Schmid D, Merklein M (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Association of American Publishers
Book Volume: 25
Pages Range: 323-328
Conference Proceedings Title: Materials Research Proceedings
Event location: Erlangen, DEU
ISBN: 9781644902400
DOI: 10.21741/9781644902417-40
The industry demands an increasing individualization, which leads to a rising variety of sheet metal parts. The consequence for sheet metal manufacturers are larger amounts of product data, smaller batch sizes and a larger quantity of different parts per year. The challenge for an efficient company is the availability and use of the corporate product data. Classification is a suitable tool for organizing corporate product data sets. In order to better reflect the individualization of customer demands and the resulting flexible manufacturing processes in a classification system, a method is needed to adapt the classification system based on the frequently used feature list. In the context of this paper, features are defined and parts are classified that are manufactured with the technology of air bending. It is a contribution to the creation of more precise approaches to the sheet metal part classification with simultaneous validation by a measurable characteristic. Focus is placed on the validation of the system with empirical measurement data. This allows every company to optimize and validate their own classification system.
APA:
Schmid, D., & Merklein, M. (2023). Definition and validation of a customized classification system for sheet metal bending parts. In Marion Merklein, Hinnerk Hagenah, Joost R. Duflou, Livan Fratini, Fabrizio Micari, Paulo Martins, Gerson Meschut (Eds.), Materials Research Proceedings (pp. 323-328). Erlangen, DEU: Association of American Publishers.
MLA:
Schmid, Daniel, and Marion Merklein. "Definition and validation of a customized classification system for sheet metal bending parts." Proceedings of the 20th International Conference on Sheet Metal, SHEMET 2023, Erlangen, DEU Ed. Marion Merklein, Hinnerk Hagenah, Joost R. Duflou, Livan Fratini, Fabrizio Micari, Paulo Martins, Gerson Meschut, Association of American Publishers, 2023. 323-328.
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