Autors: Tsenev, V. P., Draganov T.
Title: Improving Technology for Creating Metal-Glass Systems Using Statistics and Machine Learning
Keywords: induction heating, machine learning, melting, oven, statistics

Abstract: The paper analyzes the results of the research conducted to obtain a metal-glass system by melting glass with a furnace and induction heating. Experiments and results are described to achieve the maximum tensile strength, maximum wear resistance and minimum fluidity of the metal-glass system under different glass melting methods. By using the SPC (Statistical Process Control) statistical method, a reliable analysis was made and objective conclusions were generated. An optimal regime for glass melting by induction heating of the metal-glass system was determined using machine learning.

References

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Issue

2024 9th International Conference on Smart and Sustainable Technologies, SpliTech 2024, 2024, , https://doi.org/10.23919/SpliTech61897.2024.10612637

Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus