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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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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. Artikel 236. https://doi.org/10.1145/3567591

Li, W., Wu, S., Zhu, J., Zhang, L., Zheng, J., Wang, H., Qiu, Y., Xie, G. & Li, C. (2025). Constitutive modelling of time-dependent polymer matrix composites: Incorporating a visco-hyperelastic model into the micromechanical framework. Composite Structures, 366, Artikel 119220. https://doi.org/10.1016/j.compstruct.2025.119220

Budzik, M. K., Athanasiadis, A. & Dias, M. A. (2021). Confined mechanical metamaterials under fracture loading. Abstract fra 6TH INTERNATIONAL CONFERENCE ON ADHESIVE BONDING 2021, Porto, Portugal.

Yang, X. I. A., Zhang, W., Abkar, M. & Anderson, W. (2024). Computational fluid dynamics: Its carbon footprint and role in carbon reduction. Journal of Renewable and Sustainable Energy, 16(5), Artikel 055906. https://doi.org/10.1063/5.0217320

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

Matsuura, K., Mukai, K. & Langthjem, M. A. (2021). Computational and experimental study on ring tone. I S. Hernández & A. Coruña (red.), Advances in Fluid Dynamics with emphasis on Multiphase and Complex Flow (s. 141-151). WIT Press.

Ferguson, O. V., Skovsgaard, S. P. H., Jensen, H. M. & Mikkelsen, L. P. (2023). Compressive strength prediction of carbon fiber-reinforced pultruded profiles including realistic volumetric fiber orientations. European Journal of Mechanics A - Solids, 104( Supplement), Artikel 105011. https://doi.org/10.1016/j.euromechsol.2023.105011

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

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

Khanna, N., Patel, D., Raval, P., Airao, J., Badheka, V. & Rahman Rashid, R. A. (2024). Comparison of sustainable cooling/lubrication strategies for drilling of wire arc additively manufactured Inconel 625. Tribology International, 200, Artikel 110068. https://doi.org/10.1016/j.triboint.2024.110068

Bibbo, N., Arora, V. & Pedersen, M. M. (2021). Comparison of Findley and MWCM multiaxial fatigue methods using the notch stress method on welded joints. I Procedia Structural Integrity (Bind 31, s. 75-79). Elsevier. https://doi.org/10.1016/j.prostr.2021.03.012

Barettin, D., Madsen, S., Lassen, B. & Willatzen, M. (2011). Comparison of Atomistic and Continuum Quantum-Dot Elastic Models and Implications for Optoelectronic Properties. A I P Conference Proceedings Series, 1399, 445.

Vallerotto, G., Victoria, M., Jost, N., Askins, S., Dominguez, C., Herrero, R. & Anton, I. (2021). Comparison of achromatic doublet on glass Fresnel lenses for concentrator photovoltaics. Optics Express, 29(13), 20601-20616. https://doi.org/10.1364/OE.428160

Niazi, K. A. K. & Victoria, M. (2023). Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe. Progress in Photovoltaics, 31(11), 1101-1113. https://doi.org/10.1002/pip.3727

Carlson, D. F., Akbulut, S., Rasmussen, J. F., Hestbech, C. S., Andersen, M. H. & Melvad, C. (2023). Compact and modular autonomous surface vehicle for water research: The Naval Operating Research Drone Assessing Climate Change (NORDACC). HardwareX, 15, Artikel e00453. https://doi.org/10.1016/j.ohx.2023.e00453

Yang, X., Zhou, Z., Li, L. & Zhang, X. (2023). Collaborative robot dynamics with physical human–robot interaction and parameter identification with PINN. Mechanism and Machine Theory, 189, Artikel 105439. https://doi.org/10.1016/j.mechmachtheory.2023.105439

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

Calafà, M. (2024). Characterization of the angular coefficient method on 2D and 3D piecewise smooth boundaries. Computational and Applied Mathematics, 43(8), Artikel 450. https://doi.org/10.1007/s40314-024-02969-z

Zhang, B., Endelt, B. & Nielsen, K. B. (2023). Characterization of mechanical properties for tubular materials based on hydraulic bulge test under axial feeding force. Fundamental Research, 3(4), 592-601. https://doi.org/10.1016/j.fmre.2022.01.024

Yang, J., Stroh, A., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2025). Characterization of hydrodynamic and thermal properties of anisotropic irregular roughness. International Journal of Heat and Fluid Flow, 116, Artikel 109888. https://doi.org/10.1016/j.ijheatfluidflow.2025.109888

Rincón, M. J., Reclari, M., Yang, X. & Abkar, M. (2023). CFD-aided morphing and design optimisation of ultrasonic flow meters. I The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (s. 109-114) https://www.ercoftac.org/etmm/program/conference-program/

Bae, J., Won, J., Kim, T., Choi, S., Kim, H., Oh, S. H. V., Lee, G., Lee, E., Jeon, S., Kim, M., Do, H. W., Seo, D., Kim, S., Cho, Y., Kang, H., Kim, B., Choi, H., Han, J., Kim, T. ... Shim, W. (2024). Cation-eutaxy-enabled III–V-derived van der Waals crystals as memristive semiconductors. Nature Materials, 23(10), 1402-1410. https://doi.org/10.1038/s41563-024-01986-x

Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Athanasiadis, A., Dias, M. & Budzik, M. K. (2021). Can confined mechanical metamaterials replace adhesives? Extreme Mechanics Letters, 48, Artikel 101411. https://doi.org/10.1016/j.eml.2021.101411

van Innis, C., Budzik, M. K. & Pardoen, T. (2025). Bridging in co-cured composite joints. International Journal of Solids and Structures, 309, Artikel 113194. https://doi.org/10.1016/j.ijsolstr.2024.113194

Teixeira de Freitas, S. & Budzik, M. K. (2023). Bondline thickness: Fracture mechanics perspective. I D. A. Dillard (red.), Advances in Structural Adhesive Bonding, Second Edition (2 udg., s. 615-641). Woodhead Publishing. https://doi.org/10.1016/B978-0-323-91214-3.00027-2

Ambrose, H. W., Engelbrecht, N., Alamia, A. & Kofoed, M. V. W. (2025). Biomethanation With Renewable Energy: Harnessing the Carbon-Water-Energy Nexus. Abstract fra 33rd European Biomass Conference & Exhibition , Valencia, Spanien.

