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

Sort by: Date | Author | Title

Kaushal, I., Veluri, B. & Ramanujan, D. (2026). Enhancing Traceability in Sustainable Manufacturing by Linking Digital Product Passports with Digital Process Passports. Procedia CIRP, 140, 773-778. https://doi.org/10.1016/j.procir.2026.05.130

Kaur, S., Sandhu, K., Sarkar, P. & Subburaj, K. (2025). Understanding User Experience: Exploration of Various Definitions Using Natural Language Process. In A. Chakrabarti, V. Singh, P. S. Onkar & M. Shahid (Eds.), Responsible and Resilient Design for Society: Proceedings of ICoRD 2025 (Vol. 4, pp. 231-241). Springer. https://doi.org/10.1007/978-981-96-5495-6_18

Karupppasamy, S., Singh, S., Ćuković, S., Sandhu, K., Meixner, G. & Petruse, R. E. (Eds.) (2024). Smart VR/AR/MR Systems for Professionals. CRC Press. https://doi.org/10.1201/9781003306078

Karupppasamy, S. (2025). Pragmatic customization in medical device design for sustainable healthcare. In P. Kyratsis, A. Manavis & P. J. Davim (Eds.), CAD/CAM: Computer-Aided Design and Manufacturing, (pp. 143). De Gruyter. https://doi.org/10.1515/9783111585062-007

Karkossa, L., Saretta, M., Gullach, F. E. & Victoria, M. (2026). Can Optimal Dispatch Models Recreate Reality? A Retrospective Analysis of Europe's 2022 Energy Crisis Using PyPSA-Eur. https://doi.org/10.1109/EEM68581.2026.11589899

Kaneko, S., Nakamura, T., Inada, F., Kato, M., Ishihara, K., Nishihara, T., Mureithi, N. & Langthjem, M. A. (2014). Flow Induced Vibrations: Classifications and Lessons from Practical Experiences . Academic Press.

Kalweit, S., Zeyen, E. & Victoria, M. (2025). Endogenous transformation of land transport in Europe for different climate targets. Energy Conversion and Management, 344, Article 120203. https://doi.org/10.1016/j.enconman.2025.120203

Kalweit, S. (2026). Pathways to Net-Zero: ‘Land Transport Decarbonization and the Role of Carbon Management in the European Energy System’. [PhD dissertation, Aarhus University].

Kalweit, S., Fernandes, R., Alamia, A. & Victoria, M. (2026). Near-optimal solutions for carbon capture, conversion, storage, and removal strategies. Environmental Research Letters, 21(12), Article 124044. https://doi.org/10.1088/1748-9326/ae7a91

Kabachi, M. A., Sandberg, M. & Ermanni, P. (2025). Combined experimental–numerical approach for through-thickness unsaturated permeability characterization of deformable fiber-beds. Composite Structures, 371, Article 119396. https://doi.org/10.1016/j.compstruct.2025.119396

Jha, A. K., Jha, A. K., Airao, J. & Khanna, N. (2025). Advanced Machine Learning for Predicting Tool Wear and Tool Life: A Comprehensive Analysis Using Classification and Regression Techniques. In Recent Trends in Material Processing, Characterization and Applications (pp. 405-422). Springer. https://doi.org/10.1007/978-981-96-5856-5_31

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

Jensen, J. S. K. & Aghababaei, R. (2023). Experimental investigation of three-body wear for rubber seals in abrasive slurry environment. Wear, 534-535, Article 205131. https://doi.org/10.1016/j.wear.2023.205131

Jensen, H. M. (2024). Propagating instabilities in solids. In ICTAM2024: Abstract Book (pp. 48-51). International Congress of Theoretical and Applied Mechanics.

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. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 4127-4141). KU Leuven, Departement Werktuigkunde.

