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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Dahl, M. B., Ulriksen, M. D. & Nielsen, M. E. (2023). Eigenvector assignment for damage localization with invariant eigenvalues. In 10th ECCOMAS Thematic Conference on Smart Structures and Materials. Eccomas Proceedia. https://doi.org/10.7712/150123.9861.450498

Faldella, F., Kim, T., Doll, U. & Jansohn, P. (2024). Effect of pressure and H₂ content on global consumption-based turbulent flame speed at gas turbine relevant conditions. International Journal of Hydrogen Energy, 81, 842-851. https://doi.org/10.1016/j.ijhydene.2024.07.282

Erenchun, A., Blanco, B., Gil-Negrete, N., Wang, B. & Kari, L. (2022). Effect of lubrication on the mechanical behavior of magnetorheological elastomers in compression mode. Polymer Testing, 111, Article 107617. https://doi.org/10.1016/j.polymertesting.2022.107617

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

Zehtabiyan-Rezaie, N., Arefian, A., Kermani, M. J., Noughabi, A. K. & Abdollahzadeh, M. (2017). Effect of flow field with converging and diverging channels on proton exchange membrane fuel cell performance. Energy Conversion and Management, 152, 31-44. https://doi.org/10.1016/j.enconman.2017.09.009

Budzik, M. K., Lopes Fernandes, R., Teixeira de Freitas, S., Heide-Jørgensen, S. & Jumel, J. (2021). Effect of adhesive thickness on joint performance during mode I fracture testing. Abstract from 6TH INTERNATIONAL CONFERENCE ON ADHESIVE BONDING 2021, Porto, Portugal.

Sivebaek, I. M., Aghababaei, R. & Espallargas, N. (2024). Editorial: Selected papers from NORDTRIB 2022. Wear, 544-545, Article 205183. https://doi.org/10.1016/j.wear.2023.205183

Helal, I. B. I., Du, Y., Wang, H. & Zhang, X. (2024). Dynamic Modelling of a Continuum Robot Arm with Five 3-DoF Segments. In X. Rui & C. Liu (Eds.), Proceedings of the 2nd International Conference on Mechanical Systems (pp. 477-493). Springer. https://doi.org/10.1007/978-981-99-8048-2_30

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

Thevamaran, R., Griesbach, C., Yazdi, S., Ponga, M., Alimadadi, H., Lawal, O., Jeon, S.-J. & Thomas, E. L. (2020). Dynamic martensitic phase transformation in single-crystal silver microcubes. Acta Materialia, 182, 131-143.

Bruun Andresen, G. (2023). Dunkelflaute: Der, hvor solen ikke skinner. - KlimaFokus. Pictures, Video and sound recordings (digital), Klimakysset. https://www.klimakysset.dk/klimafokus-stil-skarpt-paa-klimaet/groen-energi-fysik/

Balling, O. & SIRANGELO, D. (2022). Drawbar pull testing for machine-soil interaction characterization. 35-36. Abstract from Advances and Innovations in Agricultural Engineering., Herning, Denmark.

Srinivasan, V., Song, B., Luo, J., Karupppasamy, S., Elara Mohan, R., Blessing, L. & Wood, K. (2023). Do Analogies and Analogical Distance Influence Ideation Outcomes in Engineering Design? In S. Mukherjee, V. Dutt & N. Srinivasan (Eds.), Applied Cognitive Science and Technology: Implications of Interactions Between Human Cognition and Technology (pp. 211–230). Springer. https://doi.org/10.1007/978-981-99-3966-4_13

Rahdan, P., Zeyen, E., Gallego-Castillo, C. & Victoria, M. (2024). Distributed photovoltaics provides key benefits for a highly renewable European energy system. Applied Energy, 360, Article 122721. https://doi.org/10.1016/j.apenergy.2024.122721

Manti, S. & Lucantonio, A. (2024). Discovering interpretable physical models using symbolic regression and discrete exterior calculus. Machine Learning: Science and Technology, 5(1), Article 015005. https://doi.org/10.1088/2632-2153/ad1af2

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

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

Suhr, M., Orlowitz, E., Hansen, J. F. & Brandt, A. (2022). Digital image correlation and operational modal analysis: A study of influential factors for non-contact measurements. 2778-2784. Paper presented at ISMA 2022: Leuven Conference on Noise and Vibration Engineering, Leuven , Belgium.

Velu, R., Karupppasamy, S. & Kumar Subramaniyan, A. K. (Eds.) (2024). Digital Design and Manufacturing of Medical Devices and Systems. (1 ed.) Springer. https://doi.org/10.1007/978-981-99-7100-8

Farhadiyadkuri, F. (2022). Development of Robotic Brace for AIS Treatment: Interaction Dynamics and Control. Århus Universitet.

Feng, H., Gomes, C., Sandberg, M., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). Developing a Physical and Digital Twin: An Example Process Model. In Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 (pp. 286-295). IEEE. https://doi.org/10.1109/MODELS-C53483.2021.00050

Bruun Andresen, G. (2024, Apr). det lykkelige Nordsøen - genåbning af Danmarks største gas-felt, Tyra-feltet. Instagram.com. https://www.instagram.com/p/C50BZMOMwXU/?igsh=dXQ5anoweTc1NHFk&img_index=1

D. Huang, X. L. ., Jain, N., Abkar, M., Kunz, R. F. & Yang, X. I. A. (2021). Determining a priori a RANS model’s applicable range via global epistemic uncertainty quantification. Computers & Fluids, 230, Article 105113. https://doi.org/10.1016/j.compfluid.2021.105113

Budzik, M. K., Dias, M. A. & Hoffmann, U. S. (2023). Design of failure loads and crack growth by width varying interfaces. 142. Abstract from International Conference on Adhesive Bonding 2023, Porto, Portugal.

