Referierte Zeitschriftsartikel

A finite volume approach for general fully coupled anisotropic porous solid mechanics of fiber reinforcements in Liquid Composite Molding
Schlegel, S.; Wittemann, F.; Kärger, L.
2025. Composites Part B: Engineering, 302, 112448. doi:10.1016/j.compositesb.2025.112448

Evaluation of the time–temperature superposition by comparing neat and glass-fibre-reinforced epoxy using dynamic mechanical thermal analysis
Esse, D.; Scheuring, B.; Henning, F.; Liebig, W. V.
2025. Polymer Testing, 146, 108747. doi:10.1016/j.polymertesting.2025.108747

Monitoring laser cleaning for enhanced adhesion of FIPG silicone adhesive in automotive industry
Wahl, M.; Doraciak, P.; Römling, L.; Scheffler, T.; Lampke, T.; Henning, F.
2025. International Journal of Adhesion and Adhesives, 138, 103938. doi:10.1016/j.ijadhadh.2025.103938

Evaluation of a decomposition-based interpolation method for fourth-order fiber-orientation tensors: An eigensystem approach
Bauer, J. K.; Krauß, C.; Blarr, J.; Kinon, P. L.; Kärger, L.; Böhlke, T.
2025. Mathematics and Mechanics of Solids, 30 (3), 641–678. doi:10.1177/10812865241241002

Efficient Approximation of Varying Fiber Orientation States in Injection Molded Parts Under Consideration of Multiple Manufacturing Uncertainties
Wittemann, F.; Krauß, C.; Kärger, L.
2025. Applied Composite Materials, 32 (1), 149–172. doi:10.1007/s10443-024-10268-3

Evaluation of mechanical properties characterization of additively manufactured components
Frölich, F.; Bechtloff, L.; Scheuring, B. M.; Heuer, A. L.; Wittemann, F.; Kärger, L.; Liebig, W. V.
2025. Progress in Additive Manufacturing, 10 (2), 1217–1229. doi:10.1007/s40964-024-00700-2

Low velocity impact resistance of hybrid CFRP ‐elastomer‐metal laminates: Influence of stacking sequence and impact conditions on damage mechanisms
Li, Z.; Jackstadt, A.; Zhang, J.; Liebig, W. V.; Kärger, L.
2025. Polymer Composites, 46 (1), 817–831. doi:10.1002/pc.29028

Investigation of the Influence of Manufacturing on Filament Production and Its Impact on Additive Manufactured Structures
Refat, M.; Maertens, R.; Weiss, P.; Henning, F.; Schulze, V.; Liebig, W. V.
2025. Polymers, 17 (5), Art.-Nr.: 651. doi:10.3390/polym17050651

Experimental analysis of the forming behavior of uni- and bidirectional non-crimp fabrics for different geometries
Schäfer, B.; Zheng, R.; Colmars, J.; Platzer, A.; Naouar, N.; Boisse, P.; Kärger, L.
2024. Composites Part B: Engineering, 287, 111765. doi:10.1016/j.compositesb.2024.111765

A hyperelastic approach for modeling the membrane behavior in finite element forming simulation of unidirectional non-crimp fabrics (UD-NCF)
Schäfer, B.; Dörr, D.; Zheng, R.; Naouar, N.; Kärger, L.
2024. Composites Part A: Applied Science and Manufacturing, 185, Art.-Nr.: 108359. doi:10.1016/j.compositesa.2024.108359

Interpolation methods for orthotropic fourth-order fiber orientation tensors in context of virtual composites manufacturing
Mitsch, J.; Krauß, C.; Kärger, L.
2024. Computer Methods in Applied Mechanics and Engineering, 430, Art.-Nr.: 117215. doi:10.1016/j.cma.2024.117215

Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes
Würth, T.; Freymuth, N.; Zimmerling, C.; Neumann, G.; Kärger, L.
2024. Computer Methods in Applied Mechanics and Engineering, 429, Artkl.Nr.: 117102. doi:10.1016/j.cma.2024.117102

On the Averaging and Closure of Fiber Orientation Tensors in Virtual Process Chains
Krauß, C.; Bauer, J. K.; Mitsch, J.; Böhlke, T.; Kärger, L.
2024. Journal of Elasticity, 156 (1), 279–306. doi:10.1007/s10659-024-10050-3

pyGCodeDecode: A Python package for time-accurate GCode simulation in material extrusion processes
Knirsch, J.; Frölich, F.; Hof, L.; Wittemann, F.; Kärger, L.
2024. Journal of Open Source Software, 9 (99), Art.-Nr.: 6465. doi:10.21105/joss.06465

Mesoscopic finite element modeling of biaxial non-crimp fabric including representative stitch pattern
Zheng, R.; Naouar, N.; Colmars, J.; Platzer, A.; Schäfer, B.; Morestin, F.; Kärger, L.; Boisse, P.
2024. Composite Structures, 339, 118126. doi:10.1016/j.compstruct.2024.118126

