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AI-based Intelligent Disassembly Utilizing a Digital Twin (AIDDT)

Reference number
Coordinator Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Industri- & materialvetensk
Funding from Vinnova SEK 315 150
Project duration December 2022 - August 2023
Status Completed
Venture AI - Competence, ability and application
Call Staff exchange for applied AI, automation and data sharing - spring 2022

Important results from the project

The purpose of this project has been AI-based intelligent disassembly of complex assembled products with a digital twin (AIDDT), to support the remanufacturing process and reach a circular product. This goal is achieved by establishing collaborative publications between Karlsruhe Institute of Technology (KIT) and Chalmers on the topic of intelligent disassembly to support the remanufacturing process and reach circular products.

Expected long term effects

The outcome of this project is a AI based disassembly digital twin concept. This concept is published as a conference contribution and is presented by a journal publication. The digital twin supports quality control in the remanufacturing process by means of analyzing the disassemblability. Furthermore, the outcome of the project is publicized by means of scientific presentations at CIRP and by means of research seminars. As a result of this project, Chalmers has established a strategic partnership with KIT within the automated disassembly process domain.

Approach and implementation

The pre-study phase is performed by means of critical literature review in the filed of disassembly and current established methods. The research visit to KIT Institute of Production Science has taken place from January to May 2023. During this time, the project is executed by the research lab facilities, and capabilities in the automated disassembly process at KIT is studied. Two research seminars has taken place during the course of the project and the outcome and proposed disassembly digital twin concept is presented and the knowledge is shared.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 14 September 2023

Reference number 2022-02827