In recent years, the focus on quality control in the steel industry has shifted from offline to inline non-destructive testing in order to detect defects at the earliest possible stage in the production process. The detection and elimination of such defects is vital for sustaining product quality and reducing costs. Various measurement principles (e.g. ultrasonic testing, electromagnetic acoustic transducer, x-ray inspection) were analyzed and their advantages and disadvantages are discussed regarding their usability in a steel plant. Based on these findings a magnetic method combined with a new sensor concept was chosen. By using highly sensitive sensors based on the giant magnetoresistive effect, it is possible to detect magnetic flux leakage variations on the surface of a magnetized steel strip caused by defects or inhomogeneities inside the material. Based on promising measurement results of preliminary tests and simulation results obtained by finite element method-models, a prototype is now being built for offline measurements and the optimization of the measurement method. In the event that the development of this second prototype is successful, an inline configuration will be implemented.

No abstract

No abstract

No abstract

Abstract. This paper describes simulations of magnetic field strength distributions for magneto-conductive material in order to be able to optimize a measurement set-up that should be capable to detect minute changes of the magnetic field strength at the surface of a specimen containing some kind of material inhomogeneities or anisotropies of magnetic properties. The sensitivity which ultimately is limited by the noise figure of the sensing effect (GMR = giant magneto resistive effect) can be evaluated with respect to the detection of deviations in eddy current patterns caused by inhomogeneities of the material's conductivity or the anisotropy of magnetic properties of the specimen's material.