Publikationer

Under publikationsliste 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.

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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

Yang, J., Velandia, J., Bansmer, S., Stroh, A. & Forooghi, P. (2023). A comparison of hydrodynamic and thermal properties of artificially generated against realistic rough surfaces. International Journal of Heat and Fluid Flow, 99, [109093]. https://doi.org/10.1016/j.ijheatfluidflow.2022.109093

Alessi, C., Falotico, E. & Lucantonio, A. (2023). Ablation Study of a Dynamic Model for a 3D-Printed Pneumatic Soft Robotic Arm. IEEE Access, 11, 37840-37853. https://doi.org/10.1109/ACCESS.2023.3266282

Yang, X., Zhou, Z., Sørensen, J. H., Christensen, C. B., Ünalan, M. & Zhang, X. (2023). Automation of SME production with a Cobot system powered by learning-based vision. Robotics and Computer-Integrated Manufacturing, 83, [102564]. https://doi.org/10.1016/j.rcim.2023.102564

Ulriksen, M. D., Jepsen, M. & Bernal, D. (2023). Closed-loop load vectors for structural damage localization. Mechanical Systems and Signal Processing, 196, [110321]. https://doi.org/10.1016/j.ymssp.2023.110321

Matsuura, K., Mukai, K. & Langthjem, M. A. (2023). Computational and Experimental Study on the Mechanism of Ring Tone. International Journal of Computational Methods and Experimental Measurements, 11(1), 9-16. https://doi.org/10.18280/ijcmem.110102

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. [236]. https://doi.org/10.1145/3567591

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, [023006]. https://journals.aps.org/prxenergy/pdf/10.1103/PRXEnergy.2.023006

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, 145(6), [FE-22-1510]. https://doi.org/10.1115/1.4057016

Farhadiyadkuri, F. (2023). Development of Robotic Brace for AIS Treatment: Interaction Dynamics and Control.

Ulriksen, M. D., Dahl, M. B. & Nielsen, M. E. (2023). Eigenvector assignment for damage localization with invariant eigenvalues. I 10th ECCOMAS Thematic Conference on Smart Structures and Materials.

D Ranasinghe Mudiyanse Ralahamillage, D. P. E., Veluri, B., Ramanujan, D. & Liu, G. (2023). Examining three decades of global dysprosium supply chain through a material flow analysis. I IRTC 2023: Raw materials for a sustainable future

Sandberg, M., Hattel, J. H. & Spangenberg, J. (2023). Flow‑Induced Fibre Compaction in Resin‑Injection Pultrusion. Transport in Porous Media, 147, 541-571. https://doi.org/10.1007/s11242-023-01911-x

Ali, A., Muqeet, H. A., Khan, T., Hussain, A., Waseem, M. & Niazi, K. A. K. (2023). IoT-Enabled Campus Prosumer Microgrid Energy Management, Architecture, Storage Technologies, and Simulation Tools: A Comprehensive Study. Energies, 16(4), [1863]. https://doi.org/10.3390/en16041863

Dvorak, A. J. & Victoria, M. (2023). Key Determinants of Solar Share in Solar- and Wind-Driven Grids. IEEE Journal of Photovoltaics, 13(3), 476-483. https://doi.org/10.1109/JPHOTOV.2023.3252174

Vadrot, A. F., I. A. Yang, X., Bae, H. J. & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5), [055122 ]. https://doi.org/10.1063/5.0147570

Mula, B. B., Escalona, J., Lambert, R., Ling, R. & Balling, O. (2023). On the definition and effect of optimum gear microgeometry modifications for the gearbox of an offshore 10-MW wind turbine. Wind Energy, 1-24. https://doi.org/10.1002/we.2825

Søgaard Kristensen, A., Kruse Sørensen, E., Madsen, C., Kristofersson, J. & Forooghi, P. (2023). Performance analysis of heat pumps with zeotropic mixtures at different load conditions. International Journal of Refrigeration, 145, 264-275. https://doi.org/10.1016/j.ijrefrig.2022.09.028

