TY - GEN A1 - Ünsal, Ismail A1 - Hirtler, Markus A1 - Sviridov, Alexander A1 - Bambach, Markus A1 - Hama-Saleh, Rebar A1 - Weisheit, Andreas A1 - Schleifenbaum, Johannes Henrich A1 - Kamaliev, Mike A1 - Tekkaya, A. Erman T1 - Investigation of martensite-transformation and forming properties of additively reinforced 22MnB5 sheet metals T2 - AIP Conference Proceedings Y1 - 2019 SN - 978-0-7354-1847-9 U6 - https://doi.org/10.1063/1.5112735 VL - 2113 IS - 1 ER - TY - GEN A1 - Sizova, Irina A1 - Hirtler, Markus A1 - Günther, Martin A1 - Bambach, Markus T1 - Wire-arc additive manufacturing of pre-forms for forging of a Ti–6Al–4V turbine blade T2 - AIP Conference Proceedings Y1 - 2019 SN - 978-0-7354-1847-9 U6 - https://doi.org/10.1063/1.5112693 VL - 2113 ER - TY - GEN A1 - Bambach, Markus A1 - Sizova, Irina A1 - Emdadi, Aliakbar T1 - Development of a processing route for Ti-6Al-4V forgings based on preforms made by selective laser melting T2 - Journal of Manufacturing Processes Y1 - 2019 U6 - https://doi.org/10.1016/j.jmapro.2018.11.011 SN - 1526-6125 SN - 0278-6125 VL - 37 SP - 150 EP - 158 ER - TY - GEN A1 - Imran, Muhammad A1 - Afzal, Muhammad Junaid A1 - Bambach, Markus T1 - Analysis of competition between onset of dynamic recrystallization and damage nucleation during hot forming T2 - NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes Y1 - 2019 UR - http://www.programmaster.org/PM/PM.nsf/ApprovedAbstracts/8A21E11BABCC7A4F852583460038CCA3?OpenDocument SN - 978-0-87339-769-8 SP - 231 EP - 234 ER - TY - GEN A1 - Bambach, Markus A1 - Imran, Muhammad T1 - Extended Gurson–Tvergaard–Needleman model for damage modeling and control in hot forming T2 - Cirp Annals - Manufacturing Technology Y1 - 2019 U6 - https://doi.org/10.1016/j.cirp.2019.04.063 SN - 0007-8506 VL - 68 IS - 1 SP - 249 EP - 252 ER - TY - GEN A1 - Stendal, Johan Andreas A1 - Bambach, Markus A1 - Eisentraut, Mark A1 - Sizova, Irina A1 - Weiß, Sabine T1 - Applying Machine Learning to the Phenomenological Flow Stress Modeling of TNM-B1 T2 - Metals N2 - Data-driven or machine learning approaches are increasingly being used in material science and research. Specifically, machine learning has been implemented in the fields of materials discovery, prediction of phase diagrams and material modelling. In this work, the application of machine learning to the traditional phenomenological flow stress modelling of the titanium aluminide (TiAl) alloy TNM-B1 (Ti-43.5Al-4Nb-1Mo-0.1B) is investigated. Three model types were developed, analyzed and compared; a physics-based phenomenological model (PM) originally developed for steel by Cingara and McQueen, a purely data-driven machine learning model (MLM), and a hybrid model (HM), which uses characteristic points predicted by a learning algorithm as input for the phenomenological model. The same amount of data was used to both fit the PM and train the MLM and HM. The models were analyzed and compared based on the accuracy of their predictions, development and computing time, and their ability to predict on interpolated and extrapolated inputs. The results revealed that for the same amount of experimental data, the MLM was more accurate than the PM. In addition, the MLM was better able to capture the characteristic peak stress in the TNM-B1 the flow curves, and could be developed and computed