نوع مقاله : مقاله پژوهشی
نویسندگان
دانشگاه صنعتی امیرکبیر
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The use of Eddy Current (EC) technique has proved to be a viable means for crack detection and sizing in metals. In this technique, a crack is evaluated from the observation of probe impedance changes due to the interaction between induced current in a metal and the crack. Since the growth of fatigue crack in metals is a stochastic process, the cracks do not have a constant predetermined shape. Detection and Sizing of the cracks from probe signals witch called inverse problem is important for predicting the life of the workpiece. In this paper, an inverse algorithm based on the particle swarm optimization (PSO) technique is proposed for predicting the crack depth profile from EC probe signals. The validity of the proposed algorithm is demonstrated by comparing the actual and reconstructed depth profiles from measurement EC probe signals.
In this paper, an inverse algorithm based on the particle swarm optimization (PSO) technique is proposed for predicting the crack depth profile from EC probe signals. The validity of the proposed algorithm is demonstrated by comparing the actual and reconstructed depth profiles from measurement EC probe signals.
کلیدواژهها [English]