@misc{BambachSizovaSilzeetal., author = {Bambach, Markus and Sizova, Irina and Silze, Frank and Schnick, Michael}, title = {Comparison of laser metal deposition of Inconel 718 from powder, hot and cold wire}, series = {Procedia CIRP}, volume = {74}, journal = {Procedia CIRP}, issn = {2212-8271}, doi = {10.1016/j.procir.2018.08.095}, pages = {206 -- 209}, abstract = {10th CIRP conference on Photonic Technologies LANE 2018, September 03 - 06, 2018, F{\"u}rth, Germany}, language = {en} } @misc{BambachSizovaEmdadi, author = {Bambach, Markus and Sizova, Irina and Emdadi, Aliakbar}, title = {Towards Damage Controlled Hot Forming}, series = {Applied Mechanics and Materials}, volume = {85}, journal = {Applied Mechanics and Materials}, issn = {1662-7482}, doi = {10.4028/www.scientific.net/AMM.885.56}, pages = {56 -- 63}, language = {en} } @misc{BambachSizovaEmdadi, author = {Bambach, Markus and Sizova, Irina and Emdadi, Aliakbar}, title = {Development of a processing route for Ti-6Al-4V forgings based on preforms made by selective laser melting}, series = {Journal of Manufacturing Processes}, volume = {37}, journal = {Journal of Manufacturing Processes}, issn = {1526-6125}, doi = {10.1016/j.jmapro.2018.11.011}, pages = {150 -- 158}, language = {en} } @misc{HirtlerSydowBambachetal., author = {Hirtler, Markus and Sydow, Benjamin and Bambach, Markus and Sizova, Irina and Ali, Y. and Sviridov, Alexander and Bergmann, Jean Pierre}, title = {Kombination von umformender und additiver Fertigungsverfahren zu einer ressourceneffizienten Prozesskette}, series = {DGM-Tagungsband: Fachtagung Werkstoffe und Additive Fertigung, 25.-26.04.2018, Potsdam}, journal = {DGM-Tagungsband: Fachtagung Werkstoffe und Additive Fertigung, 25.-26.04.2018, Potsdam}, isbn = {978-3-88355-418-1}, pages = {73 -- 83}, language = {de} } @misc{BambachSizovaGeisenetal., author = {Bambach, Markus and Sizova, Irina and Geisen, Ole and Fergani, Omar}, title = {Comparison of the Hot Working Behavior of Wrought, Selective Laser Melted and Electron Beam Melted Ti-6Al-4V}, series = {Materials Science Forum; Trans Tech Publications}, volume = {941}, journal = {Materials Science Forum; Trans Tech Publications}, issn = {1662-9752}, doi = {10.4028/www.scientific.net/MSF.941.2030}, pages = {2030 -- 2036}, language = {en} } @misc{StendalBambachEisentrautetal., author = {Stendal, Johan Andreas and Bambach, Markus and Eisentraut, Mark and Sizova, Irina and Weiß, Sabine}, title = {Applying Machine Learning to the Phenomenological Flow Stress Modeling of TNM-B1}, series = {Metals}, volume = {9}, journal = {Metals}, number = {2}, issn = {2075-4701}, doi = {10.3390/met9020220}, pages = {18}, abstract = {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.}, language = {en} } @misc{EisentrautBolzSizovaetal., author = {Eisentraut, Mark and Bolz, Sebastian and Sizova, Irina and Bambach, Markus and Weiß, Sabine}, title = {Development of a heat treatment strategy for the γ-TiAl based alloy TNM-B1 to increase the hot workability}, series = {SN Applied Sciences}, volume = {1}, journal = {SN Applied Sciences}, number = {11}, issn = {2523-3963}, doi = {10.1007/s42452-019-1563-4}, pages = {8}, language = {en} } @misc{SizovaHirtlerGuentheretal., author = {Sizova, Irina and Hirtler, Markus and G{\"u}nther, Martin and Bambach, Markus}, title = {Wire-arc additive manufacturing of pre-forms for forging of a Ti-6Al-4V turbine blade}, series = {AIP Conference Proceedings}, volume = {2113}, journal = {AIP Conference Proceedings}, isbn = {978-0-7354-1847-9}, doi = {10.1063/1.5112693}, language = {en} } @misc{StendalEisentrautSizovaetal., author = {Stendal, Johan Andreas and Eisentraut, Mark and Sizova, Irina and Bolz, Sebastian and Bambach, Markus and Weiß, Sabine}, title = {Effect of heat treatment on the workability of hot isostatically pressed TNM-B1}, series = {AIP Conference Proceedings}, volume = {2113}, journal = {AIP Conference Proceedings}, number = {1}, isbn = {978-0-7354-1847-9}, doi = {10.1063/1.5112544}, language = {en} } @misc{EmdadiSizovaBambachetal., author = {Emdadi, Aliakbar and Sizova, Irina and Bambach, Markus and Hecht, Ulrike}, title = {Hot deformation behavior of a spark plasma sintered Fe-25Al-1.5Ta alloy with strengthening Laves phase}, series = {Intermetallics}, volume = {Vol. 109}, journal = {Intermetallics}, issn = {0966-9795}, doi = {10.1016/J.intermet.2019.03.017}, pages = {123 -- 134}, language = {en} }