Formentini, G. & Ramanujan, D. (2023). Design for circular disassembly: Evaluating the impacts of product end-of-life status on circularity through the parent-action-child model. Journal of Cleaner Production, 405, Article 137009. https://doi.org/10.1016/j.jclepro.2023.137009

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., 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

Jensen, H. M., Sørensen, K. D. & Clausen, J. (2008). Delamination of Compressed Thin Layers at Corners. https://pure.au.dk/admin/files/15365084/CornerDelaminationICTAM08.pdf

Sørensen, K. D., Jensen, H. M. & Clausen, J. (2008). Delamination of Compressed Thin Layers at Corners. International Journal of Solids and Structures, 45(22-23), 5867-5878. https://doi.org/10.1016/j.ijsolstr.2008.07.004

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

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

Strässle, R. M., Faldella, F. & Doll, U. (2024). Deep learning-based image segmentation for instantaneous flame front extraction. Experiments in Fluids, 65(6), Article 94. https://doi.org/10.1007/s00348-024-03814-z

Pedersen, T. T. (2023). Decision support for renewable energy integration through exploration of near-optimal solutions. Århus Universitet.

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

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Article 075154. https://doi.org/10.1063/5.0160977

Amarloo, A. (2024). Data-Driven RANS Modelling and Prediction of Turbulent Flows. Aarhus University.

Eidi, A., Zehtabiyan-Rezaie, N., Chiassi, R., Yang, X. I. A. & Abkar, M. (2022). Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms. Physics of Fluids, 34(8), Article 085135. https://doi.org/10.1063/5.0100076

Truong, T. T., Airao, J., Hojati, F., Ilvig, C. F., Azarhoushang, B., Karras, P. & Aghababaei, R. (2024). Data-driven prediction of tool wear using Bayesian regularized artificial neural networks. Measurement: Journal of the International Measurement Confederation, 238, Article 115303. https://doi.org/10.1016/j.measurement.2024.115303

Böttjer, T., Ørnskov Rønsch, G., Gonçalves Gomes, C. Â., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A.-L. Andersen, R. Andersen, D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings of the Changeable, Agile, Reconﬁgurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (pp. 431-439). Springer. https://www.springerprofessional.de/en/data-driven-identification-of-remaining-useful-life-for-plastic-/19816878

Böttjer, T., Ørnskov Rønsch, G., Gomes, C., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (pp. 431-439). Springer. https://doi.org/10.1007/978-3-030-90700-6_49

Hansen, C., I. A. Yang, X. & Abkar, M. (2023). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Turbulent Boundary Layers. Journal of Fluids Engineering, Transactions of the ASME, 145(6), Article FE-22-1510. https://doi.org/10.1115/1.4057016

Hansen, C., I. A. Yang, X. & Abkar, M. (2022). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Boundary Layers. In Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Article FEDSM2022-87630, V002T05A023 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2022-87630

Dias, M. A., E.F. Athanasiadis, A., N. Fernando, D. & Budzik, M. K. (2024). Damage propagation in Architected-Interfaces. 1. Abstract from American Physical Society March Meeting 2024, Minneapolis , Minnesota, United States. https://meetings.aps.org/Meeting/MAR24/Session/Q35.10

Malekan, M., Bloch-Jensen, C. D., Zolbin, M. A., Ørskov, K. B., Jensen, H. M. & Aghababaei, R. (2021). Cutting edge wear in high-speed stainless steel end milling. International Journal of Advanced Manufacturing Technology, 114(9-10), 2911-2928. https://doi.org/10.1007/s00170-021-07006-5

Aghababaei, R., Malekan, M. & Budzik, M. (2021). Cutting Depth Dictates the Transition from Continuous to Segmented Chip Formation. Physical Review Letters, 127(23), Article A202. https://doi.org/10.1103/PhysRevLett.127.235502

Li, J., Zhou, X., Brochu, M., Chekir, N., Sixsmith, J. J. & Zhao, Y. F. (Accepted/In press). Crystal introducing mechanism in laser wire directed energy deposition fabricated Ti6Al4V. Progress in Additive Manufacturing. https://doi.org/10.1007/s40964-024-00701-1

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

Volk, M., Yuksel, O., Baran, I., Hattel, J. H., Spangenberg, J. & Sandberg, M. (2022). Cost-efficient, automated, and sustainable composite profile manufacture: A review of the state of the art, innovations, and future of pultrusion technologies. Composites Part B: Engineering, 246, Article 110135. https://doi.org/10.1016/j.compositesb.2022.110135

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

Gøtske, E. K., Bruun Andresen, G. & Victoria, M. (2023). Cost and Efficiency Requirements for Successful Electricity Storage in a Highly Renewable European Energy System. PRX Energy, 2, Article 023006. https://doi.org/10.1103/PRXEnergy.2.023006

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