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Training and Validation Data for Self-sensing in SMA Actuator

Citation Author(s):
Krunal Koshiya
Submitted by:
Krunal Koshiya
Last updated:
DOI:
10.21227/jtcm-rx90
Data Format:
No Ratings Yet

Abstract

An experimental setup is developed in which shape memory alloy actuator is working againt a linear tension spring as a bias mechanism. The experimental data is collected via microcontroller-based embedded system for training and validation of a self-sensing approach for a shape memory alloy actuator. The provided dataset includes 'electrical power' in watt that is applied to actuate a spring-biased shape memory alloy actuator. measured 'electrical resistance' in ohm, resulting 'displacement' in mm and 'time' stamps in second.

Instructions:

The provided dataset includes 'electrical power' in watt that is applied to actuate a spring-biased shape memory alloy actuator. measured 'electrical resistance' in ohm, resulting 'displacement' in mm and 'time' stamps in second. The data provided in 'training data' sheet and 'validation data' can be used for training and validation, respectively.