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

Mitra, T., singh, G., Darki, A. A., Madsen, S. P. & Dantan, A. R. (2024). Narrow-linewidth Fano microcavities with resonant subwavelength grating mirror. Optics Express, 32(9), 15667-15679. https://doi.org/10.1364/OE.521329

Mirzaiee, R., Vernica, T., Scheuringer, K. & Bernstein, W. Z. (2022). Towards Retargetable Animations for Industrial Augmented Reality. In Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022 (pp. 872-873). IEEE. https://doi.org/10.1109/VRW55335.2022.00287

Mirian, M. H., Silani, M., Akbarzadeh, S. & Aghababaei, R. (2026). Multi-objective optimization of AlCrN coated carbide cutting tools for stress and temperature reduction. Journal of Manufacturing Processes, 158, 205-217. https://doi.org/10.1016/j.jmapro.2025.12.062

Mikropoulos, E., Roelfsema, M., Chen, H. H., Staffell, I., Oreggioni, G., Hdidouan, D., Thellufsen, J. Z., Chang, M. A., Fragkos, P., Giannousakis, A., Chatterjee, S., Ürge-Vorsatz, D., Pfenninger, S., Pickering, B., Victoria, M., Brown, T. & van Vuuren, D. P. (2025). Examining pathways for a climate neutral Europe by 2050: A model comparison analysis including integrated assessment models and energy system models. Energy, 319, Article 134809. https://doi.org/10.1016/j.energy.2025.134809

Migliorini, M., Zachos, P. K., Macmanus, D. G., Doll, U., Dues, M., Steinbock, J., Dues, F., Siswanto, A., Melnikov, S. M. & Röhle, I. (2024). Seeding-free inlet flow distortion measurements using filtered Rayleigh scattering: integration in a complex intake test facility. Paper presented at AIAA SciTech Forum and Exposition, 2024, Orlando, United States. https://doi.org/10.2514/6.2024-2831

Migliorini, M., Doll, U., Lawson, N. J., Melnikov, S. M., Steinbock, J., Dues, M., Zachos, P. K., Röhle, I. & MacManus, D. G. (2025). Advancements on the use of Filtered Rayleigh Scattering (FRS) with Machine learning methods for flow distortion in Aero-Engine intakes. Experimental Thermal and Fluid Science, 160, 111325. Article 111325. https://doi.org/10.1016/j.expthermflusci.2024.111325

Matsuura, K., Mukai, K. & Langthjem, M. A. (2021). Computational and experimental study on ring tone. In S. Hernández & A. Coruña (Eds.), Advances in Fluid Dynamics with emphasis on Multiphase and Complex Flow (pp. 141-151). WIT Press. https://doi.org/10.2495/MPF210121

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

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

Manti, S., Tsai, P.-H., Lucantonio, A. & Iliescu, T. (2025). Symbolic regression of data-driven reduced order model closures for under-resolved, convection-dominated flows. Journal of Computational Physics, 540, Article 114298. https://doi.org/10.1016/j.jcp.2025.114298

Manti, S., Mohammadian, S., Treiber, M. & Lucantonio, A. (2025). SR-Traffic: Discovering Macroscopic Traffic Flow Models with Symbolic Regression. 1-7. https://ml4physicalsciences.github.io/2025/files/NeurIPS_ML4PS_2025_105.pdf

Manti, S. (2025). Model Discovery via Symbolic Regression with Applications to Fluid Transport Problems. [PhD dissertation, Aarhus University].