Ulriksen, M. D., Gres, S. & Bernal, D. (2023). Perturbation-invariant eigenvalue assignment for statistical damage localization. I EURODYN 2023

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

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1). https://doi.org/10.1103/PRXEnergy.2.013009

Movassagh-Alanagh, F., Abdollah-zadeh, A., Alizadeh Zolbin, M., Nemati, N. & Aghababaei, R. (2023). Plasma-enhanced chemical vapor deposition of TiB₂ and TiBN hard coatings using BBr₃. Tribology International, 179, [108137]. https://doi.org/10.1016/j.triboint.2022.108137

Bernal, D. & Ulriksen, M. D. (2023). Quadratic basis pursuit in model updating of underconstrained problems. I 12th International Conference on Structural Dynamics.

Ramanujan, D., Bernstein, W. Z., Diaz-Elsayed, N. & R. Haapala, K. (2023). The Role of Industry 4.0 Technologies in Manufacturing Sustainability Assessment. Journal of Manufacturing Science and Engineering, 145(1), [MANU-22-1276]. https://doi.org/10.1115/1.4055661

Langthjem, M. A., Imura, M. & Yamaguchi, K. (2023). The unbalanced rotating cylinder partially filled with fluid; multiple scales analysis of a forced Korteweg–de Vries–Burgers equation. Journal of Engineering Mathematics, 140, [1]. https://doi.org/https://link.springer.com/article/10.1007/s10665-023-10259-6, https://doi.org/10.1007/s10665-023-10259-6

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, [110180]. https://doi.org/10.1016/j.ymssp.2023.110180

Lu, H., Rui, X. & Zhang, X. (2023). Transfer matrix method for linear vibration analysis of flexible multibody systems. Journal of Sound and Vibration, 549, [117565]. https://doi.org/10.1016/j.jsv.2023.117565

Pedersen, T. T., Andersen, M. S., Victoria, M. & Bruun Andresen, G. (2023). Using Modeling All Alternatives to explore 55% decarbonization scenarios of the European electricity sector. iScience, 26(5). https://doi.org/10.1016/j.isci.2023.106677

Rincón, M. J., Reclari, M., I. A. Yang, X. & Abkar, M. (2023). Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling. International Journal of Heat and Fluid Flow, 100, [109112]. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

Lund, H., Zinck Thellufsen, J., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Sørensen, P. B., Bruun Andresen, G. & Victoria, M. (2022). 16 energiforskere fra fem universiteter: Lad os få mere fakta i atomkraftdebatten: Der er ikke behov for atomkraft for at sikre stabilitet i elforsyningen. Det vil kun gøre den dyrere og samtidig forsinke den grønne omstilling, skriver en række forskere i et svar til kernefysikere, som har efterlyst mere helstøbt og åben vurdering af atomkraft i Danmark. . Altinget. https://www.altinget.dk/forsyning/artikel/16-energiforskere-fra-fem-universiteter-lad-os-faa-mere-fakta-i-atomkraftdebatten

Mahato, M., Hwang, W. J., Tabassian, R., Oh, S., Nguyen, V. H., Nam, S., Kim, J. S., Yoo, H., Taseer, A. K., Lee, M. J., Zhang, H., Song, T. E. & Oh, I. K. (2022). A Dual-Responsive Magnetoactive and Electro–Ionic Soft Actuator Derived from a Nickel-Based Metal–Organic Framework. Advanced Materials, 34(35), [2203613]. https://doi.org/10.1002/adma.202203613

Wang, H., Zhou, Z., Yang, X. & Zhang, X. (2022). A Switchable Rigid-Continuum Robot Arm: Design and Testing. I 2022 International Conference on Robotics and Automation (ICRA) (s. 5162-5169). IEEE. https://doi.org/10.1109/ICRA46639.2022.9812074

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

Niknafs, S., Silani, M., Concli, F. & Aghababaei, R. (2022). A coarse-grained concurrent multiscale method for simulating brittle fracture. International Journal of Solids and Structures, 254-255, [111898]. https://doi.org/10.1016/j.ijsolstr.2022.111898

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, [e00331]. https://doi.org/10.1016/j.ohx.2022.e00331

