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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Farah, S. (2023). Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system. Poster session presented at 22nd Wind & Solar Integration Workshop, Lyngby, Denmark.

Ali, A., Muqeet, H. A., Khan, T., Hussain, A., Waseem, M. & Niazi, K. A. K. (2023). IoT-Enabled Campus Prosumer Microgrid Energy Management, Architecture, Storage Technologies, and Simulation Tools: A Comprehensive Study. Energies, 16(4), Article 1863. https://doi.org/10.3390/en16041863

Dvorak, A. J. & Victoria, M. (2023). Key Determinants of Solar Share in Solar- and Wind-Driven Grids. IEEE Journal of Photovoltaics, 13(3), 476-483. https://doi.org/10.1109/JPHOTOV.2023.3252174

Vernica, T., Aher, G. R., Veluri, B. & Ramanujan, D. (2023). LCAD: A Framework for Coupling Computer-Aided Design and Life Cycle Analysis Visualizations. In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Article DETC2023-116573, V005T05A007; American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2023-116573

Vadrot, A. F., I. A. Yang, X., Bae, H. J. & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5), Article 055122 . https://doi.org/10.1063/5.0147570

Bodden, J., Dieckmeyer, M., Sollmann , N., Rühling, S., Prucker, P., T. Löffler, M., Burian, E., Karupppasamy, S., Zimmer, C., Kirschke , J. S. & Baum, T. (2023). Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation framework. Quantitative Imaging in Medicine and Surgery (QIMS), 13(9), 5472-5482. https://doi.org/10.21037/qims-23-19

Binedell, T., Gupta, U., Sithanathan, B., Karupppasamy, S. & Blessing, L. (2023). Mapping lines of non-extension in persons with lower limb amputation to aid comfort-driven prosthetic socket design. Medical Engineering & Physics, 118, Article 104018. https://doi.org/10.1016/j.medengphy.2023.104018

Alameen, E. H. O., Lucantonio, A. & DeSimone, A. (2023). Mechanics and transient morphing of soft hygroscopic bilayers. Mechanics Research Communications, 131, Article 104131. https://doi.org/10.1016/j.mechrescom.2023.104131

Dias, M. A., Athanasiadis, A., Fernando, D. N. & Budzik, M. K. (2023). Micromechanics of architected interfaces. 73. Abstract from International Conference on Adhesive Bonding 2023, Porto, Portugal.

Nemati, N., Manhard, A., Greuner, H., Hunger, K., Böswirth, B., Visca, E. & You, J. H. (2023). Microstructural evolution of tungsten under thermal loads: A comparative study between cyclic high heat flux loading and isochronous furnace heating. Nuclear Materials and Energy, 36, Article 101465. https://doi.org/10.1016/j.nme.2023.101465

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

Brandt, A. (2023). Noise and Vibration Analysis: Signal Analysis and Experimental Procedures. (2 ed.) Wiley. https://doi.org/10.1002/9781118962176

Farhadiyadkuri, F. & Zhang, X. (2023). Novel Interaction Control in Adolescent Idiopathic Scoliosis Treatment Using a Robotic Brace. Journal of Intelligent and Robotic Systems: Theory and Applications, 109(3), Article 73. https://doi.org/10.1007/s10846-023-02010-1

Mula, B. B., Escalona, J., Lambert, R., Ling, R. & Balling, O. (2023). On the definition and effect of optimum gear microgeometry modifications for the gearbox of an offshore 10-MW wind turbine. Wind Energy, 26(7), 717-740. https://doi.org/10.1002/we.2825

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

Ma, L. & Aghababaei, R. (2023). On the Uniqueness of Wear Coefficient for Abrasive Wear at Nanoscale. Journal of Tribology, 145(6), Article 062101. https://doi.org/10.1115/1.4062099

Søgaard Kristensen, A., Kruse Sørensen, E., Madsen, C., Kristofersson, J. & Forooghi, P. (2023). Performance analysis of heat pumps with zeotropic mixtures at different load conditions. International Journal of Refrigeration, 145, 264-275. https://doi.org/10.1016/j.ijrefrig.2022.09.028

Haegel, N. M., Verlinden, P., Victoria, M., Altermatt, P., Atwater, H., Barnes, T., Breyer, C., Case, C., De Wolf, S., Deline, C., Dharmrin, M., Dimmler, B., Gloeckler, M., Goldschmidt, J. C., Hallam, B., Haussener, S., Holder, B., Jaeger, U., Jaeger-Waldau, A. ... W. Bett, A. (2023). Photovoltaics at multi-terawatt scale: Waiting is not an option: 25% annual PV growth is possible over the next decade. Science, 380(6640), 39-42. https://doi.org/10.1126/science.adf6957

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

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

Movassagh-Alanagh, F., Abdollah-zadeh, A., Alizadeh Zolbin, M., Nemati, N. & Aghababaei, R. (2023). Plasma-enhanced chemical vapor deposition of TiB₂ and TiBN hard coatings using BBr₃. Tribology International, 179, Article 108137. https://doi.org/10.1016/j.triboint.2022.108137

Mahato, M., Garai, M., Nguyen, V. H., Oh, S., Nam, S., Zeng, X., Yoo, H., Tabassian, R. & Oh, I. K. (2023). Polysulfonated covalent organic framework as active electrode host for mobile cation guests in electrochemical soft actuator. Science Advances, 9(50), Article eadk9752. https://doi.org/10.1126/sciadv.adk9752

Won, J., Bae, J., Kim, H., Kim, T., Nemati, N., Choi, S., Jung, M. C., Kim, S., Choi, H., Kim, B., Jin, D., Kim, M., Han, M. J., Kim, J. Y. & Shim, W. (2023). Polytypic Two-Dimensional FeAs with High Anisotropy. Nano Letters, 23(23), 11057-11065. https://doi.org/10.1021/acs.nanolett.3c03324

Alamia, A. & Bruun Andresen, G. (2023). Power-to-X integration in biogas plants: industrial symbiosis and cost-optimal production of hydrogen and e-methanol: won a best poster award. Poster session presented at Retrospect: GreenLab Summit 2023, Skive, Denmark.

