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Computational Fabrication Approach to Extend the Softness Capabilities of 3D Printers

Research Project

Project/Area Number 19K20321
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 61020:Human interface and interaction-related
Research InstitutionOsaka University

Principal Investigator

PUNPONGSANON PARINYA  大阪大学, 基礎工学研究科, 助教 (90812222)

Project Period (FY) 2019-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2019: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywordsデジタルファブリケーション / 3Dプリンター出力 / 柔らかさ・硬さ / 柔らかさ / digital fabrication / 3D printing / human perception / user interface design / 3Dプリンター / 計算論的 / ヒューマンインタフェース / インタラクション
Outline of Research at the Start

Digital fabrication has enabled massive creativity in product design both personal and industrial. The reduction of price and increase of quality of 3D printer enable individual to fabricate every object that meets the personal need. However, these objects often lack the haptic softness desired by users. In this research, I seeking to enable feel variation of haptics 'softness' desired out from a limited number of available materials of 3D printing by leveraging knowledge of advanced materials, human perception, and fabrication techniques.

Outline of Final Research Achievements

We found that in addition to the perception of roughness (note: previous research), the internal structure (when the filling rate is kept constant) and the surface microstructure affect the perception of hardness and softness when output by a 3D printer. However, the results also suggested that the surface microstructure had less influence on the perception of hardness and softness compared to the internal fill rate (e.g., infill ratio). These results were in agreement with perceived roughness and perceived softness when microstructure was manipulated, but not in strong agreement with perceived roughness. Based on these experimental results, we developed a computational model to estimate and predict the perceived softness of 3D printed objects according to their perceived roughness. Finally, we also verified the model with arbitrary parameters using inverse modeling method.

Academic Significance and Societal Importance of the Research Achievements

本研究の成果は、標準的な既製の3Dプリンターに加えて、同じ3Dプリンティング・フィラメントを使用して、知覚される材料特性(例えば、柔らかさや硬さ)を拡張するために使用することができます。したがって、本研究で提案した方法は、必要な柔らかさに応じて微細構造を操作することで、3Dプリンターに必要な代替材料の数を減らすことができます(例えば、数種類の柔らかい材料を印刷する場合など)。また、知覚された柔らかさと粗さの対応関係も示唆されており、今後も様々な研究分野での展開が期待されます。

Report

(3 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • Research Products

    (8 results)

All 2021 2020 2019

All Journal Article (5 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 5 results) Presentation (3 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Investigation of Soft Display using Digital Fabrication and Phase-change Material2021

    • Author(s)
      Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato
    • Journal Title

      2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)

      Volume: 1255 Pages: 510-511

    • DOI

      10.1109/lifetech52111.2021.9391833

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Programmable Filament: Printed Filaments for Multi-material 3D Printing2020

    • Author(s)
      Haruki Takahashi, Parinya Punpongsanon, Jeeeun Kim
    • Journal Title

      The 33rd Annual ACM Symposium on User Interface Software and Technology

      Volume: 0 Pages: 1209-1221

    • DOI

      10.1145/3379337.3415863

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Wearable Sanitizer: Design and Implementation of an Open-source, On-body Sanitizer for a Post-Pandemic2020

    • Author(s)
      Pat Pataranutaporn, Ali Shtarbanov, Glenn Fernandes, Jingwen Li, Parinya Punpongsanon, Joe Paradiso, Pattie Maes
    • Journal Title

      ACM SIGGRAPH Asia 2020: Emerging Technologies (eTech)

      Volume: 0 Pages: 1-2

    • DOI

      10.1145/3415255.3422897

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] FoodFab: Creating Food Perception Illusions using Food 3D Printing2020

    • Author(s)
      Ying-Ju Lin, Parinya Punpongsanon, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller
    • Journal Title

      ACM CHI Conference on Human Factors in Computing Systems 2020

      Volume: 294 Pages: 1-13

    • DOI

      10.1145/3313831.3376421

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Preliminary Study on Surface Texture to Manipulate Perceived Softness of 3D Printed Objects2019

    • Author(s)
      Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato
    • Journal Title

      International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments 2019

      Volume: 1727 Pages: 17-18

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] 双安定性サーモクロミックインクの選択的加熱を用いた造形後に表面色・模様を制御可能な立体物造形手法2021

    • Author(s)
      堀 悠太郎, 平木 剛史, プンポンサノン パリンヤ, 岩井 大輔, 川原 圭博, 佐藤 宏介
    • Organizer
      情報処理学会 インタラクション2021
    • Related Report
      2020 Annual Research Report
  • [Presentation] Demonstration of FoodFab: Creating Food Perceptual Illusions using Food 3D Printing2020

    • Author(s)
      Parinya Punpongsanon, Ying-Ju Lin, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller
    • Organizer
      ACM CHI Conference on Human Factors in Computing Systems 2020
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 3Dプリンタ出力に対して知覚される硬軟度操作のための表面微細形状と内部構造設計2019

    • Author(s)
      三好幹, プンポンサノンパリンヤ, 岩井大輔, 佐藤宏介
    • Organizer
      第63回システム制御情報学会研究発表講演会
    • Related Report
      2019 Research-status Report

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Published: 2019-04-18   Modified: 2023-03-23  

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