ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2A1-H08
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パラメトリックデザインに基づく3Dプリント麺の新食感探索システムの提案
*鈴木 悠人小川 純古川 英光
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In this study, we employ parametric design and a 3D food printer to innovate in the exploration of new food textures. By manipulating parameters such as the thickness and shape of noodles, we can create unique 3D printed noodle designs. The texture of these noodles is then learned through an oral cavity-mimicking piezoelectric sensing device, facilitating the discovery of novel textures. This approach merges advanced manufacturing techniques with sensory analysis, offering a new pathway for culinary innovation. By precisely controlling noodle parameters, we unlock a wide array of textures previously unattainable in traditional food preparation methods. This research aims to broaden the spectrum of food textures available, enhancing the culinary experience through technology and design

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