Decarburization

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C. L. Davis - One of the best experts on this subject based on the ideXlab platform.

  • Measurement of decarburisation of steel rods with an electromagnetic sensor using an analytical model
    2009 IEEE Instrumentation and Measurement Technology Conference, 2009
    Co-Authors: A. J. Peyton, Martin Strangwood, C. L. Davis
    Abstract:

    This paper presents the measurement of Decarburization of steel rods with an electromagnetic sensor using an analytical model. Loss of carbon (Decarburization) at the steel surface can have a significantly detrimental effect on mechanical properties of products, since hardness, fatigue, strength, and wear properties are strongly dependent on carbon content. Currently, measurement of Decarburization is by destructive methods, such as metallographic observation or hardness tests on a sample cross section after processing. A nondestructive EM method is proposed in this paper. An analytical solution for the inductance of a circular air-cored coil encircling a steel rod is deduced and further a simplified model is obtained which shows that with certain setups the thickness of the decarburisation layer is proportional to the inductance difference with and without the sample' presence. Using this simplified model, decarburisation thickness can be easily obtained. The results have been verified by both Finite Element Models and metallographic observations.

  • Off-line measurement of Decarburization of steels using a multifrequency electromagnetic sensor
    Scripta Materialia, 2008
    Co-Authors: X. J. Hao, Wuliang Yin, Anthony Peyton, Martin Strangwood, P. F. Morris, C. L. Davis
    Abstract:

    A multifrequency electromagnetic sensor was used to measure Decarburization in steel. Decarburization samples were generated by heat treating Fe–0.8 wt.% C steel rods for various times in air at 1000 °C. The inductance value of the sensor at different frequencies varied as a function of Decarburization depth due to the difference in magnetic permeability between ferrite and pearlite. The relationship between sensor output and decarburized layer thickness was modelled using finite element software.

Ernst Kozeschnik - One of the best experts on this subject based on the ideXlab platform.

  • investigation of Decarburization in spring steel production process part i experiments
    Steel Research International, 2009
    Co-Authors: Dorel Anghelina, D Burzic, J Zamberger, R Kienreich, Herbert Schifferl, Wilfried Krieger, Ernst Kozeschnik
    Abstract:

    Decarburization and oxidation have considerable influence on the product properties of spring steels. The investigations in part I of this paper concentrate on the experimental determination of the influence of different thermal cycles on the Decarburization process. With the thermo-mechanical simulator Gleeble 1500, the influence of different process parameters, such as the time between furnace reheating and hot rolling, the hot rolling temperature, finish rolling temperature, laying temperature, and the α→γ phase transformation temperature range, is systematically investigated. In part II of this paper [15], numerical simulation techniques are applied to simulate the Decarburization behavior under the experimental conditions, which are described in the present part I.

  • investigation of Decarburization in spring steel production process part ii simulation
    Steel Research International, 2009
    Co-Authors: Dorel Anghelina, D Burzic, Wilfried Krieger, Ernst Kozeschnik
    Abstract:

    In part I of this paper, the Decarburization and oxidation behavior of spring steel during simulated thermal cycles resembling the conventional production process have been investigated experimentally. In part II, the results obtained from part I are studied theoretically and numerically by various computational methods. The phenomena discussed in this study include the influence of composition on phase transformation and on diffusion behavior of carbon, Decarburization process calculations by simulations of diffusion controlled phase transformations with the software DICTRA, and the development of a simple integrated model to describe simultaneously the Decarburization and oxidation kinetics. The simulations show good agreement with experimental results. Moreover, the simulation methodologies can be used to optimize processing parameters and steel composition.

Wuliang Yin - One of the best experts on this subject based on the ideXlab platform.

  • Measurement of decarburisation of steel rods with an electromagnetic sensor using an analytical model
    NDT & E International, 2010
    Co-Authors: Wuliang Yin, X. J. Hao, Anthony Peyton, Martin Strangwood, Claire Davis
    Abstract:

    This paper presents the measurement of Decarburization of steel rods with an electromagnetic sensor using an analytical model both in online and offline scenarios. Loss of carbon (Decarburization) at the steel surface can have a significantly detrimental effect on mechanical properties of products, since hardness, fatigue, strength and wear properties are strongly dependent on carbon content. Currently, measurement of Decarburization is by destructive methods, such as metallographic observation or hardness tests on a sample cross-section after processing. A non-destructive EM method is proposed in this paper. An analytical solution for the inductance of a circular air-cored coil encircling a steel rod is deduced and further a simplified model is obtained which shows that for both online and offline cases, the thickness of the decarburisation layer is proportional to the inductance difference with and without decarburisation. Using this simplified model, decarburisation thickness can be obtained. The results have been verified by both finite element models and metallographic observations.

