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Content available Automatic detection of axes for turning parts
EN
This paper delves into a critical aspect of Computer-Aided Production Planning (CAPP): the automated detection of the main rotational axis in turning parts within Computer-Aided Designs (CAD). The identification of the principal turning axis in CAD models presents numerous opportunities in the field of CAPP. In this study, the authors employ advanced surface segmentation techniques to analyse the surface geometry, pinpointing rotational surfaces within the CAD model. Subsequently, significant features are extracted from these identified rotational surfaces, and the necessary data for rotational centers are gathered. By fine-tuning the weighting of the data gathered, the approach can be tailored to suit various planning strategies. This approach has the potential to significantly enhance both the efficiency and accuracy of the automated production planning process for turning parts in CAPP.
EN
The efficient use of resources are becoming more important due to economic and environmental requirements. In widely used forming processes like deep drawing an avoidance of lubricants – namely dry deep drawing – is a key factor for saving resources. In this paper, a combined approach consisting of a macro-structured tool design and a special modified protective coating is presented. The combination ensures a stable process with a sufficiently wide process window under dry conditions. The absence of lubricants in critical areas has to be compensated by tetrahedral amorphous carbon ta-C films which is additionally structured by Direct Laser Interference Patterning (DLIP) for further improvement of the tribological performance.
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