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

Sort by: Date | Author | Title

Sibani, P., Rasmussen, S. & Hansen, P. L. (2022). Human wealth evolution is an accelerating expansion underpinned by a decelerating optimization process. Physica A: Statistical Mechanics and its Applications, 608, Article 128286. https://doi.org/10.1016/j.physa.2022.128286

Si, G., Sun, L., Zhang, Z. & Zhang, X. (2021). Design, Fabrication, and Testing of a Novel 3D 3-Fingered Electrothermal Microgripper with Multiple Degrees of Freedom. Micromachines, 12(4), Article 444. https://doi.org/10.3390/mi12040444

Si, G., Sun, L., Zhang, Z. & Zhang, X. (2021). Theoretical thermal-mechanical modelling and experimental validation of a three-dimensional (3D) electrothermal microgripper with three fingers. Micromachines, 12(12), Article 1512. https://doi.org/10.3390/mi12121512

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

Si, G., Ding, M., Zhang, Z. & Zhang, X. (2022). Theoretical thermal-mechanical modelling and experimental validation of a novel 3D three-fingered electrothermal microgripper. Precision Engineering, 77, 205-219. https://doi.org/10.1016/j.precisioneng.2022.05.013

Si, G., Zhou, F., Zhang, Z. & Zhang, X. (2022). Tracking Multiple Zebrafish Larvae Using YOLOv5 and DeepSORT. In 2022 8th International Conference on Automation, Robotics and Applications, ICARA 2022 (pp. 228-232). IEEE. https://doi.org/10.1109/ICARA55094.2022.9738556

Si, G., Zhao, Z., Zhang, Z. & Zhang, X. (2024). Design and Experimental Investigation of a Force Sensor for a 3-D Electrothermal Microgripper. IEEE Sensors Journal, 24(3), 2934-2944. https://doi.org/10.1109/JSEN.2023.3336214

Si, G., Zhang, H., Zhang, Z. & Zhang, X. (2024). Enabling intuitive and effective micromanipulation: A wearable exoskeleton-integrated macro-to-micro teleoperation system with a 3D electrothermal microgripper. Robotics and Autonomous Systems, 181, Article 104776. https://doi.org/10.1016/j.robot.2024.104776

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), Article 20240636. https://doi.org/10.1098/rsif.2024.0636

Shi, L., Wang, T. & Shapiro, A. (2026). Investigation of salt precipitation under CO₂-brine displacement in micromodels. Chemical Engineering Research and Design, 227, 279-296. https://doi.org/10.1016/j.cherd.2026.01.046

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

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

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, Article 110957. https://doi.org/10.1016/j.compositesb.2023.110957

Šeta, B., Sandberg, M., Brander, M., Mollah, M. T., Pokkalla, D. K., Kumar, V. & Spangenberg, J. (2024). Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing. Additive Manufacturing, 92, Article 104396. https://doi.org/10.1016/j.addma.2024.104396

Šeta, B., Brander, M., Sandberg, M., Mollah, M. T., Kumar, V. & Spangenberg, J. (2026). Subvoxel Control of Fiber Orientation via Multidirectional Shearing in 3D Printing. Advanced Science, 13(9), Article e11008. https://doi.org/10.1002/advs.202511008

Schwenk-Nebbe, L. J., Victoria, M. & Bruun Andresen, G. (2021). Dataset: A proxy for historical CO2 emissions related to centralised electricity generation in Europe. Data in Brief, 36, Article 107016. https://doi.org/10.1016/j.dib.2021.107016

Schwenk-Nebbe, L. J., Vind, J. E., Backhaus, A. J., Victoria, M. & Greiner, M. (2022). Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system. iScience, 25(6), Article 104380. https://doi.org/10.1016/j.isci.2022.104380

Schwenk-Nebbe, L. J. (2022). Heterogeneous Carbon Dioxide Emission Constraints in the European Energy System. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Schmiegel, J. & Pons, F. (2021). Stochastic Intermittency Fields in a von Karman Experiment. Symmetry, 13(9), Article 1752. https://doi.org/10.3390/sym13091752

Schäfer, K., Stroh, A., Forooghi, P. & Frohnapfel, B. (2022). Modelling spanwise heterogeneous roughness through a parametric forcing approach. Journal of Fluid Mechanics, 930, Article A7. https://doi.org/10.1017/jfm.2021.850

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

Sanz-Cuadrado, C., Rahdan, P., Zhang, Z., Victoria, M. & Belén Cristóbal, A. (2026). A New Approach to Assess Individual Contributions to Energy Transition Goals. Energy Policy, 210, Article 115055. https://doi.org/10.1016/j.enpol.2025.115055

Sanz Cuadrado, C., Cristóbal, A. B., Zhang, Z., Rahdan, P. & Victoria, M. (2022). Achieving a New European Energy Awareness (AURORA): Deliverable 1.1 – Near-Zero Emissions Citizens Label. https://www.aurora-h2020.eu/wp-content/uploads/2022/09/D1.1-Near-Zero-Emission-Citizens-Label-PU.pdf

Sandhu, K., Sarkar, P. & Subburaj, K. (2026). Entrepreneurial thinking in engineering design education: a comparative study of cognitive paradigms with insights from industry and academia. Entrepreneurship Education, 9(2), 259-302. https://doi.org/10.1007/s41959-025-00158-5

Sandhu, K., Sarkar, P. & Subburaj, K. (2025). Identification of Skills for Entrepreneurial Thinking Using Natural Language Processing: An Exploration of Entrepreneurs, Faculties Members and Design Students. In A. Chakrabarti, V. Singh, P. S. Onkar & M. Shahid (Eds.), Responsible and Resilient Design for Society - Proceedings of ICoRD 2025 (Vol. 4, pp. 255-266). Springer Science+Business Media. https://doi.org/10.1007/978-981-96-5495-6_20

