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Modeling and Simulation of a Goods Sorting Plant Based on Programmable Logic Controllers "PLCs"

المصدر: المجلة الأفروآسيوية للبحث العلمي
الناشر: الأكاديمية الأفريقية للدراسات المتقدمة
المؤلف الرئيسي: Ahmed, Abdussalam Ali (Author)
مؤلفين آخرين: Alsharif, Abdulgader (Co-Author) , Khaleel, Mohamed Mohamed (Co-Author) , Alarga, Ahmed Salem Daw (Co-Author) , Imbayah, Ibrahim (Co-Author)
المجلد/العدد: مج1, ع2
محكمة: نعم
الدولة: ليبيا
التاريخ الميلادي: 2023
الشهر: يونيو
الصفحات: 1 - 7
ISSN: 2959-6505
رقم MD: 1378307
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
PLC | LCA | Microcontroller | Goods | Siemens | Conveyor
رابط المحتوى:
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المستخلص: The rate of production has drastically expanded in today's technologically advanced world due to fast-moving industries. Typically, manufacturing companies continue to produce the same models with few variations in length, color, weight, and shape. In addition, the sorting is crucial in this situation. In such circumstances, the industries cannot afford for their products to be sorted by human error. Low-cost automation (LCA) has to be created as a result in order to sort these products accurately. Industrial automation is largely concerned with creating automation that is affordable, requires little upkeep, has a long lifespan, and is as user-friendly as feasible, At last, we have established an LCA system for trying to sort lightweight objects predicated on size difference utilizing DC geared engines that are controlled by a microcontroller (PLC), and the provider goes in the system located in front of the detectors and thus the sorting logic is characterized, and the latest studies depend heavily on the layout of And the advancement of a system that works instantly without human involvement in order to transport out this sensitive task that requires precision. Accordingly, as the study concludes, we require an automated system that utilizes automation, the PLC system, and programmed logical controllers next.

ISSN: 2959-6505

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