The negative effect of solution treatment on the age hardening of A356 alloy

Long, Houwen; Chen, J.H.; Liu, C.H.; Li, D.Z.; Li, Y.Y.

doi:10.1016/j.msea.2012.12.093

Cited by 41 publications

(17 citation statements)

References 20 publications

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“…Long et al [29] studied the implication of mixture enhancement on age hardening of A356 Al-70Si-0.3 Mg alloy by evaluating the hardness and microscopy election. Experimental findings revealed that Mg atoms migrate to the holes in A356 as solution treatment continued.…”

Section: Literature Review 21 Extant Literature Review Concerning A3mentioning

confidence: 99%

Taguchi Optimisation of Cast Geometries for A356/Organic Particulate Aluminium Alloy Composites Using a Two-Phase Casting Process

Nwafor

Oke

Ayanladun

2019

JASPE

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The A356 alloy is widely known to exhibit an extremely superior casting, machining, mechanical, and corrosion resistance properties. Despite these, it constitutes an environmental nuisance at its improper disposal for worn-out engine blocks. Also, organic reinforcements have the potentials to reduce the environmental impacts of composites. Consequently, there exits significant research potential to fuse A356 alloy with organic materials to obtain enhanced composite properties. In the area of aluminium matrix, as melting and solidifications of materials are done the accuracy of measurements is driven by the huge array of process parameters and the geometrical aspect of cast components is important. For these reasons, we attempt to solve the problem of optimising the geometry of casts in a complicated scenario with the use of the robust Taguchi's methods. To optimise the framework, the significant process parameters are identified and their effects studied in a route using Taguchi, Taguchi-Pareto and Taguchi–ABC methods. Parameters such as the volume of the cast, length, weight, density, height, width, breadth, weight loss and the total weight of organic materials infused into the melting process were studied for parametric changes, interactions and optimisation with L27 orthogonal array. The analysis of variance for the A356 alloy cast revealed that the density parameter of cast 1 had the highest and major significant effect on the casting process with a variance of 333573, followed by weight parameter of casts 1 and 2, total weight of organic material parameters and weight loss with the variance values of 0.007, 0.005, 0.001 and 0.004, respectively. The variance of other parameters was insignificant to the A356 alloy cast.

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Section: Literature Review 21 Extant Literature Review Concerning A3mentioning

confidence: 99%

Taguchi Optimisation of Cast Geometries for A356/Organic Particulate Aluminium Alloy Composites Using a Two-Phase Casting Process

Nwafor

Oke

Ayanladun

2019

JASPE

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“…The spacing between the particles increased evidently too. It has been proved that structure containing large and elongated particles but small dislocation slip distances (within the dendrite cells) exhibited a high particle cracking rate and thus a low ductility [26]. Therefore, especially for unmodified A356 alloy, structure refinement by means of solution treatment for enough time is very important in improving the ductility.…”

Section: Microstructural Evaluationmentioning

confidence: 99%

Selection of optimal solution heat treatment of the casting cylinder heads

et al. 2018

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Abstract. The effect of solution treatment on mechanical properties (UTS, elongation, Brinell hardness) and microstructure (Si-morphology and Si-size) of an aluminium alloy (A356) used for casting cylinder heads was studied. The tests were carried out with specimens machined from the bulkheads of V8 engine blocks cast by the low pressure process. The samples were tested in as-cast and T6 heat treating conditions (solution heat treatment at 530°C with different time -2, 3, 4, 5, 6, 7 hours, quenching in water at 20°C and precipitation hardened for 4 hour at 160°C). The results show that used heat treatment improves mechanical properties of the cylinder head casts. Tensile strength and hardness of specimens increase with solution treatment time. The hardness is a reflection of solution strengthening and silicon particle distribution in matrix. Solution temperature 530°C and 5 hours solution time is appropriate to obtain better morphology and distribution of Si particles in microstructure. Prolonged solution treatment (more than 5 hours) leads to a coarsening of the Si particles, while the numerical Si density decreases. As the particle density decreases, a fewer number of sites are available for crack nucleation, and hence, the fracture properties are improved. The data obtained from this study will be used to improve process control, and to help the selection of heat treatment of the casting for future products.

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“…The A356 and A357 alloys are two representative Al–7Si alloys with Mg contents ranging from 0.3 to 0.7 wt.% [2,3,4]. They are heat-treatable casting alloys, which can be strengthened by the precipitation of Mg 2 Si after T6 treatment [5,6]. The Mg element is a major alloying element for the formation of most effective hardening phase-metastable β″-Mg 2 Si phases.…”

Section: Introductionmentioning

confidence: 99%

“…Yıldırım et al [7] and Thirugnanam et al [8] reported the effects of Mg amount on the intermetallics and properties of A356 alloys. Zhu et al [9] and Long et al [5] presented the effects of T6 heat treatment on a modified A356 alloy. However, the previous researches discussed the effect of Mg content and heat treatment parameters independently.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Relationship Analysis of Mechanical Properties with Mg Content and Heat Treatment Parameters in Al–7Si Alloys Using Artificial Neural Network

Zhang

Haiyang

et al. 2019

Materials

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In this paper, an artificial neural network (ANN) model with high accuracy and good generalization ability was developed to predict and optimize the mechanical properties of Al–7Si alloys. The quantitative correlation formulas of the mechanical properties with Mg content and heat treatment parameters were established based on the transfer function and weight values. The relative importance of the input variables, Mg content and heat treatment parameters, on the mechanical properties of Al–7Si alloys were identified through sensitivity analysis. The results indicated that the mechanical properties of Al–7Si alloys were sensitive to Mg content and aging temperature. Then the individual and the combined influences of these input variables on the properties of Al–7Si alloys were simulated and the process parameters were optimized using the artificial neural network model. Finally, the proposed model was validated to be a robust tool in predicting the mechanical properties of the Al–7Si alloy by conducting experiments.

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The negative effect of solution treatment on the age hardening of A356 alloy

Cited by 41 publications

References 20 publications

Taguchi Optimisation of Cast Geometries for A356/Organic Particulate Aluminium Alloy Composites Using a Two-Phase Casting Process

Taguchi Optimisation of Cast Geometries for A356/Organic Particulate Aluminium Alloy Composites Using a Two-Phase Casting Process

Selection of optimal solution heat treatment of the casting cylinder heads

Quantitative Relationship Analysis of Mechanical Properties with Mg Content and Heat Treatment Parameters in Al–7Si Alloys Using Artificial Neural Network

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