Mansour, R., Enblom, P., Subasic, M., Ireland, A., Gustavsson, F., Forssgren, B. & Efsing, P. (2025). Influence of temperature-dependent viscoplastic relaxation and strain-induced martensitic transformation on the fatigue life of 304L stainless steel. International Journal of Fatigue, 198, Article 108992. https://doi.org/10.1016/j.ijfatigue.2025.108992

Malekan, M., Budzik, M. K., Jensen, H. M. & Aghababaei, R. (2021). Fracture analyses of surface asperities during sliding contact. Tribology International, 159, Article 106939. https://doi.org/10.1016/j.triboint.2021.106939

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

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

Malekan, M., Ilvig, C. F. & Aghababaei, R. (2024). Effects of Edge Radius and Coating Thickness on the Cutting Performance of AlCrN-Coated Tool. International Journal of Precision Engineering and Manufacturing, 25(10), 2059-2075. https://doi.org/10.1007/s12541-024-01074-9

Malekan, M., Madsen, K. L., Airao, J., Ilvig, C. F. & Aghababaei, R. (2025). Numerical assessment of tool geometry for improving productivity in milling stainless steel 316 L. International Journal of Advanced Manufacturing Technology, 136(7), 3451-3463. Article 109782. https://doi.org/10.1007/s00170-025-15061-5

Majidi, S. S., Su, Y., Jørgensen, M. L., Müller, C., Forooghi, P., Nie, G. & Chen, M. (2021). Rayleigh Instability-Driven Coaxial Spinning of Knotted Cell-Laden Alginate Fibers as Artificial Lymph Vessels. ACS applied materials & interfaces, 13(19), 22142-22149. https://doi.org/10.1021/acsami.1c00798

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

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

Madsen, N. D., Steffensen, S., Jensen, H. M. & Bøttiger, J. (2015). Toughness measurement of thin films based on circumferential cracks induced at conical indentation. International Journal of Fracture, 193(2), 117-130. https://doi.org/10.1007/s10704-015-0022-5, https://doi.org/10.1007/s10704-015-0022-5

Madary, A., Momeni, H. R., Abate, A. & Larsen, K. G. (2022). Hierarchical Identification of Nonlinear Hybrid Systems in a Bayesian Framework. Information and Computation, 289(Part A), Article 104947. https://doi.org/10.1016/j.ic.2022.104947

Ma, L. & Aghababaei, R. (2022). On the Effect of Adhesive Strength and Scratching Depth on Material Transfer During Nanoscale Scratching. Tribology Letters, 70(1), Article 26. https://doi.org/10.1007/s11249-021-01558-z

Ma, P., Xia, R., Wang, X., Zhang, X., Królczyk, G., Gardoni, P. & Li, Z. (2022). An active control method for vibration reduction of a single-link flexible manipulator. Journal of Low Frequency Noise Vibration and Active Control, 41(4), 1497-1506. https://doi.org/10.1177/14613484221094982

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

Ma, L., Nemati, N., Kim, D. E. & Aghababaei, R. (2024). Interface Amorphization Controls Maximum Wear Resistance of Multinanolayer DLC/WC Coatings. ACS Applied Materials and Interfaces, 16(14), 18090-18098. https://doi.org/10.1021/acsami.3c18218

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

Ma, L. (2024). Atomic insights into the abrasive wear mechanisms of mono- and multi-layer coatings at the single asperity level. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Luo, X., Andriollo, T., Baxevanakis, K. P. & Silberschmidt, V. V. (2025). Microstructural effect on fracture evolution in spheroidal graphite iron: Numerical analysis. Engineering Failure Analysis, 174, Article 109459. https://doi.org/10.1016/j.engfailanal.2025.109459

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

Lucantonio, A., Nardinocchi, P., Pezzulla, M., Pugliese, V. & Teresi, L. (2013). Modeling Tools for Soft Robotics. Poster session presented at Soft Robotic Conference, Ascona, Switzerland.

