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         "volume": "111","pages": "816--821","abstract": "The current trend in the context of Industry 4.0 towards small batch sizes and increasing product variety results in ever-changing requirements for both, the products and the production. This requires highly versatile, fully and easily adaptable, and efficient manufacturing environments that can meet these demands, ideally already on the level of the machine tool. Because of its versatility, the laser is a promising tool for such a machine tool, but there is still a considerable need for research in the field of system technology.\r\n\r\nWe consider the requirements for a versatile, laser-based machine tool for highly adaptable manufacturing, that utilizes the combination of laser-based manufacturing processes on one machine. The focus of the considerations lies on remote processes and the processing of metals. Five key research topics for the development of such a universal laser manufacturing node are identified: highly dynamic and precise kinematics (1); \u2018on-the-fly\u2019 reconfigurable, distributed control architectures (2); adaptable process diagnostics for online quality monitoring (3); technological interactions in laser-based process chains (4); and models for a fast estimation of the process parameters for each production step (5). The relevance and current needs for research for each topic are discussed and corresponding solution concepts are proposed.",
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         "abstract": "In this study, productivity optimization was investigated for laser based ablation processes with online depth control using a fast scan path generation algorithm. In ablation processes, a depth control system utilizing optical coherence tomography can be implemented to improve geometrical accuracy and reduce surface roughness. The actuating variable for the control loop is pulse energy, which in the simplest case involves switching laser pulses on and off along the initial scan path as required. However, every suppressed pulse contributes to a decrease in productivity, which is a critical criterion for industrial applications. For this reason, an approach was taken to deploy the scan path as an additional actuating variable. The developed algorithm is designed for improving the scan path during the process by omitting already finished areas. Theoretical verification with sample geometries shows a significant improvement in productivity compared to bare pulse toggling.",
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         "abstract": "In this study, productivity optimization was investigated for laser based ablation processes with online depth control using a fast scan path generation algorithm. In ablation processes, a depth control system utilizing optical coherence tomography can be implemented to improve geometrical accuracy and reduce surface roughness. The actuating variable for the control loop is pulse energy, which in the simplest case involves switching laser pulses on and off along the initial scan path as required. However, every suppressed pulse contributes to a decrease in productivity, which is a critical criterion for industrial applications. For this reason, an approach was taken to deploy the scan path as an additional actuating variable. The developed algorithm is designed for improving the scan path during the process by omitting already finished areas. Theoretical verification with sample geometries shows a significant improvement in productivity compared to bare pulse toggling.",
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