Reversible surface patterns for future autonomous cars

With the rapid advancement in technology, shape memory processes are often applied to the design and fabrications of parts. Shape memory of materials that allow reversible patterning characteristics are increasingly applied commercially. With an increase in demand for the need of shape memory materi...

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Bibliographic Details
Main Author: Phang, Victor Wei Da
Other Authors: Huang Weimin
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68017
Description
Summary:With the rapid advancement in technology, shape memory processes are often applied to the design and fabrications of parts. Shape memory of materials that allow reversible patterning characteristics are increasingly applied commercially. With an increase in demand for the need of shape memory materials, research and efforts are being invested into exploring the advantages of shape memory effect and reversible surface patterning. The first part of the study aim to apply the knowledge of reversible patterning characteristics of shape memory alloys to design and fabricate a prototype. The study extent to determine the temperature and time required for the forward and reverse shape memory effects of the shape memory alloys. This is highly essential in determining the suitability of application of the processes in the industry required. The second part of the study aim to apply the concept of shape recovery of shape memory polymers of Thermoplastic Polyurethane (TPU-265) and Acrylonitrile butadiene styrene (ABS). Different compositions of TPU-265 and ABS were mixed together and their shape recovery ratios were being experimented. The study extent to identify if the ‘frozen in’ effect of shape memory polymers exist in the case of the differing composition of polymers. Addition of ABS to TPU-265 is essential to alter the quality of the overall polymers such as glass transition temperature while retaining its shape memory characteristic, serving as a demand for industries.