B.10: Disassembly Digital Twin: Difference between revisions
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• '''Short Description''': | • '''Short Description''': The Disassembly Digital Twin is an innovative process DT which executes machine learning aided disassembly algorithm for the execution of battery disassembly operations. | ||
• '''Reference, URL''': | • '''Reference, URL''': https://www.polimi.it/ | ||
• '''Applicable Business Category''': | • '''Applicable Business Category''': Manufacturing | ||
• '''Application in relevant Projects/Initiatives''': | • '''Application in relevant Projects/Initiatives''': Yes, Circular TwAIn | ||
• '''Asset Type''': | • '''Asset Type''': Executable | ||
• '''AI Breadth''': | • '''AI Breadth''': ML | ||
• '''Learning Ability''': | • '''Learning Ability''': N.A | ||
• '''Related technologies''': | • '''Related technologies''': N.A | ||
• '''Applicable Research Area''': | • '''Applicable Research Area''': Collaborative AI | ||
• '''Applicable Technical Category''': | • '''Applicable Technical Category''': AI Services | ||
• '''License Information | • '''License Information''': N.A | ||
• '''Related to circularity and sustainability''': | • '''Related to circularity and sustainability''': Yes | ||
• '''Audience''': | • '''Audience''': Battery Manufacturers | ||
Go back to the '''[[AI portfolio of reference implementations]]''' | Go back to the '''[[AI portfolio of reference implementations]]''' | ||
Latest revision as of 09:21, 28 April 2025
• Short Description: The Disassembly Digital Twin is an innovative process DT which executes machine learning aided disassembly algorithm for the execution of battery disassembly operations.
• Reference, URL: https://www.polimi.it/
• Applicable Business Category: Manufacturing
• Application in relevant Projects/Initiatives: Yes, Circular TwAIn
• Asset Type: Executable
• AI Breadth: ML
• Learning Ability: N.A
• Related technologies: N.A
• Applicable Research Area: Collaborative AI
• Applicable Technical Category: AI Services
• License Information: N.A
• Related to circularity and sustainability: Yes
• Audience: Battery Manufacturers
Go back to the AI portfolio of reference implementations
