فرایندهای پلیمری در پرتو هوش مصنوعی
محورهای موضوعی : پليمرها و نانوفناوری
1 - گروه فرآیندهای پلیمریزاسیون، دانشکده مهندسی شیمی، دانشگاه تربیت مدرس، صندوق پستی ۱۴3-14115
کلید واژه: هوش مصنوعی (AI), پلیمر, اختلاط, اکسترودر, لاستیک, کامپوزیت,
چکیده مقاله :
هوش مصنوعی (Artificial Intelligence) (AI) با ورود به زمینه‌های مختلف، در حال متحول کردن زندگی روزمره بشر در کره خاکی است. این ابزار پنجره جدیدی را بر روی فعالان در زمینه علوم و مهندسی پلیمر مانند ساير علوم گشوده است و قادر است به‌طور گسترده در ساخت پلیمرها و مشتقات آن‌ها، فرایندهای اختلاط، شکل‌دهی پلیمرها، کامپوزیت‌ها و طراحی و ساخت تجهیزات مربوط استفاده شود. الگوریتم‌های هوش مصنوعی می‌توانند تجزیه و تحلیل حجم وسیع و نامحدودی از داده‌های اخذ شده از حسگرها و سامانه‌های نظارت بر فرایند را میسر سازند. این الگوها و روندها، توانایی پردازش مواردی که تشخیص دستی آن‌ها دشوار یا ناممکن است، فراهم کرده‌اند و در مدل‌سازی و شبیه‌سازی، کنترل فرایند، تشخیص خطا و سامانه‌های توصیه‌کننده، کاربرد دارند و می‌تواند برای حصول اختلاط بهینه با عنایت به خواص اجزای مخلوط و مشخصات فنی محصول مورد نظر، توصیه‌هایی ارائه دهد. هوش مصنوعی می‌تواند عوامل فرایندی را برای اطمینان از سازگاری و پراکندگی یکنواخت افزودنی‌ها، پرکننده‌ها و رنگ‌ها که منجر به مخلوطی با کیفیت بالاتر و محصولات با خواص بهینه می‌شود، کنترل کند. همچنین می‌تواند به کاهش زمان چرخه، بدون به خطر انداختن کیفیت محصول کمک کند که می‌تواند منجر به صرفه‌جویی قابل‌توجهی در هزینه و بهره‌وری بیشتر شود و می‌تواند امکان تعمیر و نگه‌داری پیشگیرانه را فراهم کند. در این مطالعه به کاربرد هوش مصنوعی در برخی از فرایندهای پلیمری به‌طور خاص در آمیزه‌سازی لاستیک، تهیه کامپوزیت و اکستروژن اشاره می‌شود که نوید‌بخش مسیر جدیدی در فرایندهای پلیمری است.
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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