黄运保

作者: 时间:2015-10-25 点击数:

黄运保 简历

 

黄运保  广东工业大学机电工程学院博士、教授、博士生导师。主要从事三维机械CAD/CAE/CAM等工业软件研发、机器人工业视觉及数字孪生工业应用软件研发、复杂产品多学科设计优化等方面的研究工作,获得多项国家自然科学基金、863等项目资助,累计发表论文近70多篇,研制的多款工业软件已在多家国防科研院所及工业企业取得应用。

联系方式:huangyb@gdut.edu.cn

受教育经历

  • 2005/05-2007/10   美国伊利诺理工大学机械、材料、航空工程系博士后

  • 2001/06-2005/05   华中科技大学机械设计及理论专业工学博士学

  • 1998/09-2001/06   华中科技大学机械设计及理论专业工学硕士学位

  • 1994/09-1998/06   武汉纺织大学机械制造工艺与设备专业工学学士学位。

    研究工作经历

  • 2014.6-至今          广东工业大学 机电工程学院 “百人计划”教授

  • 2009/10-2014/06  华中科技大学 机械学院     副教授

  • 2007/10-2009/10     华中科技大学 机械学院      讲师

  • 2005/05-2007/10     美国伊利诺理工大学  机械、材料、航空工程系  博士后

主持的科研项目

[1] 冲击波二维速度场高时空分辨诊断系统,国家自然科学基金科学仪器项目,2022.1-2026.12.经费100万

[2] 基于稀疏谱的复杂产品多领域多物理场高效仿真优化方法,国家自然科学基金面上项目,2020.1-2023.12.经费60万

[3] 复杂产品基于深度代理模型的高效仿真与优化方法,国家自然科学基金面上项目,2019.1-2022.12.经费60万

[4] 基于压缩采样的三维辐射驱动不对称性高效分析方法研究,国家自然科学基金-中国工程物理研究院联合基金项目,2015.1-2017.12.经费80万

[5] 复杂产品基于非自适应压缩采样的响应面仿真优化方法,国家自然科学基金面上项目,2014.1-2017.12.经费80万

[6] 基于多传感器的主动式闭环测量规划理论与方法,国家自然科学基金青年基金项目, 2009.1-2010.12,经费22万

[7] Modelica技术在ICF实验中的应用,国家军口863项目,2009.6-2011.9,经费38

[8] 多传感器自动测量规划系统,教育部新教师基金,2009.1-2010.12经费4

[9] 多传感器测量规划理论与方法,国家留学人员启动基金,2011.6-2013.5,经费2

[10] ICF实验工程仿真与软件开发,中国工程物理研究院项目2014.09-2016.12,经费70万

[11] 实验三维排布系统,中国工程物理研究院项目,2008.3-2009.12,经费43万

[12] 实验三维排布系统升级,中国工程物理研究院项目,2010.3-2011.8,经费29万 

[13] ICF实验腔靶表面辐射对称性分析与优化设计软件,中国工程物理研究院项目,2011.10-2012.6,  经费22

[14] 神光系列装置实验排布设计与辐射对称性集成软件系统,中国工程物理研究院项目,2012.6-2013.4,经费22万

[15] ICF实验工程仿真与软件开发,专项项目,2012年, 经费30

[16] ICF实验工程仿真与软件开发,专项项目,2013年, 经费50

[17] 复杂机电装备嵌入式控制系统建模仿真平台开发与产业化,2010年广东省产学研结合项目,经费100万

[18] 家电产品系统设计及控制软硬件一体化仿真优化平台项目,2011年广东省产学研结合项目,经费200万

主要论著

1.期刊论文

[1] Liang G., Li H., Huang Y., et al, Multilevel sampling based sparse polynomial expansion for efficient uncertainty analysis of mechanical system, Mechanical Systems and Signal Processing, Vol.186, 2023, 109913.

[2] Liang G., Huang Y., Li H., et al, L1-norm based dynamic analysis of flexible multibody system modeled with trimmed Isogeometry, Computer methods in applied mechanics and engineering, Vol.394, 114760, 2022.

[3] Lin J., Li H., Huang Y., et al, An efficient modified Hyperband and trust-region based mode-pursuing sampling hybrid method for hyperparameter optimization, Engineering Optimization, Vol.54(2), 2022. 

