Machine Learning-Based Investigation of the 3D Printer Cooling Effect on Print Quality in Fused Filament Fabrication: A Cybersecurity Perspective
نویسندگان
چکیده
Additive manufacturing (AM), also known as three-dimensional (3D) printing, is the process of building a solid object in layer-wise manner. Cybersecurity prevalent issue that appears more and frequently AM becomes popular. This paper focuses on effect fan speed printing quality presents plugin called Fan Speed Attack Detection (FSAD) predicts monitors speeds throughout process. The goal to prevent cybersecurity attacks, specifically targeting speed. Using proposed FSAD, any changes during are evaluated see whether printer can sustain abnormal change still maintain good print quality.
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ژورنال
عنوان ژورنال: Inventions
سال: 2023
ISSN: ['2411-5134']
DOI: https://doi.org/10.3390/inventions8010024