Due to the high magnetic flux density at the edge of the magnet, the narrow-magnet Electromagnetic Acoustic Transducer can excite the ultrasonic wave with a larger amplitude than the conventional EMAT, but the waveform of the former is distorted. This paper presents a new focused EMAT design with a narrow magnet, which can both enhance the ultrasonic A0-Lamb signal and correct the distorted waveform. A synthesis equation of the ultrasonic signals based on the contribution of the in-plane (IP) and out-of-plane (OP) components of the magnet field is proposed to analyze the mechanism of the waveform distortion. The distorted wave is corrected by an uneven split-wires arrangement strategy. The EMAT employs a sector-shaped narrow magnet and a set of focused meander-line coils containing uneven split wires, for generating a 1MHz focused A0-Lamb wave in an aluminum plate. A three-dimensional finite element model of the EMAT is established using COMSOL Multiphysics to perform numerical simulations, and the effectiveness of the EMAT design is verified. The experimental results show that the EMAT not only corrects the signal distortion due to the narrow magnet and suppresses its side lobes, but also enlarges the amplitude of the A0-Lamb wave by 55.6% under the same magnetic flux density when compared with conventional EMAT.

Endowed with high sensitivity, fast response, and excellent flexibility, flexible piezoelectric sensors proffer substantial advantages for establishing efficacious contact with coarse object surfaces. They exhibit remarkable potential for application in wearable devices, motion state recognition, and device vibration monitoring. This paper introduces the development of a novel pliable piezoelectric nanocomposite harnessing modified lead zirconate titanate (PZT) and a flexible photosensitive resin. The PZT-based flexible piezoelectric sensors were fabricated using the light-curing molding technique. By establishing a sensor test platform, the performance parameters of the PZT-based sensors were obtained. Compared to conventional flexible piezoelectric sensors, the output voltage of the PZT-based sensors increased by 1.67 times under the same excitation, resulting in an improved response time and sensitivity. Moreover, the sensors demonstrated an excellent voltage output performance for recognizing human motion states and monitoring electrical equipment vibrations, both in real-time motion state changes and in core vibration under high-frequency operating conditions. These 3D-printed flexible piezoelectric sensors assume paramount significance across diverse domains, including motion science and real-time equipment condition monitoring.

The conventional electromagnetic ultrasonic transducers (EMATs) rely on the static magnetic field created by magnets. The magnet increases the size of the EMATs, and the strong magnetic force of the magnet attracts the detected steel and even ferromagnetic particles. It can cause mechanical damage to the transducer and the detected objects. A new high-energy acoustic excitation system, without a static bias magnetic is designed, which does not include any magnets. As the core of the system, the high-energy pulse excitation power supplies a transient high voltage to the excitation coil by the LC oscillation circuit. The maximum amplitude of current can reach 1700 A, which is much larger than the current in the conventional EMATs. Compared with the conventional EMATs, the intensity of the ultrasonic signal is greatly strengthened and the size of the EMAT is effectively reduced. Therefore, it can detect high-temperature steel plates at a higher lift-off distance. In this paper, the transduction mechanism of high-energy pulse electromagnetic acoustic on ferromagnetic materials was studied, and the high-energy pulse excitation coil used for the A0 mode Lamb wave was designed. The interaction rule of the magnetic field, the force field, and the acoustic field, was obtained. Then, the EMAT lift-off characteristic experiment of the high-energy pulse excitation was carried out, and the defect detection experiment was conducted on a cracked steel plate. The results show that the A0 mode Lamb waves have caused a high signal-to-noise ratio and can accurately locate the crack, which has a great advantage in detecting the microcrack defects of ferromagnetic materials.

The purpose of this paper is to analytically explore that an electromagnetic ultrasonic transducer (EMAT) can be used to do the activity determination of crack defects. Acoustic emission (AE) testing has been done through the innovative use of EMAT, and the activity of defects can be determined based on the Kaiser effect. In consideration of the Lorentz force and magnetostrictive force, the magnetism, force, and vibration displacement of aluminum sheet and steel sheet are analyzed through the finite-element method and fast Fourier transformation. The db3 wavelet is used to obtain the rule of signal change with excitation current. The experimental system of aluminum sheet and steel sheet was established for verification. This method effectively expands the AE theory based on global loading and also gives full play and expands the defect detection capability of EMAT equipment.

The analysis and calculation of the armature electromagnetic force is the premise of studying the dynamic characteristics of the electromagnetic railgun. Aiming at the problem of the numerical solution “pseudo-oscillation” at high speed, an extrapolation prediction method of armature electromagnetic force based on the Deep Belief Network-Deep Neural Network (DBN-DNN) is proposed. Firstly, the electromagnetic field control equation and armature dynamics equation, considering the influence of armature movement, are given, and the finite element simulation model of the electromagnetic railgun is established to analyze the dynamic characteristics and numerical solution stability of the armature electromagnetic force. Then, based on the stable numerical simulation data under different armature conductivities, a DBN-DNN method is proposed to realize the extrapolation prediction of the armature electromagnetic force under the standard conductance. Finally, the extrapolation prediction performance of the proposed method is tested by two electromagnetic railgun cases. Additionally, we further propose the training strategy of DBN-DNN parameters from solving armature electromagnetic force at low conductivity to standard conductivity. The armature electromagnetic force extrapolation prediction method for the whole launch process from low speed to high speed provides a new idea for the dynamic characteristic analysis of the high-speed electromagnetic railgun.