Publikationer

Her finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Mekanik og Produktion for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Publikationsliste

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Jensen, H. M. (2024). Propagating instabilities in solids. I ICTAM2024: Abstract Book (s. 48-51). International Congress of Theoretical and Applied Mechanics.

Jensen, A. M. D., Schoerghofer-Queiroz, A., Ulriksen, M. D., Tcherniak, D., Damkilde, L., Talasila, P., Larsen, P. G. & Abbiati, G. (2024). Digital twin as a service for damage prognosis of offshore wind turbine foundations. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 4127-4141). KU Leuven, Departement Werktuigkunde.

Jensen, R. M. & Forooghi, P. (2025). A study of turbulent flow over patchy roughness. Journal of Fluid Mechanics, 1006, Artikel A28. https://doi.org/10.1017/jfm.2024.1095

Jensen, J. S. K., Esmizadeh, S., Lund, M., Juhl, J., Nemati, N. & Aghababaei, R. (2025). Evaluating the effect of particle roundness on three-body wear between polymers and metals. Wear, 570, Artikel 206000. https://doi.org/10.1016/j.wear.2025.206000

Jensen, J. S. K. (2024). Investigation of three-body abrasive sand wear in submersible pumps. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

Jacobsen, A. N., Mahravan, E., Kragh-Schwarz, M. V., Catalano, J. & Fooroghi, P. (2025). Multiphysics simulations of alkaline water electrolyzer cells — A sensitivity study on the effect of two-phase flow modeling. Electrochimica Acta, 541, Artikel 147148. https://doi.org/10.1016/j.electacta.2025.147148

Islam, R. & Borah, J. P. (2023). 3d transition metal substituted Fe3Se4: prediction of potential permanent magnet. Journal of Physics: Condensed Matter, 35(32), Artikel 325801. https://doi.org/10.1088/1361-648X/acd319

Islam, R., Madsen, S. P. & Christensen, M. (2024). Exploring the magnetic properties of W-type SrFe18O27 hexaferrite: Insights from a first-principles study. Physical Review B, 109(2), Artikel 024414. https://doi.org/10.1103/PhysRevB.109.024414

Islam, R., Vero, K. & Borah, J. P. (2024). Historical overview and recent advances in permanent magnet materials. Materials Today Communications, 41, Artikel 110538. https://doi.org/10.1016/j.mtcomm.2024.110538

Islam, R., Madsen, S. P. & Christensen, M. (2025). Enhancing magnetocrystalline anisotropy in W-type SrFe₁₈O₂₇ hexaferrite via tailored substitutions. Acta Materialia, 288, 120828. Artikel 120828. https://doi.org/10.1016/j.actamat.2025.120828

Ip, Y. C. A., Montemartini, L., Chang, J. J. M., Desiderato, A., Franco-Sierra, N. D., Geckeler, C., Herrera, M. A. G., Gregorini, M., Jucker, M., Kirchgeorg, S., Lüthi, M., Mächler, E., Thostrup, F. B., Murari, G., Mura, M., Pulido-Santacruz, P., Sangermano, F., Schindler, T., Melvad, C. ... Deiner, K. (2025). Real-time malaria detection in the Amazon rainforest via drone-collected eDNA and portable qPCR. One Health, 21, Artikel 101167. https://doi.org/10.1016/j.onehlt.2025.101167

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. I ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Bind 9). Artikel IMECE2023-116581, V009T10A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2023-116581

I. A. Yang, X., Abkar, M. & I. Park, G. (2024). Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime. Journal of Fluids Engineering, Transactions of the ASME, 146(8), Artikel 081501. https://doi.org/10.1115/1.4064850

Hund, J., Kouznetsova, V. & Andriollo, T. (2025). Efficient prediction of strength and strain localisation in porous solids via microstructure-based limit analysis. Mechanics of Materials, 201, Artikel 105208. https://doi.org/10.1016/j.mechmat.2024.105208

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. I Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 1740-1748)

Hu, P., Dias, M. A. & Budzik, M. K. (2024). Geometric tunability of interlaminar resistance. Composites Part B: Engineering, 287, Artikel 111839. https://doi.org/10.1016/j.compositesb.2024.111839

Hu, P., Li, S. & Budzik, M. K. (2025). Decoupling fracture energy from crack area via surface patterning. Surfaces and Interfaces, 62, Artikel 106066. https://doi.org/10.1016/j.surfin.2025.106066

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, Artikel e13837. https://doi.org/10.7717/peerj.13837

Hornshøj-Møller, S., Nielsen, P., Forooghi, P. & Abkar, M. (2021). Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes. Renewable Energy, 164, 1550-1558. https://doi.org/10.1016/j.renene.2020.10.148

Hesselvig, J., Nygaard, R. T., Budzik, M. K. & Sandberg, M. (2025). Efficient continuum-based modelling and analysis of polymer SLS: Insights into particle sintering and densification in straight and corner scanning passes. Additive Manufacturing, 109, Artikel 104828. https://doi.org/10.1016/j.addma.2025.104828

Hesselvig, J., Nygaard, R. T., Budzik, M. K. & Sandberg, M. (2025). Particle Flow and Printing Path Effects in SLS. Abstract fra EPF European Polymer Congress, Groningen, Holland.