Baungaard, M., Abkar, M., van der Laan, M. P. & Kelly, M. (2022). A numerical investigation of a wind turbine wake in non-neutral atmospheric conditions. Journal of Physics Conference Series, 2265, [022015]. https://doi.org/10.1088/1742-6596/2265/2/022015

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, [e13837]. https://doi.org/10.7717/peerj.13837

Malekan, M., Khosravi, A. & St-Pierre, L. (2022). An Abaqus plug-in to simulate fatigue crack growth. Engineering with Computers, 38(4), 2991-3005. https://doi.org/10.1007/s00366-021-01321-x

Szemeti, G. & Ramanujan, D. (2022). An Empirical Benchmark for Resource Use in Fused Deposition Modelling 3D Printing of Isovolumetric Mechanical Components. Procedia CIRP, 105, 183-191. https://doi.org/10.1016/j.procir.2022.02.030

Ma, P., Xia, R., Wang, X., Zhang, X., Królczyk, G., Gardoni, P. & Li, Z. (2022). An active control method for vibration reduction of a single-link flexible manipulator. Journal of Low Frequency Noise Vibration and Active Control, 41(4), 1497-1506. https://doi.org/10.1177/14613484221094982

Filsoof, O. T. & Zhang, X. (2022). An intuitive representation and analysis of multi-rotor wind turbine whirling modes. Wind Energy, 25(3), 553-572. https://doi.org/10.1002/we.2686

Zhang, B., Endelt, B., Lang, L., Zhao, Y., Yan, S. & Nielsen, K. B. (2022). An inverse strategy to determine constitutive parameters of tubular materials for hydroforming processes. Chinese Journal of Aeronautics, 35(6), 379-390. https://doi.org/10.1016/j.cja.2021.11.007

Pombo, D. V., Rincón, M. J., Bacher, P., Bindner, H. W., Spataru, S. V. & Sørensen, P. E. (2022). Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting. Sustainable Energy, Grids and Networks, 32, [100943]. https://doi.org/10.1016/j.segan.2022.100943

Teixeira de Freitas, S., Roos, L., Papadakis, L., Sena-Cruz, J. & Budzik, M. K. (2022, feb.). COST Action CA18120: Reliable roadmap for certification of bonded primary structures APPLICATION FOR COST GRANTS. EU. https://certbond.eu/wp-content/uploads/Certbond-Guidelines_COST-Grants_v20221114.pdf

Si, G., Chen, F. & Zhang, X. (2022). Comparison of the Dynamic Performance of Planar 3-DOF Parallel Manipulators. Machines, 10(4), [233]. https://doi.org/10.3390/machines10040233

van Innis, C. V. I., Budzik, M. K. & Pardoen, T. (2022). Composite joint toughening by multiscale architecturing through integrated manufacturing. Abstract fra The 11th European Solid Mechanics , Galway, Irland. file:///C:/Users/au564491/Downloads/vanInnis_esmc2022%20(1).pdf

Volk, M., Yuksel, O., Baran, I., Hattel, J. H., Spangenberg, J. & Sandberg, M. (2022). Cost-efficient, automated, and sustainable composite profile manufacture: A review of the state of the art, innovations, and future of pultrusion technologies. Composites Part B: Engineering, 246, [110135]. https://doi.org/10.1016/j.compositesb.2022.110135

Zhou, Z., Yang, X., Wang, H. & Zhang, X. (2022). Coupled dynamic modeling and experimental validation of a collaborative industrial mobile manipulator with human-robot interaction. Mechanism and Machine Theory, 176, [105025]. https://doi.org/10.1016/j.mechmachtheory.2022.105025

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 Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) [FEDSM2022-87630, V002T05A023] American Society of Mechanical Engineers (ASME). American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM Bind 2 https://doi.org/10.1115/FEDSM2022-87630

Eidi, A., Zehtabiyan-Rezaie, N., Chiassi, R., Yang, X. I. A. & Abkar, M. (2022). Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms. Physics of Fluids, 34(8), [085135]. https://doi.org/10.1063/5.0100076

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Revideret 06.09.2022

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