Browsing by Author "Yuan, Philip"

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    Cooking Objects: Bio-Digital Material Driven Design Methodology
    (2020) Vivanco Larraín, Tomás; Yuan, Philip
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    Regression-Based Inductive Reconstruction of Shell Auxetic Structures
    (2023) Vivanco Larraín, Tomas; Ojeda Valenzuela, Juan Eduardo; Yuan, Philip; Pontificia Universidad Católica de Chile. Escuela de Diseño; Tongji University; Technical University Darmstadt
    This article presents the design process for generating a shell-like structure from an activated bent auxetic surface through an inductive process based on applying deep learning algorithms to predict a numeric value of geometrical features. The process developed under the Material Intelligence Workflow applied to the development of (1) a computational simulation of the mechanical and physical behaviour of an activated auxetic surface, (2) the generation of a geometrical dataset composed of six geometric features with 3,000 values each, (3) the construction and training of a regression Deep Neuronal Network (DNN) model, (4) the prediction of the geometric feature of the auxetic surface's pattern distance, and (5) the reconstruction of a new shell based on the predicted value. This process consistently reduces the computational power and simulation time to produce digital prototypes by integrating AI-based algorithms into material computation design processes.