This month's Insight

Comment, by Dr K J Kirk

NEWSDESK: New research aims to detect hidden defects in aircraft, nuclear plants and 3D printed metals; More efficient quality assurance for 3D printed components in the aviation industry


FEATURES

Research on detection method for defect-induced magnetic anisotropy in ferromagnetic materials under weak alternating current excitation,

by Fuchen Zhang, Xinqi Guan, Xu Wang and Yunpeng Li

Density feature clustering method for detection of internal defects in infrared non-destructive testing,

by Jin-Yuan Zhang, Xuan Zhao, Zhao-Jun Wang and Xiao-Long Zhou

Research on a bridge damping ratio identification method based on dynamic excitation speed variations,

by Lingkun Kong, Changbin Xue, Wang Liu, Sha Huang, Ying Chen and Wan Li

An automatic two-stage method for detecting angle steel overlap anomalies using deep learning and machine vision,

by Jiaming Han, Ting Fang, Wensheng Liu, Zhang Wang and Chong Dong

Research on the inversion method of concrete dam deformation parameters based on DE-ABC-SVM,

by Xiong Yong, Cheng Yang, Wang Kui, Chen Qiang and Zhao Mingjie

Research on a 3D point cloud defect detection method for PCB solder joints based on PointMLP,

by Wenqian Ding, Yi Lu, Yuhao Hu and Weiguo Wang