On the influence of low-velocity impact damage on constrained-layer damping in hybrid CFRP-elastomer-metal laminates
Jackstadt, A.; Liebig, W. V.; Weidenmann, K. A.; Kärger, L.
2024. Materials & Design, 241, Article no: 112882. doi:10.1016/j.matdes.2024.112882

How Domain Knowledge can Improve Machine Learning Surrogates for Manufacturing Process Optimization – a Comparative Study
Böhnke, B. H.; Eismont, A.; Zimmerling, C.; Kärger, L.; Böhm, K.
2024. Procedia CIRP, 130, 145–153. doi:10.1016/j.procir.2024.10.069

A submodeling approach for efficient prediction of local temperature profiles in component-scale additive manufacturing
Frölich, F.; Hof, L.; Zimmerling, C.; Wittemann, F.; Kärger, L.
2024. The International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-024-14913-w

Modeling Approach for Reactive Injection Molding of Polydisperse Suspensions with Recycled Thermoset Composites
Jetty, B.; Wittemann, F.; Kärger, L.
2024. Polymers, 16 (16), Art.-Nr.: 2245. doi:10.3390/polym16162245

Deep convolutional generative adversarial network for generation of computed tomography images of discontinuously carbon fiber reinforced polymer microstructures
Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.
2024. Scientific Reports, 14 (1), Art.-Nr.: 9641. doi:10.1038/s41598-024-59252-8

Swarm reinforcement learning for adaptive mesh refinement
Freymuth, N.; Dahlinger, P.; Würth, T.; Reisch, S.; Kärger, L.; Neumann, G.
2024. Advances in Neural Information Processing Systems, 36 S

Rheological characterization and macroscopic modeling and simulation of the molding process of a PA6 Glass Mat Thermoplastic (GMT)
Dörr, D.; Singh-Heer, N.; Gergely, R. C. R.; Schreyer, L.; Henning, F.; Straatman, A. G.; Hrymak, A.
2024. Composites Part A: Applied Science and Manufacturing, 176, Art.-Nr. 107780. doi:10.1016/j.compositesa.2023.107780

Zeiteffiziente und datenfreie Bauteil- und Prozesssimulation mithilfe von Physics-Informed Neural Networks
Würth, T.; Prietze, A.; Zimmerling, C.; Krauß, C.; Kärger, L.
2023. NAFEMS-Magazin, 68 (4), 39–45

Schnelle Methode zur Approximation von Druck- und Faserorientierungsverteilung infolge prozess- und materialbedingter Streuungen im Spritzguss
Wittemann, F.; Kärger, L.
2023. NAFEMS-Magazin, 68 (4), 22–28

A model for permeability in fibre-reinforced plastics
Sherratt, A.; Ghazimoradi, M.; Montesano, J.; Straatman, A. G.; DeGroot, C. T.; Henning, F.
2023. Transactions of the Canadian Society for Mechanical Engineering, 47 (4), 521 – 531. doi:10.1139/tcsme-2022-0084

Membrane behavior of uni- and bidirectional non-crimp fabrics in off-axis-tension tests
Schäfer, B.; Zheng, R.; Naouar, N.; Kärger, L.
2023. International Journal of Material Forming, 16 (6), Art.-Nr.: 68. doi:10.1007/s12289-023-01792-x

Experimental and predictive analysis of the molding behavior of a PA6 glass mat thermoplastic (GMT)
Dörr, D.; Singh-Heer, N.; Xu, C.; Chang, T.; Clement-Thorne, B.; Gergely, R. C. R.; Okonski, D.; Henning, F.; Straatman, A. G.; Hrymak, A.
2023. The International Journal of Advanced Manufacturing Technology, 129 (3-4), 1159–1173. doi:10.1007/s00170-023-12017-5

Physics-informed neural networks for data-free surrogate modelling and engineering optimization – An example from composite manufacturing
Würth, T.; Krauß, C.; Zimmerling, C.; Kärger, L.
2023. Materials & Design, 231, Art.-Nr.: 112034. doi:10.1016/j.matdes.2023.112034

Permeability and fabric compaction in forming of fiber metal laminates
Kruse, M.; Poppe, C. T.; Henning, F.; Ben Khalifa, N.
2023. Journal of Composite Materials, 57 (16), 2593–2608. doi:10.1177/00219983231175725

CAE-Simulationskette zur Werkzeug- und Prozessauslegung von Carbonfaser-SMC-Bauteilen
Gorde, S. S.; Krauß, C.; Bartkowiak, M.; Kärger, L.
2023. NAFEMS Online-Magazin, (65), 39–48

A hyperelastic material model considering biaxial coupling of tension–compression and shear for the forming simulation of woven fabrics
Schäfer, F.; Werner, H. O.; Henning, F.; Kärger, L.
2023. Composites Part A: Applied Science and Manufacturing, 165, Art.-Nr.: 107323. doi:10.1016/j.compositesa.2022.107323

A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds
Meyer, N.; Gajek, S.; Görthofer, J.; Hrymak, A.; Kärger, L.; Henning, F.; Schneider, M.; Böhlke, T.
2023. Composites Part B: Engineering, 249, Art.-Nr.: 110380. doi:10.1016/j.compositesb.2022.110380

