Optimizing Assembly in Wiring Boxes Using API Technology for Digital Twin

This study explores the automation enhancement in the assembly process of wiring harnesses for automotive applications, focusing on manually inserting fuses and relays into boxes—a task known for quality and efficiency challenges. This research aimed to address these challenges by implementing a robotic arm integrated with API technology for digital twin. The methods used included the development of a digital twin model to simulate and monitor the assembly process, supported by real-time adjustments and optimizations. The results showed that the robotic system significantly improved the accuracy and speed of fuse insertion, reducing the insertion errors typically seen in manual operations. The conclusions drawn from the research confirm the feasibility of using robotic automation supported by digital twin technology to enhance assembly processes in automotive manufacturing, promising substantial improvements in production efficiency and quality control.

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Publication Details

Journal
Applied Sciences
Published
2024-10-17
DOI
https://doi.org/10.3390/app14209483
Citations
4
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.40
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article

Optimizing Assembly in Wiring Boxes Using API Technology for Digital Twin

Costel Emil Coteț, Carmen-Cristiana Cazacu, Radu Constantin Parpală, Cicerone Laurențiu Popa et al.
4 citations
Applied Sciences
Manufacturing Process and Optimization
1.40
article

Optimizing Assembly in Wiring Boxes Using API Technology for Digital Twin

Costel Emil Coteț, Carmen-Cristiana Cazacu, Radu Constantin Parpală, Cicerone Laurențiu Popa, Ioana Iorga
article en
4 citations

Abstract

This study explores the automation enhancement in the assembly process of wiring harnesses for automotive applications, focusing on manually inserting fuses and relays into boxes—a task known for quality and efficiency challenges. This research aimed to address these challenges by implementing a robotic arm integrated with API technology for digital twin. The methods used included the development of a digital twin model to simulate and monitor the assembly process, supported by real-time adjustments and optimizations. The results showed that the robotic system significantly improved the accuracy and speed of fuse insertion, reducing the insertion errors typically seen in manual operations. The conclusions drawn from the research confirm the feasibility of using robotic automation supported by digital twin technology to enhance assembly processes in automotive manufacturing, promising substantial improvements in production efficiency and quality control.

Applied SciencesVol. 14(20)
Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 16%
Manufacturing Process and Optimization
1.40
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