ASMADA—A tool for automatic analysis of shape memory alloy thermal cycling data under constant stress

Thursday, May 19, 2022: 2:45 PM
Carlsbad A&B (Westin Carlsbad Resort)
Mr. Matthew Kuner , Texas A&M University, College Station, TX
Dr. Anargyros Karakalas , Texas A&M University, College Station, TX
Dr. Dimitris C. Lagoudas , Texas A&M University, College Station, TX
The authors present the Automatic Shape Memory Alloy Data Analyzer (ASMADA), a tool capable of automatically processing Shape Memory Alloy thermal cycling data acquired under constant stress. ASMADA is compliant with relevant ASTM standards and calculates twenty-three (23) material properties/parameters for each cycle at speeds ranging from 5–35 cycles/second. A graphical user interface is provided to make the tool readily accessible and easy to navigate. This tool was developed in Python and is publicly available at:https://github.com/matthewkuner/ASMADA/find/main. This was originally published in October 2021 in the journal Smart Materials and Structures (Kuner et al. Smart Mater. Struct. 30 125003).