Relationship between the Permeability of the Porous Disk Filter and the Filtrate Weight‐Time Curves Generated with the PoDFA/Prefil
            <sup>®</sup>
            Footprinter Method

Instone, Stephen; Krings, Daniel; Gruen, Gerd Ulrich; Schmoll, Roland; Badowski, Mark

doi:10.1002/9781118359259.ch187

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“…The metallographic method, while simple, requires lengthy sampling, making it suitable for small-scale detection. PoDFA offers both qualitative and quantitative detection but suffers from low efficiency and high costs [10][11][12]. The K-mold method detects 60-80 µm inclusions but yields biased results for cleaner molten metals [9].…”

Section: Introductionmentioning

confidence: 99%

An Online Monitoring System for In Situ and Real-Time Analyzing of Inclusions within the Molten Metal

Wu,

Yan,

Wang

et al. 2024

Sensors

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Traditional methods for assessing the cleanliness of liquid metal are characterized by prolonged detection times, delays, and susceptibility to variations in sampling conditions. To address these limitations, an online cleanliness-analyzing system grounded in the method of the electrical sensing zone has been developed. This system facilitates real-time, in situ, and quantitative analysis of inclusion size and amount in liquid metal. Comprising pneumatic, embedded, and host computer modules, the system supports the continuous, online evaluation of metal cleanliness across various metallurgical processes in high-temperature environments. Tests conducted with gallium liquid at 90 °C and aluminum melt at 800 °C have validated the system’s ability to precisely and quantitatively detect inclusions in molten metal in real time. The detection procedure is stable and reliable, offering immediate data feedback that effectively captures fluctuations in inclusion amount, thereby meeting the metallurgical industry’s demand for real-time analyzing and control of inclusion cleanliness in liquid metal. Additionally, the system was used to analyze inclusion size distribution during the hot-dip galvanizing process. At a zinc melt temperature of 500 °C, it achieved a detection limit of 21 μm, simultaneously providing real-time data on the size and amount distribution of inclusions. This represents a novel strategy for the online monitoring and quality control of zinc slag throughout the hot-dip galvanizing process.

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Section: Introductionmentioning

confidence: 99%

An Online Monitoring System for In Situ and Real-Time Analyzing of Inclusions within the Molten Metal

Wu,

Yan,

Wang

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Relationship between the Permeability of the Porous Disk Filter and the Filtrate Weight‐Time Curves Generated with the PoDFA/Prefil ^® Footprinter Method

Cited by 1 publication

References 0 publications

An Online Monitoring System for In Situ and Real-Time Analyzing of Inclusions within the Molten Metal

An Online Monitoring System for In Situ and Real-Time Analyzing of Inclusions within the Molten Metal

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Relationship between the Permeability of the Porous Disk Filter and the Filtrate Weight‐Time Curves Generated with the PoDFA/Prefil ® Footprinter Method

Cited by 1 publication

References 0 publications

An Online Monitoring System for In Situ and Real-Time Analyzing of Inclusions within the Molten Metal

An Online Monitoring System for In Situ and Real-Time Analyzing of Inclusions within the Molten Metal

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Product

Resources

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Relationship between the Permeability of the Porous Disk Filter and the Filtrate Weight‐Time Curves Generated with the PoDFA/Prefil ^® Footprinter Method