代表性论文

[1] Zhenlong Zhang, Bing Li, Yu Huang, Feng Qin, Lei Chen*. Surface roughness characterization of additive manufactured Ti-6Al-4V based on laser ultrasonic signal[J]. Optics and Laser Technology, 2024, 177: 111070.

[2] Feng Qin, Bing Li, Lei Chen*, et al. Photoacoustic interaction mechanism with surface defects in freeform surface materials[J]. Applied Acoustics, 2024, 217: 109834.

[3] Lei Zhang, Bing Li, Lei Chen*, et al. Detail-preserving multi-exposure fusion for DR images of turbine blades with local contrast analysis and exposure intensity[J]. Journal of Nondestructive Evaluation, 2023, 42 (4): 98.

[4] Feng Qin, Bing Li, Lei Chen*, et al. Influence mechanism of gas turbine blade thickness on photoacoustic signals to guide defect imaging detection[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 9601012.

[5] Lei Zhang, Bing Li, Lei Chen*, et al. Classification of internal defects for gas turbine blades based on the discrimination of linear attenuation coefficient. Insight, 2023, 65 (6): 335-340.

[6] Lei Zhang, Bing Li, Lei Chen*, et al. Enhancement of digital radiographic images for gas turbine blades based on simple scattering model[J]. Journal of Nondestructive Evaluation, 2023, 42 (2): 33.

[7] Zhongyu Shang, Bing Li, Lei Chen*, et al. Defects prediction method for radiographic images based on random PSO using regional fluctuation sensitivity[J]. Sensors, 2023, 23 (12): 5679.

[8] Feng Qin, Bing Li, Lei Chen*, et al. Interaction analysis of different defects with laser ultrasonic sound waves and defect characterization[J]. Optics and Laser Technology, 2023, 157: 108630.

[9] Yu Huang, Bing Li, Lei Chen*, et al. Influence of top-coat thickness of thermal barrier coating on time-frequency domain and dispersion characteristics of laser-induced surface acoustic wave[J]. Applied Acoustics, 2023, 203: 109230.

[10] Lei Chen, Bing Li, Lei Zhang, et al. 3D positioning of defects for gas turbine blades based on digital radiographic projective imaging[J]. NDT & E International, 2023, 133: 102751.

[11] Zhenlong Zhang, Bing Li, Lei Chen, et al. Measurement of elastic constants of additive manufactured Ti-6Al-4V by non-contact multi-mode laser ultrasonic system[J]. Journal of Materials Engineering and Performance, 2022, 31 (9): 7328-7336.

[12] Zhongyu Shang, Bing Li, Lei Chen*, et al. Adaptive segmentation method in radiographic testing for turbine blades based on spatial entropy[J]. Review of Scientific Instruments, 2022, 93(11): 113312.

[13] Lei Chen, Bing Li, Hao Zhou, et al. Detection of three-dimensional parameter of defects for gas turbine blades based on two-dimensional digital radiographic projective imaging[J]. Journal of Nondestructive Evaluation, 2019, 38 (4): 9.

[14] Lei Chen, Bing Li, Zhuangde Jiang. Inspection of assembly error with effect on throat and incidence for turbine blades[J]. Journal of Manufacturing Systems, 2017, 43: 366-374.

[15] Bing Li, Lei Chen*, Yuegen Wang, et al. 3D detection of internal defects for gas turbine blades[J]. Insight, 2017, 59 (7): 364-370.

[16] Feng Qin, Bing Li, Lei Chen, et al. Quantitative characterization of laser ultrasonic based on energy loss and resonance phenomenon[J]. Optik, 2020, 223: 12.

[17] Feng Qin, Bing Li, Lei Chen, et al. Laser-induced surface acoustic waves for measurement of elastic constants based on mode conversion[J]. Materials Chemistry and Physics, 2020, 242: 122523.

[18] Fei Gao, Bing Li, Lei Chen*, et al. A softmax classifier for high-precision classification of ultrasonic similar signals[J]. Ultrasonics, 2021, 112: 106344.

[19] Fei Gao, Bing Li, Lei Chen*, et al. Ultrasonic signal denoising based on autoencoder[J]. Review of Scientific Instruments, 2020, 91 (4): 9.

[20李兵, 李章兵, 陈磊. 燃气轮机透平叶片数字射线检测分区及透照参数确定方法[J]. 西安交通大学学报, 2019, 53 (10): 31-39.

[21] Meiting Xin, Bing Li, Xiao Yan, Lei Chen*, et al. A robust cloud registration method based on redundant data reduction using backpropagation neural network and shift window[J]. Review of Scientific Instruments, 2018, 89 (2).

[22李兵, 闫潇, 陈磊等. 一种基于激光传感器快速检测透平叶片的方法[J]. 光子学报, 2017, 46 (11): 211-221.

代表性专利

[1] 陈磊; 李兵; 方宇等. 一种基于数字射线的燃气轮机叶片缺陷三维空间定位方法, 201810123213.1

[2] 陈磊; 李兵; 蒋庄德等. 燃气轮机叶片探测区域自适应分割及曝光参数优化方法, 201810124784.7

[3] 李兵; 陈磊; 王曰根等一种大型高温叶片内部缺陷三维无损检测方法, 201510066978.2

[4] 李兵; 陈磊; 周浩等. 一种大型燃气轮机叶片数字射线分区探测方法, 201710084556.7

[5] 李兵; 周浩; 陈磊等. 基于数字射线的燃气轮机叶片内部缺陷三维参数提取方法, 201710084115.7

[6] 李兵; 李章兵; 陈磊等. 一种模型未知的燃气轮机高温叶片数字射线检测分区方法, 201810738749.4

[7] 李兵; 李章兵; 陈磊等. 模型未知燃气轮机叶片数字射线分区透照方向的优化方法, 201810254256.3

[8] 李兵; 王曰根; 方宇; 陈磊等. 基于区域分割探测的燃气轮机叶片缺陷提取与分析方法, 201510068469.3

代表性软著

[1] 基于加权主成分分析法的点云配准系统V1.0, 2019SR0420432, 2019-04-30

[2] 激光超声表面波检测数据分析软件V1.0, 2021SR0608015, 2021-03-05

[3] 电池连接器质量视觉检测系统软件V1.0, 2018SR065853, 2018-01-26

[4] 电池丝印质量视觉检测系统V1.0, 2018SR004544, 2018-01-03

撰写专著

[1] 王建录, 王煜, 王恪典, 刘义, 李兵, 廖平, 刘学云, 刘志会, 陈磊, 段文强. 高温透平叶片精密加工与检测技术. 西安: 西安交通大学出版社. 2016.12