Jensen, R. M. & Forooghi, P. (2025). A study of turbulent flow over patchy roughness. Journal of Fluid Mechanics, 1006, Article A28. https://doi.org/10.1017/jfm.2024.1095

Jensen, J. S. K., Esmizadeh, S., Lund, M., Juhl, J., Nemati, N. & Aghababaei, R. (2025). Evaluating the effect of particle roundness on three-body wear between polymers and metals. Wear, 570, Article 206000. https://doi.org/10.1016/j.wear.2025.206000

Jensen, J. S. K. (2024). Investigation of three-body abrasive sand wear in submersible pumps. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Jakobsen, R. B., Kristensen, T. S., Storm, J., Rocha, I. B. C. M. & Andriollo, T. (2026). Predicting plastic strain localization in porous solids using graph neural networks. Mechanics of Materials, 219, Article 105733. https://doi.org/10.1016/j.mechmat.2026.105733

Jacobsen, A. N., Mahravan, E., Kragh-Schwarz, M. V., Catalano, J. & Fooroghi, P. (2025). Multiphysics simulations of alkaline water electrolyzer cells — A sensitivity study on the effect of two-phase flow modeling. Electrochimica Acta, 541, Article 147148. https://doi.org/10.1016/j.electacta.2025.147148

Jacobsen, A. N. & Forooghi, P. (2026). CFD modeling of gas distribution in an alkaline water electrolyzer with porous electrodes. International Journal of Hydrogen Energy, 248, Article 155900. https://doi.org/10.1016/j.ijhydene.2026.155900

Islam, R. & Borah, J. P. (2023). 3d transition metal substituted Fe3Se4: prediction of potential permanent magnet. Journal of Physics: Condensed Matter, 35(32), Article 325801. https://doi.org/10.1088/1361-648X/acd319

Islam, R., Madsen, S. P. & Christensen, M. (2024). Exploring the magnetic properties of W-type SrFe18O27 hexaferrite: Insights from a first-principles study. Physical Review B, 109(2), Article 024414. https://doi.org/10.1103/PhysRevB.109.024414

Islam, R., Vero, K. & Borah, J. P. (2024). Historical overview and recent advances in permanent magnet materials. Materials Today Communications, 41, Article 110538. https://doi.org/10.1016/j.mtcomm.2024.110538

Islam, R., Madsen, S. P. & Christensen, M. (2025). Enhancing magnetocrystalline anisotropy in W-type SrFe₁₈O₂₇ hexaferrite via tailored substitutions. Acta Materialia, 288, 120828. Article 120828. https://doi.org/10.1016/j.actamat.2025.120828

Ip, Y. C. A., Montemartini, L., Chang, J. J. M., Desiderato, A., Franco-Sierra, N. D., Geckeler, C., Herrera, M. A. G., Gregorini, M., Jucker, M., Kirchgeorg, S., Lüthi, M., Mächler, E., Thostrup, F. B., Murari, G., Mura, M., Pulido-Santacruz, P., Sangermano, F., Schindler, T., Melvad, C. ... Deiner, K. (2025). Real-time malaria detection in the Amazon rainforest via drone-collected eDNA and portable qPCR. One Health, 21, Article 101167. https://doi.org/10.1016/j.onehlt.2025.101167

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. In ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Vol. 9). Article IMECE2023-116581, V009T10A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2023-116581

I. A. Yang, X., Abkar, M. & I. Park, G. (2024). Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime. Journal of Fluids Engineering, Transactions of the ASME, 146(8), Article 081501. https://doi.org/10.1115/1.4064850

Huulgaard, R. D., Kristensen, H. S., Mosgaard, M. A., Haase, L. M., Nors, B. & Nielsen, S. (2026). Circular Public Procurement of Textiles – A Roadmap. In CEIC proceedings ( Circular Economy - Interdisciplinary Conference 2026)

Hund, J., Kouznetsova, V. & Andriollo, T. (2025). Efficient prediction of strength and strain localisation in porous solids via microstructure-based limit analysis. Mechanics of Materials, 201, Article 105208. https://doi.org/10.1016/j.mechmat.2024.105208

Hund, J., Cuenca, N. & Andriollo, T. (2026). Crack detection by holomorphic neural networks and transfer-learning-enhanced genetic optimization. Engineering Fracture Mechanics, 338, Article 112050. https://doi.org/10.1016/j.engfracmech.2026.112050

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)

