July 2021
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36 Reads
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1 Citation
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July 2021
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36 Reads
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1 Citation
June 2021
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1,147 Reads
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1 Citation
Additive manufacturing (AM) is at a turning point towards industrialization and automation. Due to the ever shorter product development time in the automotive industry, the need for flexible production methods is increasing, and with it the need to manufacture larger quantities of prototype components. Therefore, there is a growing effort to further optimize and increase the efficiency of AM technologies and their process chain, which decisively shortens the way to series production. The current identification of AM components at the end of the overall process chain represents a non-scalable and cost-intensive manual, labor intensive process. The variety of geometries in prototyping leads to complex challenges where existing automation solutions cannot be implemented. AI- based image recognition can be an improvement in this regard. An analysis with regard to complexity, functionality and deployment will provide information about the economic efficiency of the automatic identification of prototype components.
January 2021
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5 Reads
... One critical subtask of part sorting is the recognition of parts. In [9], manual part recognition was identified as the primary time factor during the part sorting process, accounting for 40% of the total sorting time. Part recognition for sorting is particularly relevant for One critical subtask of part sorting is the recognition of parts. ...
July 2021