Banca de QUALIFICAÇÃO: GUDSON NICOLAU DE MELO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : GUDSON NICOLAU DE MELO
DATA : 23/08/2019
HORA: 16:30
LOCAL: Sala de aulas do PPGCEM
TÍTULO:

MAGNETIC BARKHAUSEN NOISE POTENTIAL AS NON-DESTRUCTIVE EVALUATION MICROSTRUCTURAL

PALAVRAS-CHAVES:

Barkhausen noise, Ferromagnetic, Microstructure and Non-destructive testing

PÁGINAS: 101
GRANDE ÁREA: Engenharias
ÁREA: Engenharia de Materiais e Metalúrgica
RESUMO:

Several studies have shown Magnetic Barkhausen Noise (MBN) as an excellent alternative for application in principles of techniques for Non-Destructive Testing (NDT) of ferromagnetic materials such as steels. These materials are widely used in industry critical components that require stringent monitoring and inspection by international standards. The MBN phenomenon consists of electrical voltage pulses that occur in the release of energy due to the movement and annihilation of the magnetic domain walls in the magnetization process of ferromagnetic materials. The behavior of MBN have be directly related to the microstructural aspects in the materials because they act by counteracting the movement of the domain walls. Therefore, this work proposes to relate the microstructure obtained in heat-affected regions when welding an AISI 1020 steel plate through specimens extracted from points of interest of the weld bead to use them in magnetization experiments by means of open circuit induction technique. Through the aid of a sensor coil, it is possible to identify voltage pulses along the magnetization that are relative to the effect of MBN. Microscopic analyzes were performed on the specimens to identify specific weld zones and the predominant microconstituents. The Backscattered Electron Diffraction (EBSD) technique made possible to estimate microstructure data regarding grain size and distribution and phase percentage. The MBN behavior have measured by the RMS (mean square root) curves calculated for the noise detected by the sensor coil. Grain boundary length and bainitic microconstituent percentages significantly influenced the noise RMS curves.

MEMBROS DA BANCA:
Presidente - 1508681 - FELIPE BOHN
Externo ao Programa - 1938946 - NICOLAU APOENA CASTRO
Interno - 1350249 - RUBENS MARIBONDO DO NASCIMENTO