An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
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This paper presents the development of an SLS 3D-printed auxetic structure actuated to a predefined form by an embedded pneumatic network through an iterative process of feedback between digital simulation and physical testing. This feedback process is critical to the development of a more accurate predictive model and to compose the geometry of the suggested structure. An approach based on the emergence of final structure from the convergence of the behavior of sub--structures has been introduced from the beginning and a methodology based on the analysis and synthesis of the simplest sub-system is the core of this research. The results indicate a promising simulation environment and a novel methodology for the design and fabrication of auxetic structures with embedded pneumatic actuation. This exploratory research suggests a fertile research space within the field of adaptive architecture and kinetic design.