Dr. Kaiyang Yin

Project

SCHARF: Skalenübergreifende Charaktierisierung robuster funktionaler Materialsysteme (scale-bridging characterization of robust functional materials systems)
Programmable mechanical metamaterials process information such as strain and stress through a series of logic steps. This produces a tangible change in their macroscopic mechanical properties. A basis for the logical functions is the design of mesoscopic structures across several hierarchical levels. In my research, I investigate mechanical mechanisms and develop mesostructure designs that are optimized for metal and polymer materials systems with varying mechanical properties (stiffness, elasticity) and manufacturing processes.

First Supervisor

Prof. Chris Eberl

Publications in livMatS

• Manufacturing size effect on the structural and mechanical properties of additively manufactured Ti-6Al-4V microbeams*
  Yin, K., Cao, B., Todt, J., Gutmann, F., Tunçay, H. F., Roth, A., Fischer, F., Grübel, N., Pfaff, A., Ganzenmüller, G., Keckes, J., Hiermaier, S. & Eberl, C. (2023). Manufacturing size effect on the structural and mechanical properties of additively manufactured Ti-6Al-4V microbeams. Journal of Materials Science & Technology, 149, 18-30. doi: 10.1016/j.jmst.2022.12.006
• Curly beam with programmable bistability
  Ghavidelnia, N., Yin, K., Cao, B., & Eberl, C. (2023). Curly beam with programmable bistability. Materials & Design, 230, 111988. doi: 10.1016/j.matdes.2023.111988.
• Bamboo-inspired tubular scaffolds with functional gradients*
  Yin, K., Mylo, M. D., Speck, T., & Wegst, U. G. (2020). Bamboo-inspired tubular scaffolds with functional gradients. Journal of the Mechanical Behavior of Biomedical Materials, 103826. doi: 10.1016/j.jmbbm.2020.103826
• 2D and 3D graphical datasets for bamboo-inspired tubular scaffolds with functional gradients: micrographs and tomograms*
  Yin, K., Mylo, M. D., Speck, T., & Wegst, U. G. (2020). 2D and 3D graphical datasets for bamboo-inspired tubular scaffolds with functional gradients: micrographs and tomograms. Data in Brief, 31, 105870. doi: 10.1016/j.dib.2020.105870
  
  
  * Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC-2193/1 – 390951807