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90 Publications
2022 | Conference Paper | LibreCat-ID: 30265
Bader, Fabian, et al. An Approach for an Innovative 3d Steel Strip Straightening Machine for Curvature and Saber Compensation. 2022, doi:https://doi.org/10.4028/p-87wvu0.
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| DOI
2022 | Journal Article | LibreCat-ID: 34000
Rozo Vasquez, Julian, et al. “Coupled Microscopic and Micromagnetic Depth-Specific Analysis of Plastic Deformation and Phase Transformation of Metastable Austenitic Steel AISI 304L by Flow Forming.” Practical Metallography, vol. 59, no. 11, Walter de Gruyter GmbH, 2022, pp. 660–75, doi:10.1515/pm-2022-0064.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33999
Kersting, Lukas, et al. “Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes.” Key Engineering Materials, vol. 926, Trans Tech Publications, Ltd., 2022, pp. 862–74, doi:10.4028/p-yp2hj3.
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| DOI
2022 | Conference Paper | LibreCat-ID: 36563
Rozo Vasquez, Julian, et al. “Soft Sensor Concept for Micromagnetic Depth-Specific Analysis of Phase Transformation during Flow Forming of AISI 304L Steel.” Proceedings of the 14th International Conference on Barkhausen Noise and Micromagnetic Testing, 2022.
LibreCat
2022 | Book | LibreCat-ID: 36412
Kersting, Lukas, et al. Echtzeitfähige Modellierung Eines Innovativen Drückwalzprozesses Für Die Eigenschaftsgeregelte Herstellung Gradierter Bauteile. Diedrich, 2022.
LibreCat
2022 | Dissertation | LibreCat-ID: 30255
Wiens, Eugen. Innendrückwalzen – Ein Innovatives Umformverfahren Zur Inkrementellen Formgebung von Wanddickenkonturierten Rohren Mit Lokal Einstellbaren Mechanischen Eigenschaften. Shaker, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34001 | 
Arian, Bahman, et al. “Produktkennzeichnung Durch Lokal Definierte Einstellung von Ferromagnetischen Eigenschaften Beim Drückwalzen von Metastabilen Stahlwerkstoffen.” 36. Aachener Stahlkolloquium – Umformtechnik “Ideen Form Geben“, 2022, pp. 333–47.
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2022 | Conference Paper | LibreCat-ID: 34003 |
Arian, Bahman, et al. “A Flow Forming Process Model to Predict Workpiece Properties in AISI 304L.” 19th Int. Conference on Metal Forming 2022, 2022.
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2021 | Book Chapter | LibreCat-ID: 25448
Heggemann, Thomas, et al. “Experimental and Numerical Investigations into the Influence of the Process Parameters During the Deep Drawing of Fiber Metal Laminates.” Forming the Future, 2021, doi:10.1007/978-3-030-75381-8_219.
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| DOI
2021 | Journal Article | LibreCat-ID: 26191
Voswinkel, Dietrich, et al. “Improving the Accuracy of Deep Drawn Fiber-Metal Laminate Parts by Preliminary Surface Treatment.” IOP Conference Series: Materials Science and Engineering, 012028, 2021, doi:10.1088/1757-899x/1190/1/012028.
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