Showing 2 results for M. Danesh
M. Ebrahimi, M. Moradiyan, H. Moeshginkelk, M. Danesh, and M. Bayat,
Volume 25, Issue 1 (7-2006)
Abstract
This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic
model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in order to check the performance of the motor for any faults in the parts. Then the frequency spectrum of current signals is derived using the Fourier transform and analyzed under various conditions. In the second part of the paper, an analytical discussion of the theoretical principles is presented to arrive at a simple algorithm for fault detection based on neural networks. The neural network has been trained using the information from a 1.1 KW induction motor. Finally, the system is tested with different values of load torque and is found capable of working on-line to detect all normal and ill-performing conditions.
S.m.h. Mirbagheri, M. Daneshmand, Y. Tabatabaie,
Volume 33, Issue 3 (Journal of Advanced Materials- winter 2015)
Abstract
In this paper, the behavior of energy absorption of crush-boxes, made of Aluminum foam advanced material, was investigated based on foam cellular structure homogeneity. Therefore, thin-walled tubes of Cu-Zn30wt.%.brass alloy with 27 mm diameter and 1 mm thickness were filled with A356-10vol.%SiC-Xwt.%. of TiH2 foam liquid. Foam samples with 1, 1.5, 2wt.%. of TiH2 were prepared by Form Grip into the brass tubes in order to produce crush-box .Then the crush-boxes as energy absorber elements were compressed by un-axial loading and then behaviors of progressive buckling foams were measured. Results showed by decreasing A356-10vol.% SiC foam density from 0.93 to 0.88 and then 0.43 g/cm3, the energy absorption would be changed from 12955 to 13465 and then to 11192 J, respectively. The sample with 1.5wt.% of TiH2 and density of 0.88 g/cm3 had the maximum energy absorption. Also, the results of foams cellular structure images showed that foams of homogenous cellular structure had a sizeable effect on the progressive buckling behavior. We developed a new parameter as "sorting coefficient", which can release the foams cellular structure non-homogeneity, and change the crush-boxes energy absorption during the progressive plastic buckling.
