Measurement and simulation of deformation and stresses in steel casting

Galles, D.; Monroe, Charles; Beckermann, C.

doi:10.1088/1757-899x/33/1/012049

Cited by 5 publications

(3 citation statements)

References 8 publications

(9 reference statements)

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“…The pre-defined boundary conditions were applied in ABAQUS for the dog bone specimen to simulate the creep behavior up to 18,000 h at 720 • C and stress at 126 MPa [55]. The analysis showed promising results covering the primary, secondary, and tertiary stages of creep for the material.…”

Section: Resultsmentioning

confidence: 99%

New Creep Crack Growth Prediction Model for the Life Assessment of Stainless-Steel Material Using Computational Modeling

Sattar,

Othman,

Othman

et al. 2023

Metals

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The limitations of the established and existing creep failure models have inspired the development of a new creep prediction model. Models like Norton–Bailey and Omega are unable to model the tertiary creep curve for engineering materials. Kachanov–Rabotnov, Theta Projection, and Sine hyperbolic models rely on specific material properties for accurate damage predictions. In order to overcome these weaknesses, a new creep model combining the Norton–Bailey and Kachanov–Rabotnov models has been further devised for the creep life prediction of metallic materials. The model combination helps in covering the limitations of one model over another and to benefit from each other’s strengths. A technique of user subroutine scripting was adapted to implement the new creep model in finite element (FE) software of ABAQUS, manufactured by Dassault Systemes, version 2020. The new model was tested on an FE dog bone stainless steel 304 specimen; the analysis showed excellent agreement with the experimental creep deformation data at 600 °C to 700 °C. The creep strain rate curves obtained by the method of user subroutine scripting were found to be 90.69% accurate to the 1000 h experimental creep strain rate curve. Similarly, while comparing with the 336 h experimental creep test, the new model accuracy was found to be 92.66% for the creep strain rate curve. The new model’s precision was 91.56% when compared with the Omega and Norton–Bailey models for creep strain rate for the same conditions. The quantitative accuracy of the new creep model is better as compared to the existing creep models and can be an improved source of alternatives to existing creep models for the deformation predictions.

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Section: Resultsmentioning

confidence: 99%

New Creep Crack Growth Prediction Model for the Life Assessment of Stainless-Steel Material Using Computational Modeling

Sattar,

Othman,

Othman

et al. 2023

Metals

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“…The greater HCP value means the greater hot cracking potential. The dynamic yield stress limit is the modified Ludwik equation [25] , as shown in Eq. (5):…”

Section: Hot Cracking Potential Criterionmentioning

confidence: 99%

Internal shrinkage crack in a 10 t water-cooled steel ingot with a large height-to-diameter ratio

Yang

Shen

2021

China Foundry

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Water-cooled mold casting technology has potential advantages to increase the cooling strength, shorten the solidification time, and refine the macrostructure of the ingot, so as to improve the quality and production rate. Liu et al. [1] investigated the 5 t steel ingots cast in sand molds with and without water cooling, and found that the water-cooled ingot has a less intensive macrosegregation. Meng et al. [2] studied a 3.3 t watercooled steel ingot, and concluded that when the cooling rate is below 1,000 W•m -2 •k -1 , increasing the cooling rate can significantly reduce the melt flow velocity, the mushy zone width and solidification time, and alleviate macrosegregation of the ingot. Zhao et al. [3] cast M2 steel ingots by the water-cooled copper mold and the sand mold, and pointed out that water-cooling could

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“…Therefore, the thermomechanical model with SCP criterion is able to make a valid prediction of the shrinkage crack formation. equivalent plastic strain, and is the equivalent strain rate [16] . The reference shear strain, ε 0 , the reference shear strain rate, , and the equivalent strain rate, , are given in Equations (5)- (7): (5) ( 6 ) (7) where E is the Young's modulus, A is a prefactor, Q is the activation energy, R is the universal gas constant, is the cooling rate, and BTR is the brittle temperature range.…”

Section: Model Validationmentioning

confidence: 99%

Numerical simulation of central shrinkage crack formation in a 234-t steel ingot

Yang¹,

Yueqiao²,

Shen³

et al. 2017

China Foundry

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Abstract:Central shrinkage crack is a common defect encountered in steel ingot casting. It is necessary to limit the degree of crack in case of further propagation in forging. A 234-t steel ingot was dissected to check the internal quality, and a central shrinkage crack band of 1,400 mm in height and 120 mm in width, was found at a distance of 450 mm under the riser bottom line. Then, thermo-mechanical simulation using an elasto-viscoplastic finite-element model was conducted to analyze the stress-strain evolution during ingot solidification. A new criterion considering mush mechanical property in the brittle temperature range as well as shrinkage porosity was used to identify the shrinkage crack potential, where the degree of shrinkage porosity is regarded as a probability factor using a modified sigmoid function. Different casting processes, such as pouring speed, mould preheating and riser insulation, were optimized with the simulation model. The results show that fast pouring, proper mould preheating and good riser insulation can alleviate shrinkage crack potential in the ingot center.

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Measurement and simulation of deformation and stresses in steel casting

Cited by 5 publications

References 8 publications

New Creep Crack Growth Prediction Model for the Life Assessment of Stainless-Steel Material Using Computational Modeling

New Creep Crack Growth Prediction Model for the Life Assessment of Stainless-Steel Material Using Computational Modeling

Internal shrinkage crack in a 10 t water-cooled steel ingot with a large height-to-diameter ratio

Numerical simulation of central shrinkage crack formation in a 234-t steel ingot

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