Comparative Study on Cavitation Erosion Resistance of A356 Alloy and A356FA5 Composite

Maksimović, Vesna; Devečerski, Aleksandar; Došen, Anja; Bobić, Ilija; Erić, Milić D.; Volkov‐Husović, Tatjana

doi:10.1007/s12666-016-0864-1

Cited by 9 publications

(6 citation statements)

References 14 publications

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“…Therefore, these Si crystals are probably generated during alloy solidification. The observed morphology of the base alloy matches with literature data [8,25]. b).…”

Section: Resultssupporting

confidence: 89%

“…FA phase composition has been determined by the X-ray diffraction analysis -XRD. It has shown that the FA belongs to class F, and its composition is dominated by oxides: Al 2 O 3 , SiO 2 , Fe 2 O 3 , and others [7,8]. Fraction, wt% matrix 7.0 0.11 < 0.01 < 0.01 0.37 0.01 0.12 0.056…”

Section: Methodsmentioning

confidence: 99%

“…About 370 million tons of FA are produced annually globally [1] and its disposal represents a serious ecological problem [1][2][3][4]. Previous studies [5][6][7][8][9][10] have shown that by using FA as a reinforcement in the matrix based on aluminum and its alloys, a composite with lower density with properties same or better than the base material can be obtained. Properties of such composite materials can be further improved by applying a plastic deformation treatment process [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Solid particle erosion resistance of Al alloy and Al alloy-fly ash composite subjected to equal-channel angular pressing

2021

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This paper describes the influence of deformation by equal-channel angular pressing (ECAP) on the solid particle erosion resistance of the AlSi7Mg0.3 alloy and AlSi7Mg0.3 based composite material reinforced with the addition of 4 % of fly ash (FA) particles. Both, alloy and composite samples were produced using the compo-casting method. The samples have been subjected to ECAP in multiple passes with the rotation of samples around the vertical axis for the angle of 90° after each pass. Particles of silicon carbide (SiC) have been used as erodent while their impact angle was varied (30° and 90°). Observed samples of AlSi7Mg0.3 alloy generally showed higher wear resistance at 90° angle where material fatigue predominates, than at a 30° angle where abrasion-related phenomena predominate. On the other hand, AlSi7Mg0.3 based composite material exhibited erosion wear at 30° angle less than at 90° angle after one ECAP pass. Evaluation of the erosion resistance has been made based on mass and volume loss. After two passes of ECAP, the matrix structure of the AlSi7Mg0.3 based composite material, as well as that of the AlSi7Mg0.3 alloy was improved from the aspect of erosion resistance.

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“…Therefore, these Si crystals are probably generated during alloy solidification. The observed morphology of the base alloy matches with literature data [8,25]. b).…”

Section: Resultssupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Solid particle erosion resistance of Al alloy and Al alloy-fly ash composite subjected to equal-channel angular pressing

2021

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“…Other authors stated the poor behavior of AlSi as-cast alloys during cavitation erosion tests [ 32 , 33 ]. Some authors compared the cavitation erosion resistance of A356 alloy and A356FA5 composite containing 5 wt % fly ash, whose fine particles seem to suppress pit growth [ 34 ]. Additionally, similar investigations were also performed on composites reinforced with particles or fibers of silicon carbide and alumina [ 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Ultrasound Treatment on Cavitation Erosion Resistance of AlSi7 Alloy

Pola¹,

Montesano²,

Tocci³

et al. 2017

Materials

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Ultrasound treatment of liquid aluminum alloys is known to improve mechanical properties of castings. Aluminum foundry alloys are frequently used for production of parts that undergo severe cavitation erosion phenomena during service. In this paper, the effect of the ultrasound treatment on cavitation erosion resistance of AlSi7 alloy was assessed and compared to that of conventionally cast samples. Cavitation erosion tests were performed according to ASTM G32 standard on as-cast and heat treated castings. The response of the alloy in each condition was investigated by measuring the mass loss as a function of cavitation time and by analyzing the damaged surfaces by means of optical and scanning electron microscope. It was pointed out that the ultrasound treatment increases the cavitation erosion resistance of the alloy, as a consequence of the higher chemical and microstructural homogeneity, the finer grains and primary particles and the refined structure of the eutectic induced by the treatment itself.

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“…Overall, there is a demand for corelating the mechanical and functional properties of engineering materials with their CER. Different methods are employed to this end, starting from simple comparative analyses [32][33][34] and regression methods [4,35,36] to artificial neural networks [37,38]. Although comparative analyses into the relationship between plasma spray parameters and CER are reported in the literature [39,40], to our knowledge, no study to date has utilized the ANN to predict the CER of APS thermally sprayed coatings.…”

Section: Introductionmentioning

confidence: 99%

Neural Modelling of APS Thermal Spray Process Parameters for Optimising the Hardness, Porosity and Cavitation Erosion Resistance of Al2O3 -13% TiO2 Coatings

Szala¹,

Łatka²,

Awtoniuk³

et al. 2020

Preprint

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The study aims to elaborate a neural model and algorithm for optimising hardness and porosity of coatings and thus ensure that they have superior cavitation erosion resistance. Al2O3-13wt.%TiO2 ceramic coatings were deposited onto 316L stainless steel by atmospheric plasma spray (ASP). The coatings were prepared with different values of two spray process parameters: the stand-off distance and torch velocity. Microstructure, porosity and microhardness of the coatings were examined. Cavitation erosion tests were conducted in compliance with the ASTM G32 standard. Artificial neural networks (ANN) were employed to elaborate the model, and the multi-objectives genetic algorithm (MOGA) was used to optimise both properties and cavitation erosion resistance of the coatings. Results were analysed with Matlab software by Neural Network Toolbox and Global Optimization Toolbox. The fusion of artificial intelligence methods (ANN+MOGA) is essential for future selection of thermal spray process parameters, especially for the design of ceramic coatings with specified functional properties. Selection of these parameters is a multicriteria decision problem. The proposed method made it possible to find a Pareto front, i.e. trade-offs between several conflicting objectives – maximising the hardness and cavitation erosion resistance of Al2O3-13%TiO2 coatings and, at the same time, minimizing their porosity.

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Comparative Study on Cavitation Erosion Resistance of A356 Alloy and A356FA5 Composite

Cited by 9 publications

References 14 publications

Solid particle erosion resistance of Al alloy and Al alloy-fly ash composite subjected to equal-channel angular pressing

Solid particle erosion resistance of Al alloy and Al alloy-fly ash composite subjected to equal-channel angular pressing

Influence of Ultrasound Treatment on Cavitation Erosion Resistance of AlSi7 Alloy

Neural Modelling of APS Thermal Spray Process Parameters for Optimising the Hardness, Porosity and Cavitation Erosion Resistance of Al<sub>2</sub>O<sub>3</sub> -13% TiO<sub>2</sub> Coatings

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