Approaching Polycarbonate as an LFT-D Material: Processing and Mechanical Properties
Schelleis, C.; Scheuring, B. M.; Liebig, W. V.; Hrymak, A. N.; Henning, F.
2023. Polymers, 15 (9), 2041. doi:10.3390/polym15092041

Influence of fiber breakage on flow behavior in fiber length- and orientation-dependent injection molding simulations
Wittemann, F.; Kärger, L.; Henning, F.
2022. Journal of Non-Newtonian Fluid Mechanics, 310, 104950. doi:10.1016/j.jnnfm.2022.104950

On the Resin Transfer Molding (RTM) Infiltration of Fiber-Reinforced Composites made by Tailored Fiber Placement
Bittrich, L.; Seuffert, J.; Dietrich, S.; Uhlig, K.; Lisboa, T. de V.; Kärger, L.; Spickenheuer, A.
2022. Polymers, 14 (22), Art.-Nr.: 4873. doi:10.3390/polym14224873

Flow-induced fiber displacement in non-bindered UD-NCF during Wet Compression Molding – Analysis and implications for process control
Albrecht, F.; Poppe, C.; Tiemann, T.; Sauerwein, V.; Rosenberg, P.; Henning, F.
2022. Composites Science and Technology, 228, Art.-Nr.: 109574. doi:10.1016/j.compscitech.2022.109574

Formability Assessment of Variable Geometries Using Machine Learning - Analysis of the Influence of the Database
Zimmerling, C.; Fengler, B.; Kärger, L.
2022. Key Engineering Materials, 926, 2247–2257. doi:10.4028/p-1o0007

Tensor interpolation in virtual manufacturing chains for fiber reinforced composites
Krauß, C.; Kärger, L.
2022. International Journal of Mechanical Sciences, 226, Article no: 107378. doi:10.1016/j.ijmecsci.2022.107378

Thermal Modeling of Laser Powder Bed Fusion during Printing on Temperature-Unstable Materials Considering Local Sintering
Frölich, F.; Kärger, L.
2022. Key Engineering Materials, 926, 331–340. doi:10.4028/p-uq57va

Experimental and Numerical Analysis of SMC Compression Molding in Confined Regions : A Comparison of Simulation Approaches
Rothenhäusler, F.; Meyer, N.; Wehler, S.; Hohberg, M.; Gude, M.; Henning, F.; Kärger, L.
2022. Journal of composites science, 6 (3), Art.-Nr.: 68. doi:10.3390/jcs6030068

Low-velocity impact behavior of hybrid CFRP-elastomer-metal laminates in comparison with conventional fiber-metal laminates
Li, Z.; Zhang, J.; Jackstadt, A.; Kärger, L.
2022. Composite structures, 287, Art.Nr.: 115340. doi:10.1016/j.compstruct.2022.115340

Analytical modeling and investigation of constrained layer damping in hybrid laminates based on a unified plate formulation
Jackstadt, A.; Liebig, W. V.; Kärger, L.
2022. International journal of mechanical sciences, 216 (216), Art.Nr.: 106964. doi:10.1016/j.ijmecsci.2021.106964

Investigation of the Membrane Behavior of UD-NCF in Macroscopic Forming Simulations
Schäfer, B.; Haas, S.; Boisse, P.; Kärger, L.
2022. Key Engineering Materials, 926, 1413–1422. doi:10.4028/p-2977b4

Towards 3D Process Simulation for In-Situ Hybridization of Fiber-Metal-Laminates (FML)
Poppe, C. T.; Werner, H. O.; Kruse, M.; Chen, H.; Ben Khalifa, N.; Henning, F.; Kärger, L.
2022. Key Engineering Materials, 926, 1399–1412. doi:10.4028/p-cr2tco

Prediction of Gaps in Automated Tape Laying and Their Influence on Porosity in Consolidated Laminates
Link, T.; Rosenberg, P.; Henning, F.
2022. Journal of Composites Science, 6 (7), Art.Nr. 207. doi:10.3390/jcs6070207

Advances in composite forming through 25 years of ESAFORM
Boisse, P.; Akkerman, R.; Carlone, P.; Kärger, L.; Lomov, S. V.; Sherwood, J. A.
2022. International Journal of Material Forming, 15 (3), 39. doi:10.1007/s12289-022-01682-8

Systematic Approach for Finite Element Analysis of Thermoplastic Impregnated 3D Filament Winding Structures—Advancements and Validation
Haas, J.; Aberle, D.; Krüger, A.; Beck, B.; Eyerer, P.; Kärger, L.; Henning, F.
2022. Journal of Composites Science, 6 (3), Art.-Nr.: 98. doi:10.3390/jcs6030098

The Direct Sandwich Composite Molding (D-SCM) Process: Sandwich Manufacturing and Characterization
Behnisch, F.; Brütsch, J.; Werner, H. O.; Henning, F.
2022. Journal of Composites Science, 6 (3), Art.-Nr.: 81. doi:10.3390/jcs6030081

