Lattice materials gained interest recently in designing lightweight and strong engineering components because their complex structure can be fabricated with the recent advancements in additive manufacturing (AM) techniques. Topology optimization is also a very useful approach to design lightweight structures including lattice materials. However, there are certain issues to be considered for computational design of lattice-based components such as inaccurate predictions of reality due to the uncertainties introduced by the AM processes and increased complexity of the computational models in the analysis and topology optimization. In this talk, recent advances in the design of lattice materials for additive manufacturing and topology optimization will be presented and discussed. A multi-level upscaling and validation framework, which is established to enable accurate estimation of the performance of AM-fabricated lattice materials under uncertainties, will be introduced. Furthermore, the use of deep learning techniques to efficiently consider the uncertainties in computational models as well as mitigate the computational burden in the topology optimization will be presented.
Recep Muhammet Gorguluarslan received his B.Sc. degree in Mechanical Engineering from the TOBB University of Economics and Technology, Ankara, Turkey, in 2010. He received his Ph.D. degree from Mechanical Engineering at the Georgia Institute of Technology in 2016 with a Fulbright scholarship and worked as a post-doctoral researcher in the same department in 2017. The central theme of his Ph.D. research was about the multi-level computational analysis and design of lattice materials including efficient quantification of uncertainties introduced by additive manufacturing. He also worked at Toyota Research Institute North America as a research engineer for two summer semesters during his Ph.D. in the development of a lattice structure design optimization process for additive manufacturing. He joined at the Mechanical Engineering Department of TOBB University in Turkey as an Assistant Professor in 2018. He has been working as an Associate Professor at the same department since 2022. His research interests include computational mechanics, topology optimization, design for additive manufacturing, lattice materials, uncertainty quantification, multiscale modeling, and deep learning.
Mechanical Engineering Department, TOBB University