Hu, P., Dias, M. A. & Budzik, M. K. (2024). Geometric tunability of interlaminar resistance. Composites Part B: Engineering, 287, Article 111839. https://doi.org/10.1016/j.compositesb.2024.111839

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

Hu, P. & Budzik, M. K. (2026). Designed intermittency in interlaminar fracture via kirigami-induced crack-front widening. Composites Science and Technology, 279, Article 111611. https://doi.org/10.1016/j.compscitech.2026.111611

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

Hornshøj-Møller, S., Nielsen, P., Forooghi, P. & Abkar, M. (2021). Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes. Renewable Energy, 164, 1550-1558. https://doi.org/10.1016/j.renene.2020.10.148

Hesselvig, J., Nygaard, R. T., Budzik, M. K. & Sandberg, M. (2025). Efficient continuum-based modelling and analysis of polymer SLS: Insights into particle sintering and densification in straight and corner scanning passes. Additive Manufacturing, 109, Article 104828. https://doi.org/10.1016/j.addma.2025.104828

Hesselvig, J., Nygaard, R. T., Budzik, M. K. & Sandberg, M. (2025). Particle Flow and Printing Path Effects in SLS. Abstract from EPF European Polymer Congress, Groningen, Netherlands.

Hesse, N., Strack, D., Rischewski, J. F., Gassert, F. T., Kufner, A., Urban, T., Lochschmidt, M. E., Schwaiger, B. J., Braun, C., Mueller, D. P., Pfeiffer, D., Baum, T., Subburaj, K., Pfeiffer, F. & Gersing, A. S. (2025). Finite element fracture load analysis and dark-field X-ray imaging of osteoporotic and healthy vertebrae in human lumbar spine specimens. BMC Musculoskeletal Disorders, 26(1), Article 545. https://doi.org/10.1186/s12891-025-08709-6

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

Hejlskov Hansen, M., Vernica, T., Mansour, R. & Ramanujan, D. (2024). Three-Dimensional Visualization of Energy Consumption Data in Additive Manufacturing. In 44th Computers and Information in Engineering Conference (CIE): 44th Computers and Information in Engineering Conference (CIE) (Vol. 2A). Article V02AT02A046 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2024-143405

Heide-Jørgensen, S., Ibsen, C. H. & Budzik, M. K. (2021). Temperature dependence of moisture diffusion in woven epoxy-glass composites: A theoretical and experimental study. Materials Today Communications, 29, Article 102844. https://doi.org/10.1016/j.mtcomm.2021.102844

Heide-Jørgensen, S., Budzik, M. K. & Ibsen, C. H. (2022). Three-dimensional, multiscale homogenization for hybrid woven composites with fiber-matrix debonding. Composites Science and Technology, 218, Article 109204. https://doi.org/10.1016/j.compscitech.2021.109204

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), Article 105. https://doi.org/10.1038/s41524-025-01597-3

He, L., Zhang, M., Wang, P., Li, J., Wang, H., Wang, Y., Ye, X., Yan, X., Zhou, S., Liu, S., Zhao, P. & Zhou, X. (2026). Laser melting deposition of dual-phase tungsten-based refractory high-entropy alloys: Face-centered cubic-driven strength and ductility synergy revealed by first-principles calculations. Journal of Materials Science and Technology, 265, 100-111. https://doi.org/10.1016/j.jmst.2025.12.033

Hassan, H., Chatterjee, A., Bushagour, A. & Layton, A. (2025). Potential for Digital Technologies and Additive Manufacturing to Support Lean Manufacturing and Circular Economy Synergies. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 2A: 45th Computers and Information in Engineering Conference (CIE) Article v02at02a040 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2025-169490

Hashmi, M. F., Ashish, B. K. K., Sharma, V., Keskar, A. G., Bokde, N., Yoon, J. H. & Geem, Z. W. (2021). LARNet: Real-Time Detection of Facial Micro Expression Using Lossless Attention Residual Network. Sensors, 21(4), Article 1098. https://doi.org/10.3390/s21041098

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 Proceedings of the ASME 2022 Fluids Engineering Division Summer Meeting : Volume 2: 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

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

Displaying results 351 to 400 out of 617

Revised 22.02.2024

AU Engineering