Multi‐source data‐driven approach for prediction of melt density during polymer compounding
Bin‐Bin Zhang,
Zhu‐Yun Chen,
Fei Zhang
et al.
Abstract:Melt density is a crucial quality indicator for polymer composites, yet real‐time measurement remains challenging due to processing complexities. While existing machine learning methods offer solutions, they often fall short in complex compounding scenarios. This study presents a novel multi‐source data‐driven approach for measuring melt density in polycarbonate/acrylonitrile butadiene styrene blends. By incorporating ultrasonic, near‐infrared, and Raman spectra data acquired during melt processing, a deep sep… Show more
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