Hybrid material additive manufacturing: interlocking interfaces for fused filament fabrication on laser powder bed fusion substrates
Englert, L.; Heuer, A.; Engelskirchen, M. K.; Frölich, F.; Dietrich, S.; Liebig, W. V.; Kärger, L.; Schulze, V.
2022. Virtual and Physical Prototyping, 17 (3), 508–527. doi:10.1080/17452759.2022.2048228

Optimisation of manufacturing process parameters for variable component geometries using reinforcement learning
Zimmerling, C.; Poppe, C.; Stein, O.; Kärger, L.
2022. Materials and Design, 214, Art.-Nr.: 110423. doi:10.1016/j.matdes.2022.110423

Modeling the Mullins effect of rubbers used in constrained‐layer damping applications
Jackstadt, A.; Frölich, F.; Weidenmann, K.; Kärger, L.
2021. Proceedings in applied mathematics and mechanics, 21 (1), e202100098. doi:10.1002/pamm.202100098

Micro-Scale Permeability Characterization of Carbon Fiber Composites Using Micrograph Volume Elements
Seuffert, J.; Bittrich, L.; Cardoso de Oliveira, L.; Spickenheuer, A.; Kärger, L.
2021. Frontiers in Materials, 8, Art. Nr.: 745084. doi:10.3389/fmats.2021.745084

Simplified modeling of electromagnets for dynamic simulation of transient effects for a synchronous electric motor
Bechler, F.; Kesten, J.; Wittemann, F.; Henning, F.; Doppelbauer, M.; Eberhard, P.
2021. International Journal of Mechanical System Dynamics, 1 (1), 89–95. doi:10.1002/msd2.12005

Theoretical approximation of hydrodynamic and fiber-fiber interaction forces for macroscopic simulations of polymer flow process with fiber orientation tensors
Wittemann, F.; Kärger, L.; Henning, F.
2021. Composites. Part C, Open access, 5, Art.-Nr. 100152. doi:10.1016/j.jcomc.2021.100152

Extension of an analytical solution of a unified formulation to the frequency response of composite plates with viscoelastic layers
Jackstadt, A.; Kärger, L.
2021. Proceedings in applied mathematics and mechanics, 20 (1), Art.-Nr.: e202000234. doi:10.1002/pamm.202000234

Experimental and numerical analysis of mold filling in rotational molding
Nieschlag, J.; Seuffert, J.; Strack, D.; Friedmann, M.; Kärger, L.; Henning, F.; Fleischer, J.
2021. Journal of Composites Science, 5 (11), 289. doi:10.3390/jcs5110289

Modeling Short-Range Interactions in Concentrated Newtonian Fiber Bundle Suspensions
Meyer, N.; Hrymak, A. N.; Kärger, L.
2021. International Polymer Processing, 36 (3), 255–263. doi:10.1515/ipp-2020-4051

Wide Scale Characterization and Modeling of the Vibration and Damping Behavior of CFRP-Elastomer-Metal Laminates—Comparison and Discussion of Different Test Setups
Sessner, V.; Liebig, W. V.; Jackstadt, A.; Schmid, D.; Ehrig, T.; Holeczek, K.; Gräbner, N.; Kostka, P.; Wagner, U. von; Weidenmann, K. A.; Kärger, L.
2021. Applied composite materials, 28 (5), 1715–1746. doi:10.1007/s10443-021-09934-7

Systematic approach for finite element analysis of thermoplastic impregnated 3D filament winding structures – General concept and first validation results
Haas, J.; Hassan, O. N.; Beck, B.; Kärger, L.; Henning, F.
2021. Composite Structures, 268, Art.-Nr.: 113964. doi:10.1016/j.compstruct.2021.113964

Development of a reactive polyurethane foam system for the direct sandwich composite molding (D-SCM) process
Behnisch, F.; Lichtner, V.; Henning, F.; Rosenberg, P.
2021. Journal of Composites Science, 5 (4), 104. doi:10.3390/jcs5040104

A 3D process simulation model for wet compression moulding
Poppe, C. T.; Krauß, C.; Albrecht, F.; Kärger, L.
2021. Composites Part A: Applied Science and Manufacturing, 145, Art.-Nr.: 106379. doi:10.1016/j.compositesa.2021.106379

The impact of draping effects on the stiffness and failure behavior of unidirectional non-crimp fabric fiber reinforced composites
Kunze, E.; Galkin, S.; Böhm, R.; Gude, M.; Kärger, L.
2020. Materials, 13 (13), Art. Nr.: 2959. doi:10.3390/ma13132959

Experimental and numerical investigations of pressure-controlled resin transfer molding (PC-RTM)
Seuffert, J.; Rosenberg, P.; Kärger, L.; Henning, F.; Kothmann, M. H.; Deinzer, G.
2020. Advanced manufacturing: polymer & composites science, 6 (3), 154–163. doi:10.1080/20550340.2020.1805689

Direct Bundle Simulation approach for the compression molding process of Sheet Molding Compound
Meyer, N.; Schöttl, L.; Bretz, L.; Hrymak, A. N.; Kärger, L.
2020. Composites / A, 132, Article: 105809. doi:10.1016/j.compositesa.2020.105809

