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Institut for Mekanik og Produktion

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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Sugiyama, Y., Langthjem, M. A. & Katayama, K. (2021). Shape‐optimized Cantilevered Columns under a Rocket‐based Follower Force. I N. Challamel, J. Kaplunov & I. Takewaki (red.), Modern Trends in Structural and Solid Mechanics 1: Statics and Stability (s. 201-228). Wiley.

Sugiyama, Y., Langthjem, M. A., Iwama, T., Kobayashi, M., Katayama, K. & Yutani, H. (2012). Shape optimization of cantilevered columns subjected to a rocket-based follower force and its experimental verification. Structural and Multidisciplinary Optimization, 46, 829-838.

Paraskevoulakos, C., Ghosh, S., Andriollo, T. & Michel, A. (2024). Sensitivity Study Using Synthetic 3D Image Datasets to Investigate the Effect of Noise Artefacts on Digital Volume Correlation. Experimental Mechanics, 64(5), 595-624. https://doi.org/10.1007/s11340-024-01046-0

Migliorini, M., Zachos, P. K., Macmanus, D. G., Doll, U., Dues, M., Steinbock, J., Dues, F., Siswanto, A., Melnikov, S. M. & Röhle, I. (2024). Seeding-free inlet flow distortion measurements using filtered Rayleigh scattering: integration in a complex intake test facility. Afhandling præsenteret på AIAA SciTech Forum and Exposition, 2024, Orlando, USA. https://doi.org/10.2514/6.2024-2831

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Artikel 045142 . https://doi.org/10.1063/5.0203068

Amarloo, A., Forooghi, P. & Abkar, M. (2022). Secondary flows in statistically unstable turbulent boundary layers with spanwise heterogeneous roughness. Theoretical and Applied Mechanics Letters, 12(2), Artikel 100317. https://doi.org/10.1016/j.taml.2021.100317

Rincón, M. J. (2024). Robust Optimisation of Ultrasonic Flow Meters by Computational Fluid Dynamics and Enhanced Turbulence Modelling. Aarhus University.

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

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Artikel 100475. https://doi.org/10.1016/j.taml.2023.100475

Efeoǧlu, A. & Moller, C. (2023). Redesigning design thinking for codesign with nondesigners: a method efficiency perspective. Design Science, 9, Artikel e14. https://doi.org/10.1017/dsj.2023.11

Colombo, M., Bezinge, L., Tapia, A. R., Shih, C. J., De Mello, A. J. & Richards, D. A. (2023). Real-time, smartphone-based processing of lateral flow assays for early failure detection and rapid testing workflows. Sensors and Diagnostics, 2(1), 100-110. https://doi.org/10.1039/d2sd00197g

Majidi, S. S., Su, Y., Jørgensen, M. L., Müller, C., Forooghi, P., Nie, G. & Chen, M. (2021). Rayleigh Instability-Driven Coaxial Spinning of Knotted Cell-Laden Alginate Fibers as Artificial Lymph Vessels. ACS applied materials & interfaces, 13(19), 22142-22149. https://doi.org/10.1021/acsami.1c00798

Baungaard, M., van der Laan, M. P., Wallin, S. & Abkar, M. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics: Conference Series (Online), 2505, Artikel 012028. https://doi.org/10.1088/1742-6596/2505/1/012028

Zhang, Z., Chai, X., Si, G. & Zhang, X. (2024). Quantifying Variability in Zebrafish Larvae Locomotor Behavior across Experimental Conditions: A Learning-Based Tracker. Fishes, 9(6), Artikel 193. https://doi.org/10.3390/fishes9060193

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

Kim, T., Doll, U., Faldella, F. & Jansohn, P. (2023). QUANTIFICATION OF MIXING QUALITY EFFECTS ON FLASHBACK LIMITS FOR H2-RICH FUEL GASES. I Combustion, Fuels, and Emissions Artikel v03at04a033 American Society of Mechanical Engineers(ASME). https://doi.org/10.1115/gt2023-101551

Jensen, H. M. (2024). PROPAGATING INSTABILITIES IN SOLIDS. I ICTAM2024 (s. 48-51)

Langthjem, M. A. & Jensen, H. M. (2022). Propagating buckles in undersea pipelines – A model problem. International Journal of Solids and Structures, 257, Artikel 111555. https://doi.org/10.1016/j.ijsolstr.2022.111555

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Artikel 125154 . https://doi.org/10.1063/5.0174470

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Artikel 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Schwenk-Nebbe, L. J., Vind, J. E., Backhaus, A. J., Victoria, M. & Greiner, M. (2022). Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system. iScience, 25(6), Artikel 104380. https://doi.org/10.1016/j.isci.2022.104380

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2023). Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data-driven approach. Journal of Fluid Mechanics, 975, Artikel A34. https://doi.org/10.1017/jfm.2023.881

Alzweighi, M., Mansour, R., Maass, A., Hirn, U. & Kulachenko, A. (2023). Predicting moisture penetration dynamics in paper with machine learning approach. International Journal of Solids and Structures, 288, Artikel 112602. https://doi.org/10.1016/j.ijsolstr.2023.112602

Lee, S., Yang, J., Forooghi, P., Stroh, A. & Bagheri, S. (2022). Predicting drag on rough surfaces by transfer learning of empirical correlations. Journal of Fluid Mechanics, 933, Artikel A18. https://doi.org/10.1017/jfm.2021.1041

Alamia, A. & Bruun Andresen, G. (2023). Power-to-X integration in biogas plants: industrial symbiosis and cost-optimal production of hydrogen and e-methanol: won a best poster award. Poster session præsenteret på Retrospect: GreenLab Summit 2023, Skive, Danmark.

