Award ID: 21288 Company: KU Leuven
Allgemeine Informationen
- Datum: 2024-06-10 09:07:15
- Firma: KU Leuven
- Ansprechpartner: Mr. Warre Hannes
- E-Mail: warre.hannes@student.kuleuven.be
- Anschrift: Donk 26, 2400 Mol
- Telefon: 484701592
- Land: België
- Awareness:
- Other
Application description of the installation
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.