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Institut for Mekanik og Produktion

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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Subasic, M., Olsson, M., Dadbakhsh, S., Zhao, X., Krakhmale, P. & Mansour, R. (2023). Fatigue strength improvement of additively manufactured 316L stainless steel with high porosity through preloading. International Journal of Fatigue, 180, Artikel 108077. https://doi.org/10.1016/j.ijfatigue.2023.108077

Vero, K., Islam, R. & Borah, J. P. (2023). First-principles study on the enhancement of structure stability and magnetocrystalline anisotropy energy of L1₀-ordered Mn_1−xFe_xAlC compound for permanent magnet application. Journal of Applied Physics, 134(15), Artikel 153902. https://doi.org/10.1063/5.0172356

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

Kumar , R., Sandhu, K., Ranjan, N., Singh, S., Sarkar, P., Karupppasamy, S. & Ramakrishna, S. (2023). Form exploration on different fabrics using material extrusion based additive manufacturing and end users experience. Journal of Manufacturing Processes, 101, 959-973. https://doi.org/10.1016/j.jmapro.2023.06.053

Glisic, M. (2023). Guiding production planning to improve manufacturing process inventory data collection and modelling. Århus Universitet.

Cristóbal, A. B., Narvarte, L., Victoria, M., Fialho, L., Zhang, Z., Sanz-Cuadrado, C. & Bokalič, M. (2023). Igniting University Communities: Building Strategies that Empower an Energy Transition through Solar Energy Communities. Solar RRL, 7(24), Artikel 2300498. https://doi.org/10.1002/solr.202300498

Colombo, M., Chaudhry, P., Oberholzer, Y. & deMello, A. J. (2023). Integrative modeling of hemodynamic changes and perfusion impairment in coronary microvascular disease. Frontiers in Bioengineering and Biotechnology, 11, Artikel 1204178. https://doi.org/10.3389/fbioe.2023.1204178

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. I The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements Proceedings https://www.ercoftac.org/etmm/program/conference-program/

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

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), Artikel 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. I ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Artikel 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), Artikel 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, Artikel 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, Artikel 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 fra 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, Artikel 101465. https://doi.org/10.1016/j.nme.2023.101465

Brandt, A. (2023). Noise and Vibration Analysis: Signal Analysis and Experimental Procedures. (2 udg.) 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), Artikel 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, Artikel 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), Artikel 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), Artikel 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, Artikel 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), Artikel 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 præsenteret på Retrospect: GreenLab Summit 2023, Skive, Danmark.

Alzweighi, M., Mansour, R., Maass, A., Hirn, U. & Kulachenko, A. (2023). Predicting moisture penetration dynamics in paper with machine learning approach. International Journal of Solids and Structures, 288, Artikel 112602. https://doi.org/10.1016/j.ijsolstr.2023.112602

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, Artikel 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, Artikel 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), Artikel 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 (Online), 2505, Artikel 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, Artikel 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), Artikel 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. I ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Artikel 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), Artikel 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), Artikel 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, Artikel 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, Artikel 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

D Ranasinghe Mudiyanse Ralahamillage, D. P. E., Ramanujan, D., Veluri, B., Liu, Q. & Liu, G. (2023). Tracing the multiregional evolution of the global dysprosium demand-supply chain. Resources, Conservation & Recycling, 199, Artikel 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, Artikel 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 fra 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), Artikel 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, Artikel 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

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Institut for Mekanik og Produktion