Additive Manufacturing in Construction
AMC TRR 277

M. Sc. Virama Ekanayaka

Current location: TU Braunschweig
Institute: Institute of Machine Tools and Production Technology
OrcidiD: 0000-0003-3949-0310

v.ekanayaka@tu-braunschweig.de

is a doctoral researcher at the IWF. He will be developing finite element models to be used in additive manufacturing. He will lead the implementation of mathematical approaches for model order reduction and work on system sensorization. He will frequently publish the results achieved within the community.

Project(s)

Project B 04

Process Control and Adaptive Path Planning for Additive Manufacturing Processes Based on Industrial Robots with an Extended Degree of Freedom

Publications

2024 | L. Lachmayer, T. Recker, V. Ekanayaka, A. Hürkamp, A. Raatz: Multi-model based additive manufacturing: A framework for automated large-scale 3D concrete printing with industrial robots, Proceedings of 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), https://doi.org/10.1109/CASE59546.2024.10711326

2023 |A. Hürkamp, V. Ekanayaka: A novel surrogate modelling approach for additive manufacturing processes in: PAMM  (2023)

2023 |V. Ekanayaka, A. Hürkamp: Modeling of additive manufacturing processes with time-dependent material properties using physics-informed neural networks. In: PAMM (2023)

2022 | Ekanayaka, V.; Hürkamp, A. :  Implementation of a surrogate model for a novel path-based finite element simulation for additive manufacturing processes in construction. In: PAMM.  (2022.)


2022 | Ekanayaka, V.; Lachmayer, L.; Raatz, A; Hürkamp, A.: Approach to optimize the interlayer waiting time in additive manufacturing with concrete utilizing FEM modeling. In: Procedia CIRP Design, 2022
https://doi.org/10.1016/j.procir.2022.05.295

2021 | Lachmayer, L.; Ekanayaka, V.; Hürkamp, A.; Raatz, A.: Approach to an optimized printing path for additive manufacturing in construction utilizing FEM modeling. In: Procedia CIRP CMS, 2021.

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