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

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

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Article 125154 . https://doi.org/10.1063/5.0174470

Baungaard, M., van der Laan, M. P., Wallin, S. & Abkar, M. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics: Conference Series, 2505(1), Article 012028. https://doi.org/10.1088/1742-6596/2505/1/012028

Efeoǧlu, A. & Moller, C. (2023). Redesigning design thinking for codesign with nondesigners: a method efficiency perspective. Design Science, 9, Article e14. https://doi.org/10.1017/dsj.2023.11

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

Aher, G. R., Macedo, H. D., Larsen, P. G. & Ramanujan, D. (2023). Supporting Design for Circular Economy Using Lifecycle Co-Simulation. In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Article DETC2023-116537, V005T05A006; American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2023-116537

Vadrot, A. F., Yang, X. I. A. & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), Article 064603. https://doi.org/10.1103/PhysRevFluids.8.064603

Neumann, F., Zeyen, E., Victoria, M. & Brown, T. (2023). The potential role of a hydrogen network in Europe. Joule, 7(8), 1793-1817. https://doi.org/10.1016/j.joule.2023.06.016

Ramanujan, D., Bernstein, W. Z., Diaz-Elsayed, N. & R. Haapala, K. (2023). The Role of Industry 4.0 Technologies in Manufacturing Sustainability Assessment. Journal of Manufacturing Science and Engineering, 145(1), Article 010801. https://doi.org/10.1115/1.4055661

Langthjem, M. A., Imura, M. & Yamaguchi, K. (2023). The unbalanced rotating cylinder partially filled with fluid; multiple scales analysis of a forced Korteweg–de Vries–Burgers equation. Journal of Engineering Mathematics, 140, Article 1. https://doi.org/10.1007/s10665-023-10259-6, https://doi.org/10.1007/s10665-023-10259-6

Gad Kjeld, J., Avendaño-Valencia, L. D., Brandt, A., Christensen, S. S. & Karottki Falk Andersen, J. (2023). Towards minimal empirical uncertainty bounds of damping estimates of an offshore wind turbine in idling conditions. Mechanical Systems and Signal Processing, 191, Article 110180. https://doi.org/10.1016/j.ymssp.2023.110180

Aher, G. R., Boudjadar, J. & Ramanujan, D. (2023). Towards Simulation-Based Circular Product Design. Procedia CIRP, 116, 690-695. https://doi.org/10.1016/j.procir.2023.02.116

Eheliyagoda, D., Ramanujan, D., Veluri, B., Liu, Q. & Liu, G. (2023). Tracing the multiregional evolution of the global dysprosium demand-supply chain. Resources, Conservation & Recycling, 199, Article 107245. https://doi.org/10.1016/j.resconrec.2023.107245

Lu, H., Rui, X. & Zhang, X. (2023). Transfer matrix method for linear vibration analysis of flexible multibody systems. Journal of Sound and Vibration, 549, Article 117565. https://doi.org/10.1016/j.jsv.2023.117565

van Innis, C. V. I., Budzik, M. K. & Pardoen, T. (2023). Ultra tough architected joints through single step bonding process with tunable properties. 205. Abstract from International Conference on Adhesive Bonding 2023, Porto, Portugal.

Pedersen, T. T., Andersen, M. S., Victoria, M. & Bruun Andresen, G. (2023). Using Modeling All Alternatives to explore 55% decarbonization scenarios of the European electricity sector. iScience, 26(5), Article 106677. https://doi.org/10.1016/j.isci.2023.106677

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

Vernica, T., Glišić, M., Veluri, B. & Ramanujan, D. (2023). Volumetric mapping and visualization of life cycle assessment results on computer-aided design models. Journal of Cleaner Production, 418, Article 138035. https://doi.org/10.1016/j.jclepro.2023.138035

Lund, H., Zinck Thellufsen, J., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Sørensen, P. B., Bruun Andresen, G. & Victoria, M. (2022). 16 energiforskere fra fem universiteter: Lad os få mere fakta i atomkraftdebatten: Der er ikke behov for atomkraft for at sikre stabilitet i elforsyningen. Det vil kun gøre den dyrere og samtidig forsinke den grønne omstilling, skriver en række forskere i et svar til kernefysikere, som har efterlyst mere helstøbt og åben vurdering af atomkraft i Danmark. . Altinget. https://www.altinget.dk/forsyning/artikel/16-energiforskere-fra-fem-universiteter-lad-os-faa-mere-fakta-i-atomkraftdebatten

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, Article e13837. https://doi.org/10.7717/peerj.13837

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

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

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

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

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

Displaying results 301 to 350 out of 524

Revised 22.02.2024

AU Engineering