Won, J., Bae, J., Kim, H., Kim, T., Nemati, N., Choi, S., Jung, M. C., Kim, S., Choi, H., Kim, B., Jin, D., Kim, M., Han, M. J., Kim, J. Y. & Shim, W. (2023). Polytypic Two-Dimensional FeAs with High Anisotropy. Nano Letters, 23(23), 11057-11065. https://doi.org/10.1021/acs.nanolett.3c03324

Mahato, M., Garai, M., Nguyen, V. H., Oh, S., Nam, S., Zeng, X., Yoo, H., Tabassian, R. & Oh, I. K. (2023). Polysulfonated covalent organic framework as active electrode host for mobile cation guests in electrochemical soft actuator. Science Advances, 9(50), Artikel eadk9752. https://doi.org/10.1126/sciadv.adk9752

Darki, A. A., Madsen, S. P. & Dantan, A. R. (2022). Polarization-independent optical spatial differentiation with a doubly-resonant one-dimensional guided-mode grating. Optics Express, 30(3), 3962-3972. https://doi.org/10.1364/OE.450981

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, Artikel 108137. https://doi.org/10.1016/j.triboint.2022.108137

Yang, X., Du, Y., Li, L., Zhou, Z. & Zhang, X. (2023). Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints. IEEE Robotics and Automation Letters, 8(12), 8462-8469. https://doi.org/10.1109/LRA.2023.3329620

Calafà, M., Hovad, E., Engsig-Karup, A. P. & Andriollo, T. (2024). Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving 2D linear elasticity problems. Computer Methods in Applied Mechanics and Engineering, 432, Artikel 117406. https://doi.org/10.1016/j.cma.2024.117406

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), Artikel 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Foldager, F. (2021). Physics-based modeling and simulation of agricultural machine-soil interaction. Århus 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

Ulriksen, M. D., Greś, S. & Bernal, D. (2024). Perturbation-invariant eigenvalue assignment for statistical damage localization. Journal of Physics: Conference Series, 2647(19), Artikel 192017. https://doi.org/10.1088/1742-6596/2647/19/192017

Aliana, A., Chang, M., Østergaard, P. A., Victoria, M. & Andersen, A. N. (2022). Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. Renewable Energy, 190, 699-712. https://doi.org/10.1016/j.renene.2022.03.163

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

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

Blanco, B., Errandonea, I., Beltrán, S., Arrizabalaga, S. & Alvarado, U. (2022). Panhead accelerations-based methodology for monitoring the stagger in overhead contact line systems. Mechanism and Machine Theory, 171, Artikel 104742. https://doi.org/10.1016/j.mechmachtheory.2022.104742

Langthjem, M. A. & Sugiyama, Y. (1999). Optimum design of Beck's column with a constraint on the static buckling load. Structural and Multidisciplinary Optimization, 18(4), 228-235.

Traistaru, O. T. L., Shyam, P., Christensen, M. & Madsen, S. P. (2022). Optimizing the energy product of exchange-coupled soft/hard Zn_0.2Fe_2.8O₄/SrFe₁₂O₁₉magnets. Journal of Applied Physics, 132(16), Artikel 163904. https://doi.org/10.1063/5.0103242

Walmik Gajghate, P., Mirajkar, A. B., Shaikh, U., Bokde, N. & Mundher Yaseen, Z. (2021). Optimization of Layout and Pipe Sizes for Irrigation Pipe Distribution Network Using Steiner Point Concept. Mathematical Problems in Engineering, 2021, Artikel 6657459 . https://doi.org/10.1155/2021/6657459

Cremoncini, D., Frate, G. F., Bischi, A., Pedersen, T. T., Bruun Andresen, G., Bentien, A. & Ferrari, L. (2024). Optimal participation of a wind and hybrid battery storage system in the day-ahead and automatic frequency restoration reserve markets. Journal of Energy Storage, 94, Artikel 112309. https://doi.org/10.1016/j.est.2024.112309

Alimadadi, H., Fanta, A. B., Akiyoshi, R., Kasama, T., Rollett, A. D., Somers, M. AJ. & Pantleon, K. (2018). Optimal microstructural design for high thermal stability of pure FCC metals based on studying effect of twin boundaries character and network of grain boundaries. Materials Design, 151, 60-73.

Darki, A. A., Dantan, A., Nygaard, J. V., Madsen, S. P., Parthenopoulos, A., Toft-Vandborg, C. & Vandborg, C. (2022). Optical spatial differentiation with ultrathin freestanding subwavelength gratings. I P. Schelkens & T. Kozacki (red.), Optics, Photonics and Digital Technologies for Imaging Applications VII Artikel 121380D SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2621186

Ulriksen, M. D., Tcherniak, D., Kirkegaard, P. H. & Damkilde, L. (2016). Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades. Structural Health Monitoring, 15(4), 381-388. https://doi.org/10.1177/1475921715586623

Ma, L. & Aghababaei, R. (2023). On the Uniqueness of Wear Coefficient for Abrasive Wear at Nanoscale. Journal of Tribology, 145(6), Artikel 062101. https://doi.org/10.1115/1.4062099

Langthjem, M. A. (2022). On the stability of a doubly infinite vortex array. Theoretical and Computational Fluid Dynamics, 36(3), 369-385. https://doi.org/10.1007/s00162-022-00604-3

Zhu, J. & Aghababaei, R. (2023). On the size effect in scratch and wear response of single crystalline copper. Tribology International, 186, Artikel 108573. https://doi.org/10.1016/j.triboint.2023.108573

Moallemi, M., Zarei-Hanzaki, A., Kim, S.-J. & Alimadadi, H. (2019). On the microstructural-textural characterization and deformation analysis of a nano/ultrafine grained Fe-20Cr-8Mn-0.3 N duplex alloy with superior mechanical properties. Materials Characterization, 156, 109878.

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