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Mr Seokwoo Nam
PhD Student

Summary

Academic Background

Seokwoo Nam is a Ph.D. candidate from the Design Department at Brunel University London. His research topic is “ Programming 4D Printed Parts through Shape-Memory Polymers and Computer-Aided-Design”. He received his MSc in Integrated Product Design from Brunel University London.

Research questions

  • What is the state of 4D printing using shape memory polymers? 
  • What AM processes are suitable to utilize shape memory polymers to achieve 4DP? 
  • What types of shape changes can be achieved using 4DP SMPs?
  • How can the shape change be influenced through CAD design?
  • What is the relationship between the external stimuli and the shape change effect?
  • How can 4DP be applied for flat packing purpose within product design?

Research Outline

His PhD course describes to provide a design direction which can predict effect of shape change especially bending and folding though appropriate CAD design through collective review of the transformation of 4D Printed parts that can be achieved using Shape Memory Polymers (SMPs). It can make more closed specific result by reducing time and profit. It can apply which design modeling of CAD is effectively for various methods of shape change. Such as applying various printing patterns, methods of building process and constructs layer also effects count of materials. Using 4D Printing, flat-packed structures can be printed and activated by external stimuli to transform into fully-deployed functional structures. In the programming stage, designers and engineers need to understand and implement strategies using Computer-Aided-Design (CAD) to control the shape change effect of 4D printed parts.His PhD research expected will be a framework to serve as a guideline for designing 4DP parts. This research aims to investigate how Shape Memory Polymers (SMPs) can be programmed through the intelligent design of features within the component. His initial finding is using a taxonomy of shape-changing behaviours that can be categorized according to basic, complex and combined behaviours.