Understanding uncertainty in measurement and accommodating its impact in 3D modeling and printing

Jeeeun Kim, Anhong Guo, Tom Yeh, Scott E. Hudson, Jennifer Mankoff

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

37 Scopus citations

Abstract

The growing accessibility of 3D printing to everyday users has led to rapid adoption, sharing of 3D models on sites such as Thingiverse.com, and visions of a future in which customization is a norm and 3D printing can solve a variety of real world problems. However, in practice, creating models is difficult and many end users simply print models created by others. In this article, we explore a specific area of model design that is a challenge for end users - measurement. When a model must conform to a specific real world goal once printed, it is important that that goal is precisely specified. We demonstrate that measurement errors are a significant (yet often overlooked) challenge for end users through a systematic study of the sources and types of measurement errors. We argue for a new design principle-accommodating measurement error-that designers as well as novice modelers should to use at design time. We offer two strategies-buffer insertion and replacement of minimal parts- to help designers, as well as novice modelers, to build models that are robust to measurement error. We argue that these strategies can reduce the need for and costs of iteration and demonstrate their use in a series of printed objects.

Original languageEnglish
Title of host publicationDIS 2017 - Proceedings of the 2017 ACM Conference on Designing Interactive Systems
PublisherAssociation for Computing Machinery, Inc
Pages1067-1078
Number of pages12
ISBN (Electronic)9781450349222
DOIs
StatePublished - 10 Jun 2017
Event12th ACM Conference on Designing Interactive Systems, DIS 2017 - Edinburgh, United Kingdom
Duration: 10 Jun 201714 Jun 2017

Publication series

NameDIS 2017 - Proceedings of the 2017 ACM Conference on Designing Interactive Systems

Conference

Conference12th ACM Conference on Designing Interactive Systems, DIS 2017
Country/TerritoryUnited Kingdom
CityEdinburgh
Period10/06/1714/06/17

Bibliographical note

Publisher Copyright:
Copyright © 2017 ACM.

Keywords

  • 3D printing
  • Measurement
  • Personal fabrication
  • Uncertainty

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