ISBN 9783843948807

978-3-8439-4880-7, Reihe Ingenieurwissenschaften

Md Moniruddoza Ashir
Development of innovative textile-based adaptive fiber-reinforced plastics with shape memory alloys

205 Seiten, Dissertation Technische Universität Dresden (2020), Softcover, B5

Zusammenfassung / Abstract

Fiber-reinforced plastics (FRP) are increasingly being used in moving components due to their high specific stiffnesses and strengths in addition to the ability for specifically tailored properties. Current developments display a trend towards kinematic systems, which are employed in mechanical engineering, especially in textile machinery, as well as in logistics, automation technology and automotive engineering, where their low mass makes FRP a particularly suitable material. With the increasing application of kinematic systems, there is also a growing demand for simple, weight-saving and cost-effective solutions for special kinematics that can generate requirement-specific movements and forces based on energy- and material-efficient actuator principles, taking into account the lightweight design concept. In this dissertation, alternative approaches in terms of innovative textile-based adaptive FRP with structurally integrated shape memory alloys are designed, implemented, tested and evaluated in comparison with conventional technical solutions. Therefore, a multitude of previously unsolved conceptual as well as textile- and material-specific issues had to be addressed and analyzed in depth. They include the development of novel approaches and technological solutions both for the reproducible setting of a suitable boundary layer between the shape memory alloy in wire form and the surrounding fiber composite material and for the fully automatic integration of the textile-processable actuator into the textile reinforcement structure. Further objectives involved the determination of structure-function property relationships, the demonstration of functional long-term stability and the conceptualization and testing of industry-relevant functional demonstrators.