團(tuán)隊帶頭人：
毛漢領(lǐng)，博士，二級教授，博士生導(dǎo)師，1995年浙江大學(xué)博士畢業(yè)。曾從事高校管理工作近20年，主持完成國基項目2項、省級和企業(yè)橫向課題10多項，獲得省級自然科學(xué)獎1項、專利10多件、發(fā)表學(xué)術(shù)論文60多篇。
團(tuán)隊主要成員：
黃振峰，教授，碩士導(dǎo)師，1984年華南理工大學(xué)本科畢業(yè)；
李欣欣，博士、副教授，碩士導(dǎo)師，2008年浙江大學(xué)博士畢業(yè)；
吳振勇，博士、講師，2015年上海交通大學(xué)博士畢業(yè)。
團(tuán)隊聯(lián)系人：李欣欣
聯(lián)系人電話：15807714399
聯(lián)系人郵箱：lixinx@gxu.edu.cn
主要研究方向：
1.金屬結(jié)構(gòu)及零件疲勞損傷的非線性檢測
2.超聲非線性檢測的理論及方法
3.機(jī)械設(shè)備狀態(tài)監(jiān)測與故障預(yù)示
4.液固氣多相耦合狀態(tài)分析與控制
近5年研究項目：
1、鈧基新材料及高純鎵開發(fā)與產(chǎn)業(yè)應(yīng)用的分卡：過濾塔優(yōu)化設(shè)計及流程控制（自治區(qū)科技重大專項）
2、北部灣珍稀生態(tài)系統(tǒng)與生物多樣性保護(hù)研究與示范的分卡：遠(yuǎn)程測試及視頻監(jiān)控（自治區(qū)科技重大專項）
3、超聲導(dǎo)波智能檢測系統(tǒng)的研制（自治區(qū)科技基地與人才專項）
4、再制造結(jié)構(gòu)件疲勞損傷的非線性評估機(jī)理研究（自治區(qū)自然科學(xué)基金項目）
5、基于空間非線性力雙穩(wěn)態(tài)壓電振動能量收集器阱深優(yōu)化及其自適應(yīng)調(diào)節(jié)機(jī)制研究（自治區(qū)自然科學(xué)基金項目）
6、基于Volterra級數(shù)的舊零件內(nèi)部損傷非線性檢測機(jī)理研究（國家自然基金）
近5年發(fā)表的重要論文：
[1]Hanling Mao*;Qingzhu Li; Hanying Mao; Zhenfeng Huang ;et.al. Nonlinear ultrasonic characterization of carburized case depth[J]. NDT & E International, 2020, 112
[2]Mao Hanling, Zhang Yuhua; Li Xinxin,et.al. Location and Length Measurement of Invisible Fatigue Crack in Metal Components Using Wave Mixing Methods [J]. Journal of Testing and Evaluation, 2019,47(5):3622-3633.
[3]Mao Hanling*, Yi Xiaoxu, Mao, Hanying, et.al. Fatigue damage detection and location of metal materials by electrical impedance tomography[J]. Results in Physics 2019, 15:0-102664.
[4]Qing Shan Duan, Han Ling Mao*, Xin Xin Li,et.al., Experimental study on the static mechanical properties of amilled mixture of sugar cane[J]. Journal of Food Process Engineering, 2018(05):1-7.
[5]Hanling Mao, Yuhua Zhang, Xiaoqian Qin, et.al., Non-linear property analysis of deformed metallic components using a longitudinal critically refracted wave [J]. Insight, 2018, 60(11):626-634.
[6]Hanling Mao, Yuhua Zhang, Xinxin Li*, et.al., Fatigue crack detection and fatigue damage imaging using the non-collinear transverse wave mixing technique[J]. Nondestructive Testing and Evaluation, 2018(10):1-13.
[7]Hanling Mao*, Weili Tang, Yang Huang, et al., The construction and comparison of damage detection index based on the nonlinear output frequency response function and experimental analysis[J]. Journal of Sound and Vibration, 427 (2018): 82-94.
[8]Hanling Mao, Yuhua Zhang*, Hanying Mao, et al., Stress evaluation of metallic material under steady state based on nonlinear critically refracted longitudinal wave[J]. Results in Physics, 9 (2018):665–672.
[9]Zhenyong Wu, Jihua Liao, Wenyan Song*, Hanling Mao, et al., Semantic hyper-graph-based knowledge representation architecture for complex product development[J]. Computers in Industry, 100(2018):43-56.
[10]Honglan Huang, Hanying Mao, Hanling Mao*, et al., Study of cumulative fatigue damage detection for used parts with nonlinear output frequency response functions[J]. Journal of Sound and Vibration, 2017,411:75-87.
[11] Zhang Yuhua, Li Xinxin, Hanling Mao*, Wu Zhenyong, et al. Fatigue Life Prediction of Metallic Materials Based on the Combined Nonlinear Ultrasonic Parameter[J]. Journal of Materials Engineering and Performance, 2017,26(8)：3648-365.
[12]Yuhua Zhang,Hanling Mao*, Xinxin Li, et al. Feasibility of Residual Stress Nondestructive Estimation Usingthe Nonlinear Property of Critical Refraction Longitudinal Wave[J]. Advances in Materials Science and Engineering, 2017(11):0-11.
[13] Wu Zhenyong, Liao Jihua, Song Wenyan，Hanling Mao*, Huang Zhenfeng, Li Xinxin, Mao Hanying. Product lifecycle-oriented knowledge services: Status review, framework, and technology trends[J]. Concurrent Engineering-Research and Applications, 2017,25(1):81-92.
[14]李冰,李欣欣,毛漢領(lǐng)*,黃振峰.基于多孔介質(zhì)的甘蔗壓榨流固耦合分析[J].機(jī)械工程學(xué)報, 2017,(12):192-200.
[15]劉婷,毛漢領(lǐng)*,黃振峰,毛漢穎.金屬材料聲發(fā)射Kaiser效應(yīng)的混沌特性分析[J].振動與沖擊2017(12):50-54.
[16]黃振峰,劉永堅,毛漢穎,王向紅,李欣欣,毛漢領(lǐng)*.基于K熵和關(guān)聯(lián)維數(shù)的金屬疲勞損傷過程的聲發(fā)射信號特征分析[J].振動與沖擊,2017(15):210-214.
[17]張玉華,李欣欣,黃振峰,毛漢領(lǐng)*.基于混沌分形理論的金屬疲勞損傷過程的特征分析[J].振動與沖擊, 2017(21):72-77.
[18]毛漢穎,劉暢,劉永堅,毛漢領(lǐng)*.混沌特征量識別切削顫振的試驗研究[J].振動與沖擊, 2015(16):99-103.
