Properties of AlZn10Si8Mg Alloys for High Performances Application

Rosso, Mario; Peter, Ildiko; Castella, Christian; Molina, R.

doi:10.1007/978-3-319-48144-9_37

Cited by 6 publications

(7 citation statements)

References 16 publications

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“…Aluminum casting alloys are an essential part of the manufacturing of shaped castings, especially in the aerospace and automotive industries, owing to their favorable properties, such as low density, good formability, high strength-stiffness-to-weight ratio, and good corrosion resistance. Al-Si alloys are used to produce cylinder heads, cylinder blocks, crankshaft, and pistons [1][2][3][4]. The Si content of Al-Si alloys determines not only their mechanical properties but also their corrosion resistance [5].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Corrosion Rate of Al–Si Alloys Using Optimal Regression Methods

Сабер¹,

Taha²,

El-Aziz³

2021

Intelligent Automation &Amp; Soft Computing

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In this study, optimal regression learner methods were used to predict the corrosion behavior of aluminum-silicon alloys (Al-Si) with various Si ratios in different media. Al-Si alloys with 0, 1%, 8%, 11.2%, and 15% Si were tested in different media with different pH values at different stirring speeds (0, 300, 600, 750, 900, 1050, and 1200 rpm). Corrosion behavior was evaluated via electrochemical potentiodynamic test. The corrosion rates (CRs) obtained from the corrosion tests were utilized in the formation of datasets of various machine regression learner optimization (MRLO) methods, namely, decision tree, support vector machine, Gaussian process regression, and ensemble method. Stirring speeds, solution pH, and Si ratio were adopted as inputs, whereas the CRs were employed as the outputs. These parameters were applied to build optimal models of the four MRLO methods. The regression learner methods were implemented and conducted in 2020b MATLAB/software regression learner toolbox. The MRLO methods were validated by comparing them with an artificial neural network (ANN) model. Experimental results showed that the CR of the Al-Si alloys increased with the increase in stirring speeds. The highest CR was recorded at pH 3.5. Moreover, the addition of Si to pure Al as a hypoeutectic alloy (1% and 8% Si) or a hypereutectic alloy (15% Si) improved the CR of pure Al. The CR in the solution containing only Al 2 O 3 particles with pH 7.75 was smaller compared with that of the solution containing H 2 SO 4 . The Gaussian process regression model had the highest CR prediction accuracy with the lowest minimum mean square error (0.000446607). The results demonstrated that the proposed GPR model was more effective than the ANN model.

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Section: Introductionmentioning

confidence: 99%

Prediction of the Corrosion Rate of Al–Si Alloys Using Optimal Regression Methods

Сабер¹,

Taha²,

El-Aziz³

2021

Intelligent Automation &Amp; Soft Computing

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“…The properties (low density, high strength stiffness to weight ratio, good formability and good corrosion resistance) make aluminum alloys an ideal material for the manufacturing of components for automotive and aerospace applications [2][3][4][5]. The main components of internal combustion engines such as cylinder head, cylinder block, crankshaft and pistons are the main automotive components where aluminum cast alloys are used.…”

Section: Introductionmentioning

confidence: 99%

“…This class of alloys has a particular characteristic: they are subjected to a natural ageing phenomenon and after a period of about 7 to 10 days can achieve good final mechanical properties without any further thermal treatment [2,25,26]. This is a good opportunity to reduce the final production costs.…”

Section: Introductionmentioning

confidence: 99%

Role of Chemical Composition in Corrosion of Aluminum Alloys

Kuchariková

Liptáková

Tillová

et al. 2018

Metals

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Aluminum alloys are the most important part of all shaped castings manufactured, especially in the aerospace and automotive industries. This work focuses on the corrosion properties of the heat-hardening aluminum alloys commonly used for production of automotive castings AlSi7Mg0.3 and on self-hardening AlZn10Si8Mg. Iron is a common impurity in aluminum cast alloy and its content increases by using secondary aluminum alloys. Therefore, experimental materials were developed, with chemical composition according to standards (primary alloys) and in states with an increasing content of Fe. The experimental aluminum alloys are briefly discussed in terms of their chemical composition, microstructure, mechanical properties and corrosion behavior. Corrosion properties were examined using three types of corrosion tests: exposure test, potentiodynamic tests, and Audi tests. Corrosion characteristics of materials were evaluated using stereo, optical and scanning electron microscopy, energy dispersive X-ray analysis, too. Correlation of pit initiation sites with microstructural features revealed the critical role of iron-rich phases, silicon particles and corresponding alloy matrix.

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“…These materials are profitable for each industry field thanks to the costs, the high mechanical properties, the ductility, the good corrosion resistance etc. and so they can be used as replacements of steels and cast iron for the production of components (Eperješi et al, 2014;Uhríčik et al, 2014;Alfieria et al, 2015;Rosso et al, 2013;Rosso et al, 2014;Castella, 2015). Generally, these alloys contain high percentage of alloying elements that form a structural components.…”

Section: Introductionmentioning

confidence: 99%

“…Last few decades is a high tendency to minimize the energy consumption in order to have a minor impact on the environment and therefore is a great effort to use instead of secondary aluminum alloys, self-hardening aluminum alloys for industrial applications (Rosso et al, 2014;Castella, 2015;Tillová et al, 2015;Hirsch, 2009;2011;2014). Selfhardening aluminum alloys have high mechanical properties without needs of heat treatment, because these materials are subjected to a natural ageing phenomenon at room temperature after casting for a storage period of about 7-10 days (Rosso et al, 2013;2014;Peter et al, 2014;Tillová et al, 2017) and achieve the desired properties for application in different industrial fields.…”

Section: Introductionmentioning

confidence: 99%

Influencing the Mechanical Properties of Engine and Vehicle Constructions Alloy with Laser Surface Heating

Kuchariková¹,

Tillová²,

Belán³

et al. 2018

Period. Polytech. Transp. Eng.

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The self-hardening aluminum alloys are interesting for producers of casting, because these materials have the required properties without using heat treatment. This casts production result in the following advantages: energy saving, reduction of the costs, no permanent deformation, largest casting dimensions possible, and so on. Nevertheless, it is well known that improvement of mechanical properties and structure of aluminum alloys can often significantly increase the lifetime of casting and reduce costs for fuel and reduction of environmental loading. The basic and energy saving method for improvement of mechanical properties of self-hardened alloys is surface hardening. Surface hardening improves properties such as: corrosion resistance, wear resistance and hardness. In regards this facts great interest in reducing the cost of components makes a great opportunity for use laser surface processing. Therefore this article deals with using laser surface heating and evaluations its influence onto mechanical properties of self-hardening ENAC-71100, i.e. AlZn10Si8Mg cast alloy. This alloy is especially used for engine and vehicle constructions, hydraulic unit and mound so the surface properties are important for application in industries. The results show that laser surface heating have influence on properties, but well defined conditions of heating are very important.

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Properties of AlZn10Si8Mg Alloys for High Performances Application

Cited by 6 publications

References 16 publications

Prediction of the Corrosion Rate of Al–Si Alloys Using Optimal Regression Methods

Prediction of the Corrosion Rate of Al–Si Alloys Using Optimal Regression Methods

Role of Chemical Composition in Corrosion of Aluminum Alloys

Influencing the Mechanical Properties of Engine and Vehicle Constructions Alloy with Laser Surface Heating

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