[4] Liang G., Huang Y., Li H., Nonlinear compressed sensing-based adaptive modal shapes selection approach for efficient dynamic response analysis of flexible multibody system, Nonlinear Dynamics, Vol.105, 3393-3407, 2021. 

[5] Li H., Liang G., Huang Y., An efficient radiation analysis approach through compressive model for laser driven inertial confinement fusion, Computer Physics Communications, Vol.259,107644, 2021.

[6] He H., Li H., Huang Y., Huang J., Li P., A novel efficient camera calibration approach based on K-SVD sparse dictionary learning, Measurement , Vol.159, 107798, 2020.

[7] Lin J., Li H., Huang Y., et al, Adaptive artificial neural surrogate model of nonlinear hydraulic adjustable damper for automative semi-active suspension system, IEEE Access, Vol.8, 118673, 2020. 

[8] Li P., Huang Y., Li H. et al, Efficient modelling and optimization for double wishbone suspensions based on a non-adaptive sampling sparse response surface, Engineering Optimization, Vol.51(2):286-300, 2019.

[9] Xia N., Huang Y., Li H., et al, A Novel recovery method of soft X-ray spectrum unfolding based on compressive sensing, Sensors, Vol.18(11):3725, 2018.

[10] Li Z., He J., Lai X., Huang Y., Zhou T., et al, Evaluation of product recyclability at the product design phase: a time-series forecasting methodology, International Journal of computer integrated manufacturing, Vol.31(4-5), pp.457-468, 2018.

[11] Li P., Li H., Huang Y., Wang K. and Xia N., Quasi-sparse response surface constructing accurately and robustly for efficient simulation based optimization, Advances in engineering software, Vol.114, pp.325-336, 2017. 

[12] Jing L., Jiang S., Kuang L., Zhang L., Li L., Lin Z.,Li H., Zheng J., Hu F., Huang Y.*, et al, Preliminary study on a tetrahedral hohlraum with four half-cylindrical cavities for indirectly driven inertial confinement fusion, Vol.57(4), 046020, 2017.

[13] Jiang S. Jing L., Huang Y.*, Li H., Huang T. et al, A spherical hohlruam design with tetrahedral 4 laser entrance holes and high radiation performance, Physics of Plasmas, Vol.23(12), 122703, 2016.

[14] Jiang S. Huang Y*, et al, A unified free-form representation applied to the shape optimization of the hohlraum with octahedral 6 laser entrance holes, Physics of Plasmas, Vol.23(1), 012702, 2016.

[15] Xie X. Li Z., Li S., Huang Yet al, Radiation flux study of spherical hohlraums at the SGIII prototype facility. Physics of Plasmas, Vol.23(11), 112701,2016

[16] Li H., Huang Y*., et al, An efficient computational approach for evaluating radiation flux for laser driven inertial confinement fusion targets, Computer Physics Communications,Vol.193, pp.49-54,2015.

[17] Li H., Huang Y*, et al, Hint-based generic shape feature recognition from three-dimensional B-rep models, Advances in Mechanical Engineering,Vol.7, pp.1-12,2015.

[18] Li H, Huang Y*, Jiang S., Jing L. et al, A unified modeling approach for physical experiment design and optimization in laser driven inertial confinement fusion, Fusion Engineering and Design, Vol.100, pp.596-607, 2015.

[19] Sun Y., Chen L., Huang Y*. and Wan S., An Enhanced Graph Representation and Heuristic Tabu Search Approach for Flexible and Efficient 3D Shape Matching, Journal of Computing and Information Science in Engineering of ASME, Vol.14(3), 031009, 2014.

[20] Fan C., Huang Y*., and Wang Q., Sparsity-promoting polynomial response surface: A new surrogate model for response prediction, Advances in Engineering Software, Vol.77, pp.48-65, 2014.

[21] Wei Y., Wang Q., Huang Y.*, Wang Y., and Xia Z., Acceleration of free-vibrations analysis with the Dual Reciprocity BEM based on H-matrices and CUDA, Engineering Computations, Vol.32(2), 2015.

[22] Jiang S. Huang Y*, et al, A novel scheme for direct drive target with enhanced radiation, Physica Scripta,Vol.90, 085603,2015.

