Modelling the electromagnetic response of two-phase steel microstructures

Hao, Xinjiang; Yin, Wuliang; Strangwood, Martin; Peyton, A. J.; Morris, P. F.; Davis, Claire

doi:10.1016/j.ndteint.2010.01.006

Cited by 19 publications

(26 citation statements)

References 16 publications

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“…Assuming, for an arbitrary element n, there is a matrix Q that can represent the stiffness matrix form of the left-hand side of Equations (2) and 3for an arbitrary element,…”

Section: Methods Of the Edge-element Fem Solvermentioning

confidence: 99%

“…In order to achieve accurate control of the steel quality, in particular of the mechanical properties, during manufacturing, it is important to be able to monitor non-destructively the volume fraction and spatial distribution of the phases, as there is a direct link between microstructure and mechanical properties. Previously, multi-frequency electromagnetic (EM) sensors have been shown to be able to measure austenite-ferrite fraction from 0 to 100% in model (HIPped austenitic-ferritic stainless steel powder) alloys [1,2] and ferrite-pearlite steels with uniform second phase distribution in C-Mn steels with different carbon concentrations [3].…”

Section: Introductionmentioning

confidence: 99%

“…Previously, we have proposed a strategy that can directly link the microstructure with the sensor's output [2,13,14]. The EM sensor output has been verified to be an important response symbol of the microstructure.…”

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Electromagnetic Mixing Models for Dual-Phase Steel Microstructures

et al. 2018

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Linking the ferrite fraction in a dual-phase (DP) steel microstructure and its electromagnetic properties is critical in the effort to develop on-line measurement techniques for phase transformation using electromagnetic (EM) sensors. This paper developed a seamlessly integrated method for generating 3D microstructures and evaluating their equivalent permeability values. Both the generation of 3D microstructures and evaluation of equivalent permeability have been achieved through custom modelling packages developed by the authors. Voronoi modelling based on the random close packing of spheres (RCPS-VM) was used to precisely control the ferrite fraction in DP steel microstructure, and an equivalent uniform field method for 3D finite element simulation was developed for efficient analysis.

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“…Assuming, for an arbitrary element n, there is a matrix Q that can represent the stiffness matrix form of the left-hand side of Equations (2) and 3for an arbitrary element,…”

Section: Methods Of the Edge-element Fem Solvermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Electromagnetic Mixing Models for Dual-Phase Steel Microstructures

et al. 2018

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“…From both theoretical modelling and measurement it has been found [3,4] that in the ferrite phase fraction (f  ) domain of 40 -100%, the property r is almost linearly related to f  . Below 40% ferrite phase fraction, r is found to be close to 1.…”

Section: Sensor Detailsmentioning

confidence: 99%

“…From the phase information from the real-time measured induction spectra, the ferrite fraction is determined using the inversed data from measurement models which have been developed at the Universities of Birmingham and Manchester [1,4], and modified by Tata Steel R&D for inline use at elevated temperatures. Figure 7 shows the employed relationships in the measurement models for a hot-rolled carbon manganese steel at room temperature conditions.…”

Section: Procedures To Infer Phase Information From the Measurementmentioning

confidence: 99%

Inline Monitoring of Phase Transformation in Hot Strip Mill

Berg¹,

Yang²,

Mosk³

et al. 2017

Anais Do Seminário De Laminação E Conformação

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In the manufacturing of steel strip for the automotive sector, the mechanical properties are largely defined by the process conditions in the hot strip mill. In particular the phase transformation, from austenite to ferrite, which takes place during the forced cooling stages on the run out table (ROT) after the finishing mill, governs the microstructure and hence the mechanical properties.In current practice, metallurgical models are used to predict the phase state at each position in the strip. These model predictions are supported by pyrometer measurements along the ROT. Although reliable in the majority of the situations, both measurements and models sometimes have difficulties in providing robust output. In this paper, we present a new type of inline measurement, which directly measures the amount of phase transformed. The instrument is based on a technique known as impedance spectroscopy. As result of a collaboration of different institutes and companies, the equipment is robustly running during several years exclusively in the Hot Strip Mill of Tata Steel in IJmuiden.

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Detailed Barkhausen noise and microscopy characterization of Jominy end-quench test sample of CF53 steel

et al. 2019

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Jominy end-quench test samples from CF53 were used for studying the relationship of microstructural changes with the magnetic Barkhausen noise (BN) response. As the Barkhausen noise method is sensitive to both stress and microstructural state, it can be applied for material characterization. This study presents observations from BN measurements with different sensors and from different locations (as-quenched and ground) on the sample surface. Detailed microstructural characterization with a scanning electron microscope and a transmission electron microscope was carried out to correlate the BN responses with the microstructural features. In addition, residual stresses were measured by X-ray diffraction. The results indicate that the ground surface displayed mainly the effect of the grinding compressive stress state, while the as-quenched surface had variations due to higher microstructure sensitivity. An important finding of the results was that the sensitivity of BN to different surface conditions varied: The BN response in the ground area was mainly generated by both the residual stress and the microstructural effect, whereas for the as-quenched surface the microstructural effect was more evident.

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Modelling the electromagnetic response of two-phase steel microstructures

Cited by 19 publications

References 16 publications

Three-Dimensional Electromagnetic Mixing Models for Dual-Phase Steel Microstructures

Three-Dimensional Electromagnetic Mixing Models for Dual-Phase Steel Microstructures

Inline Monitoring of Phase Transformation in Hot Strip Mill

Detailed Barkhausen noise and microscopy characterization of Jominy end-quench test sample of CF53 steel

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