An energetic approach in thermomechanical fatigue for silicon molybdenum cast iron

Charkaluk, Éric; Constantinescu, Andréï

doi:10.3184/096034000783640767

Cited by 38 publications

(33 citation statements)

References 8 publications

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“…These stresses produce a thermal fatigue damage of the hot components coupled with the effects of high temperatures such as oxidation, 1 viscoplasticity and creep. 2,3 Correspondence: A. KTARI. E-mail: ahmedingmat@yahoo.fr Generally experimental results of thermal fatigue testing give realistic and reliable information on the material resistance under cyclic thermal load, but the characterization of real structures in thermal fatigue under service condition is very difficult to do because of their complex geometries and especially their large size.…”

Section: Introductionmentioning

confidence: 99%

Numerical computation of thermal fatigue crack growth of cast iron

Ktari¹,

Haddar²,

Köster³

et al. 2011

Fatigue &Amp; Fracture of Engineering Materials &Amp; Structures

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International audienceThermal fatigue experiments have been carried out on a single-edge wedge specimen of the SiMo cast iron to reproduce the conditions experienced by exhaust manifolds during operation. The leading edge temperature was cycled between 20 and 750 °C and the temperature distribution on the specimen surface was measured by thermocouples throughout the thermal cycle. Due to the complexity of the loading and interaction effects between cracks, numerical simulation of crack propagation and shielding effects in multicracked structures appear a useful way to analyze this problem. Therefore, 3D thermo-mechanical computation was performed with the finite element code ABAQUS of both un-cracked and multicracked specimen. This computation allowed us to assess the temperature, stresses and strains distribution over a thermal fatigue specimen and the estimation of the crack growth rate using the energy criteria based on the calculation of the J-integral crack tip

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Section: Introductionmentioning

confidence: 99%

Numerical computation of thermal fatigue crack growth of cast iron

Ktari¹,

Haddar²,

Köster³

et al. 2011

Fatigue &Amp; Fracture of Engineering Materials &Amp; Structures

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“…This assumption has been already justified in a series of papers. 6,14,4,15 We shortly recall here that the fatigue analysis will be based on a stabilized cyclic behaviour, i.e. a plastic shakedown state, which has to be obtained as the result of the elastoplastic analysis.…”

Section: At E R I a L P R O P E R T I E S A N D M O D E L L I N G Amentioning

confidence: 99%

“…The numerical method is presented in this paper (Part I) and continues with the discussion of fatigue criteria in the second part (Part II). 2 Regarding previous studies on structures, we might mention the studies on cast-iron exhaust manifolds and aluminum cylinder heads 4,5 where damage was supposed to be uncoupled from the constitutive behaviour. A dissipated energy criterion has been used for lifetime predictions based on the mechanical fields computed on the plastic shakedown cycle.…”

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confidence: 99%

A computational lifetime prediction of a thermal shock experiment. Part I: thermomechanical modelling and lifetime prediction

Amiable

Chapuliot

Constantinescu

et al. 2006

Fatigue Fract Eng Mat Struct

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A B S T R A C TThe SPLASH experiment has been designed in 1985 by the CEA to simulate thermal fatigue due to short cooling shocks on steel specimens and is similar to the device reported by Marsh in Ref.[1]. The purpose of this paper is to discuss the mechanical and the fatigue analysis of the experiment using results from FEM computations. The lifetime predictions are obtained using a modified dissipated energy with a maximal pressure term and agree with the experimental observations. The numerical analysis of the mechanical state shows an important evolution of the triaxiality ratio during the loading cycle. Further comparisons and discussions of the fatigue criteria are provided in the second part of the paper (Part II) 2 .A = elastic 4th order tensor c, k = thermal capacity and conductivity E, ν = young's modulus and Poisson's coefficient J 2 = second invariant of the deviatoric stress tensor P = hydrostatic pressure p = cumulated plastic strain q = thermal flux r = heat source T = temperature field TF = triaxiality factor u = displacement field W p = dissipated energy density per cycle σ , = equivalent stress and strain ranges , e = strain tensor and its deviatoric part e , p = elastic and plastic strain tensors ρ = volumic mass σ Y = elastic limit σ, s = stress tensor and its deviatoric part I N T R O D U C T I O NA series of industrial structures like turbines, engines, nuclear or classical thermal plants are subject to thermomechanical cycling leading to fatigue. The actual design and

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“…This definition is easily computed for every load path whether uniaxial or multiaxial and has been successfully applied in series of lifetime prediction on cast iron 19,26 and aluminum structures. 27 The distribution of data points is satisfactory, except for the points representing the SPLASH test, as shown in Fig.…”

Section: Dissipated Energy Density Fatigue Parametermentioning

confidence: 99%

A computational lifetime prediction of a thermal shock experiment. Part II: discussion on difference fatigue criteria

Amiable¹,

Chapuliot

Constantinescu³

et al. 2006

Fatigue Fract Eng Mat Struct

Self Cite

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A B S T R A C TThe SPLASH experiment has been designed in 1985 by the CEA to simulate thermal fatigue due to cooling shocks on steel specimens and is similar to the device reported by Marsh in Ref.[1]. The purpose of this paper is to discuss the application of different fatigue criteria in this case. The fatigue criteria: dissipated energy, Manson Coffin, Park and Nelson, dissipated energy with a pressure term, are determined for the experiment using results from FEM computations presented in the first part of the paper (Part I) 2 and compared with results from uniaxial and multiaxial experiments from literature. The work emphasizes the evolution of the triaxiality ratio during the loading cycle.A = elastic 4th order tensor c, k = thermal capacity and conductivity E, ν = young's modulus and Poisson's coefficient J 2 = second invariant of the deviatoric stress tensor P = hydrostatic pressure p = cumulated plastic strain q = thermal flux r = heat source T = temperature field TF = triaxiality factor u = displacement field W p = dissipated energy density per cycle σ , = equivalent stress and strain ranges , e = strain tensor and its deviatoric part e , p = elastic and plastic strain tensors ρ = volumic mass σ Y = elastic limit σ, s = stress tensor and its deviatoric part I N T R O D U C T I O NIn Part I of this paper, we discussed the complete mechanical analysis of the SPLASH experiment and presented a first lifetime estimation with a modified dissipated energy with a pressure term fatigue criterion.We recall that the experiment is a thermal shock fatigue test. The sample is heated during the complete thermal cycle (7.75 s) by Joule effect and is cyclically cooled down during a very short period (0.25 s) by a water spray on a small area on two opposite faces. This leads to high gradients in the specimen and as a consequence a complete structural analysis is needed in order to estimate the values of the thermomechanical fields. The test is characterized by the temperature difference T between the

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An energetic approach in thermomechanical fatigue for silicon molybdenum cast iron

Cited by 38 publications

References 8 publications

Numerical computation of thermal fatigue crack growth of cast iron

Numerical computation of thermal fatigue crack growth of cast iron

A computational lifetime prediction of a thermal shock experiment. Part I: thermomechanical modelling and lifetime prediction

A computational lifetime prediction of a thermal shock experiment. Part II: discussion on difference fatigue criteria

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