Publikationer

Her finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Mekanik og Produktion for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Publikationsliste

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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

Ma, G., da Silva, E. R. & Møller, C. (2024). Digital Twin-based Demand-Driven Production Planning and Scheduling System: A New Conceptual Framework. Procedia CIRP, 130, 705-710. https://doi.org/10.1016/j.procir.2024.10.152

Jensen, A. M. D., Schoerghofer-Queiroz, A., Ulriksen, M. D., Tcherniak, D., Damkilde, L., Talasila, P., Larsen, P. G. & Abbiati, G. (2024). Digital twin as a service for damage prognosis of offshore wind turbine foundations. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 4127-4141). KU Leuven, Departement Werktuigkunde.

Addo-Tenkorang, R., Møller, C. & Chen, K.-L. (2023). Digital Transformation Roadmap for Danish SME Smart Factories: Benefits and Future Research. I International Conference on Smart Business Technologies (s. 41-60)

Glisic, M., Møller, C., Veluri, B. & Ramanujan, D. (2024). Digital Process Passport: A Conceptual Model for Information Collection and Sharing In Sustainable Manufacturing. Procedia CIRP, 130(27), 1077-1083. https://doi.org/10.1016/j.procir.2024.10.209

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. Afhandling præsenteret på ISMA 2022: Leuven Conference on Noise and Vibration Engineering, Leuven , Belgien.

Velu, R., Karupppasamy, S. & Kumar Subramaniyan, A. K. (red.) (2024). Digital Design and Manufacturing of Medical Devices and Systems. (1 udg.) 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. I Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 (s. 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, Artikel 105113. https://doi.org/10.1016/j.compfluid.2021.105113

Djeffal, S., Ghoul, A., Saadi, A., Izri, Z., Morakchi, M. R. & Wang, H. (2025). Design optimization and simulation of a 3D printed cable-driven continuum robot using IKM-ANN and nTop software. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 239(2), 200-218. https://doi.org/10.1177/09596518241276233

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

He, L., Wang, C., Zhang, M., Li, J., Chen, T. & Zhou, X. (2025). Design of BCC/FCC dual-solid solution refractory high-entropy alloys through CALPHAD, machine learning and experimental methods. npj Computational Materials, 11(1), Artikel 105. https://doi.org/10.1038/s41524-025-01597-3

Gøtske, E. K., Andresen, G. B., Neumann, F. & Victoria, M. (2024). Designing a sector-coupled European energy system robust to 60 years of historical weather data. Nature Communications, 15(1), Artikel 10680. https://doi.org/10.1038/s41467-024-54853-3

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, Artikel 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), Artikel 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. I 2021 IEEE International Conference on Robotics and Automation (ICRA) (s. 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. I Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 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), Artikel 94. https://doi.org/10.1007/s00348-024-03814-z

Fulco , S., Budzik, M. K., D. Bain , E. & T. Turner , K. (2022). Decoupling toughness and strength through architected plasticity. Extreme Mechanics Letters, 57, Artikel 101912. https://doi.org/10.1016/j.eml.2022.101912

Hu, P., Li, S. & Budzik, M. K. (2025). Decoupling fracture energy from crack area via surface patterning. Surfaces and Interfaces, 62, Artikel 106066. https://doi.org/10.1016/j.surfin.2025.106066

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, Artikel 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), Artikel 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), Artikel 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, Artikel 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. I A.-L. Andersen, R. Andersen, D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.), 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 (s. 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. (2022). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. I A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.), 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 (s. 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), Artikel 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. I Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Artikel 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 fra American Physical Society March Meeting 2024, Minneapolis , Minnesota, USA. 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), Artikel A202. https://doi.org/10.1103/PhysRevLett.127.235502

Li, J., Zhou, X., Brochu, M., Chekir, N., Sixsmith, J. J. & Zhao, Y. F. (2025). Crystal introducing mechanism in laser wire directed energy deposition fabricated Ti6Al4V. Progress in Additive Manufacturing, 10(2), 1231-1241. 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, Artikel 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, Artikel 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, Artikel 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, Artikel 023006. https://doi.org/10.1103/PRXEnergy.2.023006

Farah, S., Bokde, N. & Andresen, G. B. (2024). Cost and CO₂ emissions co-optimisation of green hydrogen production in a grid-connected renewable energy system. International Journal of Hydrogen Energy, 84, 164-176. https://doi.org/10.1016/j.ijhydene.2024.08.062

Teixeira de Freitas, S., Roos, L., Papadakis, L., Sena-Cruz, J. & Budzik, M. K. (2022, feb.). COST Action CA18120: Reliable roadmap for certification of bonded primary structures APPLICATION FOR COST GRANTS. EU. https://certbond.eu/wp-content/uploads/Certbond-Guidelines_COST-Grants_v20221114.pdf

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Artikel 236. https://doi.org/10.1145/3567591

Li, W., Wu, S., Zhu, J., Zhang, L., Zheng, J., Wang, H., Qiu, Y., Xie, G. & Li, C. (2025). Constitutive modelling of time-dependent polymer matrix composites: Incorporating a visco-hyperelastic model into the micromechanical framework. Composite Structures, 366, Artikel 119220. https://doi.org/10.1016/j.compstruct.2025.119220

Budzik, M. K., Athanasiadis, A. & Dias, M. A. (2021). Confined mechanical metamaterials under fracture loading. Abstract fra 6TH INTERNATIONAL CONFERENCE ON ADHESIVE BONDING 2021, Porto, Portugal.

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), Artikel 055906. https://doi.org/10.1063/5.0217320

Matsuura, K., Mukai, K. & Langthjem, M. A. (2023). Computational and Experimental Study on the Mechanism of Ring Tone. International Journal of Computational Methods and Experimental Measurements, 11(1), 9-16. https://doi.org/10.18280/ijcmem.110102

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