A novel approach for segmenting and mapping of local fiber orientation of continuous fiber-reinforced composite laminates based on volumetric images
Schöttl, L.; Dörr, D.; Pinter, P.; Weidenmann, K. A.; Elsner, P.; Kärger, L.
2020. NDT & E international, 110, Art.-Nr.: 102194. doi:10.1016/j.ndteint.2019.102194

On the applicability of thermoforming characterization and simulation approaches to glass mat thermoplastic composites
Dörr, D.; Gergely, R.; Ivanov, S.; Kärger, L.; Henning, F.; Hrymak, A.
2020. Procedia manufacturing, 47, 118–125. doi:10.1016/j.promfg.2020.04.148

A 3D modelling approach for fluid progression during process simulation of wet compression moulding - Motivation & approach
Poppe, C.; Albrecht, F.; Krauß, C.; Kärger, L.
2020. Procedia manufacturing, 47, 85–92. doi:10.1016/j.promfg.2020.04.141

Capabilities of macroscopic forming simulation for large-scale forming processes of dry and impregnated textiles
Kärger, L.; Galkin, S.; Dörr, D.; Poppe, C.
2020. Procedia manufacturing, 47, 140–147. doi:10.1016/j.promfg.2020.04.155

Estimating optimum process parameters in textile draping of variable part geometries - A reinforcement learning approach
Zimmerling, C.; Poppe, C.; Kärger, L.
2020. Procedia manufacturing, 47, 847–854. doi:10.1016/j.promfg.2020.04.263

Material modeling in forming simulation of three-dimensional fiber-metal-laminates - A parametric study
Werner, H. O.; Poppe, C.; Henning, F.; Kärger, L.
2020. Procedia manufacturing, 47, 154–161. doi:10.1016/j.promfg.2020.04.160

Parameter Identification of Fiber Orientation Models Based on Direct Fiber Simulation with Smoothed Particle Hydrodynamics
Meyer, N.; Saburow, O.; Hohberg, M.; Hrymak, A. N.; Henning, F.; Kärger, L.
2020. Journal of composites science, 4 (2), 77. doi:10.3390/jcs4020077

Reduced-Integrated 8-Node Hexahedral Solid-Shell Element for the Macroscopic Forming Simulation of Continuous Fibre-Reinforced Polymers
Schäfer, B.; Dörr, D.; Kärger, L.
2020. Procedia manufacturing, 47, 134–139. doi:10.1016/j.promfg.2020.04.154

Virtual Product Development Using Simulation Methods and AI
Zimmerling, C.; Poppe, C.; Kärger, L.
2019. Lightweight Design worldwide, 12 (6), 12–19. doi:10.1007/s41777-019-0064-x

Virtuelle Produktentwicklung mittels Simulationsmethoden und KI
Zimmerling, C.; Poppe, C.; Kärger, L.
2019. Lightweight design, 12 (6), 12–19. doi:10.1007/s35725-019-0069-8

Application of a mixed variational higher order plate theory towards understanding the deformation behavior of hybrid laminates
Jackstadt, A.; Liebig, W. V.; Sessner, V.; Weidenmann, K. A.; Kärger, L.
2019. Proceedings in applied mathematics and mechanics, 19 (1), e201900048. doi:10.1002/pamm.201900048

A machine learning assisted approach for textile formability assessment and design improvement of composite components
Zimmerling, C.; Dörr, D.; Henning, F.; Kärger, L.
2019. Composites / A, 124, Art. Nr.: 105459. doi:10.1016/j.compositesa.2019.05.027

Frequency domain modelling of transversely isotropic viscoelastic fibre-reinforced plastics
Liebig, W. V.; Jackstadt, A.; Sessner, V.; Weidenmann, K. A.; Kärger, L.
2019. Composites science and technology, 180, 101–110. doi:10.1016/j.compscitech.2019.04.019

Manufacturing uncertainties and resulting robustness of optimized patch positions on continuous-discontinuous fiber reinforced polymer structures
Fengler, B.; Schäferling, M.; Schäfer, B.; Bretz, L.; Lanza, G.; Häfner, B.; Hrymak, A.; Kärger, L.
2019. Hospital physician, 213, 47–57. doi:10.1016/j.compstruct.2019.01.063

Experimental and Numerical Determination of the Local Fiber Volume Content of Unidirectional Non-Crimp Fabrics with Forming Effects
Galkin, S.; Kunze, E.; Kärger, L.; Böhm, R.; Gude, M.
2019. Journal of composites science, 3 (1), Article: 19. doi:10.3390/jcs3010019

Development of a modular draping test bench for analysis of infiltrated woven fabrics in wet compression molding
Albrecht, F.; Zimmerling, C.; Poppe, C.; Kärger, L.; Henning, F.
2019. Key engineering materials, 809, 35–40. doi:10.4028/www.scientific.net/KEM.809.35

A coupled thermomechanical approach for finite element forming simulation of continuously fiber-reinforced semi-crystalline thermoplastics
Dörr, D.; Joppich, T.; Kugele, D.; Henning, F.; Kärger, L.
2019. Composites / A, 125, 105508. doi:10.1016/j.compositesa.2019.105508

