@misc{NguyenBuhlIsraretal., author = {Nguyen, Lam and Buhl, Johannes and Israr, Rameez and Bambach, Markus}, title = {Analysis and compensation of shrinkage and distortion in wire-arc additive manufacturing of thin-walled curved hollow sections}, series = {Additive Manufacturing}, volume = {Vol. 47}, journal = {Additive Manufacturing}, issn = {2214-8604}, doi = {10.1016/j.addma.2021.102365}, language = {en} } @misc{BuhlKloeppelMertenetal., author = {Buhl, Johannes and Kl{\"o}ppel, Thomas and Merten, Mathias and Haufe, Andre and Israr, Rameez and Bambach, Markus}, title = {Numerical prediction of process-dependent properties of high-performance Ti6Al4 in LS-DYNA}, series = {ESAFORM 2021 : 24th International Conference on Material Forming}, journal = {ESAFORM 2021 : 24th International Conference on Material Forming}, doi = {doi: 10.25518/esaform21.1496}, language = {en} } @misc{SzczepańskiBambachJenschetal., author = {Szczepański, Łukasz and Bambach, Markus and Jensch, Felix and Ambroziak, Andrzej and Kurzynowski, Tomasz}, title = {Structural investigations of Fe-Zr-Si-Cu metallic glass with low glass-forming ability produced in laser powder bed fusion technology}, series = {Materials \& Design}, volume = {Vol. 210}, journal = {Materials \& Design}, issn = {0264-1275}, doi = {https://doi.org/10.1016/j.matdes.2021.110112}, pages = {7}, language = {en} } @misc{DeillonJenschPalmetal., author = {Deillon, L{\´e}a and Jensch, Felix and Palm, Frank and Bambach, Markus}, title = {A new high strength Al-Mg-Sc alloy for laser powder bed fusion with calcium addition to effectively prevent magnesium evaporation}, series = {Journal of materials processing technology}, volume = {Vol. 300}, journal = {Journal of materials processing technology}, issn = {1873-4774}, doi = {10.1016/j.jmatprotec.2021.117416}, pages = {10}, language = {en} } @misc{PetrikSydowBambach, author = {Petrik, Jan and Sydow, Benjamin and Bambach, Markus}, title = {Beyond parabolic weld bead models: AI-based 3D reconstruction of weld beads under transient conditions in wire-arc additive manufacturing}, series = {Journal of Materials Processing Technology}, volume = {302 (2022)}, journal = {Journal of Materials Processing Technology}, doi = {10.1016/j.jmatprotec.2021.117457}, pages = {16}, language = {en} } @misc{MaqboolMaassBuhletal., author = {Maqbool, Fawad and Maaß, Fabian and Buhl, Johannes and Hahn, Marlon and Hajavifard, Ramin and Walther, Frank and Tekkaya, A. Erman and Bambach, Markus}, title = {Targeted residual stress generation in single and two point incremental sheet forming (ISF)}, series = {Archive of Applied Mechanics}, volume = {91}, journal = {Archive of Applied Mechanics}, number = {8}, issn = {1432-0681}, doi = {10.1007/s00419-021-01935-z}, pages = {3465 -- 3487}, language = {en} } @misc{AfzalHajavifardBuhletal., author = {Afzal, Muhammad Junaid and Hajavifard, Ramin and Buhl, Johannes and Walther, Frank and Bambach, Markus}, title = {Influence of process parameters on the residual stress state and properties in disc springs made by incremental sheet forming (ISF)}, series = {Forschung im Ingenieurwesen}, volume = {85}, journal = {Forschung im Ingenieurwesen}, number = {3}, issn = {1434-0860}, doi = {10.1007/s10010-021-00491-w}, pages = {783 -- 793}, language = {en} } @misc{BambachHertyImran, author = {Bambach, Markus and Herty, Michael and Imran, Muhammad}, title = {Feedback stabilization of forming processes}, series = {arXiv}, journal = {arXiv}, language = {en} } @book{BaehrBuhlRadowetal., author = {B{\"a}hr, Martin and Buhl, Johannes and Radow, Georg and Schmidt, Johannes and Bambach, Markus and Breuß, Michael and F{\"u}genschuh, Armin}, title = {Stable honeycomb structures and temperature based trajectory optimization for wire-arc additive manufacturing}, address = {Cottbus}, doi = {10.26127/btuopen-5079}, pages = {49}, language = {en} } @misc{BesongBuhlBambach, author = {Besong, Lemopi Isidore and Buhl, Johannes and Bambach, Markus}, title = {Increasing formability in hole-flanging through the use of punch rotation based on temperature and strain rate dependent forming limit curves}, series = {International Journal of Material Forming}, volume = {15}, journal = {International Journal of Material Forming}, number = {3}, issn = {1960-6214}, doi = {10.1007/s12289-022-01684-6}, pages = {1 -- 21}, language = {en} } @misc{BambachGersterHertyetal., author = {Bambach, Markus and Gerster, Stephan and Herty, Michael and Imran, Muhammad}, title = {Feedback control for random, linear hyperbolic balance laws}, series = {International Journal for Uncertainty Quantification}, volume = {12}, journal = {International Journal for Uncertainty Quantification}, number = {2}, issn = {2152-5099}, doi = {10.1615/Int.J.UncertaintyQuantification.2021037183}, pages = {81 -- 104}, language = {en} } @misc{IsrarBuhlHaerteletal., author = {Israr, Rameez and Buhl, Johannes and H{\"a}rtel, Sebastian and Bambach, Markus}, title = {Reinforcement of Tooling Using Residual Stresses Generated by Cladding by Arc Welding}, series = {Metals}, volume = {12}, journal = {Metals}, number = {6}, issn = {2075-4701}, doi = {10.3390/met12060984}, pages = {30}, abstract = {Cladding is typically used to protect components from wear and corrosion while also improving the aesthetic value and reliability of the substrate. The cladding process induces significant residual stresses due to the temperature difference between the substrate and