Reconfigurable Tan Delta in shape memory hybrids: a new approach for tunable damping
Year: 2025
Type: article
Abstract: This study investigates the programmability of Tan Delta in shape memory hybrids (SMHs) through controlled shape memory cycles. The SMH samples were subjected to varying pre-strains (20 %, 40 %, and 50 %) to examine their impact on Tan Delta. Dynamic mechanical analysis (DMA) at 1 Hz and 10 Hz was performed on strip specimens cut at different angles from the programmed samples. The results indicate that pre-strain significantly affects viscoelastic properties, with Tan Delta increasing after programming and reducing upon shape recovery. The highest Tan Delta values were observed at a pre-strain of 20 % and an oscillation angle of 60°. This study demonstrates the reprogrammability of Tan Delta in SMHs via pre-strain and oscillation angle control, providing a new approach for designing tunable damping materials.
Source: Materials Letters
Authors: Tao Xi Wang, Jun Wei Nicholas Law, Ai Bing Zhang, Qian Er Angelyn Kwek, Zhen Ding, Wei Min Huang
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,870
OpenAlex ID: W4410083930
