Publications

Below you can find a complete list of the publications that are written by employees at the Publications at Department of Mechanical and Production Engineering for example journal articles, books, reports etc.

Publication list

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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. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 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, Article A28. https://doi.org/10.1017/jfm.2024.1095

Islam, R. & Borah, J. P. (2023). 3d transition metal substituted Fe3Se4: prediction of potential permanent magnet. Journal of Physics: Condensed Matter, 35(32), Article 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), Article 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, Article 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. Article 120828. https://doi.org/10.1016/j.actamat.2025.120828

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. In ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Vol. 9). Article 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), Article 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, Article 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. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

Hu, P., Dias, M. A. & Budzik, M. K. (2024). Geometric tunability of interlaminar resistance. Composites Part B: Engineering, 287, Article 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, Article 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, Article 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

Helal, I. B. I., Du, Y., Wang, H. & Zhang, X. (2024). Dynamic Modelling of a Continuum Robot Arm with Five 3-DoF Segments. In X. Rui & C. Liu (Eds.), Proceedings of the 2nd International Conference on Mechanical Systems (pp. 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. In 44th Computers and Information in Engineering Conference (CIE): 44th Computers and Information in Engineering Conference (CIE) (Vol. 2A). Article 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, Article 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, Article 109204. https://doi.org/10.1016/j.compscitech.2021.109204

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), Article 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. In Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Article 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), Article 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, Article 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), Article 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), Article 55. https://doi.org/10.3390/drones8020055

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

Gøtske, E. K. & Victoria, M. (2021). Future operation of hydropower in Europe under high renewable penetration and climate change. iScience, 24(9), Article 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, Article 023006. https://doi.org/10.1103/PRXEnergy.2.023006

Gøtske, E. K. (2024). Energy storage and climate impacts on the future renewable European energy system. Aarhus University.

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), Article 10680. https://doi.org/10.1038/s41467-024-54853-3

Glisic, M., Veluri, B. & Ramanujan, D. (2021). A Reusable Unit Process Life Cycle Inventory Model for Infeed Centerless Grinding. In 26th Design for Manufacturing and the Life Cycle Conference (DFMLC): 26th Design for Manufacturing and the Life Cycle Conference (DFMLC) (Vol. 5). Article 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. (2023). Guiding production planning to improve manufacturing process inventory data collection and modelling. Århus Universitet.

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), Article 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

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, Article 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 ), Article 131382. https://doi.org/10.1016/j.surfcoat.2024.131382

Gautam, K. R., Bruun Andresen, G. & Victoria, M. (2022). Review and Techno-Economic Analysis of Emerging Thermo-Mechanical Energy Storage Technologies. Energies, 15(17), Article 6328. https://doi.org/10.3390/en15176328

Garg, H., Ledda, P. G., Skov Pedersen, J. & Pezzulla, M. (2024). Passive Viscous Flow Selection via Fluid-Induced Buckling. Physical Review Letters, 133(8), Article 084001. https://doi.org/10.1103/PhysRevLett.133.084001

Gao, X., Zhang, Y., Haahr-Lillevang, L., Vedel-Smith, N. K. & Andriollo, T. (2023). 3D strain pattern in additively manufactured AlSi10Mg from digital volume correlation. Heliyon, 9(12), Article e23186. https://doi.org/10.1016/j.heliyon.2023.e23186

Gad Kjeld, J., Avendaño-Valencia, L. D., Brandt, A., Christensen, S. S. & Karottki Falk Andersen, J. (2023). Towards minimal empirical uncertainty bounds of damping estimates of an offshore wind turbine in idling conditions. Mechanical Systems and Signal Processing, 191, Article 110180. https://doi.org/10.1016/j.ymssp.2023.110180

Fulco , S., Budzik, M. K. & Turner, K. (2022). Exploiting architected plasticity to enhance fracture toughness while maintaining strength. Abstract from 19th U.S. National Congress of Theoretical and Applied

Mechanics, Austin, Texas, United States. https://drive.google.com/file/d/1uyFLy4Pk62paHMze4hVJSe7VnknWq1hT/view

Fulco , S., Budzik, M. K., D. Bain , E. & T. Turner , K. (2022). Decoupling toughness and strength through architected plasticity. Extreme Mechanics Letters, 57, Article 101912. https://doi.org/10.1016/j.eml.2022.101912

Fulco , S., Budzik, M. K. & T. Turner , K. T. (2024). Enhancing toughness through geometric control of the process zone. Journal of the Mechanics and Physics of Solids, 184, Article 105548. https://doi.org/10.1016/j.jmps.2024.105548

Fulco, S., Budzik, M. K., Xiao, H., Durian, D. J. & Turner, K. T. (2025). Disorder enhances the fracture toughness of 2D mechanical metamaterials. PNAS Nexus, 4(2), Article pgaf023. https://doi.org/10.1093/pnasnexus/pgaf023

Friis, S. J., Strøm Hansen, T., Olesen, C. G., Poulsen, M., Gregersen, H. & Nygaard, J. V. (2025). Experimental and numerical study of solid needle insertions into human stomach tissue. Journal of the Mechanical Behavior of Biomedical Materials, 162, Article 106832. https://doi.org/10.1016/j.jmbbm.2024.106832

Frandsen, L. N., Kristensen, C. K., Haahr-Lillevang, L., Klingaa, C. G., Mohanty, S. & Pedersen, M. M. (2023). A method for developing predictive models of quality metrics and gas flow variables for 316L PBF-LB/M printed components based on image analysis. In C. Nisbet, D. Phillips & O. Riemer (Eds.), European Society for Precision Engineering and Nanotechnology, Conference Proceedings: Copenhagen 2023 (pp. 115-118). Euspen.

Formentini, G. & Ramanujan, D. (2023). Design for circular disassembly: Evaluating the impacts of product end-of-life status on circularity through the parent-action-child model. Journal of Cleaner Production, 405, Article 137009. https://doi.org/10.1016/j.jclepro.2023.137009

Formentini, G. & Ramanujan, D. (2023). Accounting For Product End-of-Life Status in Disassembly Time Estimation Using Modified Maynard Operation Sequences. Procedia CIRP, 116, 305-311. https://doi.org/10.1016/j.procir.2023.02.052

Formentini, G. & Ramanujan, D. (2023). EXAMINING THE ROLE AND FUTURE POTENTIAL OF DESIGN FOR DISASSEMBLY METHODS TO SUPPORT CIRCULAR PRODUCT DESIGN. Proceedings of the Design Society , 3, 1735 - 1744. https://doi.org/10.1017/pds.2023.174

Formentini, G., Martiny, T. A., Møller, C., Vernica, T. & Ramanujan, D. (2024). Assessing the disassembly performance of washing machines through the design for circular disassembly methodology. Proceedings of the Design Society , 4, 1249-1258. https://doi.org/10.1017/pds.2024.127

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