the clad layer. However, these residual stresses could be effectively utilized by modifying processes and geometrical parameters. This paper introduces a novel methodology for using the weld-cladding process as a cost-effective alternative to various existing reinforcement techniques. The numerical analyses are performed to maximize the reinforcement of a cylindrical tool. The investigation of how the weld cladding develops compressive stresses on the specimen in response to a change in the weld beads and the welding sequence is presented. For the benchmark shape, experimental verification of the numerical model is performed. The influence of the distance between the weld beads and the effect of the tool diameter is numerically investigated. Furthermore, the variation in compressive stresses due to temperature fluctuations during the extrusion process has been evaluated. The results showed that adequate compressive stresses are generated on the welded parts through the cladding process after cooling. More compressive stresses are induced in the tool as the cross-section of the weld bead is increased. Furthermore, keeping a gap between the adjacent beads improves tool reinforcement. Hence, the targeted reinforcement of the substrate can be achieved by optimizing the welding sequence and process parameters.}, language = {en} } @misc{EmdadiBolzBuhletal., author = {Emdadi, Aliakbar and Bolz, Sebastian and Buhl, Johannes and Weiß, Sabine and Bambach, Markus}, title = {Laser Powder Bed Fusion Additive Manufacturing of Fe3Al-1.5Ta Iron Aluminide with Strengthening Laves Phase}, series = {Metals}, volume = {12}, journal = {Metals}, number = {6}, issn = {2075-4701}, doi = {10.3390/met12060997}, language = {en} } @misc{HartRawungBuhlHaerteletal., author = {Hart-Rawung, Thawin and Buhl, Johannes and H{\"a}rtel, Sebastian and Bambach, Markus}, title = {Intelligent Iterative Experimental Design to Achieve Maximum Model Quality for Phase Change of 22MnB5}, series = {Key Engineering Materials}, volume = {926}, journal = {Key Engineering Materials}, publisher = {Verlag Trans Tech Publications Ltd}, doi = {https://doi.org/10.4028/p-0cnty5}, pages = {2031 -- 2039}, language = {en} } @misc{BesongBuhlHaerteletal., author = {Besong, Lemopi Isidore and Buhl, Johannes and H{\"a}rtel, Sebastian and Bambach, Markus}, title = {Increasing the Forming Limits in Hole Flanging of Dual-Phase (DP) 1000 Steel Using Punch Rotation}, series = {Key Engineering Materials}, volume = {Vol. 926}, journal = {Key Engineering Materials}, issn = {1662-9795}, doi = {10.4028/p-06y8un}, pages = {717 -- 723}, language = {en} } @misc{ImranDeillonSizovaetal., author = {Imran, Muhammad and Deillon, L{\´e}a and Sizova, Irina and Neirinck, Bram and Bambach, Markus}, title = {Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)}, series = {Materials \& Design}, volume = {Vol. 223}, journal = {Materials \& Design}, issn = {0264-1275}, doi = {10.1016/j.matdes.2022.111210}, language = {en} } @techreport{BeisegelBuhlIzaretal., author = {Beisegel, Jesse and Buhl, Johannes and Izar, Rameez and Schmidt, Johannes and Bambach, Markus and F{\"u}genschuh, Armin}, title = {Mixed-integer programming for additive manufacturing}, editor = {F{\"u}genschuh, Armin}, address = {Cottbus}, doi = {10.26127/BTUOpen-5731}, pages = {28}, language = {en} } @misc{BambachUensalSviridovetal., author = {Bambach, Markus and {\"U}nsal, Ismail and Sviridov, Alexander and Hama-Saleh, Rebar and Weisheit, Andreas}, title = {Hybrid manufacturing of sheet metals and functionalizing for joining applications via hole flanging}, series = {Production Engineering}, volume = {15}, journal = {Production Engineering}, number = {2}, issn = {0944-6524}, doi = {10.1007/s11740-020-01016-0}, pages = {223 -- 233}, language = {en} } @misc{HartRawungHornBuhletal., author = {Hart-Rawung, Thawin and Horn, Alexander and Buhl, Johannes and Bambach, Markus and Merklein, Marion}, title = {A unified model for isothermal and non-isothermal phase transformation in hot stamping of 22MnB5 steel}, series = {Journal of Materials Processing Technology}, volume = {313}, journal = {Journal of Materials Processing Technology}, issn = {1873-4774}, doi = {10.1016/j.jmatprotec.2023.117856}, language = {en} } @misc{SzyndlerHaertelBambach, author = {Szyndler, Joanna and H{\"a}rtel, Sebastian and Bambach, Markus}, title = {Machine learning of the dynamics of strain hardening based on contact transformations}, series = {Journal of Intelligent Manufacturing}, volume = {2025}, journal = {Journal of Intelligent Manufacturing}, publisher = {Springer}, doi = {10.1007/s10845-025-02577-6}, pages = {22}, abstract = {Dislocation density-based models offer a physically grounded approach to modeling strain hardening in metal forming. Since these models are typically defined by Ordinary Differential Equations (ODEs), their accuracy is constrained by both, the model formulation and the parameter identification process. Machine Learning (ML) provides an alternative by allowing models to be constructed directly from experimental data, bypassing the accuracy limitations of explicitly defined models. However, applying ML to ODEs introduces the need for novel training techniques. This work presents a new approach for developing neural ODE models for flow curve description, utilizing a contact transformation to simplify the problem of learning an ODE into a learning a multivariate function.}, language = {en} }