Design and implementation of a digital infrastructure for autonomous open-die forging

Open-die forging is a key process for manufacturing large components such as generator shafts and crankshafts for ship engines. Despite its industrial relevance, the process remains dependent on manual labour and operator expertise, leading to challenges in process stability, reproducibility, and efficiency. Traditional automation approaches are impractical due to the high variability and low production volumes typical of open-die forging. At the Institute of Metal Forming (IMF) at the TU Bergakademie Freiberg, a novel concept for autonomous open-die forging has been developed and tested. The system combines conventional forging equipment with advanced technologies, including industrial robotics, 3D laser scanning, thermal imaging, and modular control software. Central to the concept is a robot cell operating as a distributed system, where sensor data is used to create a digital twin of the workpiece. This enables adaptive process planning and real-time autonomous operative adjustments. A process planning tool generates pass sequences and commands for manipulator movements, while an electromechanical interface allows indirect control of the forging press. The modular software architecture, coordinated by a central core-module, ensures flexibility and facilitates integration into different production environments. Initial trials demonstrate the system’s potential to improve process stability and quality while reducing dependency on manual operation. Ongoing work focuses on refining the concept to meet industrial requirements and support advanced material applications.

Authors

Publication Details

Journal
Computer Methods in Materials Science.
Published
2025-01-01
DOI
https://doi.org/10.7494/cmms.2025.2.1018
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.24
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Design and implementation of a digital infrastructure for autonomous open-die forging

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Design and implementation of a digital infrastructure for autonomous open-die forging

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article en
1 citations

Abstract

Open-die forging is a key process for manufacturing large components such as generator shafts and crankshafts for ship engines. Despite its industrial relevance, the process remains dependent on manual labour and operator expertise, leading to challenges in process stability, reproducibility, and efficiency. Traditional automation approaches are impractical due to the high variability and low production volumes typical of open-die forging. At the Institute of Metal Forming (IMF) at the TU Bergakademie Freiberg, a novel concept for autonomous open-die forging has been developed and tested. The system combines conventional forging equipment with advanced technologies, including industrial robotics, 3D laser scanning, thermal imaging, and modular control software. Central to the concept is a robot cell operating as a distributed system, where sensor data is used to create a digital twin of the workpiece. This enables adaptive process planning and real-time autonomous operative adjustments. A process planning tool generates pass sequences and commands for manipulator movements, while an electromechanical interface allows indirect control of the forging press. The modular software architecture, coordinated by a central core-module, ensures flexibility and facilitates integration into different production environments. Initial trials demonstrate the system’s potential to improve process stability and quality while reducing dependency on manual operation. Ongoing work focuses on refining the concept to meet industrial requirements and support advanced material applications.

Computer Methods in Materials Science.
Openalex Percentile: Top 18%
Manufacturing Process and Optimization
1.24
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