  • Off-line measurement of Decarburization of steels using a multifrequency electromagnetic sensor
    Scripta Materialia, 2008
    Co-Authors: X. J. Hao, Wuliang Yin, Anthony Peyton, Martin Strangwood, P. F. Morris, C. L. Davis
    Abstract:

    A multifrequency electromagnetic sensor was used to measure Decarburization in steel. Decarburization samples were generated by heat treating Fe–0.8 wt.% C steel rods for various times in air at 1000 °C. The inductance value of the sensor at different frequencies varied as a function of Decarburization depth due to the difference in magnetic permeability between ferrite and pearlite. The relationship between sensor output and decarburized layer thickness was modelled using finite element software.

X. J. Hao - One of the best experts on this subject based on the ideXlab platform.

  • Measurement of decarburisation of steel rods with an electromagnetic sensor using an analytical model
    NDT & E International, 2010
    Co-Authors: Wuliang Yin, X. J. Hao, Anthony Peyton, Martin Strangwood, Claire Davis
    Abstract:

    This paper presents the measurement of Decarburization of steel rods with an electromagnetic sensor using an analytical model both in online and offline scenarios. Loss of carbon (Decarburization) at the steel surface can have a significantly detrimental effect on mechanical properties of products, since hardness, fatigue, strength and wear properties are strongly dependent on carbon content. Currently, measurement of Decarburization is by destructive methods, such as metallographic observation or hardness tests on a sample cross-section after processing. A non-destructive EM method is proposed in this paper. An analytical solution for the inductance of a circular air-cored coil encircling a steel rod is deduced and further a simplified model is obtained which shows that for both online and offline cases, the thickness of the decarburisation layer is proportional to the inductance difference with and without decarburisation. Using this simplified model, decarburisation thickness can be obtained. The results have been verified by both finite element models and metallographic observations.

  • Off-line measurement of Decarburization of steels using a multifrequency electromagnetic sensor
    Scripta Materialia, 2008
    Co-Authors: X. J. Hao, Wuliang Yin, Anthony Peyton, Martin Strangwood, P. F. Morris, C. L. Davis
    Abstract:

    A multifrequency electromagnetic sensor was used to measure Decarburization in steel. Decarburization samples were generated by heat treating Fe–0.8 wt.% C steel rods for various times in air at 1000 °C. The inductance value of the sensor at different frequencies varied as a function of Decarburization depth due to the difference in magnetic permeability between ferrite and pearlite. The relationship between sensor output and decarburized layer thickness was modelled using finite element software.

Martin Strangwood - One of the best experts on this subject based on the ideXlab platform.

  • Measurement of decarburisation of steel rods with an electromagnetic sensor using an analytical model
    NDT & E International, 2010
    Co-Authors: Wuliang Yin, X. J. Hao, Anthony Peyton, Martin Strangwood, Claire Davis
    Abstract:

    This paper presents the measurement of Decarburization of steel rods with an electromagnetic sensor using an analytical model both in online and offline scenarios. Loss of carbon (Decarburization) at the steel surface can have a significantly detrimental effect on mechanical properties of products, since hardness, fatigue, strength and wear properties are strongly dependent on carbon content. Currently, measurement of Decarburization is by destructive methods, such as metallographic observation or hardness tests on a sample cross-section after processing. A non-destructive EM method is proposed in this paper. An analytical solution for the inductance of a circular air-cored coil encircling a steel rod is deduced and further a simplified model is obtained which shows that for both online and offline cases, the thickness of the decarburisation layer is proportional to the inductance difference with and without decarburisation. Using this simplified model, decarburisation thickness can be obtained. The results have been verified by both finite element models and metallographic observations.

  • Measurement of decarburisation of steel rods with an electromagnetic sensor using an analytical model
    2009 IEEE Instrumentation and Measurement Technology Conference, 2009
    Co-Authors: A. J. Peyton, Martin Strangwood, C. L. Davis
    Abstract:

    This paper presents the measurement of Decarburization of steel rods with an electromagnetic sensor using an analytical model. Loss of carbon (Decarburization) at the steel surface can have a significantly detrimental effect on mechanical properties of products, since hardness, fatigue, strength, and wear properties are strongly dependent on carbon content. Currently, measurement of Decarburization is by destructive methods, such as metallographic observation or hardness tests on a sample cross section after processing. A nondestructive EM method is proposed in this paper. An analytical solution for the inductance of a circular air-cored coil encircling a steel rod is deduced and further a simplified model is obtained which shows that with certain setups the thickness of the decarburisation layer is proportional to the inductance difference with and without the sample' presence. Using this simplified model, decarburisation thickness can be easily obtained. The results have been verified by both Finite Element Models and metallographic observations.

  • Off-line measurement of Decarburization of steels using a multifrequency electromagnetic sensor
    Scripta Materialia, 2008
    Co-Authors: X. J. Hao, Wuliang Yin, Anthony Peyton, Martin Strangwood, P. F. Morris, C. L. Davis
    Abstract:

    A multifrequency electromagnetic sensor was used to measure Decarburization in steel. Decarburization samples were generated by heat treating Fe–0.8 wt.% C steel rods for various times in air at 1000 °C. The inductance value of the sensor at different frequencies varied as a function of Decarburization depth due to the difference in magnetic permeability between ferrite and pearlite. The relationship between sensor output and decarburized layer thickness was modelled using finite element software.