BlowFab: Rapid prototyping for rigid and reusable objects using inflation of laser-cut surfaces

Junichi Yamaoka, Ryuma Niiyama, Yasuaki Kakehi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This study proposes BlowFab, a prototyping method used to create a 2.5-dimensional prototype in a short time by combining laser cutting and blow molding techniques. The user creates adhesive areas and inflatable areas by engraving and cutting multilayered plastic sheets using a laser cutter. These adhesive areas are fused automatically by overlapping two crafted sheets and softening them with a heater. The user can then create hard prototypes by injecting air into the sheets. Objects can be bent in any direction by cutting incisions or engraving a resistant resin. The user can create uneven textures by engraving a pattern with a heat-resistant film. These techniques can be used for prototyping various strong inflatable objects. The finished prototype is strong and can be collapsed readily for storage when not required. In this study, the design process is described using the proposed method. The study also evaluates possible bending mechanisms and texture expression methods along with various usage scenarios and discusses the resolution, strength, and reusability of the prototype developed.

Original languageEnglish
Title of host publicationUIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages461-469
Number of pages9
ISBN (Electronic)9781450349819
DOIs
Publication statusPublished - 2017 Oct 20
Event30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 - Quebec City, Canada
Duration: 2017 Oct 222017 Oct 25

Other

Other30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017
CountryCanada
CityQuebec City
Period17/10/2217/10/25

Fingerprint

Rapid prototyping
Lasers
Adhesives
Textures
Plastic sheets
Reusability
Blow molding
Resins
Air

Keywords

  • Creativity support
  • Fabrication
  • Prototyping/implementation
  • Smart materials

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Yamaoka, J., Niiyama, R., & Kakehi, Y. (2017). BlowFab: Rapid prototyping for rigid and reusable objects using inflation of laser-cut surfaces. In UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (pp. 461-469). Association for Computing Machinery, Inc. https://doi.org/10.1145/3126594.3126624

BlowFab : Rapid prototyping for rigid and reusable objects using inflation of laser-cut surfaces. / Yamaoka, Junichi; Niiyama, Ryuma; Kakehi, Yasuaki.

UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2017. p. 461-469.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yamaoka, J, Niiyama, R & Kakehi, Y 2017, BlowFab: Rapid prototyping for rigid and reusable objects using inflation of laser-cut surfaces. in UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, pp. 461-469, 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017, Quebec City, Canada, 17/10/22. https://doi.org/10.1145/3126594.3126624
Yamaoka J, Niiyama R, Kakehi Y. BlowFab: Rapid prototyping for rigid and reusable objects using inflation of laser-cut surfaces. In UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2017. p. 461-469 https://doi.org/10.1145/3126594.3126624
Yamaoka, Junichi ; Niiyama, Ryuma ; Kakehi, Yasuaki. / BlowFab : Rapid prototyping for rigid and reusable objects using inflation of laser-cut surfaces. UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2017. pp. 461-469
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