The effects of degassing, grain refinement &amp; Sr-addition on melt quality-hot tear sensitivity relationships in cast A380 aluminum alloy

Uludağ, Muhammet; Çetin, Remzi; Dışpınar, Derya; Tiryakioğlu, Murat

doi:10.1016/j.engfailanal.2018.03.025

Cited by 28 publications

(19 citation statements)

References 29 publications

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“…While the presence and amount of Sr have been verified, it has a great influence on many properties of cast Al-Si alloys, such as the mechanical properties [6], the corrosion behavior [7], and the hot tear sensitivity [8]. However, lots of research and practice shows that during the modification treatment of cast Al-Si alloys of the same grade, different additive amounts of Sr (ranging from 0.01% to 0.06%) frequently give rise to the same modification effect.…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Residual Amount of Sr and Morphology of Eutectic Si Phase in A356 Alloy

Zhang

Wei

et al. 2019

Materials

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This paper studied the relationship between the residual amount of Sr and the morphology of the eutectic Si phase in A356 obtained through different modification treatment processes; additionally, the cooling rates of molds were studied. The eutectic Si phase revealed a satisfactory modification effect at residual Sr amounts above 0.01 wt % in A356 alloys cast using an iron mould. Complete modification of the eutectic Si phase could be achieved at a Sr additive amount 0.03 wt % in an A356 melt. The addition of higher amounts of Sr (~0.04–0.06 wt %) did not improve the modification effect. With the addition of 0.06 wt % Sr into A356 alloy melt and holding at 750 °C, the anti-fading capacity of Sr modification effect could be sustained for 120 minutes. More Sr is needed to obtain a good modification of eutectic Si for an A356 alloy cast using a sand mold.

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Section: Introductionmentioning

confidence: 99%

The Relationship between Residual Amount of Sr and Morphology of Eutectic Si Phase in A356 Alloy

Zhang

Wei

et al. 2019

Materials

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“…Ultimately, a hot tear can manifest itself as an unrecoverable fault, which in turn leads to component disposal and economic and time losses. Minimizing the hot tear formation and subsequent losses can be prevented by several options, such as the appropriate choice of material used, mold design and optimization of the gating system [ 7 , 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Returnable Material in Batch on Hot Tearing Tendency of AlSi9Cu3 Alloy

et al. 2021

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The main reason for the use of returnable material, or recycled alloys, is a cost reduction while maintaining the final properties of the casting. The casting resulting quality is directly related to the correct ratio of commercial grade alloy and alloy made by remelting the returnable material in the batch. The casting quality is also affected by the purity of the secondary raw materials used, the shape complexity and the use of the casting itself. The presented article focuses on the effect of increasing the returnable material content in the batch on the hot tearing susceptibility of AlSi9Cu3 alloy. Hot tears are a complex phenomenon that combines metallurgical and thermo-mechanical interactions of the cast metal. Hot tearing susceptibility was evaluated on the basis of quantitative (HTS—hot tearing susceptibility index) and qualitative evaluation. The negative effect of returnable material in the batch was already manifested at a 20% content in the batch. The critical proportion of the returnable alloy in the batch can be stated as 50%. The alloy with a 50% returnable material content manifested insufficient results of the HTS index and qualitative evaluation, which means increased sensitivity to tearing. The negative effect of returnable material and the increased sensitivity were also confirmed in the evaluation of the fracture surface and hot tear profile. The microstructure of alloys with 50% and higher proportion of returnable material was characterized by a higher amount of iron phases (mainly Al5FeSi), whose sharp ends acted as critical regions of hot tearing and subsequent hot tear propagation, which had a major impact on the increase in hot tearing susceptibility.

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“…To understand the melting behavior of the liquid aluminum by each process parameter, Quintana et al [17], Nieckele et al [18], and Bulin' ski et al [19] proposed the numerical solutions considering the heat transfer and the flow behavior based on the process parameters. Numerous studies on the quantification of the dissolved hydrogen content in the liquid aluminum have also attracted much attention from researchers for a long time [11,[20][21][22][23][24][25][26]. Various melt treatments to control the dissolved hydrogen content in the liquid aluminum such as gas bubbling filtration (GBF) [20,21], degassing agent [22,26], and ultrasonication [24,25,27] have been introduced.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies on the quantification of the dissolved hydrogen content in the liquid aluminum have also attracted much attention from researchers for a long time [11,[20][21][22][23][24][25][26]. Various melt treatments to control the dissolved hydrogen content in the liquid aluminum such as gas bubbling filtration (GBF) [20,21], degassing agent [22,26], and ultrasonication [24,25,27] have been introduced. Among these techniques, the GBF is one of the most effective processes, which has an obvious effect on degassing of hydrogen in the liquid aluminum with minimizing the melt loss and the dross formation.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Temperature of Liquid Aluminum and the Dissolved Hydrogen Content in Liquid Aluminum with a Machine Learning Approach

Kim

Yun

Yang

et al. 2020

Metals

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In aluminum casting, the temperature of liquid aluminum and the dissolved hydrogen density are crucial factors to be controlled for the purpose of both quality control of molten metal and cost efficiency. However, the empirical and numerical approaches to predict these parameters are quite complex and time consuming, and it is necessary to develop an alternative method for rapid prediction with a small number of experiments. In this study, the machine learning models were developed to predict the temperature of liquid aluminum and the dissolved hydrogen content in liquid aluminum. The obtained experimental data was preprocessed to be used for constructing the machine learning models by the sliding time window method. The machine learning models of linear regression, regression tree, Gaussian process regression (GPR), Support vector machine (SVM), and ensembles of regression trees were compared to find the model with the highest performance to predict the target properties. For the prediction of the temperature of liquid aluminum and the dissolved hydrogen content in liquid aluminum, the linear regression and GPR models were selected with the high accuracy of prediction, respectively. In comparison to the numerical modeling, the machine learning modeling had better performance, and was more effective for predicting the target property even with the limited data set when the characteristics of the data were properly considered in data preprocessing.

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The effects of degassing, grain refinement & Sr-addition on melt quality-hot tear sensitivity relationships in cast A380 aluminum alloy

Cited by 28 publications

References 29 publications

The Relationship between Residual Amount of Sr and Morphology of Eutectic Si Phase in A356 Alloy

The Relationship between Residual Amount of Sr and Morphology of Eutectic Si Phase in A356 Alloy

Effect of Returnable Material in Batch on Hot Tearing Tendency of AlSi9Cu3 Alloy

Prediction of the Temperature of Liquid Aluminum and the Dissolved Hydrogen Content in Liquid Aluminum with a Machine Learning Approach

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