[23] Jiang S., Jing L., Huang Y*., and Ding Y., Novel free-form hohlraum shape design and optimization for laser-driven inertial confinement fusion, Physics of Plasma, Vol21, 102710, 2014.

[24] Jing L., Jiang S., Yang D., Li H.,Zhang L.,Lin Z, Li L.,Kuang L., Huang Y*., and Ding Y., Angular radiation temperature simulation for time-dependent capsule drive prediction in inertial confinement fusion,  Physics of Plasma, Vol.22, 022709, 2015.

[25]  Jing L., Li H., Lin Z., Li L., Kuang L., Huang Y. et al, Influence of Capsule Offset on Radiation Asymmetry in Shenguang-II Laser Facility, Plasma Science and Technology, Vol.17(10), pp.842-846, 2015.

[26] Huang Y. Li H., et al, Compressive analysis to radiation symmetry evaluation and optimization for laser-driven inertial Confinement fusion, Computer Physics Communications.Vol.185,pp.459-471,2014 

[27] Huang Y., Li H., Wang Q., and Chen L., Integrating multiple sensors for the closed-loop three-dimensional digitization, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. Vol.226(11),pp.2816-2834, 2012. 

[28] Wei Y., Wang Q., Wang Y., and Huang Y., Optimizations for Elastodynamic Simulation undefinedysis with FMM-DRBEM and CUDA, Journal of Computer Modeling in Engineering & Sciences, Vol.86(3), pp.236-249, 2012.

[29] Wang Y., Wang Q., Wang G., and Huang Y., An adaptive dual-information FMBEM for 3D elasticity and its GPU implementation, Journal of Engineering undefinedysis with Boundary Elements, Vol.37(2), pp.236-249, 2013.

 

[30] 彭国华,王波兴,黄运保,辐射流体力学计算结果的可视化处理,计算机应用与软件,2015.4

[31] 魏一雄,王启富,黄运保,刘清华,刘云华,特征联动下的建模-分析集成系统研发,计算机辅助设计与图形学报,2014年12月

[32] 景龙飞, 江少恩,丁永坤,黄天晅, 黄运保,神光-Ⅲ主机黑腔腔形研究与设计,强激光与粒子束,2014年2月

[33] 魏一雄,王启富,黄运保,夏兆辉,基于H-Matrices的结构特征值问题加速研究,固体力学学报20148

[34]  汪超, 黄运保, 孙宇航,激光间接驱动对称性分析的GPU并行求解,计算机仿真,20148

[35]  陆科惠, 黄运保, 孙宇航,基于压缩采样的复杂产品响应面构造方法,计算机仿真,20148

[36]  孔令松,黄运保,王启富,房间空调器稳态性能仿真,计算机仿真, 20149

[37] 黄运保,赵权, ICF内爆靶丸能流分布三维数值仿真, 强激光与粒子束, Vol.25(8), 2013年8月. EI收录)

[38] 王帅,黄运保*,面向与历史无关造型的三维约束模型构建方法,计算机辅助设计与图形学报,Vol.25(8), 2013年8月

[39] 赵权,黄运保*,孙宇航,CUDA架构下的靶丸辐射能流并行计算,计算机辅助设计与图形学报,Vol.25(7), 2013年7月

[40] 孙宇航,黄运保*,陈立平,基于启发式图匹配的模板形状搜索方法,计算机集成制造系统,2013年12月

[41] 王英俊,王启富,王钢,王书亭,黄运保, CUDA架构下的三维弹性静力学边界元并行计算,计算机辅助设计与图形学学报, 20121

[42] 王波兴; 王一波; 黄运保,基于模板技术的汽车多体动力学建模研究,计算机工程与设计,20127

[43] 李海艳、李维嘉、黄运保等, 基于Modelica技术的Dante谱仪解谱建模仿真 武汉理工大学学报(信息与管理工程版), 20128.

