Thermo-Mechanical Finite Element Simulation and Fatigue Life Assessment of a Copper Mould for Continuous Casting of Steel

Novak, Jelena Srnec; Benasciutti, Denis; Bona, Francesco De; Stanojević, Aleksandar; Huter, Patrik

doi:10.1016/j.proeng.2015.12.651

Cited by 24 publications

(23 citation statements)

References 4 publications

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“…The model (2) equally applies to both the elastic and plastic strain-life equations in (1), provided that the appropriate strain amplitude (elastic ε el,a or plastic ε pl,a ) is used to define x. According to a log-transformation from (1) to (2), the intercept A and the slope B take one of the 2 following expressions (subscript "el" is for elastic strain-life equation, "pl" for the plastic one):…”

Section: Linear Regression and Median Strain-life Equationmentioning

confidence: 99%

“…The sample variance s 2 is the unbiased estimator of σ 2 . As they are obtained from a finite set of data, the estimators (4) generally deviate from the "true" parameters in (2). The deviation depends on the particular sample considered and becomes smaller as the sample size n increases (the "true" values would be obtained in the limit n → ∞).…”

Section: Linear Regression and Median Strain-life Equationmentioning

confidence: 99%

“…Elasto-plastic finite element simulations can be used to compute the mould thermo-mechanical response under cyclic thermal loadings. 2 Part 1 of this article showed how material parameters of nonlinear kinematic and isotropic plasticity models could be identified from experimental cyclic data at 3 different temperatures. 3 To estimate the mould service life, computed stress and strain cycles need to be compared with the material fatigue curve.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental characterisation of a CuAg alloy for thermo‐mechanical applications. Part 2: Design strain‐life curves estimated via statistical analysis

Benasciutti

Novak

Moro

et al. 2018

Fatigue Fract Eng Mat Struct

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Strain‐life fatigue data on copper alloys, especially type CuAg, are seldom available in the literature. This work fills this gap by estimating the strain‐life curves of a CuAg alloy used for thermo‐mechanical applications, from isothermal low‐cycle fatigue tests at 3 temperatures (room temperature, 250°C, 300°C). Regression analysis is used to estimate the median fatigue curves at 50% survival probability. The comparison of median curves with the Universal Slopes Equation model, calibrated on monotonic tensile properties, shows a fairly good agreement. Design strain‐life curves with a lower failure probability and given confidence are estimated by several approximate statistical methods (“Equivalent Prediction Interval,” univariate tolerance interval, Owen's tolerance interval for regression). When higher survival probabilities are considered, the results show a marked decrease in the allowable design strain at a prescribed fatigue life. The suggested procedure thus improves the durability analysis of components loaded thermo‐mechanically.

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Section: Linear Regression and Median Strain-life Equationmentioning

confidence: 99%

Section: Linear Regression and Median Strain-life Equationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental characterisation of a CuAg alloy for thermo‐mechanical applications. Part 2: Design strain‐life curves estimated via statistical analysis

Benasciutti

Novak

Moro

et al. 2018

Fatigue Fract Eng Mat Struct

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“…In a recent work [5] dealing with a thermomechanical analysis of a squared mould showed that a huge number of cycles (around 60567) must be performed to reach the stabilized condition. Since the geometry of the squared mould requires a 3D finite element (FE) simulation, even taking into account symmetries and optimizing the mesh, ≈15 min is needed to compute 1 cycle or ≈630 day to obtain final results, according to the value (b≈4) of the speed of stabilization of the mould alloy, see Fig.…”

Section: Numerical Simulation Of Mechanical Components Under Thermal mentioning

confidence: 99%

“…2. The thermal flux distribution varies between two conditions: q=0 when the plant is turned-off due to maintenance and q=q max when the plant operates [5]. Generally, moulds are constituted by a hollow tube of copper alloys while according to the geometry of the final product, different types of cross sections (square, rectangular or rounded) can be adopted.…”

Section: Case Study: Round Mould Under Variable Thermal Fluxmentioning

confidence: 99%

Acceleration techniques for the numerical simulation of the cyclic plasticity behaviour of mechanical components under thermal loads

Novak¹,

Bona

Benasciutti

et al. 2018

MATEC Web Conf.

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Abstract. Numerical simulations of components subjected to cyclic thermo-mechanical loads require an accurate modelling of their cyclic plasticity behaviour. Combined models permit to capture monotonic hardening as well as cyclic hardening/softening phenomena, that occur in reality. In principle the durability assessment of a component under thermal loads can be performed only if the cyclic behaviour is simulated until complete material stabilization. As materials stabilize approximately at half the number of cycles to failure, it follows that in case of small plastic strains a huge number of cycles must be considered and an unfeasible simulation time would be required. Accelerated models have thus been proposed in literature. The aim of this work is that of comparing the different acceleration techniques in the case a round mould for continuous casting loaded thermo-mechanically. It can be observed that the usual approach of using the stabilized stress-strain curve already from the first cycle could lead to relevant errors. An alternative method is that of increasing the value of the parameter that controls the speed of stabilization in the combined model. This approach permits the number of cycles to reach stabilization to be drastically reduced, without affecting the overall mechanical behaviour. Based on this approach, a simple design rule, that can be adopted, particularly when relatively small plastic strains occur, is finally proposed.

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On the damage mechanisms in a continuous casting mold: After-service material characterization and finite element simulation

Novak

Lanzutti

Benasciutti

et al. 2018

Engineering Failure Analysis

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Thermo-Mechanical Finite Element Simulation and Fatigue Life Assessment of a Copper Mould for Continuous Casting of Steel

Cited by 24 publications

References 4 publications

Experimental characterisation of a CuAg alloy for thermo‐mechanical applications. Part 2: Design strain‐life curves estimated via statistical analysis

Experimental characterisation of a CuAg alloy for thermo‐mechanical applications. Part 2: Design strain‐life curves estimated via statistical analysis

Acceleration techniques for the numerical simulation of the cyclic plasticity behaviour of mechanical components under thermal loads

On the damage mechanisms in a continuous casting mold: After-service material characterization and finite element simulation

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