Experimental and numerical study of the spring-in of angled brackets manufactured using different resins and fiber textiles
Bernath, A.; Groh, F.; Exner, W.; Hühne, C.; Henning, F.
2019. Journal of composite materials, 53 (28-30), 4173–4188. doi:10.1177/0021998319855423

Comparative experimental and numerical analysis of bending behaviour of dry and low viscous infiltrated woven fabrics
Poppe, C.; Rosenkranz, T.; Dörr, D.; Kärger, L.
2019. Composites / A, 124, Art. Nr.: 105466. doi:10.1016/j.compositesa.2019.05.034

Injection molding simulation of short fiber reinforced thermosets with anisotropic and non-Newtonian flow behavior
Wittemann, F.; Maertens, R.; Kärger, L.; Henning, F.
2019. Composites / A, 124, 105476. doi:10.1016/j.compositesa.2019.105476

Multi-objective CoFRP patch optimization with consideration of manufacturing constraints and integrated warpage simulation
Fengler, B.; Hrymak, A.; Kärger, L.
2019. Hospital physician, 221, Art. Nr.: 110861. doi:10.1016/j.compstruct.2019.04.033

Virtual process chain of sheet molding compound: Development, validation and perspectives
Görthofer, J.; Meyer, N.; Pallicity, T. D.; Schöttl, L.; Trauth, A.; Schemmann, M.; Hohberg, M.; Pinter, P.; Elsner, P.; Henning, F.; Hrymak, A.; Seelig, T.; Weidenmann, K.; Kärger, L.; Böhlke, T.
2019. Composites / B, 169, 133–147. doi:10.1016/j.compositesb.2019.04.001

Damping Characterization of Hybrid Carbon Fiber Elastomer Metal Laminates using Experimental and Numerical Dynamic Mechanical Analysis
Sessner, V.; Jackstadt, A.; Liebig, W.; Kärger, L.; Weidenmann, K.
2019. Journal of composites science, 3 (1), 3. doi:10.3390/jcs3010003

Fast processing and continuous simulation of automotive structural composite components
Henning, F.; Kärger, L.; Dörr, D.; Schirmaier, F. J.; Seuffert, J.; Bernath, A.
2019. Composites science and technology, 171, 261–279. doi:10.1016/j.compscitech.2018.12.007

Enhanced Transient Hot Bridge Method Using a Finite Element Analysis
Gaiser, J.; Stripf, M.; Henning, F.
2019. International journal of thermophysics, 40 (1), Art. Nr.: 12. doi:10.1007/s10765-018-2476-y

Numerical and experimental investigations of the damping behaviour of hybrid CFRP-elastomer-metal laminates
Liebig, W. V.; Sessner, V.; Weidenmann, K. A.; Kärger, L.
2018. Composite Structures, 202, 1109–1113. doi:10.1016/j.compstruct.2018.05.051

Nozzle clogging factors during fused filament fabrication of spherical particle filled polymers
Beran, T.; Mulholland, T.; Henning, F.; Rudolph, N.; Osswald, T. A.
2018. Additive manufacturing, 23, 206–214. doi:10.1016/j.addma.2018.08.009

Nonlinear hyperviscoelastic modelling of intra-ply deformation behaviour in finite element forming simulation of continuously fibre-reinforced thermoplastics
Dörr, D.; Henning, F.; Kärger, L.
2018. Composites / A, 109, 585–596. doi:10.1016/j.compositesa.2018.03.037

Forming optimisation embedded in a CAE chain to assess and enhance the structural performance of composite components
Kärger, L.; Galkin, S.; Zimmerling, C.; Dörr, D.; Linden, J.; Oeckerath, A.; Wolf, K.
2018. Composite structures, 192, 143–152. doi:10.1016/j.compstruct.2018.02.041

Numerical and experimental investigation of manufacturing and performance of metal inserts embedded in CFRP
Muth, M.; Schwennen, J.; Bernath, A.; Seuffert, J.; Weidenmann, K. A.; Fleischer, J.; Henning, F.
2018. Production engineering, 12 (2), 141–152. doi:10.1007/s11740-018-0829-9

Simulation of Reinforced Reactive Injection Molding with the Finite Volume Method
Wittemann, F.; Maertens, R.; Bernath, A.; Hohberg, M.; Kärger, L.; Henning, F.
2018. Journal of composites science, 2 (1), Aritcle no: 5. doi:10.3390/jcs2010005

Simulating Mold Filling in Compression Resin Transfer Molding (CRTM) Using a Three-Dimensional Finite-Volume Formulation
Seuffert, J.; Kärger, L.; Henning, F.
2018. Journal of composites science, 2 (2), Article: 23. doi:10.3390/jcs2020023

Experimental and numerical investigation of the shear behaviour of infiltrated woven fabrics
Poppe, C.; Dörr, D.; Henning, F.; Kärger, L.
2018. Composites / A, 114, 327–337. doi:10.1016/j.compositesa.2018.08.018