[44] 李海艳; 李维嘉; 黄运保,基于卡尔曼滤波的多传感器测量数据融合,武汉大学学报(工学版),2011年8月

[45] 黄运保,谭志辉,王启富,陈立平,基于移动最小二乘曲面的多视三维点云数据ICP对齐方法,武汉大学学报(工学版), 2011年4

[46] 谭志辉,黄运保,王启富,陈立平,基于移动最小二乘曲面的点云拼接算法 计算机辅助工程,20114

[47] 刘俊,黄运保,王启富,陈立平,基于过渡面重构的CAD模型压缩算法 华中科技大学学报,2011(1). EI收录)

 

[48] 刘俊,黄运保,王启富,陈立平,多体动力学模型的Modelica语言建模,中国机械工程, Vol.21(9), pp.1088-1093, 2010.

[49] 黄学良; 陈立平; 王波兴; 黄运保面向集成变量化设计的三维几何约束求解方法计算机辅助设计与图形学学报 201001

2.会议论文:

[1] Xia Z., Wang Q., Huang Y., Parallel Strategy of FMBEM for 3D Elastostatics and its GPU implementation using CUDA, Proceedings of IDETC/CIE, 2014.

[2] Jiang S., Huang Y, Design and analysis of Direct Drive Target with Enhanced Radiation, The Eighth International Conference on Inertial Fusion Sciences and Applications, Sep.8-13, Nara, Japan.

[3] Wan S., Huang Y.* and Wang Q., A New Approach to generic design feature recognition by detecting the hint of topology variation, Proceedings of the ASME International Design Engineering Technical Conferences and computers and Information in Engineering Conference, August, 2012. EI收录)

[4] Sun Y., Huang Y.* and Chen L.,A new multilevel attributed graph based shape matching approach to complex template design feature recognition, Proceedings of the ASME International Design Engineering Technical Conferences and computers and Information in Engineering Conference, August, 2012. EI收录)

[5] Wei Y., Wang Q., and Huang Y.*, Acceleration of model analysis by FMM based on DRBEM, Proceedings of the ASME International Design Engineering Technical Conferences and computers and Information in Engineering Conference, August, 2012. EI收录)

[6] Huang Y., Zhang L., and Wang Q. Adaptive moving Least-squares surfaces for multiple point clouds registration, Proceedings of the ASME International Design Engineering Technical Conferences and computers and Information in Engineering Conference, August, 2011. EI收录)

[7] Wang Y.,Wang Q., Wang G., and Huang Y., Boundary element parallel computation for 3DElastostatics using CUDA, Proceedings of the ASME International Design Engineering Technical Conferences and computers and Information in Engineering Conference, August, 2011. EI收录)

[8] Liu Jun, Huang Y., Wang Qifu and Chen Liping, Feature parameters extraction of blending surfaces for CAD geometry models compression, Proceedings of the ASME International Design Engineering Technical Conferences and computers and Information in Engineering Conference, August, 2008. EI收录)

[9] Wu J., Wang Q., Huang Y., and Li Y., A Hybrid Fuzzy Heuristic for Point data reduction in reverse engineering, Image and Signal Processing, 2008. EI收录)

[10] Huang,Y. and Qian, X., A stochastic approach to surface reconstruction, Proceedings of IDETC/CIE 2006 , ASME 2006 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, September 10-13, 2006, Philadelphia, Pennsylvania, USA.

3.参编教材

[1] 王书亭, 黄运保 等, 机械CAD技术( 21世纪高等学校机械设计制造及其自动化专业系列教材华中科技大学出版社,2012年,武汉。

4.实验室介绍

·           简介:

实验室由黄运保教授和李海艳副教授以及各博士研究生和硕士研究生组成。实验室主要有复杂产品多学科设计优化、人工智能、深度学习,机器人离线编程、基于机器视觉检测以及图像处理等多个方向,并且每个方向可以在项目中得到实践锻炼。实验室内学习氛围浓烈,会经常组织篮球、羽毛球、团建等活动。

 

 

·           项目成果展示:

机器人离线编程:

机器人离线编程是自动化生产的重要一环。离线编程指,在建立了机器人和数控机床的三维模拟场景后,经由软件仿真计算,生成控制机器人运动轨迹,进而生成机器人的控制指令。工程师可以由此来控制物理环境中的机器人。以下图片展示的是焊接实训仿真、搬运实训仿真、焊接实训仿真以及抓取实训仿真的结果。

搬运:

 

焊接:

 

抓取:

 

 

 

装配:

 

 

地址:广州市番禺区广州大学城外环西路100号广东工业大学行政楼325    邮编:510006

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