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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Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Münster, M., Berg Rosendal, M., Madsen, H., Østergaard, J., Morthorst, P. E., Sørensen, P. B., Bruun Andresen, G. & Victoria, M. (2022). Fakta om Atomkraft: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark. https://vbn.aau.dk/ws/portalfiles/portal/491533150/Fakta_om_atomkraft_final.pdf

Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Østergaard, J., Münster, M., Berg Rosendal, M., Madsen, H., Morthorst, P. E., Sørensen, P. B., Bruun Andresen, G., Gøtske, E. K., Pedersen, T. T. & Victoria, M. (2023). Fakta om Atomkraft i Danmark - Version 2: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark. https://vbn.aau.dk/ws/portalfiles/portal/534311584/Fakta_om_atomkraft_V2_FINAL.pdf

Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Østergaard, P. A., Sorknæs, P., Nielsen, S., Thøis Madsen, P. & Bruun Andresen, G. (2024). Cost and systems effects of nuclear power in carbon-neutral energy systems. Applied Energy, 371, Article 123705. https://doi.org/10.1016/j.apenergy.2024.123705

Zhu, J., Li, X., Zhou, Q. & Aghababaei, R. (2022). On the anisotropic scratching behavior of single crystalline copper at nanoscale. Tribology International, 175, Article 107794. https://doi.org/10.1016/j.triboint.2022.107794

Zhu, J. & Aghababaei, R. (2023). On the size effect in scratch and wear response of single crystalline copper. Tribology International, 186, Article 108573. https://doi.org/10.1016/j.triboint.2023.108573

Zhu, J., Xiao, J., Zhou, Q. & Aghababaei, R. (2024). Effect of grain boundary on scratch behavior of polycrystalline copper. International Journal of Mechanical Sciences, 272, Article 109175. https://doi.org/10.1016/j.ijmecsci.2024.109175

Zhou, Z., Li, L., Wang, R. & Zhang, X. (2020). Experimental Eye-in-hand Calibration for Industrial Mobile Manipulators. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 (pp. 582-587). Article 9233585 IEEE. https://doi.org/10.1109/ICMA49215.2020.9233585

Zhou, Z., Li, L., Fürsterling, A., Durocher, H., Mouridsen, J. & Zhang, X. (2022). Learning-based object detection and localization for a mobile robot manipulator in SME production. Robotics and Computer-Integrated Manufacturing, 73, Article 102229. https://doi.org/10.1016/j.rcim.2021.102229

Zhou, Z., Li, L. & Zhang, X. (2021). Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4148-4154). IEEE. https://doi.org/10.1109/ICRA48506.2021.9561106

Zhou, Z., Yang, X., Wang, H. & Zhang, X. (2022). Digital Twin with Integrated Robot-Human/Environment Interaction Dynamics for an Industrial Mobile Manipulator. Proceedings - IEEE International Conference on Robotics and Automation (ICRA), 5041-5047. https://doi.org/10.1109/ICRA46639.2022.9812004

Zhou, Z., Yang, X., Wang, H. & Zhang, X. (2022). Coupled dynamic modeling and experimental validation of a collaborative industrial mobile manipulator with human-robot interaction. Mechanism and Machine Theory, 176, Article 105025. https://doi.org/10.1016/j.mechmachtheory.2022.105025

Zhou, Z., Yang, X. & Zhang, X. (2025). Variable impedance control on contact-rich manipulation of a collaborative industrial mobile manipulator: An imitation learning approach. Robotics and Computer-Integrated Manufacturing, 92, Article 102896. https://doi.org/10.1016/j.rcim.2024.102896

Zhou, Z. (2022). Interaction Dynamics and Control of Collaborative Industrial Mobile Robot Manipulators for SME Manufacturing. [PhD thesis, Aarhus University]. Aarhus Universitet.

Zheng, W., Ma, L., Pei, S. & Aghababaei, R. (2024). Numerical assessment of transition in cutting mode and its effect on roughness creation. International Journal of Mechanical Sciences, 261, Article 108666. https://doi.org/10.1016/j.ijmecsci.2023.108666

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

Zhang, B., Endelt, B., Lang, L. & Nielsen, K. B. (2021). Identification of constitutive parameters for thin-walled aluminium tubes using a hybrid strategy. Materials Today Communications, 28, Article 102670. https://doi.org/10.1016/j.mtcomm.2021.102670

Zhang, Z., Zhang, L., Jasa, J., Negahban, M. & Gazonas, G. (2022). Molecular sources of ratcheting in poly-dispersed polycarbonate. International Journal of Fatigue, 154, Article 106567. https://doi.org/10.1016/j.ijfatigue.2021.106567

