Polymer processes in the light of artificial intelligence
Subject Areas :
Zeinab Sadat
Hosseini
1
(Polymer Reaction Engineering Department, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran)
Keywords: Artificial intelligence (AI), polymer, mixing, extruder, rubber, composite,
Abstract :
Artificial Intelligence (AI) is transforming the daily life of humans on the planet by entering different fields. This tool has opened a new window on the activists in the field of polymer science and engineering, like other sciences, and it can be widely used in the manufacture of polymers and their derivatives, mixing processes, forming polymers, composites, and designing and manufacturing the related equipment. Artificial intelligence algorithms can enable the analysis of a large and unlimited amount of data obtained from sensors and process monitoring systems. These patterns and methods have provided the ability to process cases that are difficult or impossible to detect manually and are used in modeling and simulation, process control, error detection and recommender systems, and can be used to achieve optimal mixing by considering the properties of the mixture components and technical specifications, can be provided recommendations for the desired product. Artificial intelligence can control the process factors to ensure consistency and uniform dispersion of additives, fillers, and colors, resulting in higher quality mixing and products with optimized properties. It can also help reduce the cycle time without compromising product quality, which can lead to significant cost savings and the greater productivity, and can enable preventative maintenance. In this study, the application of artificial intelligence in some polymer processes was investigated, specifically in the rubber compounding, the composite preparation and the extrusion, which promises a new direction in the polymer processes.
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