Lubineau, G., Alfano, M., Tao, R., Wagih, A., Yudhanto, A., Li, X., Almuhammadi, K., Hashem, M., Hu, P., Mahmoud, H. A. & Oz, F. (2024). Harnessing Extrinsic Dissipation to Enhance the Toughness of Composites and Composite Joints: A State-of-the-Art Review of Recent Advances. Advanced Materials, 36(51), Article 2407132. https://doi.org/10.1002/adma.202407132

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

L.S. Hedvard, M., Dias, M. A. & Budzik, M. K. (2024). Toughening mechanisms and damage propagation in Architected-Interfaces. International Journal of Solids and Structures, 288, Article 112600. https://doi.org/10.1016/j.ijsolstr.2023.112600

L. Jensen, C. S., B. E. Pedersen, R., Mula, B. B., Escalona, J. & Balling, O. (2022). On the Combination of Geometrically Nonlinear Models and Substructuring for Multibody Simulation of Wind Turbine Blades. In 18th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC) Article DETC2022-90948, V009T09A011 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2022-90948

Linneberg, M. S., Ramanujan, D. & Remy, C. (2020). Implementing bottom-up sustainability innovation in engineering design practice. Paper presented at 2nd International Conference on Innovative Applied Energy, Cambridge, United Kingdom.

Li, L., Wang, R. & Zhang, X. (2021). A Tutorial Review on Point Cloud Registrations: Principle, Classification, Comparison, and Technology Challenges. Mathematical Problems in Engineering, 2021, Article 9953910. https://doi.org/10.1155/2021/9953910

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

Li, L., Yang, X., Wang, R. & Zhang, X. (2024). Automatic Robot Hand-Eye Calibration Enabled by Learning-Based 3D Vision. Journal of Intelligent and Robotic Systems: Theory and Applications, 110(3), Article 130. https://doi.org/10.1007/s10846-024-02166-4

Li, L. & Zhang, X. (2025). A robust assessment method of point cloud quality for enhancing 3D robotic scanning. Robotics and Computer-Integrated Manufacturing, 92, Article 102863. https://doi.org/10.1016/j.rcim.2024.102863

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, Article 119220. https://doi.org/10.1016/j.compstruct.2025.119220

Li, W., Negahban, M., Zhang, W., Zhang, L. & Zhu, J. (2025). Network yield and detangling as a tool for modeling back-stress network softening: A thermodynamically consistent model for polycarbonate. International Journal of Engineering Science, 215, Article 104322. https://doi.org/10.1016/j.ijengsci.2025.104322

Li, X., Cheng, Y., Møller, C. & Lee, J. (2025). Data issues in industrial AI systems: A meta-review and research strategy. Computers in Industry, 173, Article 104361. https://doi.org/10.1016/j.compind.2025.104361

Li, L., Wan, L., Krueger, V. & Zhang, X. (2025). 3D Hand-Eye Calibration for Collaborative Robot Arm: Look at Robot Base Once. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - (Volume 2) (Vol. 2, pp. 333-341). SCITEPRESS Digital Library. https://doi.org/10.5220/0013738500003982

Li, L. (2025). Active 3D Vision for Robotic Manufacturing Enhancement. [PhD dissertation, Aarhus University].

Li, X., Cheng, Y. & Møller, C. (2026). Data governance in operations and supply chain: a literature review. Industrial Management and Data Systems, 1-29. Advance online publication. https://doi.org/10.1108/IMDS-05-2025-0650

Lerchl, T., Strack, D., Allaire, B., Yee, E., Scott, R., Nispel, K., Moeller, H., Graf, R., Karupppasamy, S., Kirschke , J. S., Bouxsein, M. L. & Anderson, D. E. (2025). THE EFFECTS OF PREVALENT VERTEBRAL FRACTURES ON SPINAL BIOMECHANICS. Abstract from 20th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Barcelona, Spain. https://www.researchgate.net/publication/397941200_THE_EFFECTS_OF_PREVALENT_VERTEBRAL_FRACTURES_ON_SPINAL_BIOMECHANICS

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. Article 236. https://doi.org/10.1145/3567591

Lee, S., Yang, J., Forooghi, P., Stroh, A. & Bagheri, S. (2022). Predicting drag on rough surfaces by transfer learning of empirical correlations. Journal of Fluid Mechanics, 933, Article A18. https://doi.org/10.1017/jfm.2021.1041

Displaying results 251 to 300 out of 577

Revised 22.02.2024

AU Engineering