Evaluation of ultrasonic aluminium degassing by piezoelectric sensor

Puga, Hélder; Barbosa, J.; Gabriel, J.; Seabra, Eurico; Ribeiro, S.; Prokic, M.

doi:10.1016/j.jmatprotec.2011.01.003

Cited by 26 publications

(14 citation statements)

References 17 publications

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“…Modern ceramics have better toughness and even can be machined to some extent. At the same time the connection of a ceramic piece to metallic parts of a waveguiding system remains a challenge and is currently done by metallic inserts into ceramics or by clamping [32]. Introduction of ultrasonic oscillations in the melt.…”

Section: Typical Mistakes and Misconceptionsmentioning

confidence: 99%

Ultrasonic processing of molten and solidifying aluminium alloys: Overview and outlook

Eskin

2017

Materials Science and Technology

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Abstract. Ultrasonic melt processing attracts a lot of interest both from academic researchers and industry. Despite a long history of the subject, with first accounts dating back to the 1930s, the physics, mechanisms and practical applications are still under development. In the second half of the XXth century, pilot-and industrial scale applications of ultrasonic processing of light alloys were demonstrated for melt degassing, filtration, grain refinement, melt atomisation, and zone refining. In the last 10 years the interest to ultrasonic melt processing grew with regard to understanding the underlying mechanisms of previously established effects, developing numerical models of ultrasonic cavitation and the development of nanocomposite technology. This review paper summarises the mechanisms involved in the ultrasonic melt processing, including cavitation, flows, nucleation, activation, fragmentation and their consequences for degassing, structure refinement and particle dispersion. Some typical mistakes made by researchers in performing experiments and in interpretation of the results are discussed. New advanced methods of studying ultrasonic treatment and phenomena are considered. The paper also gives an outlook to future developments and challenges.

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Section: Typical Mistakes and Misconceptionsmentioning

confidence: 99%

Ultrasonic processing of molten and solidifying aluminium alloys: Overview and outlook

Eskin

2017

Materials Science and Technology

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“…However, in the case of ultrasonic applications, as the variation of pressure due to the waves occurs, numerous bubbles are created endogenously in the melt, which grow through rectified diffusion and remove the hydrogen while rising up to the surface [20]. An example of the purity of aluminium alloy before and after ultrasonic supported degassing can be seen in Figure 4 [21].…”

Section: Ultrasonic Supported Degassingmentioning

confidence: 99%

A Review on Prerequisites of a Set-Up for Particle Detection by Ultrasonic Waves in Aluminium Melts

Gökelma¹,

Latacz²,

Friedrich³

2016

OJMetal

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In many applications in aluminium industry, the number of inclusion-critical products increases and the quality of those products depend on the inclusion concentration and size. In order to improve the quality of aluminium products and the effectiveness of the processes, a reliable and cheaper on-line detection method is needed. Ultrasonic detection has been used in steel industry, but relatively rare in aluminium industry, although it would theoretically allow for an online non-intrusive detection of the cleanliness of the melt. In this work, the current information on ultrasonic inclusion detection was gathered and recommendations were provided on the Prerequisites for a setup for ultrasonic detection of non-metallic inclusions in aluminium as a contribution on previous works. It has been concluded that ultrasonic waves seem promising, and should be experimented more on an industrial level to have a clear view on the potentials of the method.

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“…Quality control of molten metal is becoming increasingly crucial in the foundry industry as the rigorous demand for the specification is requested from the customers. The final quality of the casting products is greatly affected by the characteristics of the molten metal [1][2][3]. In order to control the casting defects of aluminum products, such as porosity and shrinkage cavity, it is particularly important to control the temperature of the liquid aluminum and the dissolved hydrogen content in the liquid aluminum during the melting process [4][5][6][7][8].…”

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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Evaluation of ultrasonic aluminium degassing by piezoelectric sensor

Cited by 26 publications

References 17 publications

Ultrasonic processing of molten and solidifying aluminium alloys: Overview and outlook

Ultrasonic processing of molten and solidifying aluminium alloys: Overview and outlook

A Review on Prerequisites of a Set-Up for Particle Detection by Ultrasonic Waves in Aluminium Melts

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

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