Study on Remote Field Eddy Current Testing Technology for Crack-like Defects in Long Truss Structure of Aircraft

Abstract

Detection of hidden defects of aircraft long truss structures (aluminum alloy) is a challenging problem. The shape of the aircraft truss structure is complex, and the crack defects are buried in a large depth. Without the restriction of skin effect, remote field eddy current (RFEC) has great advantages in detecting buried depth defects. In this paper, in order to detect the hidden defects of the aluminum alloy aircraft long truss structure, the remote field eddy current probe is improved from two aspects of magnetic field enhancement and near-field signal suppression using the finite element method. The results show that indirect coupling energy is greatly enhanced when the connected magnetic circuit is added to the excitation coil. By adding a composite shielding structure outside the excitation coil and the detection coil, respectively, the direct coupling energy is effectively restrained. As a result, the size of the probe is reduced. By optimizing the coil spacing and probe placement position, the detection sensitivity of the probe is improved. The simulation is verified by experiments, and the experimental results are consistent with the simulation conclusions.

Inspection of aircraft parts by eddy current method

“…Tests were carried out on conductive aircraft parts using the eddy current inspection method [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Screws are used as fasteners at aircrafts.…”

Quantitative Detection for Fatigue Natural Crack in Aero-Aluminum Alloy Based on Pulsed Eddy Current Technique

“…Consequently, there is significant attentions paid to the initiation and propagation of cracks, leading to research efforts aimed at understanding the formation and expansion of cracks in engineering materials like aeroaluminum alloys [3][4][5][6]. On the other hand, some of the attentions are involved in seeking the effective detection of cracks to ensure the safety operation of equipment [7][8][9]. The ability to accurately identifying and assessing cracks is integral to maintaining the structural integrity and performance of engineering systems.…”

Ultrasonic testing of rivet in multilayer structure using a convolutional neural network on edge device

“…These ECT systems provide a high sensitivity to surface and subsurface damage and can detect hidden corrosion in the layers of the multilayer structure. [6][7][8] The exciting and sensing coils could be arranged in an eddy current array probe to detect a large area of the aircraft and be commercialized using in the practical (e.g. Ommiscan system Olympus, ECA system Eddyfi).…”