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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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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

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

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

Madani, S., Falamaki, C., Alimadadi, H. & Aboutalebi, S. H. (2019). Binder-free reduced graphene oxide 3D structures based on ultra large graphene oxide sheets: High performance green micro-supercapacitor using NaCl electrolyte. Journal of Energy Storage, 21, 310-320.

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.

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.

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

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). A short note on turbulence characteristics in wind-turbine wakes. Journal of Wind Engineering and Industrial Aerodynamics, 240, Article 105504. https://doi.org/10.1016/j.jweia.2023.105504

Li, L. & Zhang, X. (2025). A robust assessment method of point cloud quality for enhancing 3D robotic scanning. Robotics and Computer-Integrated Manufacturing, 92, Article 102863. https://doi.org/10.1016/j.rcim.2024.102863

Sawant , M., Thakare, S., Rao, A. P., Feijóo Lorenzo, A. E. & Bokde, N. (2021). A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics. Energies, 14(8), Article 2041. https://doi.org/10.3390/en14082041

Böttjer, T., Tola, D., Kakavandi, F., Wewer, C. R., Ramanujan, D., Gomes, C., Larsen, P. G. & Iosifidis, A. (2023). A review of unit level digital twin applications in the manufacturing industry. CIRP Journal of Manufacturing Science and Technology, 45, 162-189. https://doi.org/10.1016/j.cirpj.2023.06.011

Glisic, M., Veluri, B. & Ramanujan, D. (2021). A Reusable Unit Process Life Cycle Inventory Model for Infeed Centerless Grinding. In 26th Design for Manufacturing and the Life Cycle Conference (DFMLC): 26th Design for Manufacturing and the Life Cycle Conference (DFMLC) (Vol. 5). Article DETC2021-69609, V005T05A025 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2021-69609

Pardoen, T., T. Turner , K. T. & Budzik, M. K. (2023). Architected adhesive joints with improved fracture toughness. In D. A. Dillard (Ed.), Advances in Structural Adhesive Bonding (2 ed., pp. 1105-1122). Woodhead Publishing. https://doi.org/10.1016/B978-0-323-91214-3.00012-0

Amarloo, A., Zehtabiyan-Rezaie, N. & Abkar, M. (2024). A progressive data-augmented RANS model for enhanced wind-farm simulations. Energy, 313, Article 133762. https://doi.org/10.1016/j.energy.2024.133762

Giauque, A., Giguet, C., Vadrot, A. & Corre, C. (2024). A priori test of Large-Eddy Simulation models for the Sub-Grid Scale turbulent stress tensor in perfect and transcritical compressible real gas Homogeneous Isotropic Turbulence. Computers and Fluids, 268, Article 106091. https://doi.org/10.1016/j.compfluid.2023.106091

E. S. Chen, P., Bin, Y., I. A. Yang, X., Shi, Y., Abkar, M. & I. Park, G. (2023). A priori screening of data-enabled turbulence models. Physical Review Fluids, 8(12), Article 124606. https://doi.org/10.1103/PhysRevFluids.8.124606

Sutton, M., Daniels, J., Masoudi, N., Gorsich, D. & Turner, C. (2024). Approaches for exploration, analysis, and visualization of tradespace for engineering decision-making. Proceedings of the Design Society , 4, 3023-3032. https://doi.org/10.1017/pds.2024.306

Langthjem, M. A. & Nakano, M. (2013). Application of the time-domain boundary element method to analysis of flow-acoustic interaction in a hole-tone system with a tail pipe. Computer Modeling in Engineering & Sciences, 96(4), 227-241.

Cleve, J., Schmiegel, J. & Greiner, M. (2008). Apparent scale correlations in a random multifractal process. European Physical Journal B. Condensed Matter and Complex Systems, 63(1), 109-116. https://doi.org/10.1140/epjb/e2008-00218-6

Hansen, C., I.A. Yang, X. & Abkar, M. (2023). A POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions. Journal of Fluid Mechanics, 975, Article A24. https://doi.org/10.1017/jfm.2023.857

Pergher, I., Brandolf, V. P., Pacheco, D. A. D. J. & Vaccaro, G. L. R. (2016). A patient-centric approach to improve health care services. Cogent Business and Management, 3(1), Article 1227232. https://doi.org/10.1080/23311975.2016.1227232

Langthjem, M. A. & Nakano, M. (2007). A numerical study on the influence of non-axisymmetric flow perturbations on the hole-tone feedback cycle. RIMS Kokyuroku, 1543, 21-30.

Langthjem, M. A. & Nakano, M. (2015). A numerical study of the hole-tone phenomenon subjected to non-axisymmetric shape perturbations of the jet nozzle. Theoretical and Computational Fluid Dynamics, 29, 110-117.

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

Zhao, L., Su, L., Cui, N., Zhang, Z. & Zhang, X. (2021). A Nonlinear Mechanic Model of a Zebrafish Embryo under Microinjection. In CCRIS'21 - 2021 2nd International Conference on Control, Robotics and Intelligent System (pp. 66-70). Association for Computing Machinery. https://doi.org/10.1145/3483845.3483895

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