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Department of Mechanical and Production Engineering

Publications

Below you can find a complete list of the publications that are written by employees at the Publications at Department of Mechanical and Production Engineering for example journal articles, books, reports etc.

Publication list

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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. Article 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, Article 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 from 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), Article 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. In S. Hernández & A. Coruña (Eds.), Advances in Fluid Dynamics with emphasis on Multiphase and Complex Flow (pp. 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), Article 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 from The 11th European Solid Mechanics , Galway, Ireland. 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), Article 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, Article 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. In Procedia Structural Integrity (Vol. 31, pp. 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, Article 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, Article 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, Article 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), Article 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, Article 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. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (pp. 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. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 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, Article 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, Article 113194. https://doi.org/10.1016/j.ijsolstr.2024.113194

Teixeira de Freitas, S. & Budzik, M. K. (2023). Bondline thickness: Fracture mechanics perspective. In D. A. Dillard (Ed.), Advances in Structural Adhesive Bonding, Second Edition (2 ed., pp. 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 from 33rd European Biomass Conference & Exhibition , Valencia, Spain.

Cui, H., Zhang, L. & Shi, Y. (2024). Biomaterials-mediated ligation of immune cell surface receptors for immunoengineering. Immuno-Oncology and Technology, 21, Article 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, Article 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, Article 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, Article 111498. https://doi.org/10.1016/j.ymssp.2024.111498

Balling, O., Jeppesen, M. R. & Madsen, S. A. (2021). Autonomous vehicle assessment framework. In 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, Article 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), Article 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, Article 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, Article 16-00124 .

Wang, H., Zhou, Z., Yang, X. & Zhang, X. (2022). A Switchable Rigid-Continuum Robot Arm: Design and Testing. In 2022 IEEE International Conference on Robotics and Automation, ICRA 2022 (pp. 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, Article 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, Article 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), Article 371. https://doi.org/10.3390/machines13050371

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