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赵罡 Gang Zhao

作者:       发布: 2015-10-15      来源:

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证件照2寸-赵罡

   (Gang Zhao)

出生年月

1972.01

    

河北文安

    

 

    

 

    

 

办公室

新主楼A807

    

飞行器制造工程系

    

 

电子邮箱

zhaog@buaa.edu.cn

    

 

个人主页

 

 

 

个人介绍

赵罡,男,博士,教授,博士生导师,清华大学党委副书记,北京航空航天大学兼职教授、博士生导师,工信部航空高端装备智能制造重点实验室主任,中国图学学会理事长,入选国家级人才计划。1990年从湖南考入北京航空航天大学,先后于1994年、2001年获得北京航空航天大学工学学士、博士学位,历曾北京航空航天大学88038威尼斯院长、校长助理、校党委副书记等。长期从事数字化设计制造、CAD/CAM工业软件、数字化装配、智能制造等方向研究工作。承担国家及省部级系列科研项目等20余项,包括两机重大专项基础研究项目、863重点项目、民机预研项目、国防科工局基础科研重大项目等重点重大任务。在国内、国际重要学术期刊和会议发表SCI/EI论文150余篇,授权发明专利40余项,出版十三五国家重点图书出版规划专著1本。担任包括CAD2022ISMAR2022SPM2022SPM2023NSFC-RGC2023等多项重要国际学术会议共同主席或程序委员等。

学习经历

1995.09-2001.06,北京航空航天大学航空宇航制造, 硕士、博士

1990.09-1994.07,北京航空航天大学机械制造, 学士

工作经历

2022.09~,国家监委驻清华大学监察专员、二级高级监察官;

2022.08~,清华大学党委副书记、纪委书记;

2019.03~2022.07,北京航空航天大学党委副书记;

2017.12~2019.03,北京航空航天大学发展规划部部长;

2011.11~2017.12,88038威尼斯院长

2007.7~2012.11,航空科学与技术国家实验室筹建办副主任、主任。

2004.08~今,北京航空航天大学88038威尼斯讲师、副教授、博士生导师、教授;

2002.06~2004.08,新加坡高性能计算研究院(Institute   of High Performance Computing, IHPC),博士后;

2001.09~2002.06,北京航空航天大学88038威尼斯,博士后。

研究领域

1. 数字化设计与制造技术重点研究曲线曲面几何造型新方法,CAD/CAM,智能数控编程技术,分布式网络数控技术;

2. 产品全生命周期管理技术与系统重点研究云计算环境下的研发设计、基于物联网的数字化工厂、互联网环境下的应用服务技术;

3. 飞机数字化装配技术及装备重点研究数字化装配测量技术,数字化协同装配技术,柔性工装技术;

4. 虚拟现实技术及其应用重点研究数字几何样机,几何数据压缩、大规模复杂产品可视化、增强现实技术。

荣誉及奖励

全国科技先进工作者

教育部新世纪优秀人才支持计划

北京市科技新星计划

中航工业集团科学技术奖一等奖

开授课程

本科生课程:《飞机数字化设计制造技术》;

研究生课程:《计算机辅助几何设计基础》、《非均匀有理B样条(NURBS)

学术与社会服务

2021.07,中国图学学会(国家一级学会),理事长

2016.07,国家智能制造标准化专家咨询组,成员

2016.05,中国科协第九届全国委员会委员,委员

2016.02,中国图学学会(国家一级学会),副理事长

2015.05,航空高端装备智能制造工信部重点实验室,主任

2014.04,国务院第七届学科评议组,成员

2014.03,北京市高效绿色数控加工工艺及装备工程技术研究中心,主任

学术论文

[1]     Hu J, Zhao G, Xiao W,   Li R. AR-based deep learning for real-time inspection of cable brackets in   aircraft. Robotics and Computer-Integrated Manufacturing. 2023,83:102574.

[2]     Chen Q, Du X, Wang W,   Chatzigeorgiou G, Meraghni F, Zhao G. Isogeometric homogenization of   viscoelastic polymer composites via correspondence principle. Composite   Structures. 2023,323:117475.

[3]     Zhao G, Wei Z, Jing X,   Shen B, Zhang C, Chen S, Xie F. An analytical local tool path smoothing   method with curvature control. The International Journal of Advanced   Manufacturing Technology. 2023, 1-21.

[4]     Xu Z, Wang A, Hou F,   Zhao G. Defect detection of gear parts in virtual manufacturing. Visual   Computing for Industry, Biomedicine, and Art. 2023, 6(1):1-2.

[5]     Wang A, He C, Zheng J,   Zhao G. 3D Class A Bézier curves with monotone curvature. Computer-Aided   Design. 2023, 159:103501.

[6]     Li Z, Li X, Han Y,   Zhang P, Zhang Z, Zhang M, Zhao G. A Review of Aeroengines’ Bolt Preload   Formation Mechanism and Control Technology. Aerospace. 2023, 10(3):307.

[7]     Guo M, Wang W, Zhao G,   Du X, Zhang R, Yang J. T-Splines for Isogeometric Analysis of the Large   Deformation of Elastoplastic Kirchhoff–Love Shells. Applied Sciences. 2023, 13(3):1709.

[8]     Yang J, Zhao G, Wang   W, Du X, Zuo C. Non-uniform C1 patches around extraordinary points with   applications to analysis-suitable unstructured T-splines. Computer Methods in   Applied Mechanics and Engineering. 2023, 405:115849.

