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The application of shape theories to geometric modelling and variability characterization are paving the way to shape engineering and more generic methods for reverse engineering.
There are many innovative ideas for the application of shape memory alloys and, in general, shape memory materials, and the number of assessed products is growing.
In this study, we conduct a meta analysis on one such study exploring the design principle Most Advanced, Yet Acceptable and demonstrate the application of shape comparison tools in relating the sweet-spot in terms of changes in product shape.
This chapter discusses the application of shape memory materials, with emphasis on Shape Memory Polymer (SMP), to textiles such that the fabrics will interact with the change of environment.
In order to highlight special features of this procedure and without loss of generality, we focus our attention in the application of shape sensitivity analysis to the problem of twisted straight bars within the framework of linear elasticity.
We demonstrate the application of shape matching algorithms to a variety of example problems, for topics including local and global structure identification and classification, automated phase diagram mapping, and the construction of spatial and temporal correlation functions.
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This task can be tackled with an approach combining the matching blunder detection scheme and the application of shape-from-shading technique.
Shape memory polymer composites (SMPCs) have further enhanced and broadened the applications of shape memory polymers.
After introducing their remarkable thermal mechanical properties, this chapter investigates the key aspects of synthesizing, manufacturing and programming SMP yarns, and goes on to consider how to expand the applications of shape memory polymers to other fields.
Experiments in this study show that a variety of hull shapes can be generated using the proposed design framework with the application of the shape operators.
Our results have direct implications for the application of the shape memory effect in nanoscale NiTi devices.
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