Achievements

The team has long been engaged in research on intelligent welding technology, carrying out studies on welding process sensing, tracking, monitoring and welding technology, as well as the preparation of magnesium matrix composites and superhydrophobic coatings. It has presided over 4 projects of the National Natural Science Foundation, published more than 100 professional papers, obtained 8 authorized patents and software copyrights, and compiled and published the graduate textbook Welding Robot Tracking and Simulation Technology.

Representative Papers

[1]. A vision-based method for lap weld defects monitoring of galvanized steel sheets using convolutional neural network[J]. Journal of Manufacturing Processes. Vol.64, April.,2021: 130-139

[2]. Monitoring of weld defects of visual sensing assisted GMAW process with galvanized steel[J].MATERIALS AND MANUFACTURING PROCESSES. FEB.15, 2021. 36(10):1-11

[3]. Numerical simulation and experiment for the dynamic behavior of molten pool in ultrasonic-assisted MIG welding[J]. Int. J. Heat Mass Transf.Vol.215, Jun.30,2023: 124469

[4]. Recent progress of zeolitic imidazolate frameworks (ZIFs) in superhydrophobic and anticorrosive coatings for metals and their alloys[J]. J. Coat. Technol. Res. 02, Vol.20, Issue 4.May 2, 2023.：1157-1177

[5]. Design of ZIF-8-based PVB composite coating on AZ31B Mg alloy surface with superhydrophobic, wear, corrosion protection and durability[J]. Eur Polym J. Oct. 16, 2024; 219: 113393