Multi-stimulus self-sensing software driver based on shape memory, and preparation method and application thereof

• Main Authors: LUO HONGSHENG, ZHOU HUANKAI, WU SHAOYING, YAO YANGRONG, YI GUOBIN, YANG JIYUAN, CHEN MINGXI
• Format: Patent
• Language: Chinese; English
• Published: 13.12.2019
• Subjects: FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; LAUNDERING; MEASURING; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS; MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS; PHYSICS; TESTING; TEXTILES; TREATMENT OF TEXTILES OR THE LIKE; TREATMENT, NOT PROVIDED FOR ELSEWHERE IN CLASS D06, OF FIBRES, THREADS, YARNS,FABRICS, FEATHERS, OR FIBROUS GOODS MADE FROM SUCH MATERIALS

The invention belongs to the technical field of flexible driving and sensing, and discloses a multi-stimulus self-sensing software driver based on shape memory, and a preparation method and application thereof. The self-sensing software driver is prepared by dissolving a shape memory polymer in an organic solvent, taking the above solution for electrostatic spinning, drying the obtained product toobtain a non-woven fabric of the shape memory polymer, dispersing a nano-conductive material in a dispersant for ultrasonic treatment to obtain a dispersion, and immersing the non-woven fabric of shape memory polymer in the dispersion for ultrasonic treatment; or sonicating the nano-conductive material on the non-woven fabric of shape memory polymer, washing with deionized water, and drying to obtain the product. The self-sensing software driver of the invention has a self-sensing function while responding to external stimuli, and records the deformation driving recovery process in real timethrough changes in electri