Project Details
Description
The TANDEM project aims at establishing a data-driven and artificial intelligence-based monitoring and controlling platform and tools that support robotic discrete manufacturing processes, cells, or production systems. The development of the tools take place in three industrial applications, which include robot welding, robot Additive Manufacturing DED and robot-automated die-casting. These cases also cover different scales of manufacturing from individual process equipment to manufacturing cells, to production systems. The control systems and tools aim to enable an agile, flexible, and quickly reconfigurable manufacturing unit with short ramp-up times and better productivitity and quality. Furthermore, extensive manufacturing data collection, warehousing, and analysis enable full traceability and enhance digital quality assessment of the product. The control tools and data warehouse(s) operate on common software basis. The TANDEM work resonates with four of the six SMART technical domains and presents the benefits and added value of global technology and business collaboration and value chains in realizing such a complex and comprehensive manufacturing control framework and its components. Througout the project, serious attention will be paid to initiating technological cooperation as a large-scale international business value chain.
| Acronym | TANDEM |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/21 → 30/09/24 |
Collaborative partners
- VTT Technical Research Centre of Finland (lead)
- Tampere University
- Delfoi Oy
- Sandvik Mining and Construction Oy
- Kesla Oyj
- JTA Connection Oy
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
Keywords
- Eureka
- E! Smart
- Sustainable Manufacturing Finland
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S0410 Tools for adaptive and intelligent control of discrete manufacturing processes TANDEM - Final Project Report
Siren, M. (Editor), Nilsen, M. (Editor), Yoo, Y. (Editor) & Wang, G. (Editor), 29 Jul 2025, TANDEM project. 78 p.Research output: Book/Report › Report
Open AccessFile402 Downloads (Pure) -
Process monitoring by deep neural networks in directed energy deposition: CNN-based detection, segmentation, and statistical analysis of melt pools
Asadi, R., Queguineur, A., Wiikinkoski, O., Mokhtarian, H., Aihkisalo, T., Revuelta, A. & Ituarte, I. F., Jun 2024, In: Robotics and Computer-Integrated Manufacturing. 87, 14 p., 102710.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access63 Link opens in a new tab Citations (Scopus) -
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data
Kim, Y., Lee, T., Hyun, Y., Coatanéa, É., Sirén, M., Mo, J. & Yoo, Y., Dec 2023, In: Computers in Industry. 153, 15 p., 104024.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access33 Link opens in a new tab Citations (Scopus)