Aleksandar Subic

TL;DR: Shape memory alloys (SMAs) are a class of shape memory materials (SMMs) which have the ability to "memorise" or retain their previous form when subjected to certain stimulus such as thermomechanical or magnetic variations.

TL;DR: In this paper, an adaptive unscented Kalman filter (UKF) with noise statistic estimator is proposed to overcome the limitation of the standard UKF, which is dependent on the accurate statistical characterizations of system noise.

TL;DR: A brief review of the recent progress and development in optimising shape memory alloy linear actuators with different design methods, techniques and/or approaches is presented and discussed in this article, where the authors further emphasise that these limitations may be improved or even resolved with proper design approaches and techniques; thus, the functionality and the reliability of Shape Memory Alloy actuators could be realised and optimised.

TL;DR: In this paper, the effects of physical attributes of suitable knitted fabrics on the amount of pressure generated on the underlying body were investigated, where the authors aim to predict the magnitude of pressure applied to a cylindrical body of known radius by generating specific amounts of tension to an external fabric cover.

TL;DR: The SMA attributes that make them ideally suited as actuators in automotive applications are described and to address their limitations, feasibilities and prospects.