Šeta, B.
, Sandberg, M., Brander, M., Mollah, M. T., Pokkalla, D. K., Kumar, V. & Spangenberg, J. (2024).
Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing.
Additive Manufacturing,
92, Artikel 104396.
https://doi.org/10.1016/j.addma.2024.104396
Wang, C., Cong, D., Tang, G., Zhou, X.
& Li, J. (2024).
Improving thermoelectric properties in double half-Heusler M8FexNi8−xSb8 (M = TiZrHfNb)-InSb compounds via synergistic multiscale defects and high-mobility carrier injection.
Chemical Engineering Journal,
496, Artikel 154313.
https://doi.org/10.1016/j.cej.2024.154313
Formentini, G., Martiny, T. A.
, Møller, C., Vernica, T. & Ramanujan, D. (2024).
Assessing the disassembly performance of washing machines through the design for circular disassembly methodology.
Proceedings of the Design Society ,
4, 1249-1258.
https://doi.org/10.1017/pds.2024.127
Subasic, M., Ireland, A.
, Mansour, R., Enblom, P., Krakhmalev, P., Åsberg, M., Fazi, A., Gårdstam, J., Shipley, J., Waernqvist, P., Forssgren, B. & Efsing, P. (2024).
Experimental investigation and numerical modelling of the cyclic plasticity and fatigue behavior of additively manufactured 316 L stainless steel.
International Journal of Plasticity,
176, Artikel 103966.
https://doi.org/10.1016/j.ijplas.2024.103966
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
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
Karupppasamy, S., Singh, S., Ćuković, S., Sandhu, K., Meixner, G. & Petruse, R. E. (red.) (2024).
Smart VR/AR/MR Systems for Professionals. CRC Press.
Frandsen, L. N., Kristensen, C. K., Haahr-Lillevang, L., Klingaa, C. G., Mohanty, S.
& Pedersen, M. M. (2023).
A method for developing predictive models of quality metrics and gas flow variables for 316L PBF-LB/M printed components based on image analysis. I C. Nisbet, D. Phillips & O. Riemer (red.),
European Society for Precision Engineering and Nanotechnology, Conference Proceedings: Copenhagen 2023 (s. 115-118). Euspen.
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
Alzweighi, M., Tryding, J.
, Mansour, R., Borgqvist, E. & Kulachenko, A. (2023).
Anisotropic damage behavior in fiber-based materials: Modeling and experimental validation.
Journal of the Mechanics and Physics of Solids,
181, Artikel 105430.
https://doi.org/10.1016/j.jmps.2023.105430
Böttjer, T., Tola, D., Kakavandi, F., Wewer, C. R., Ramanujan, D., Gomes, C., Larsen, P. G. & Iosifidis, A. (2023).
A review of unit level digital twin applications in the manufacturing industry.
CIRP Journal of Manufacturing Science and Technology,
45, 162-189.
https://doi.org/10.1016/j.cirpj.2023.06.011
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
Srinivasan, V., Song, B., Luo, J.
, Karupppasamy, S., Elara Mohan, R., Blessing, L. & Wood, K. (2023).
Do Analogies and Analogical Distance Influence Ideation Outcomes in Engineering Design? I S. Mukherjee, V. Dutt & N. Srinivasan (red.),
Applied Cognitive Science and Technology: Implications of Interactions Between Human Cognition and Technology (s. 211–230). Springer.
https://doi.org/10.1007/978-981-99-3966-4_13
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
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
Feng, H., Gomes, C., Sandberg, M., Macedo, H. D. & Larsen, P. G. (2022).
Under What Conditions Does a Digital Shadow Track a Periodic Linear Physical System? I A. Cerone, M. Autili, A. Bucaioni, C. Gomes, P. Graziani, M. Palmieri, M. Temperini & G. Venture (red.),
Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Revised Selected Papers (s. 143-155). Springer.
https://doi.org/10.1007/978-3-031-12429-7_11
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
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
Feng, H., Gomes, C., Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Larsen, P. G. & Sandberg, M. (2022).
Integration Of The Mape-K Loop In Digital Twins. I C. R. Martin, N. Emami, M. J. Blas & R. Rezaee (red.),
Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM (s. 102-113). IEEE.
https://doi.org/10.23919/ANNSIM55834.2022.9859489
Zambrano, V., Mueller-Roemer, J.
, Sandberg, M., Talasila, P., Zanin, D.
, Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022).
Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms.
Array,
14, Artikel 100176.
https://doi.org/10.1016/j.array.2022.100176