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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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

Formentini, G., Prioli, J. PJ., Ko, J., Hapuwatte, B., Ferrero, V., Badurdeen, F., Rickli, J. L. & Ramanujan, D. (2025). A review of disassembly systems for circular product design. Journal of Cleaner Production, 506, Article 145459. https://doi.org/10.1016/j.jclepro.2025.145459

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

Alzweighi, M., Tryding, J., Mansour, R., Borgqvist, E. & Kulachenko, A. (2023). Anisotropic damage behavior in fiber-based materials: Modeling and experimental validation. Journal of the Mechanics and Physics of Solids, 181, Article 105430. https://doi.org/10.1016/j.jmps.2023.105430

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

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

Fontana, A., Sorlini, M., Leone, D., Rossi, L., Dell’Ambrogio, S., Nika, J., Koppelaar, R., Pamidi, S., Ramanujan, D. & Formentini, G. (2024). An Integrated Life Cycle Sustainability Assessment Framework for Product Life Cycle-Oriented Decision-Making. In A. I. I. Stefanakis & I. E. Nikolaou (Eds.), Circular Economy and Sustainable Development: A Necessary Nexus for a Sustainable Future (pp. 289–317). Springer. https://doi.org/10.1007/978-3-031-66007-8_17

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). An extended k- ε model for wind-farm simulation. In 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements: Proceedings (pp. 373-378)

Zehtabiyan-Rezaie, N. & Abkar, M. (2024). An extended K-ɛ model for wake-flow simulation of wind farms. Renewable Energy, 222, Article 119904. https://doi.org/10.1016/j.renene.2023.119904

Sanz-Cuadrado, C., Rahdan, P., Zhang, Z., Victoria, M. & Belén Cristóbal, A. (2024). A New Approach to Assess Individual Contributions to Energy Transition Goals.

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

Z. Bernstein, W., Tensa, M., Praniewicz, M., Kwon, S. & Ramanujan, D. (2020). An automated workflow for integrating environmental sustainability assessment into parametric part design through standard reference models. Procedia CIRP, 90, 102-108. https://doi.org/10.1016/j.procir.2020.02.058

Nozarian, S., Abkar, M. & Forooghi, P. (2024). An analysis of drag reduction using spanwise forcing on rough walls. International Journal of Heat and Fluid Flow, 106, Article 109306. https://doi.org/10.1016/j.ijheatfluidflow.2024.109306

Chedevergne, F., Yang, J., Stroh, A. & Forooghi, P. (2025). Analysis of Separation in the Roughness Sublayer Using DNS Data and DANS/DEM Modelling of Roughness Effects. Flow, Turbulence and Combustion, 114(3), 713-735. Article 021202. https://doi.org/10.1007/s10494-024-00585-9

Abu-Ghaida, H. & Kamari, A. (2021). An alternative approach to material and EPD mapping in the development of BIM-based LCA and LCC tools. In Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (pp. 782-792). Article 78. http://itc.scix.net/paper/w78-2021-paper-078

Qian, F., Ding, H., Liu, T., Wu, Z., Zhang, X. & Iqbal, A. (2025). An adaptive active vibration control for flexible beam systems under unknown deterministic disturbances. Mechanical Systems and Signal Processing, 228, Article 112447. https://doi.org/10.1016/j.ymssp.2025.112447

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

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

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

Frandsen, L. N., Kristensen, C. K., Haahr-Lillevang, L., Klingaa, C. G., Mohanty, S. & Pedersen, M. M. (2023). A method for developing predictive models of quality metrics and gas flow variables for 316L PBF-LB/M printed components based on image analysis. In C. Nisbet, D. Phillips & O. Riemer (Eds.), European Society for Precision Engineering and Nanotechnology, Conference Proceedings: Copenhagen 2023 (pp. 115-118). Euspen.

Wu, Z. & Møller, C. (2024). A global SOP perspective: managing cannibalization effect at the early phase of product transition. In 23rd International Working Seminar on Production Economics Universität Innsbruck.

Sadik, S. & Yavari, A. (2025). A Generalised Coleman-Noll Procedure and the Balance Laws of Hyper-Anelasticity. https://doi.org/10.48550/arXiv.2403.14543

Shehab, E., Meiirbekov, A., Amantayeva, A., Suleimen, A., Tokbolat, S., Sarfraz, S. & Ali, M. H. (2021). A fuzzy logic-based cost modelling system for recycling carbon fibre reinforced composites. Polymers, 13(24), Article 4370. https://doi.org/10.3390/polym13244370

Farhadiyadkuri, F. & Zhang, X. (2025). A Five-Dimensional Three-Layer Digital Twin to Train a Reinforcement Learning Agent for Interaction Control of a Robotic Exoskeleton in Adolescent Idiopathic Scoliosis Rehabilitation. International Journal of Mechanical System Dynamics. Advance online publication. https://doi.org/10.1002/msd2.70020

Du, Y., Liu, Z. & Zhang, X. (2024). Advancing Locomotion Control of a Quadruped Robot: Harnessing Hybrid Control Algorithms and Digital Twin Technology. In 2024 10th International Conference on Automation, Robotics, and Applications, ICARA 2024 (pp. 144-149). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARA60736.2024.10553027

Migliorini, M., Doll, U., Lawson, N. J., Melnikov, S. M., Steinbock, J., Dues, M., Zachos, P. K., Röhle, I. & MacManus, D. G. (2025). Advancements on the use of Filtered Rayleigh Scattering (FRS) with Machine learning methods for flow distortion in Aero-Engine intakes. Experimental Thermal and Fluid Science, 160, 111325. Article 111325. https://doi.org/10.1016/j.expthermflusci.2024.111325

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

Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024). A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs. International Journal of Engineering Education, 40(4), 801-814.

Nazari, R., Aghababaei, R., Papangelo, A. & Ciavarella, M. (2025). Adhesion- and friction-induced suppression of buckling in thin spherical shells in contact with a rigid wall. International Journal of Engineering Science, 215, Article 104329. https://doi.org/10.1016/j.ijengsci.2025.104329

Hansen, J. G. & de Figueiredo, R. P. (2024). Active Object Detection and Tracking Using Gimbal Mechanisms for Autonomous Drone Applications. Drones, 8(2), Article 55. https://doi.org/10.3390/drones8020055

Li, L. (2025). Active 3D Vision for Robotic Manufacturing Enhancement.

Shehab, E., Meiirbekov, A., Amantayeva, A., Suleimen, A., Tokbolat, S. & Sarfraz, S. (2021). A cost modelling system for recycling carbon fiber-reinforced composites. Polymers, 13(23), Article 4208. https://doi.org/10.3390/polym13234208

Yang, J., Velandia, J., Bansmer, S., Stroh, A. & Forooghi, P. (2023). A comparison of hydrodynamic and thermal properties of artificially generated against realistic rough surfaces. International Journal of Heat and Fluid Flow, 99, Article 109093. https://doi.org/10.1016/j.ijheatfluidflow.2022.109093

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

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