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

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

Zhang, Z., Chai, X., Si, G. & Zhang, X. (2024). Quantifying Variability in Zebrafish Larvae Locomotor Behavior across Experimental Conditions: A Learning-Based Tracker. Fishes, 9(6), Article 193. https://doi.org/10.3390/fishes9060193

Zhang, Z., Sun, T., Wang, Z. & Zhang, X. (2024). Trajectory Planning and Performance Atlases of a New Omnidirectional Conveyor. Actuators, 13(11), Article 441. https://doi.org/10.3390/act13110441

Zeyen, E., Victoria, M. & Brown, T. (2023). Endogenous learning for green hydrogen in a sector-coupled energy model for Europe. Nature Communications, 14(1), Article 3743. https://doi.org/10.1038/s41467-023-39397-2

Zeyen, E., Kalweit, S., Victoria, M. & Brown, T. (2025). Shifting burdens: how delayed decarbonisation of road transport affects other sectoral emission reductions. Environmental Research Letters, 20(4), Article 044044. https://doi.org/10.1088/1748-9326/adc290

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2022). Data-driven fluid mechanics of wind farms: A review. Journal of Renewable and Sustainable Energy, 14(3), Article 032703. https://doi.org/10.1063/5.0091980

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

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

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

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Article 045142 . https://doi.org/10.1063/5.0203068

Zehtabiyan-Rezaie, N., Perto Justsen, J. & Abkar, M. (2024). Wind-farm power prediction using a turbulence-optimized Gaussian wake model. Wind Energy and Engineering Research, 2, Article 100007. https://doi.org/10.1016/j.weer.2024.100007

Zehtabiyan-Rezaie, N. (2026). From guidance to independence: Scaffolding a diverse group of students. AU Educate. https://educate.au.dk/en/teaching-cases/from-support-to-independence-scaffolding-a-diverse-group-of-students

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

Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D., Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022). Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms. Array, 14, Article 100176. https://doi.org/10.1016/j.array.2022.100176

Yee, A. Z. H., Kwok, B., Ng, J., Loy, G. P., Ng, L. Y., Sng, J. R. H., Perrault, S., Lim, K. H. & Subburaj, K. (2025). Why Older Adults Integrate Digital Health Technology Into Their Everyday Lives: The Role of Basic Psychological Needs. Human Behavior and Emerging Technologies, 2025(1), Article 9711661. https://doi.org/10.1155/hbe2/9711661

Yang, X. I. A., E. S. Chen, P., Hu, R. & Abkar, M. (2022). Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers. Boundary-Layer Meteorology, 183(2), 199-213. https://doi.org/10.1007/s10546-021-00683-5

Yang, J., Stroh, A., Chung, D. & Forooghi, P. (2022). Direct numerical simulation-based characterization of pseudo-random roughness in minimal channels. Journal of Fluid Mechanics, 941, Article A47. https://doi.org/10.1017/jfm.2022.331

Yang, H., Ge, M., Abkar, M. & I. A. Yang, X. (2022). Large-eddy simulation study of wind turbine array above swell sea. Energy, 256, Article 124674. https://doi.org/10.1016/j.energy.2022.124674

Yang, X., Qiang, D., Chen, Z., Wang, H., Zhou, Z. & Zhang, X. (2022). Dynamic Modeling and Digital Twin of a Harmonic Drive Based Collaborative Robot Joint. In 2022 IEEE International Conference on Robotics and Automation, ICRA 2022 (pp. 4862-4868). IEEE. https://doi.org/10.1109/ICRA46639.2022.9812458

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

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

Yang, X., Du, Y., Li, L., Zhou, Z. & Zhang, X. (2023). Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints. IEEE Robotics and Automation Letters, 8(12), 8462-8469. https://doi.org/10.1109/LRA.2023.3329620

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2023). Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data-driven approach. Journal of Fluid Mechanics, 975, Article A34. https://doi.org/10.1017/jfm.2023.881

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

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

Yang, X. (2024). Towards Physical Interaction Control of Collaborative Industrial Robots Augmented with Scientific Machine Learning for SME Productions. [PhD thesis, Aarhus University]. Aarhus University.

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

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

Yamaguchi, Y., Langthjem, M. A. & Kosawada, T. (2020). Study on the Self-excited Vibration in Cylindrical Plunge Grinding Process. In Proceedings of the 15th International Conference on Motion and Vibration (MoViC 2020) Japan Society of Mechanical Engineers. https://doi.org/10.1299/jsmeintmovic.2020.15.10021

Xie, Z. & Andresen, G. B. (2024). Direct and Indirect Hydrogen Storage: Dynamics and Interactions in the Transition to a Renewable Energy Based System for Europe.

Xie, Z. (2025). System Perspectives on Hydrogen in Europe's Renewable Transition. [PhD thesis, Aarhus University].

Displaying results 1 to 50 out of 525

Revised 22.02.2024

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