Hesse, N., Strack, D., Rischewski, J. F., Gassert, F. T., Kufner, A., Urban, T., Lochschmidt, M. E., Schwaiger, B. J., Braun, C., Mueller, D. P., Pfeiffer, D., Baum, T., Subburaj, K., Pfeiffer, F. & Gersing, A. S. (2025). Finite element fracture load analysis and dark-field X-ray imaging of osteoporotic and healthy vertebrae in human lumbar spine specimens. BMC Musculoskeletal Disorders, 26(1), Artikel 545. https://doi.org/10.1186/s12891-025-08709-6

Helal, I. B. I., Du, Y., Wang, H. & Zhang, X. (2024). Dynamic Modelling of a Continuum Robot Arm with Five 3-DoF Segments. I X. Rui & C. Liu (red.), Proceedings of the 2nd International Conference on Mechanical Systems (s. 477-493). Springer. https://doi.org/10.1007/978-981-99-8048-2_30

Hejlskov Hansen, M., Vernica, T., Mansour, R. & Ramanujan, D. (2024). Three-Dimensional Visualization of Energy Consumption Data in Additive Manufacturing. I 44th Computers and Information in Engineering Conference (CIE): 44th Computers and Information in Engineering Conference (CIE) (Bind 2A). Artikel V02AT02A046 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2024-143405

Heide-Jørgensen, S., Ibsen, C. H. & Budzik, M. K. (2021). Temperature dependence of moisture diffusion in woven epoxy-glass composites: A theoretical and experimental study. Materials Today Communications, 29, Artikel 102844. https://doi.org/10.1016/j.mtcomm.2021.102844

Heide-Jørgensen, S., Budzik, M. K. & Ibsen, C. H. (2022). Three-dimensional, multiscale homogenization for hybrid woven composites with fiber-matrix debonding. Composites Science and Technology, 218, Artikel 109204. https://doi.org/10.1016/j.compscitech.2021.109204

He, L., Wang, C., Zhang, M., Li, J., Chen, T. & Zhou, X. (2025). Design of BCC/FCC dual-solid solution refractory high-entropy alloys through CALPHAD, machine learning and experimental methods. npj Computational Materials, 11(1), Artikel 105. https://doi.org/10.1038/s41524-025-01597-3

Hashmi, M. F., Ashish, B. K. K., Sharma, V., Keskar, A. G., Bokde, N., Yoon, J. H. & Geem, Z. W. (2021). LARNet: Real-Time Detection of Facial Micro Expression Using Lossless Attention Residual Network. Sensors, 21(4), Artikel 1098. https://doi.org/10.3390/s21041098

Hansen, C., I. A. Yang, X. & Abkar, M. (2022). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Boundary Layers. I Proceedings of the ASME 2022 Fluids Engineering Division Summer Meeting : Volume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Artikel FEDSM2022-87630, V002T05A023 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2022-87630

Hansen, C., I. A. Yang, X. & Abkar, M. (2023). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Turbulent Boundary Layers. Journal of Fluids Engineering, Transactions of the ASME, 145(6), Artikel FE-22-1510. https://doi.org/10.1115/1.4057016

Hansen, C., I.A. Yang, X. & Abkar, M. (2023). A POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions. Journal of Fluid Mechanics, 975, Artikel A24. https://doi.org/10.1017/jfm.2023.857

Hansen, C., Sørensen, J. N., I. A. Yang, X. & Abkar, M. (2024). Extension of the law of the wall exploiting weak similarity of velocity fluctuations in turbulent channels. Physics of Fluids, 36(1), Artikel 015134. https://doi.org/10.1063/5.0185334

Hansen, J. G. & de Figueiredo, R. P. (2024). Active Object Detection and Tracking Using Gimbal Mechanisms for Autonomous Drone Applications. Drones, 8(2), Artikel 55. https://doi.org/10.3390/drones8020055

Hansen, C., Yang, X. I. A. & Abkar, M. (2026). Wall-modeled large-eddy simulation of turbulent smooth body separation using the OpenFOAM flow solver. Journal of Fluids Engineering, Transactions of the ASME, Artikel 011502.

Hansen, C. (2025). Modern Perspectives on Wall-Bounded Turbulence Modeling: Merging Physics-based and Data-Driven Approaches. [Ph.d.-afhandling, Aarhus Universitet].

