Abstract:
Disclosed are a method for predicting collapse of a structure using throw-type sensors and a system for the same. The system includes at least one throw-type sensor for measuring a collapse characteristic of a structure on fire after having been thrown into the structure in a fireplace and wirelessly transmitting measured data, and a computer for receiving the measured data transmitted from the at least one throw-type sensor and predicting whether or not the structure on fire will collapse by analyzing the measured data.
Abstract:
Disclosed are an integrated inspection system for a 3D printing process using a thermal image and a laser ultrasound wave and a 3D printing system having the inspection system. The inspection system includes a thermal imaging camera for creating a thermal image of a molten pool formed in a printing object when a base material supplied to the printing object is melted by a laser beam irradiated from a 3D printing laser source, a laser ultrasonic device for receiving a laser ultrasonic wave included in the laser beam reflected from the printing object, and a control unit for estimating a physical property of the printing object and detecting a defect of the printing object based on the thermal image created by the thermal imaging camera and the laser ultrasound wave received by the laser ultrasonic device. The thermal imaging camera and the laser ultrasonic device are disposed coaxially with the 3D printing laser source.
Abstract:
Disclosed are a method and apparatus of estimating a depth of a molten pool formed during a 3D printing process, and a 3D printing system. A surface temperature of the molten pool is measure by taking a thermal image of a laminated printing object during the 3D printing process with a thermal imaging camera. The measured surface temperature is compared with a melting point of the base material to determine a surface boundary of the molten pool. The maximum lengths in x-axis and y-axis directions of a surface region of the molten pool defined by the surface boundary of the molten pool are determined as a length and a width of the surface of the molten pool, respectively. A maximum depth in the z-axis direction of the molten pool is determined in real time based on the length and width of the surface region of the molten pool.
Abstract:
A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.
Abstract:
Provided is a structural health monitoring system of a rotating object such as a turbine blade, which gives easy and intuitive information to field managers on the damage location and the damage size of the rotating object by computing and visualizing correlations between damage and propagating ultrasonic wave. The structural health monitoring system for a rotating object comprises an ultrasonic generation system which generates an ultrasonic signal by irradiating a pulse laser beam to a point of the rotating object, a pulse laser control system which adjusts the irradiating time of the pulse laser beam, an ultrasonic measurement system which measures a generated ultrasonic signal at a point of the rotating object away from the point irradiated by the pulse laser beam and a damage detection system which provides information of damage existence, damage location and damage severity by visualization of monitored ultrasonic signals.
Abstract:
The present invention relates to a safety diagnosis method for a structure using a nonlinear ultrasonic wave modulation technique. The safety diagnosis method includes: making the structure vibrate by applying signals of different ultrasonic frequencies; converting the responses of the structure generated by the vibration into digital signals; extracting first modulation signals by subtracting the harmonic responses and the linear responses of the signals of different ultrasonic frequencies from the digital signals and synchronously demodulating the digital signals; constructing a first sideband spectrogram by combining the first modulation signals generated by continuously changing at least frequency among the signals of different ultrasonic frequencies; and deciding whether the structure is cracked based on the first sideband spectrogram. Even though the power of the ultrasonic wave applied to the structure is very small as compared with the related art, whether there is the damage is precisely decided, and thus power consumption may be reduced.