Prof. Dr.-Ing. habil. Roland Wüchner

Project leader

Current location: TU München

Institute:

Institute of Structural Analysis (ISD)

OrcidiD: 0000-0002-5411-9715

is Professor of Statics and Dynamics at the Technical University of Munich. He is project leader of C02 – 3D Structural Puzzle – Numerical Multiscale Shape and Topology Optimisation Methods for the Additive Manufacturing of Optimal Structures from Optimised Parts and further develops the existing methods of the Continuum-based Optimisation Approach (COA) within his research group.

2024 | M. Meßmer, R. Najian, S. Kollmannsberger, R. Wüchner, K.U. Bletzinger: Shape optimization of embedded solids using implicit Vertex-Morphing, Computer Methods in Applied Mechanics and Engineering, Volume 426, 2024, 116999, ISSN 0045-7825

https://doi.org/10.1016/j.cma.2024.116999

2024 | M. Meßmer, S. Kollmannsberger, R. Wüchner, K.U. Bletzinger: Robust numerical integration of embedded solids described in boundary representation Computer Methods in Applied Mechanics and Engineering, Volume 419, 2024, https://doi.org/10.1016/j.cma.2023.116670.

Data |Quadrature for Embedded Solids – QuESo, GitHub, 2024, https://github.com/manuelmessmer/QuESo.

2023 | A. Ghantasala, J. Diller, A. Geiser, D. Wenzler, D. Siebert, C. Radlbeck, R. Wüchner, M. Mensinger, K.U. Bletzinger: Node-Based Shape Optimization and Mechanical Test Validation of Complex Metal Components and Support Structures, Manufactured by Laser Powder Bed Fusion. In: Trzcielinski, S., Mrugalska, B., Karwowski, W., Rossi, E., Di Nicolantonio, M. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2021. Lecture Notes in Networks and Systems, vol 274. Springer, Cham.
https://doi.org/10.1007/978-3-030-80462-6_2

2021 | Ghantasala, A.; Diller, J.; Geiser, A.; Wenzler, D.; Siebert, D.; Radlbeck, C.; Wüchner, R.; Mensinger, M.; Bletzinger, K.U.: Node-Based Shape Optimization and Mechanical Test Validation of Complex Metal Components and Support Structures, Manufactured by Laser Powder Bed Fusion. In: Advances in Manufacturing, Production Management and Process Control. AHFE 2021; Lecture Notes in Networks and Systems, vol 274. Springer, Cham. – DOI: https://doi.org/10.1007/978-3-030-80462-6_2.