Haegel, N. M., Verlinden, P., Victoria, M., Altermatt, P., Atwater, H., Barnes, T., Breyer, C., Case, C., De Wolf, S., Deline, C., Dharmrin, M., Dimmler, B., Gloeckler, M., Goldschmidt, J. C., Hallam, B., Haussener, S., Holder, B., Jaeger, U., Jaeger-Waldau, A. ... W. Bett, A. (2023). Photovoltaics at multi-terawatt scale: Waiting is not an option: 25% annual PV growth is possible over the next decade. Science, 380(6640), 39-42. https://doi.org/10.1126/science.adf6957

Haase, L. M., Mugge, R., Jaeger-Erben, M., Nhu Laursen, L., Niinimäki , K., Richter, J., Sprecher, B. & Watkins, M. (2026). Editorial: Product lifetimes and the environment: Retaining product value in a circular economy. Resources, Conservation & Recycling, 225(108617), Artikel 108617. https://doi.org/10.1016/j.resconrec.2025.108617

Gøtske, E. K. & Victoria, M. (2021). Future operation of hydropower in Europe under high renewable penetration and climate change. iScience, 24(9), Artikel 102999. https://doi.org/10.1016/j.isci.2021.102999

Gøtske, E. K., Bruun Andresen, G. & Victoria, M. (2023). Cost and Efficiency Requirements for Successful Electricity Storage in a Highly Renewable European Energy System. PRX Energy, 2, Artikel 023006. https://doi.org/10.1103/PRXEnergy.2.023006

Gøtske, E. K., Andresen, G. B., Neumann, F. & Victoria, M. (2024). Designing a sector-coupled European energy system robust to 60 years of historical weather data. Nature Communications, 15(1), Artikel 10680. https://doi.org/10.1038/s41467-024-54853-3

Gøtske, E. K. (2024). Energy storage and climate impacts on the future renewable European energy system. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

Gøtske, E. K., Pratama, Y., Andresen, G. B., Gidden, M. J., Victoria, M. & Zakeri, B. (2025). First steps towards bridging integrated assessment modeling and high-resolution energy system models: a scenario matrix for a low-emissions sector-coupled European energy system. Environmental Research Communications, 7(8), Artikel 085010. https://doi.org/10.1088/2515-7620/adf60d

Glisic, M., Veluri, B. & Ramanujan, D. (2021). A Reusable Unit Process Life Cycle Inventory Model for Infeed Centerless Grinding. I 26th Design for Manufacturing and the Life Cycle Conference (DFMLC): 26th Design for Manufacturing and the Life Cycle Conference (DFMLC) (Bind 5). Artikel DETC2021-69609, V005T05A025 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2021-69609

Glisic, M., Sarfraz, S., Veluri, B. & Ramanujan, D. (2022). A Systematic Framework for Quantifying Production System-Specific Challenges in Life Cycle Inventory Data Collection. Procedia CIRP, 105, 210-218. https://doi.org/10.1016/j.procir.2022.02.035

Glisic, M., Veluri, B. & Ramanujan, D. (2024). A Bottom-Up Methodology for Identifying Key Performance Indicators for Sustainability Monitoring of Unit Manufacturing Processes. Sustainability, 16(2), Artikel 806. https://doi.org/10.3390/su16020806

Glisic, M., Møller, C., Veluri, B. & Ramanujan, D. (2024). Digital Process Passport: A Conceptual Model for Information Collection and Sharing In Sustainable Manufacturing. Procedia CIRP, 130(27), 1077-1083. https://doi.org/10.1016/j.procir.2024.10.209

Glisic, M. (2023). Guiding production planning to improve manufacturing process inventory data collection and modelling. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Giauque, A., Giguet, C., Vadrot, A. & Corre, C. (2024). A priori test of Large-Eddy Simulation models for the Sub-Grid Scale turbulent stress tensor in perfect and transcritical compressible real gas Homogeneous Isotropic Turbulence. Computers and Fluids, 268, Artikel 106091. https://doi.org/10.1016/j.compfluid.2023.106091

Ghasemi, A., Sadough Vanini, S. A., Alizadeh Zolbin, M. & Aghababaei, R. (2024). Exploring the influence of ultrasonic peening treatment at ambient and cryogenic conditions on the surface characteristics and fatigue life of austenitic stainless steel 304L. Surface and Coatings Technology, 494(Part 1 ), Artikel 131382. https://doi.org/10.1016/j.surfcoat.2024.131382

Geckeler, C., Kirchgeorg, S., Strunk, G., Thostrup, F. B., Sangermano, F., Desiderato, A., Lüthi, M., Jucker, M., Gonzalez Herrera, M. A., Franco-Sierra, N. D., Pulido-Santacruz, P., Marc Chang, J. J., Aden Ip, Y. C., Mächler, E., Svenning, A., Mougeot, G., Høye, T. T., Fopp, F., Pellissier, L. ... Mintchev, S. (2025). Field Deployment of BiodivX Drones in the Amazon Rainforest for Biodiversity Monitoring. IEEE Transactions on Field Robotics, 2, 336-352. https://doi.org/10.1109/TFR.2025.3574945

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