Influence of a wiper on residual stresses in AA7050 rolling plate ingots

Drezet, Jean‐Marie; Pirling, Th.

doi:10.1016/j.jmatprotec.2014.02.011

Cited by 22 publications

(4 citation statements)

References 16 publications

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“…It highly varies from one alloy to another and depends on both the cooling rate and the degree of grain refinement, i.e., on the grain structure such as equiaxed, columnar, globulitic, or globular. It is an important input data in numerical modeling of as-cast residual stresses in billets 11,12 and in rolling sheet ingots 13 as it dictates the temperature below which thermal strains start to occur.…”

Section: Introductionmentioning

confidence: 99%

Determination of Coherency and Rigidity Temperatures in Al-Cu Alloys Using In Situ Neutron Diffraction During Casting

Drezet

Mireux

Száraz

et al. 2014

JOM

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The rigidity temperature of a solidifying alloy is the temperature at which the solid phase is sufficiently coalesced to transmit tensile stress. It is a major input parameter in numerical modeling of solidification processes as it defines the point at which thermally induced deformations start to generate internal stresses in a casting. This temperature has been determined for an Al-13 wt.% Cu alloy using in situ neutron diffraction during casting in a dog-bone-shaped mold. This setup allows the sample to build up internal stress naturally as its contraction is not possible. The cooling on both sides of the mold induces a hot spot at the middle of the sample that is irradiated by neutrons. Diffraction patterns are recorded every 11 s using a large detector, and the very first change of diffraction angles allows for the determination of the rigidity temperature. We measured rigidity temperatures equal to 557°C and 548°C depending on the cooling rate for grain refined Al-13 wt.% Cu alloys. At a high cooling rate, rigidity is reached during the formation of the eutectic phase. In this case, the solid phase is not sufficiently coalesced to sustain tensile load and thus cannot avoid hot tear formation.

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Section: Introductionmentioning

confidence: 99%

Determination of Coherency and Rigidity Temperatures in Al-Cu Alloys Using In Situ Neutron Diffraction During Casting

Drezet

Mireux

Száraz

et al. 2014

JOM

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“…In recent years, numerical simulation has become an important tool for studying the evolution of ingots in the DC casting process. This offers a reliable and efficient solution for the design of large-scale aluminum casting recipes [ 1 , 4 , 9 , 10 , 11 , 12 , 13 ]. Luo et al [ 11 ] employed the finite volume method to study the effect of different casting processes on the macro-segregation distribution of the 2024 aluminum alloy ingots.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation and Machine Learning Prediction of the Direct Chill Casting Process of Large-Scale Aluminum Ingots

Guo,

Yao,

Liu

et al. 2024

Materials

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The large-scale ingot of the 7xxx-series aluminum alloys fabricated by direct chill (DC) casting often suffers from foundry defects such as cracks and cold shut due to the formidable challenges in the precise controlling of casting parameters. In this manuscript, by using the integrated computational method combining numerical simulations with machine learning, we systematically estimated the evolution of multi-physical fields and grain structures during the solidification processes. The numerical simulation results quantified the influences of key casting parameters including pouring temperature, casting speed, primary cooling intensity, and secondary cooling water flow rate on the shape of the mushy zone, heat transport, residual stress, and grain structure of DC casting ingots. Then, based on the data of numerical simulations, we established a novel model for the relationship between casting parameters and solidification characteristics through machine learning. By comparing it with experimental measurements, the model showed reasonable accuracy in predicting the sump profile, microstructure evolution, and solidification kinetics under the complicated influences of casting parameters. The integrated computational method and predicting model could be used to efficiently and accurately determine the DC casting parameters to decrease the casting defects.

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“…In recent years, many scientists and technicians, involved in casting field, have devoted themselves to working out this problem to improve the plasticity [5]. Among all the improvements, wiper technology is the most successful and revolutionary progress [6]. Wiper is a slow cooling unit, located to a certain height at the bottom of crystallizer (See Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Influence of Wiper Height on 7A55 Slabs

Wang

Zhong

Wang

et al. 2016

MSF

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In this paper, weak water cooling technology by wiper is introduced for the casting of 520×1650 mm 7A55 alloy slabs. By analyzing from experiment comprehensively, it indicates that the position of wiper will exert big influence on slab quality. Under the conditions of the experiment, if wiper height is below the bottom of sump, there will be more than 70% possibility for slab to have cracks. If it is excessively higher than 80 mm, the top of the sump, porosity will incur and macro-segregation will be enlarged. The experiment determines the correct height of wiper.

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Influence of a wiper on residual stresses in AA7050 rolling plate ingots

Cited by 22 publications

References 16 publications

Determination of Coherency and Rigidity Temperatures in Al-Cu Alloys Using In Situ Neutron Diffraction During Casting

Determination of Coherency and Rigidity Temperatures in Al-Cu Alloys Using In Situ Neutron Diffraction During Casting

Numerical Simulation and Machine Learning Prediction of the Direct Chill Casting Process of Large-Scale Aluminum Ingots

Influence of Wiper Height on 7A55 Slabs

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