Experimental and numerical study of the influence of integrated load transmission elements on filling behavior in resin transfer molding
Magagnato, D.; Seuffert, J.; Bernath, A.; Kärger, L.; Henning, F.
2018. Composite structures, 198, 135–143. doi:10.1016/j.compstruct.2018.05.021

Simplified phenomenological model of the nonlinear behavior of FRPs under combined stress states
Galkin, S.; Schirmaier, F. J.; Kärger, L.
2018. Journal of composite materials, 52 (4), 475–485. doi:10.1177/0021998317709332

Rheological In-Mold Measurements and Characterizations of Sheet-Molding-Compound (SMC) Formulations with Different Constitution Properties by Using a Compressible Shell Model
Hohberg, M.; Kärger, L.; Bücheler, D.; Henning, F.
2017. International polymer processing, 32 (5), 659–668. doi:10.3139/217.3556

A macroscopic approach to simulate the forming behaviour of stitched unidirectional non-crimp fabrics (UD-NCF)
Schirmaier, F. J.; Dörr, D.; Henning, F.; Kärger, L.
2017. Composites / A, 102, 322–335. doi:10.1016/j.compositesa.2017.08.009

An Iterative Approach for the Determination of Tailored Blanks for Waste-Free Composite Forming by Means of FE Forming Simulation
Dörr, D.; Lipowsky, L.; Schirmaier, F. J.; Kärger, L.; Henning, F.
2017. International journal of automotive composites, 3 (2-4, SI), 323–338. doi:10.1504/IJAUTOC.2017.091427

A Direct Process to Reuse Dry Fiber Production Waste for Recycled Carbon Fiber Bulk Molding Compounds
Saburow, O.; Huether, J.; Maertens, R.; Trauth, A.; Kechaou, Y.; Henning, F.; Weidenmann, K. A.
2017. Procedia CIRP, 66, 265–270. doi:10.1016/j.procir.2017.03.280

Virtual characterization and macroscopic material modeling of a carbon fiber-reinforced PA6 UD composite
Rösner, A. M.; Kärger, L.; Henning, F.
2017. Journal of composite materials, 51 (21), 3075–3086. doi:10.1177/0021998316681186

A Benchmark Study of Finite Element Codes for Forming Simulation of Thermoplastic UD-Tapes
Dörr, D.; Brymerski, W.; Ropers, S.; Leutz, D.; Joppich, T.; Kärger, L.; Henning, F.
2017. Procedia CIRP, 66, 101–106. doi:10.1016/j.procir.2017.03.223

Advanced Molds and Methods for the Fundamental Analysis of Process Induced Interface Bonding Properties of Hybrid, Thermoplastic Composites
Joppich, T.; Menrath, A.; Henning, F.
2017. Procedia CIRP, 66, 137–142. doi:10.1016/j.procir.2017.03.275

Evaluation of the physical mechanisms of adhesively bonded metal-based hybrid material systems under tensile loading
Hummelberger, D.; Kärger, L.; Weidenmann, K. A.; Staeves, J.; Henning, F.
2017. Materials and design, 132, 215–224. doi:10.1016/j.matdes.2017.07.001

Rheological measurements and rheological shell model Considering the compressible behavior of long fiber reinforced sheet molding compound (SMC)
Hohberg, M.; Kärger, L.; Henning, F.; Hrymak, A.
2017. Composites / A, 95, 110–117. doi:10.1016/j.compositesa.2017.01.006

A viscoelastic approach for modeling bending behavior in finite element forming simulation of continuously fiber reinforced composites
Dörr, D.; Schirmaier, F. J.; Henning, F.; Kärger, L.
2017. Composites / A, 94, 113–123. doi:10.1016/j.compositesa.2016.11.027

Design concept of a lightweight electric motor casing with support from thermomechanical simulations
Müller, T.; Blazek, G.; Henning, F.
2016. International journal of automotive composites, 2 (2), 167–186. doi:10.1504/IJAUTOC.2016.082047

Determination of curing kinetics of a two-stage curing epoxy resin for high performance composites / Bestimmung der aushärtekinetik eines 2-stufig aushärtenden Epoxidharzes zur Herstellung von Hochleistungsfaserverbunden
Karcher, M.; Chaloupka, A.; Henning, F.; Schmölzer, S.; Moukhina, E.
2016. Zeitschrift Kunststofftechnik, 2016 (2), 80–111. doi:10.3139/O999.03022016

Hexaphenoxycyclotriphosphazene as FR for CFR anionic PA6 via T-RTM : A study of mechanical and thermal properties
Höhne, C.-C.; Wendel, R.; Käbisch, B.; Anders, T.; Henning, F.; Kroke, E.
2016. Fire and materials, 41 (4), 291–306. doi:10.1002/fam.2375

Experimental and numerical analysis of bolt-loaded open-hole laminates reinforced by winded carbon rovings
Botzkowski, T.; Galkin, S.; Wagner, S.; Sikora, S. P.; Kärger, L.
2016. Composite structures, 141, 194–202. doi:10.1016/j.compstruct.2016.01.057