faster. Furthermore, the MLM was able to make realistic predictions for inputs outside the experimental data used for training. The HM showed comparable accuracy to the PM for the experimental conditions. However, the HM was able to produce a better fit for input conditions outside the training data. KW - machine learning KW - phenomenological modeling KW - titanium aluminide KW - hot isothermal forging Y1 - 2019 UR - https://www.mdpi.com/2075-4701/9/2/220 U6 - https://doi.org/10.3390/met9020220 SN - 2075-4701 VL - 9 IS - 2 ER - TY - GEN A1 - Maqbool, Fawad A1 - Hajavifard, Ramin A1 - Walther, Frank A1 - Bambach, Markus T1 - Engineering the residual stress state of the metastable austenitic stainless steel (MASS) disc springs by incremental sheet forming (ISF) T2 - Production Engineering Y1 - 2019 U6 - https://doi.org/10.1007/s11740-018-0864-6 SN - 0944-6524 SN - 1863-7353 VL - Vol. 13 IS - 2 SP - 139 EP - 148 ER - TY - GEN A1 - Besong, Lemopi Isidore A1 - Buhl, Johannes A1 - Bambach, Markus T1 - Investigations on hole-flanging by paddle forming and a comparison with single point incremental forming T2 - International Journal of Mechanical Sciences Y1 - 2019 U6 - https://doi.org/10.1016/j.ijmecsci.2019.105143 SN - 0020-7403 VL - vol. 164 ER - TY - GEN A1 - Eisentraut, Mark A1 - Bolz, Sebastian A1 - Sizova, Irina A1 - Bambach, Markus A1 - Weiß, Sabine T1 - Development of a heat treatment strategy for the γ-TiAl based alloy TNM-B1 to increase the hot workability T2 - SN Applied Sciences Y1 - 2019 U6 - https://doi.org/10.1007/s42452-019-1563-4 SN - 2523-3963 SN - 2523-3971 VL - 1 IS - 11 ER - TY - GEN A1 - Stendal, Johan Andreas A1 - Eisentraut, Mark A1 - Sizova, Irina A1 - Bolz, Sebastian A1 - Bambach, Markus A1 - Weiß, Sabine T1 - Effect of heat treatment on the workability of hot isostatically pressed TNM-B1 T2 - AIP Conference Proceedings Y1 - 2019 SN - 978-0-7354-1847-9 U6 - https://doi.org/10.1063/1.5112544 VL - 2113 IS - 1 ER - TY - GEN A1 - Imran, Muhammad A1 - Szyndler, Joanna A1 - Afzal, Muhammad Junaid A1 - Bambach, Markus T1 - Towards the damage evolution for hot forming processes using Gurson-Tvergaard Needleman model – Coupled to dynamic recrystallization T2 - AIP Conference Proceedings Y1 - 2019 SN - 978-0-7354-1847-9 U6 - https://doi.org/10.1063/1.5112741 VL - 2113 IS - 1 ER - TY - GEN A1 - Maqbool, Fawad A1 - Bambach, Markus T1 - Experimental and Numerical Investigation of the Influence of Process Parameters in Incremental Sheet Metal Forming on Residual Stresses T2 - Journal of Manufacturing and Materials Processing Y1 - 2019 U6 - https://doi.org/10.3390/jmmp3020031 SN - 2504-4494 VL - 3 IS - 2 ER - TY - GEN A1 - Emdadi, Aliakbar A1 - Sizova, Irina A1 - Bambach, Markus A1 - Hecht, Ulrike T1 - Hot deformation behavior of a spark plasma sintered Fe-25Al-1.5Ta alloy with strengthening Laves phase T2 - Intermetallics Y1 - 2019 U6 - https://doi.org/10.1016/J.intermet.2019.03.017 SN - 0966-9795 VL - Vol. 109 SP - 123 EP - 134 ER - TY - GEN A1 - Buhl, Johannes A1 - Israr, Rameez A1 - Bambach, Markus T1 - Modeling and convergence analysis of directed energy deposition simulations with hybrid implicit / explicit and implicit solutions T2 - Journal of Machine Engineering Y1 - 2019 U6 - https://doi.org/10.5604/01.3001.0013.4086 SN - 2391-8071 SN - 1895-7595 VL - Vol. 19 IS - 3 SP - 94 EP - 107 ER -