[9]     Zhang R, Zhao G, Wang   W, Du X. Large deformation frictional contact formulations for isogeometric   Kirchhoff–Love shell. International Journal of Mechanical Sciences. 2023, 249:108253.

[10]  Du X, Zhao G, Zhang R, Wang W,   Yang J. Numerical implementation for isogeometric analysis of thin-walled   structures based on a Bézier extraction framework: nligaStruct. Thin-Walled   Structures. 2022, 180:109844.

[11]  Cheng K, Zhao G, Wang W, Liu Y.   An estimation methodology of energy consumption for the intelligent CNC   machining using STEP-NC. The International Journal of Advanced Manufacturing   Technology. 2022, 123(1-2):627-44.

[12]  Bao Q, Zhao G, Yu Y, Dai S, Wang   W. Ontology-based modeling of part digital twin oriented to assembly.   Proceedings of the Institution of Mechanical Engineers, Part B: Journal of   Engineering Manufacture. 2022, 236(1-2):16-28.

[13]  Cao X, Zhao G, Xiao W. Digital   Twin–oriented real-time cutting simulation for intelligent computer numerical   control machining. Proceedings of the Institution of Mechanical Engineers,   Part B: Journal of Engineering Manufacture. 2022, 236(1-2):5-15.

[14]  Yang J, Zhao G, Wang W, Du X, Guo   M, Zhang R. Surface blending using T-splines in semi-NURBS form.   Computer-Aided Design. 2022, 146:103210.

[15]  Zhao G, Cheng K, Wang W, Liu Y,   Dan Z. A milling cutting tool selection method for machining features   considering energy consumption in the STEP-NC framework. The International   Journal of Advanced Manufacturing Technology. 2022, 120(5-6):3963-81.

[16]  Zhao G, Zhang R, Wang W, Du X.   Two-dimensional frictionless large deformation contact problems using   isogeometric analysis and Nitsche’s method. Journal of Computational Design   and Engineering. 2022, 9(1):82-99.

[17]  Du X, Wang W, Zhao G, Yang J, Guo   M, Zhang R. Virtual element method with adaptive refinement for problems of   two-dimensional complex topology models from an engineering perspective. Computational   Mechanics. 2022, 70(3):581-606.

[18]  Bao Q, Zhao G, Yu Y, Zheng P. A   node2vec-based graph embedding approach for unified assembly process   information modeling and workstep execution time prediction. Computers &   Industrial Engineering. 2022, 163:107864.

[19]  Gang ZH, Jingyu HU, Wenlei XI,   Jie ZO. A mask R-CNN based method for inspecting cable brackets in aircraft.   Chinese Journal of Aeronautics. 2021, 34(12):214-26.

[20]  Bao Q, Zhao G, Yu Y, Dai S, Wang   W. The ontology-based modeling and evolution of digital twin for assembly   workshop. The International Journal of Advanced Manufacturing Technology.   2021, 117:395-411.

[21]  Dai S, Zhao G, Yu Y, Zheng P, Bao   Q, Wang W. Ontology-based information modeling method for digital twin   creation of as-fabricated machining parts. Robotics and Computer-Integrated   Manufacturing. 2021, 72:102173.

[22]  Su S, Zhao G, Xiao W, Yang Y, Cao   X. An image-based approach to predict instantaneous cutting forces using   convolutional neural networks in end milling operation. The International   Journal of Advanced Manufacturing Technology. 2021, 115:1657-69.

[23]  Xiao W, Liu G, Zhao G. Generating   the tool path directly with point cloud for aero-engine blades repair.   Proceedings of the Institution of Mechanical Engineers, Part B: Journal of   Engineering Manufacture. 2021,  235(5):877-86.

[24]  Liu Y, Zhao G, Han P. T-Spline   Surface Toolpath Generation Using Watershed-Based Feature Recognition.   Applied Sciences. 2020, 10(19):6790.

[25]  Wang A, He C, Hou F, Cai Z, Zhao   G. Designing planar cubic B-spline curves with monotonic curvature for curve   interpolation. Computational Visual Media. 2020, 6:349-54.

[26]  Du X, Zhao G, Wang W, Guo M,   Zhang R, Yang J. NLIGA: A MATLAB framework for nonlinear isogeometric   analysis. Computer Aided Geometric Design. 2020, 80:101869.

[27]  Du X, Zhao G, Wang W, Fang H.   Nitsche’s method for non-conforming multipatch coupling in hyperelastic   isogeometric analysis. Computational Mechanics. 2020, 65:687-710.

[28]  Zhao G, Cao X, Xiao W, Liu Q, Jun   MB. STEP-NC feature-oriented high-efficient CNC machining simulation. The   International Journal of Advanced Manufacturing Technology. 2020, 106:2363-75.

[29]  Zhao G, Yang J, Wang W, Zhang Y,   Du X, Guo M. T-Splines Based Isogeometric Topology Optimization with   Arbitrarily Shaped Design Domains. CMES-Computer Modeling in Engineering   & Sciences. 2020, 123(3).

[30]  Guo M, Zhao G, Wang W, Du X,   Zhang R, Yang J. T-Splines for Isogeometric Analysis of Two-Dimensional   Nonlinear Problems. CMES-Computer Modeling in Engineering & Sciences.   2020, 123(2).

 

 

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