Título

HD SCAN – ULTRASOUND TECHNOLOGY FOR QUANTITATIVE EVALUATION OF THE INTERNAL QUALITY OF AS-CAST STEEL PRODUCTS

Autoria

Lindemann, Ernst; Wans, Jochen; Klein, Martin; Gusarova, Tamara; Hofmann, Oliver

DOI

10.5151/1982-9345-27690

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Resumo

The SMS group has developed the ultrasound technology “HD scan” for inspection of the internal quality of as-cast products. This method of sample analysis requires less preparation work and is safer than the current, most common technique of etching and/or sulphur printing. Furthermore, this technology offers a three-dimensional view into the sample of the cast product and thus more representative information for a better quality evaluation. The internal quality evaluation can be performed automatically and objectively by software based on clear statistical methods. A quantitative centerline segregation rating can be assigned to each sample, based on the size and distribution of segregates detected by the unit. Internal crack statistic (length, position, orientation, etc.) and narrow side profile can also be measured. Grain macrostructure can also be visualized which allows for a potential optimization of casting parameters like strand cooling, soft reduction or electromagnetic stirring. The accuracy of the new method was proven by parallel metallographic investigations of more than 100 samples of different steel grades and sample shapes. Automatic defect evaluation and classification was compared against macroetching results. It was found that HD scan identified more defects and the visualization of the macro structure could be performed in more cases than with macro etching. All tests, comparisons, further developments and analyses for various steel producers and steel treatment companies have been conducted at the HD scan unit, located at the SMS group headquarters in Düsseldorf, Germany (Figure 1). Based on the results, SMS group has designed a unit which can be used in industrial scale.

 

Palavras-chave

Ultrasound, Macro etching, Internal quality, Automatic defect evaluation

Internal quality, Automatic defect evaluation