Aarhus Universitets segl

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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Pedersen, S. S., B. Madsen, N., Escalona, J. & Balling, O. (2021). Multibody Models for Tower Vibrations With an Unbalanced Rotor. I 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC) (Bind 9). Artikel V009T09A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2021-72182
Zhang, Z., Zhang, L., Jasa, J., Negahban, M. & Gazonas, G. (2022). Molecular sources of ratcheting in poly-dispersed polycarbonate. International Journal of Fatigue, 154, Artikel 106567. https://doi.org/10.1016/j.ijfatigue.2021.106567
Schäfer, K., Stroh, A., Forooghi, P. & Frohnapfel, B. (2022). Modelling spanwise heterogeneous roughness through a parametric forcing approach. Journal of Fluid Mechanics, 930, Artikel A7. https://doi.org/10.1017/jfm.2021.850
Ninno, F., Chiastra, C., Colombo, M., Dardik, A., Strosberg, D., Aboian, E., Tsui, J., Bartlett, M., Balabani, S. & Díaz-Zuccarini, V. (2024). Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction. Computer Methods and Programs in Biomedicine, 251, Artikel 108214. https://doi.org/10.1016/j.cmpb.2024.108214
Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T. & Larsen, P. G. (2024). Modelling for Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 89-127). Springer. https://doi.org/10.1007/978-3-031-66719-0_5
Alamia, A. & Bruun Andresen, G. (2024). Modelling Alternatives for integrted PtX infrastrcture between Denmark and EU. Poster-session præsenteret på 12th European Open Energy Modelling Workshop, Grenoble, Frankrig.
Lucantonio, A., Nardinocchi, P., Pezzulla, M., Pugliese, V. & Teresi, L. (2013). Modeling Tools for Soft Robotics. Poster-session præsenteret på Soft Robotic Conference, Ascona, Schweiz.
Pastewka, L., Vakis, A. I., Eder, S. J., Aghababaei, R., Almqvist, A., Carbone, G., Chandross, M., Dini, D., Ehrich, H. J., Ewen, J. P., Menga, N., Molinari, J. F., Moras, G., Nicola, L., Paggi, M., Putignano, C., Scaraggi, M., Yastrebov, V. A. & Müser, M. H. (2026). Modeling in tribology: Recent advances, applications, and open questions. Tribology International, 218, Artikel 111326. https://doi.org/10.1016/j.triboint.2025.111326
Šeta, B., Sandberg, M., Brander, M., Tusher Mollah, M., Pokkalla, D., Kumar, V. & Spangenberg, J. (2023). Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing. Composites Part B: Engineering, 266, Artikel 110957. https://doi.org/10.1016/j.compositesb.2023.110957
Pedersen, T. T., Victoria, M., Rasmussen, M. G. & Bruun Andresen, G. (2021). Modeling all alternative solutions for highly renewable energy systems. Abstract fra International Energy Workshop (IEW) 2021, Tyskland.
Cleve, J., Greiner, M., Enevoldsen, P., Birkemose, B. & Jensen, L. (2009). Model-based analysis of wake-flow data in the Nysted offshore wind farm. Wind Energy, 12(2), 125-135. https://doi.org/10.1002/we.314
Filsoof, O. T. (2021). Modal Dynamics and Design Analysis of Multi‐Rotor Wind Turbines. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Wang, H. & Zhang, X. (2021). Modal Dynamic Modelling and Experimental Validation of a Curved Extensible Continuum Manipulator. 1958-1965. Afhandling præsenteret på 2021 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/ICRA48506.2021.9561914
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
Luo, X., Andriollo, T., Baxevanakis, K. P. & Silberschmidt, V. V. (2025). Microstructural effect on fracture evolution in spheroidal graphite iron: Numerical analysis. Engineering Failure Analysis, 174, Artikel 109459. https://doi.org/10.1016/j.engfailanal.2025.109459
Dias, M. A., Athanasiadis, A., Fernando, D. N. & Budzik, M. K. (2023). Micromechanics of architected interfaces. 73. Abstract fra International Conference on Adhesive Bonding 2023, Porto, Portugal.
Bazmohammadi, N., Madary, A., Quintero, J. C. V., Bazmohammadi, H., Khan, B., Wu, Y. & Guerrero, J. M. (2022). Microgrid Digital Twins: Concepts, Applications, and Future Trends. IEEE Access, 10, 2284-2302. https://doi.org/10.1109/ACCESS.2021.3138990
Tabassian, R., Rajabi-Abhari, A., Mahato, M., Yoo, H., Yoon, H. Y., Park, J. Y. & Oh, I. K. (2024). Metal-organic framework-based nanofibrous film for two different modes of triboelectric nanogenerators. SmartMat, 5(5), Artikel e1270. https://doi.org/10.1002/smm2.1270
Alameen, E. H. O., Lucantonio, A. & DeSimone, A. (2023). Mechanics and transient morphing of soft hygroscopic bilayers. Mechanics Research Communications, 131, Artikel 104131. https://doi.org/10.1016/j.mechrescom.2023.104131
Budzik, M. K., Fulco , S. & Turner, K. (2022). Materials with architected plasticity and decoupled strength and toughness. Abstract fra The 11th European Solid Mechanics , Galway, Irland.
Boettjer, T., Krogshave, J. T. & Ramanujan, D. (2021). Machine-specific estimation of milling energy consumption in detailed design. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 143(8), Artikel 081010. https://doi.org/10.1115/1.4050179
Thoft Krogshave, J., Böttjer, T. & Ramanujan, D. (2020). Machine-Specific Energy Estimation Using the Unit Process Life Cycle Inventory (UPLCI) Model. I ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC) Artikel V006T06A031 American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2020-22483
Shojaeifard, M., Ferraresso, M., Lucantonio, A. & Bacca, M. (2025). Machine learning-based optimal design of fibrillar adhesives. Journal of the Royal Society Interface, 22(223), Artikel 20240636. https://doi.org/10.1098/rsif.2024.0636
Bodden, J., Dieckmeyer, M., Sollmann , N., Rühling, S., Prucker, P., T. Löffler, M., Burian, E., Karupppasamy, S., Zimmer, C., Kirschke , J. S. & Baum, T. (2023). Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation framework. Quantitative Imaging in Medicine and Surgery (QIMS), 13(9), 5472-5482. https://doi.org/10.21037/qims-23-19
Ulriksen, M. D. & Bernal, D. (2024). Localization of earthquake-induced structural damage using output feedback eigenstructure assignment. I 18th World Conference on Earthquake Engineering (WCEE2024) (Bind 2024)
Zhou, Z., Li, L., Fürsterling, A., Durocher, H., Mouridsen, J. & Zhang, X. (2022). Learning-based object detection and localization for a mobile robot manipulator in SME production. Robotics and Computer-Integrated Manufacturing, 73, Artikel 102229. https://doi.org/10.1016/j.rcim.2021.102229
Vernica, T., Aher, G. R., Veluri, B. & Ramanujan, D. (2023). LCAD: A Framework for Coupling Computer-Aided Design and Life Cycle Analysis Visualizations. 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 DETC2023-116573, V005T05A007; American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2023-116573
He, L., Zhang, M., Wang, P., Li, J., Wang, H., Wang, Y., Ye, X., Yan, X., Zhou, S., Liu, S., Zhao, P. & Zhou, X. (2026). Laser melting deposition of dual-phase tungsten-based refractory high-entropy alloys: Face-centered cubic-driven strength and ductility synergy revealed by first-principles calculations. Journal of Materials Science and Technology, 265, 100-111. https://doi.org/10.1016/j.jmst.2025.12.033
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