Accurate Cure Modeling for Isothermal Processing of Fast Curing Epoxy Resins
Bernath, A.; Kärger, L.; Henning, F.
2016. Polymers, 8 (11), 390. doi:10.3390/polym8110390

Using Thermogravimetric Analysis to Determine Carbon Fiber Weight Percentage of Fiber-Reinforced Plastics
Bücheler, D.; Kaiser, A.; Henning, F.
2016. Composites / B, 106, 218–223. doi:10.1016/j.compositesb.2016.09.028

RTM molding simulation for unidirectional fiber reinforced composite components considering local fiber orientation and fiber volume fraction : RTM formfüllsimulation für unidirektional ver-stärkte faserverbundbauteile unter berück-sichtigung der lokalen faserorientierung und des faservolumengehalts
Magagnato, D.; Henning, F.
2016. Zeitschrift Kunststofftechnik/Journal of Plastics Technology, 2016 (3), 135–156. doi:10.3139/O999.01032016

Process-Oriented Determination of Preform Permeability and Matrix Viscosity during Mold Filling in Resin Transfer Molding
Magagnato, D.; Henning, F.
2015. Materials science forum, 825-826, 822–829. doi:10.4028/www.scientific.net/MSF.825-826.822

Combining mechanical interlocking, force fit and direct adhesion in polymer-metal-hybrid structures - Evaluation of the deformation and damage behavior
Paul, H.; Luke, M.; Henning, F.
2015. Composites / B, 73, 158–165. doi:10.1016/j.compositesb.2014.12.013

Development and validation of a CAE chain for unidirectional fibre reinforced composite components
Kärger, L.; Bernath, A.; Fritz, F.; Galkin, S.; Magagnato, D.; Oeckerath, A.; Schön, A.; Henning, F.
2015. Composite structures, 132, 350–358. doi:10.1016/j.compstruct.2015.05.047

Experimental characterization to determine the influence of different binder systems to the preform permeability during RTM manufacturing
Magagnato, D.; Thoma, B.; Henning, F.
2015. Zeitschrift Kunststofftechnik / Journal of Plastics Technology, 11 (4), 256–270. doi:10.3139/O999.03042015

Evaluation of different hybrid material systems and systematic analysis of their physical mechanisms in terms of fatigue
Hummelberger, D.; Kärger, L.; Henning, F.
2015. Materials Science Forum, 825-826, 473–481. doi:10.4028/www.scientific.net/MSF.825-826.473

A new efficient and reliable algorithm to determine the fracture angle for Puck’s 3D matrix failure criterion for UD composites
Schirmaier, F.; Weiland, J.; Kärger, L.; Henning, F.
2014. Composites Science and Technology, 100, 19–25. doi:10.1016/j.compscitech.2014.05.033

Leichtbau leicht gemacht - Wirtschaftliche Herstellung von Faserverbundwerkstoff-Teilen
Thoma, B.; Henning, F.
2010. Plastverarbeiter, (10), 140–141

Investigations on imperfection sensitivity and deduction of improved knock-down factors for unstiffened CFRP cylindrical shells
Degenhardt, R.; Kling, A.; Bethge, A.; Orf, J.; Kärger, L.; Zimmermann, R.; Rohwer, K.; Calvi, A.
2010. Composite Structures, 92 (8), 1939–1946. doi:10.1016/j.compstruct.2009.12.014

Evaluation of Impact Assessment Methodologies. Part I: Applied Methods
Kärger, L.; Baaran, J.; Gunnion, A.; Thomson, R.
2009. Composites Part B, 40 (1), 65–70

Evaluation of Impact Assessment Methodologies Part II: Experimental Validation
Kärger, L.; Baaran, J.; Gunnion, A.; Thomson, R.
2009. Composites Part B, 40 (1), 71–76

Efficient simulation of low-velocity impacts on composite sandwich panels
Kärger, L.; Baaran, J.; Teßmer, J.
2008. Computers and Structures, 86 (9), 988–996

Efficient prediction of composite damage resistance and damage tolerance
Baaran, J.; Kärger, L.; Wetzel, A.
2008. Proceedings of the Institution of Mechanical Engineers. Part G: Journal of Aerospace Engineering, 222 (2), 179–188

Rapid simulation of impacts on composite sandwich panels inducing barely visible damage
Kärger, L.; Baaran, J.; Teßmer, J.
2007. Composite Structures, 79 (4), 527–534

Stiffness and failure behaviour of folded sandwich cores under combined transverse shear and compression
Kintscher, M.; Kärger, L.; Wetzel, A.; Hartung, D.
2007. Composites Part A: Applied Science and Manufacturing, 38 (5), 1288–1295

A three-layered sandwich element with improved transverse shear stiffness and stresses based on FSDT
Kärger, L.; Wetzel, A.; Rolfes, R.; Rohwer, K.
2006. Computers and Structures, 84 (13-14), 843–854

Evaluation of two finite element formulations for a rapid 3D stress analysis of sandwich structures
Wetzel, A.; Kärger, L.; Rolfes, R.; Rohwer, K.
2005. Computers and Structures, 83 (19-20), 843–854