title: Simulation modelling and offline programming of industrial digital twins
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: ÐÐ¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð¾ÑÐ»Ð°Ð¹Ð½ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸Ð½Ð´ÑÑÑÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐ¸ÑÑÐ¾Ð²ÑÑ Ð´Ð²Ð¾Ð¹Ð½Ð¸ÐºÐ¾Ð²
Creators: name: Ð¨Ð°Ð´ÑÐ¸Ð²Ð¾Ð²Ð°, ÐÐ°ÑÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÐÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½ÑÐµ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ
digital twin
digital manufacturing
robotic cell
predictive maintenance
ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð´Ð²Ð¾Ð¹Ð½Ð¸Ðº
ÑÐ¸ÑÑÐ¾Ð²Ð¾Ðµ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²Ð¾
ÑÐ¾Ð±Ð¾ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ ÑÑÐµÐ¹ÐºÐ°
Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð°Ñ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ°

description: The work is devoted to the creation of an industrial digital twin of a production cell for competitions in the Â«Digital ManufacturingÂ» competency with the further consideration of predictive maintenance integration. Taking part in the Digital Skills competition at Kazan Digital Week as a technical expert in the Â«Digital ManufacturingÂ» competency, I created a physical model of a production cell transferring a part, as well as its virtual version in the Â«Lean ManufacturingÂ» software. The physical version consisted of a KUKA industrial robot, a conveyor belt with motion sensors, and a modeled and 3D printed part to complete the task. The digital twin was configured in the environment according to a given Â«baseÂ» and Â«toolÂ», using the appropriate signals for the SCHUNK PZN+80-1 centric gripper, equipped with three fingers, as well as conveyor movement signals. According to the task, the robot had to place a part from the table onto the conveyor in a certain sequence. Next, the sensor at the beginning of the conveyor read the delivered part â the conveyor began to move. A sensor at the end of the conveyor would then read the parts arrival and send it back, where it would be read again by a sensor at the beginning of the conveyor and the robot would send the part to another designated location. Sending parts along the conveyor belt imitated full-fledged production work, limited by the competition and the corresponding task. Furthermore, I considered the possibilities of subsequent implementation for predictive maintenance â which is a process for managing equipment at an enterprise, which includes collecting and analyzing information about the condition of equipment in order to prepare and implement measures to prevent operational failures. This was done using analytical functions embedded in the software and analytical dashboards.
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