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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Nemati, N., Manhard, A., Greuner, H., Hunger, K., Böswirth, B., Visca, E. & You, J. H. (2023). Microstructural evolution of tungsten under thermal loads: A comparative study between cyclic high heat flux loading and isochronous furnace heating. Nuclear Materials and Energy, 36, Artikel 101465. https://doi.org/10.1016/j.nme.2023.101465

Brandt, A. (2023). Noise and Vibration Analysis: Signal Analysis and Experimental Procedures. (2 udg.) Wiley. https://doi.org/10.1002/9781118962176

Farhadiyadkuri, F. & Zhang, X. (2023). Novel Interaction Control in Adolescent Idiopathic Scoliosis Treatment Using a Robotic Brace. Journal of Intelligent and Robotic Systems: Theory and Applications, 109(3), Artikel 73. https://doi.org/10.1007/s10846-023-02010-1

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, 26(7), 717-740. https://doi.org/10.1002/we.2825

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

Aher, G. R., Macedo, H. D., Larsen, P. G. & Ramanujan, D. (2023). Supporting Design for Circular Economy Using Lifecycle Co-Simulation. I ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Artikel DETC2023-116537, V005T05A006; American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2023-116537

Vadrot, A. F., Yang, X. I. A. & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), Artikel 064603. https://doi.org/10.1103/PhysRevFluids.8.064603

Neumann, F., Zeyen, E., Victoria, M. & Brown, T. (2023). The potential role of a hydrogen network in Europe. Joule, 7(8), 1793-1817. https://doi.org/10.1016/j.joule.2023.06.016

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), Artikel 010801. 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, Artikel 1. https://doi.org/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, Artikel 110180. https://doi.org/10.1016/j.ymssp.2023.110180

Aher, G. R., Boudjadar, J. & Ramanujan, D. (2023). Towards Simulation-Based Circular Product Design. Procedia CIRP, 116, 690-695. https://doi.org/10.1016/j.procir.2023.02.116

D Ranasinghe Mudiyanse Ralahamillage, D. P. E., Ramanujan, D., Veluri, B., Liu, Q. & Liu, G. (2023). Tracing the multiregional evolution of the global dysprosium demand-supply chain. Resources, Conservation & Recycling, 199, Artikel 107245. https://doi.org/10.1016/j.resconrec.2023.107245

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

van Innis, C. V. I., Budzik, M. K. & Pardoen, T. (2023). Ultra tough architected joints through single step bonding process with tunable properties. 205. Abstract fra International Conference on Adhesive Bonding 2023, Porto, Portugal.

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), Artikel 106677. 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, Artikel 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

Vernica, T., Glišić, M., Veluri, B. & Ramanujan, D. (2023). Volumetric mapping and visualization of life cycle assessment results on computer-aided design models. Journal of Cleaner Production, 418, Artikel 138035. https://doi.org/10.1016/j.jclepro.2023.138035

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

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

Sanz Cuadrado, C., Cristóbal, A. B., Zhang, Z., Rahdan, P. & Victoria, M. (2022). Achieving a New European Energy Awareness (AURORA): Deliverable 1.1 – Near-Zero Emissions Citizens Label. https://www.aurora-h2020.eu/wp-content/uploads/2022/09/D1.1-Near-Zero-Emission-Citizens-Label-PU.pdf

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, Artikel 111898. https://doi.org/10.1016/j.ijsolstr.2022.111898

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), Artikel 2203613. https://doi.org/10.1002/adma.202203613

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, Artikel e00331. https://doi.org/10.1016/j.ohx.2022.e00331

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

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

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

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

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(2), Artikel 022015. https://doi.org/10.1088/1742-6596/2265/2/022015

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, Artikel 100943. https://doi.org/10.1016/j.segan.2022.100943

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

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