Keyword:

Mol

Award ID: 21288 Company: KU Leuven

Application description of the system Thesis Warre Hannes and Louis Segers: "Digital twin of a delta robot for sorting packaging materials" Abstract: Sorting packaging materials is an essential aspect of recycling processes, especially in remote areas where access to traditional facilities is limited. Designing portable, robotic Material Recovery Facilities is therefore vital. This research focuses on developing a digital twin that accurately matches its physical counterpart. Eventually, different machines can be proposed from this for separating various types of waste. To achieve this goal, a keops delta robot has been employed as a physical representation for the digital version. The robots kinematics is integrated to control the robot and allow it to sort different test cubes. Next, the digital twin is validated by comparison to the physical setup.

Once the digital twin can accurately mimic the physical setup, adjustments can be made to the digital delta robot. Based on this, conclusions can be drawn and a range of machines can be proposed for sorting various types of waste. This range of machines is determined by adjustments to the arms, end-effectors and size of the robot. This research illustrates the value of a digital twin in detecting potential problems in the machine without performing physical tests. Moreover, a digital twin can also be invaluable during the design phase of a new machine, allowing early progress in programming and analysis of the setup. A notable aspect of this research is the presence of a physical representation unlike many other studies. This increases the credibility and usability of the digital twin for future applications in the sorting industry.

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