ENGLISH
La vitrine de diffusion des publications et contributions des chercheurs(-euses) de l'ÉTS
RECHERCHER

Operator-in-the-loop digital twin enabled augmented reality for assembly quality assurance

Karganroudi, Sasan Sattarpanah, Aminzadeh, Ahmad, Moghaddam, Milad Rahimi et Tahan, Souheil Antoine. 2026. « Operator-in-the-loop digital twin enabled augmented reality for assembly quality assurance ». In CIRP CAT 2026 Conference - Computer Aided Tolerancing (Edmonton, AB, Canada, June 15-17, 2026) Coll. « Procedia CIRP », vol. 145. 240–245. Elsevier B.V..

[thumbnail of Tahan-A-2026-34494.pdf]
Prévisualisation
PDF
Tahan-A-2026-34494.pdf - Version publiée
Licence d'utilisation : Creative Commons CC BY-NC-ND.

Télécharger (722kB) | Prévisualisation

Résumé

Ensuring dimensional and geometric quality during manual and semi-automated assembly remains challenging in low-volume, high-complexity manufacturing systems. Operator variability, incomplete process standardization, and part-level geometric deviations frequently lead to tolerance non-conformities, rework, and installation delays. While digital twins offer strong potential for process monitoring and optimization, their integration with human operators during assembly execution remains limited. This paper proposes an operator-in-the-loop digital twin (OIL-DT) framework for tolerance-driven assembly quality assurance, in which augmented reality (AR) serves as a real-time interaction layer between digital and physical domains. The framework integrates CAD-based geometric models, assembly process plans, and tolerancing intent within a cyber–physical architecture, enabling spatially registered guidance and real-time alignment verification during assembly execution. Unlike instruction-centric AR systems, the proposed framework embeds executable tolerance constraints directly into assembly execution. A Design for Six Sigma (DMADV) logic is adopted to ensure traceable links between quality requirements, tolerancing specifications, and AR-based enforcement mechanisms. The framework is experimentally validated on the assembly of a hybrid renewable energy generation unit. Compared with conventional procedures, the AR-enabled approach reduced installation time and eliminated recurring tolerance-related interruptions previously causing extended delays. The results demonstrate that embedding tolerance enforcement and execution traceability within an OIL-DT can significantly improve assembly robustness and consistency without reducing operator autonomy.

Type de document: Compte rendu de conférence
Chercheur(-euse):
Chercheur(-euse)
Tahan, Antoine
Affiliation: Génie mécanique
Date de dépôt: 02 oct. 2026 18:41
Dernière modification: 02 oct. 2026 23:23
URI: https://espace2.etsmtl.ca/id/eprint/34494

Actions (Authentification requise)

Dernière vérification avant le dépôt Dernière vérification avant le dépôt