Sandhu, K., Singh, G., Subburaj, K., Sarkar, P. & Pal, M. (2025). Introduction. In Footwear Innovation: From Conceptual Design through to Advanced Manufacturing Techniques (pp. 3-6). Elsevier. https://doi.org/10.1016/B978-0-443-26751-2.00025-3

Sandhu, K., Sarkar, P. & Karupppasamy, S. (2025). Understanding entrepreneurial thinking for designers: Perspectives from entrepreneurs, academicians, product designers, and students. Thinking Skills and Creativity, 56, Article 101728. https://doi.org/10.1016/j.tsc.2024.101728

Sandhu, K., Karupppasamy, S., Pal, M., Sarkar, P. & Singh, S. (Eds.) (2025). Footwear Innovation: From Conceptual Design through to Advanced Manufacturing Techniques. (1 ed.) Elsevier, Academic Press. https://doi.org/10.1016/C2023-0-52605-9

Sandberg, M., Hattel, J. H. & Spangenberg, J. (2023). Flow‑Induced Fibre Compaction in Resin‑Injection Pultrusion. Transport in Porous Media, 147(3), 541-571. https://doi.org/10.1007/s11242-023-01911-x

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.

Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Article 093617. https://doi.org/10.1063/5.0285462

Salavati, S., Hansen, C., Karstoft, H., Iosifidis, A. & Abkar, M. (2027). Data-driven generative digital twins for wind-farm flows from highly sparse measurements. Expert Systems with Applications, 333(Part B), Article 133815. https://doi.org/10.1016/j.eswa.2026.133815

Sahli, R., Mikkelsen, J., Boye, M. S., Dias, M. A. & Aghababaei, R. (2024). Frictional Contact of Soft Polymeric Shells. Physical Review Letters, 133(10), Article 106202. https://doi.org/10.1103/PhysRevLett.133.106202

Sadik, S. & Dias, M. A. (2021). On local kirigami mechanics I: Isometric conical solutions. Journal of the Mechanics and Physics of Solids, 151, Article 104370. https://doi.org/10.1016/j.jmps.2021.104370

Sadik, S., Walker, M. G. & Dias, M. A. (2022). On local kirigami mechanics II: Stretchable creased solutions. Journal of the Mechanics and Physics of Solids, 161, Article 104812. https://doi.org/10.1016/j.jmps.2022.104812

Sadik, S. & Yavari, A. (2024). Nonlinear anisotropic viscoelasticity. Journal of the Mechanics and Physics of Solids, 182, Article 105461. https://doi.org/10.1016/j.jmps.2023.105461

Sadik, S. & Yavari, A. (2025). A generalized Coleman-Noll procedure and the balance laws of hyper-anelasticity. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2320), Article 20250076. https://doi.org/10.1098/rspa.2025.0076

Sadik, S. & Yavari, A. (2026). Nonlinear Anisotropic Visco-Anelasticity. https://arxiv.org/abs/2606.10801

Sadik, S. & Yavari, A. (2026). On Physical Components of Tensors in Elasticity and Inelasticity. https://arxiv.org/abs/2608.14946

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

Rygg Johnsen, A., Petersen, J. E., Pedersen, M. M. & Yildirim, H. C. (2024). Factors affecting the fatigue strength of additively manufactured Ti-6Al-4V parts. Welding in the World, 68(2), 361-409. https://doi.org/10.1007/s40194-023-01604-5

Rincón, M. J. (2018). Supersonic Retropropulsion CFD Analysis of a Reusable Vertical Landing Rocket: Student thesis: Master thesis (including HD thesis). AALBORG UNIVERSITY , PROJECT LIBRARY. https://projekter.aau.dk/projekter/en/studentthesis/supersonic-retropropulsion-cfd-analysis-of-a-reusable-vertical-landing-rocket(12ade5fb-a2e7-4bbf-afe0-395c90f04fc8).html

Rincón, M. J., Reclari, M. & Abkar, M. (2022). Turbulent flow in small-diameter ultrasonic flow meters: A numerical and experimental study. Flow Measurement and Instrumentation, 87, Article 102227. https://doi.org/10.1016/j.flowmeasinst.2022.102227

Rincón, M. J., Reclari, M., I. A. Yang, X. & Abkar, M. (2023). Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling. International Journal of Heat and Fluid Flow, 100, Article 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

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/

Rincón, M. J., Caspersen, A., Thorenfeldt Ingwersen, N., Reclari, M. & Abkar, M. (2024). Flow investigation of two-stand ultrasonic flow meters in a wide dynamic range by numerical and experimental methods. Flow Measurement and Instrumentation, 96, Article 102543. https://doi.org/10.1016/j.flowmeasinst.2024.102543

Rincón, M. J. (2024). Robust Optimisation of Ultrasonic Flow Meters by Computational Fluid Dynamics and Enhanced Turbulence Modelling. [PhD dissertation, Aarhus University]. Aarhus Universitet. https://doi.org/10.7146/aul.508

Rincón, M. J., Reclari, M., Yang, X. I. A. & Abkar, M. (2025). A generalisable data-augmented turbulence model with progressive and interpretable corrections for incompressible wall-bounded flows. International Journal of Heat and Fluid Flow, 116, Article 109970. https://doi.org/10.1016/j.ijheatfluidflow.2025.109970

Rincón, M. J., Hansen, C., Reclari, M. & Abkar, M. (2026). Implementation and A-posteriori Validation of the Resolved Reynolds Stress TransportEquations in OpenFOAM®. OpenFOAM journal, 6, 79-98. https://doi.org/10.51560/ofj.v6.174

Displaying results 151 to 200 out of 615

Revised 22.02.2024

AU Engineering