Machine learning based screw drive state detection for unfastening screw connections

Assadi, Anwar Al; Holtz, David; Nägele, Frank; Nitsche, Christof; Kraus, Werner; Huber, Marco F.

doi:10.1016/j.jmsy.2022.07.013

Cited by 13 publications

(3 citation statements)

References 30 publications

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“…It is frequently the need of designing custom tools for specific operations [1,9,30] and multiple tools are anyway necessary to address all the disassembly operations of the battery pack. Early works focused on manipulation and testing [44], even if a broader range of operations are necessary, as cutting (e.g., wires and hoses) [30], unscrewing [1,49] and joint separation. Machine learning can support the disassembly operations by processing the data collected from the robot tools providing information on the ongoing process.…”

Section: Related Workmentioning

confidence: 99%

“…The design of robot tools is a crucial aspect of the disassembly task in general [21,36]. It is frequently the need of designing custom tools for specific operations [1,9,30] and multiple tools are anyway necessary to address all the disassembly operations of the battery pack. Early works focused on manipulation and testing [44], even if a broader range of operations are necessary, as cutting (e.g., wires and hoses) [30], unscrewing [1,49] and joint separation.…”

Section: Related Workmentioning

confidence: 99%

“…Machine learning can support the disassembly operations by processing the data collected from the robot tools providing information on the ongoing process. An interesting example is the analysis of the torques required by an electric screwdriver for unscrewing that can bring to detect non-detachable stripped screw [1]. Recently, from the perspective of collaborative applications, the design of a soft pneumatic gripper was also evaluated for small object manipulation, safe human interaction and good adaptability with multiple shapes [9].…”

Section: Related Workmentioning

confidence: 99%

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Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing

Villagrossi¹,

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The automotive industry is involved in a massive transformation from standard endothermic engines to electric propulsion. The core element of the Electic Vehicle (EV) is the battery pack. Battery pack production misses regulations concerning manufacturing standards and safety-related issues. In such a fragmented scenario, the increasing number of EVs in circulation is growing exponentially, opening new challenges for managing the end-of-life of their battery packs. This paper analyses the use of robotics for EVs' battery pack disassembly to enable the extraction of the battery modules preserving their integrity for further reuse or recycling. The analysis highlights that a complete automatic disassembly remains difficult, while human-robot cooperative disassembly guarantees high flexibility and productivity. The paper introduces guidelines for designing a robotic cell to disassemble a battery pack in collaboration with an operator. The design of the workcell evaluates the technological requirements for disassembly, the analysis of potentially explosive atmospheres (ATEX) of the area around the battery pack, and the design and optimisation of robotics tools in the ATEX zone. The work proposes solutions according to the current international standards.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing

Villagrossi¹,

Dinon²

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View full text Add to dashboard Cite

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Enhancing Crimp Curve Monitoring in Wiring Harness Production: A Machine Learning Approach with Emphasis on Diverse Data

Hofmann,

Scheck,

Nguyen

et al. 2024

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Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing

Villagrossi,

Dinon

2023

Jnl Remanufactur

View full text Add to dashboard Cite

The automotive industry is involved in a massive transformation from standard endothermic engines to electric propulsion. The core element of the Electic Vehicle (EV) is the battery pack. Battery pack production misses regulations concerning manufacturing standards and safety-related issues. In such a fragmented scenario, the increasing number of EVs in circulation is growing exponentially, opening new challenges for managing the End-of-Life (EoL) of their battery packs. This paper analyses the use of robotics for EVs’ battery pack disassembly to enable the extraction of the battery modules preserving their integrity for further reuse or recycling. The analysis highlights that a complete automatic disassembly remains difficult, while human-robot collaborative disassembly guarantees high flexibility and productivity. The paper introduces guidelines for designing a robotic cell to disassemble a battery pack with the support of an operator. The design of the workcell evaluates the technological requirements for disassembly, the analysis of potentially explosive atmospheres (ATEX) of the area around the battery pack, and the design and optimisation of robotics tools in the ATEX zone. The work proposes solutions according to the current international standards.

show abstract

Machine learning based screw drive state detection for unfastening screw connections

Cited by 13 publications

References 30 publications

Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing

Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing

Enhancing Crimp Curve Monitoring in Wiring Harness Production: A Machine Learning Approach with Emphasis on Diverse Data

Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing

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