Transient Unidirectional Solidification, Microstructure and Intermetallics in Sn-Ni Alloys

Cruz, Clarissa; Kakitani, Rafael; Xavierb, Marcella Gautê Cavalcante; Silva, Bismarck Luiz; Garcia, Amauri; Cheung, Noé; Spinelli, José Eduardo

doi:10.1590/1980-5373-mr-2017-1099

Cited by 9 publications

(6 citation statements)

References 35 publications

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“…A previous study performed with a Sn-0.2 wt%Ni alloy solidified vertically upwards in a steel cooled mold demonstrated a critical value of 1.2 K/s for the prevalence of high cooling rate cells [25], which is quite similar to the results found in the present investigation. Both studies resulted in the melt being solutally and thermally stable since the rejection of either Sb or Ni at the solidification front induces the local incidence of solute-enriched liquids denser than the open liquid.…”

Section: Resultssupporting

confidence: 91%

Assessing microstructure and mechanical behavior changes in a Sn-Sb solder alloy induced by cooling rate

Schon

Reyes

Spinelli

et al. 2019

Journal of Alloys and Compounds

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Section: Resultssupporting

confidence: 91%

Assessing microstructure and mechanical behavior changes in a Sn-Sb solder alloy induced by cooling rate

Schon

Reyes

Spinelli

et al. 2019

Journal of Alloys and Compounds

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“…The Al-8%Si-0.8%Fe-2.5%Cu-1.0%Zn, Al-8%Si-0.8%Fe-2.5%Cu-1.0%Zn-0.7%Ni and Al-8%Si-0.8%Fe-2.5%Cu-1.0%Zn-0.7%Co (in wt.%) alloys were manufactured from commercial pure elements (>99.79 mass%), and characterized and tested in the "as-cast" conditions. This directional solidification device, as described in previous research works 18,19 , is water-cooled on the bottom surface of the carbon steel plate 1020 situated at its base. This allowed varied cooling rates to be achieved over the entire length of the ingot.…”

Section: Methodsmentioning

confidence: 99%

The Impacts of Co and Ni Additions to High Solute Content Fe-Contaminated Al alloys in Beneficing Microstructure and Tensile Properties

Xavier,

Spinelli

2024

Mat. Res.

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The accumulation of tramp impurities, particularly Fe, during recycling of Al alloys frequently leads to the production of coarse intermetallics during solidification, which affect final product mechanical properties. Because lowering the Fe concentration and/or using thermomechanical processing to subdivide the particles is expensive, it is preferred to modify the morphology, size, and distribution of the IMCs during solidification. Benefiting the properties of Al-contaminated alloys entails increased recyclability and a reduction in the usage of virgin primary Al and downcycled alloys. The Al-8%Si-0.8%Fe-2.5%Cu-1.0%Zn (in wt.%) alloy was modified with 0.7%Ni and 0.7%Co. Both dendritic growth and tensile properties were evaluated for the three alloys. The secondary dendrite arm spacing values (λ 2 ) were found very refined for all alloys. The λ 2 in the modified alloys was even more reduced. The Co addition of 0.7% reached higher values of tensile strength (220 MPa) as compared to the others without major losses in ductility. The addition of Co can enhance strength by up to 15%, considering more refined microstructures.

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“…Most of the studies [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] employed directional solidification systems to allow microstructural and tensile data to be assessed. After solidifying the casting, transverse (perpendicular to the solidification direction) and longitudinal samples (at various sections from the cooled bottom of the castings) were removed of alloy casting for the metallographic procedure using optical microscopy.…”

Section: Database Generationmentioning

confidence: 99%

Solder Alloy Design: Investigation of Predictive Models for Tensile Properties Based on Different Alloy Compositions and Microstructures

Silva¹,

Gouveia²,

Silva³

et al. 2023

Preprint

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In this study, an extensive data set was based on existing literature records in order to enable the suitability of several predictive models, from Multiple Linear Regression (MLR) to Neural Networks (NN). The main objective was to, through regression analyses, generate model computations to correlate tensile properties (UTS- Ultimate Tensile Strength, YTS – Yield Tensile Strength and EF – Elongation-to-Fracture) to a given alloy composition and microstructural spacing. This investigation led to positive results, as the highest accuracies of the trained modules (in 80% of the database) were found to be above ~82% (UTS and EF) and a maximum of ~98% (YTS), when analyzing the results to a test data set. Later, these models were used to define trends for possible next solder alloy commercial compositions. Overall, using the standard model’s setup, the Random Forest and Decision Tree models showed the highest accuracy results, with 0.958 for YTS as opposed to 0.907 for MLR. Moreover, Multilayer Perceptron (MLP)-optimized models yielded the best results for each variable, with the highest increases in accuracy associated with the YTS and EF. The present contribution might imply an important milestone towards alloy design research based on data science guidelines to unlock the full potential of former experiments and their extensive set of results.

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Transient Unidirectional Solidification, Microstructure and Intermetallics in Sn-Ni Alloys

Cited by 9 publications

References 35 publications

Assessing microstructure and mechanical behavior changes in a Sn-Sb solder alloy induced by cooling rate

Assessing microstructure and mechanical behavior changes in a Sn-Sb solder alloy induced by cooling rate

The Impacts of Co and Ni Additions to High Solute Content Fe-Contaminated Al alloys in Beneficing Microstructure and Tensile Properties

Solder Alloy Design: Investigation of Predictive Models for Tensile Properties Based on Different Alloy Compositions and Microstructures

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