Cui, H., Zhang, L. & Shi, Y. (2024). Biomaterials-mediated ligation of immune cell surface receptors for immunoengineering. Immuno-Oncology and Technology, 21, Artikel 100695. https://doi.org/10.1016/j.iotech.2023.100695

Anand, M., Panigrahi, S., Kofoed, M. V. W., Aghababaei, R. & Agarwala, S. (2024). Bioinspired poly(vinyl alcohol) films with tunable adhesion and self-healing for biodegradable electronics and beyond. Sustainable Materials and Technologies, 41, Artikel e01084. https://doi.org/10.1016/j.susmat.2024.e01084

Darabi, R., Oliveira, J. P., Nemati, N., Reis, A. & de Sá, J. C. (2025). Benchmarking advanced multiphase field modeling of Inconel 625 in additive manufacturing: Correlating powder bed fusion with dendrite growth and crack formation. Materialia, 40, Artikel 102384. https://doi.org/10.1016/j.mtla.2025.102384

Airao, J., Gupta, A., Nirala, C. K. & Hsue, A. W. J. (2024). Bayesian neural networks modeling for tool wear prediction in milling Al 6061 T6 under MQL conditions. International Journal of Advanced Manufacturing Technology, 135(5-6), 2777-2788. https://doi.org/10.1007/s00170-024-14678-2

Bernal, D. & Ulriksen, M. D. (2024). Basis pursuit set selection for nonlinear underconstrained problems: An application to damage characterization. Mechanical Systems and Signal Processing, 216, Artikel 111498. https://doi.org/10.1016/j.ymssp.2024.111498

Balling, O., Jeppesen, M. R. & Madsen, S. A. (2021). Autonomous vehicle assessment framework. I Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS)

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, Artikel 102564. https://doi.org/10.1016/j.rcim.2023.102564

Li, L., Yang, X., Wang, R. & Zhang, X. (2024). Automatic Robot Hand-Eye Calibration Enabled by Learning-Based 3D Vision. Journal of Intelligent and Robotic Systems: Theory and Applications, 110(3), Artikel 130. https://doi.org/10.1007/s10846-024-02166-4

Ärje, J., Melvad, C., Jeppesen, M. R., Madsen, S. A., Raitoharju, J., Rasmussen, M. S., Iosifidis, A., Tirronen, V., Gabbouj, M., Meissner, K. & Høye, T. T. (2020). Automatic image-based identification and biomass estimation of invertebrates. Methods in Ecology and Evolution, 11(8), 922-931. https://doi.org/10.1111/2041-210X.13428

Li, L., Wang, R. & Zhang, X. (2021). A Tutorial Review on Point Cloud Registrations: Principle, Classification, Comparison, and Technology Challenges. Mathematical Problems in Engineering, 2021, Artikel 9953910. https://doi.org/10.1155/2021/9953910

Ma, L. (2024). Atomic insights into the abrasive wear mechanisms of mono- and multi-layer coatings at the single asperity level. Aarhus University.

Langthjem, M. A. & Nakano, M. (2010). A three-dimensional study of the hole-tone feedback problem. RIMS Kokyuroku, 1697.

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

Langthjem, M. A. & Nakano, M. (2016). Asymptotic and numerical analysis of resonance and lock-in by flow-acoustic interaction in an expansion chamber-pipe system. Journal of Fluid Science and Technology, 11, Artikel 16-00124 .

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

Nishiwaki, M., Sorimachi, K. & Langthjem, M. A. (2013). A Study on Brake Noise of Low-Frequency Disk Brake Squeal and Moan Noise. Transactions of Society of Automotive Engineers of Japan , 44(3), 857-863.

Jensen, R. M. & Forooghi, P. (2025). A study of turbulent flow over patchy roughness. Journal of Fluid Mechanics, 1006, Artikel A28. https://doi.org/10.1017/jfm.2024.1095

Sandberg, M., Hattel, J. H. & Spangenberg, J. (2022). A streamline-integration technique for simulating build-up of process-induced stresses and shape distortions in thermoset pultrusion processes.

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2024). Assessment of Roughness Characterization Methods for Data-Driven Predictions. Flow, Turbulence and Combustion, 113(2), 275-292. https://doi.org/10.1007/s10494-024-00549-z

Colombo, M., Meng, Y., Poirier-Quinot, M., Rollet, A. L., Geeverding, A., Delcea, M., deMello, A. J. & Abou-Hassan, A. (2024). Assessing the Effect of Magnetite Nanoflowers on Platelets in a Multiscale Approach in the Context of Thromboembolic Diseases. ACS Applied Nano Materials, 7(17), 20085-20093. https://doi.org/10.1021/acsanm.4c02715

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

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

Durocher, H., Bachmann, C., Mozzillo, R., Janeschitz, G. & Zhang, X. (2025). A Spatial Five-Bar Linkage as a Tilting Joint of the Breeding Blanket Transporter for the Remote Maintenance of EU DEMO. Machines, 13(5), Artikel 371. https://doi.org/10.3390/machines13050371

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Institut for Mekanik og Produktion