Suited for performance: Fast full-scale replication of athlete with FDM

Joris van Tubergen, Jouke Verlinden, Mathijs Stroober, Ruben Baldewsing

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

During the big Tour de France time trial on the 15th of July 2016, Tom Dumoulin was cycling in a new suit, developed jointly by Team Giant-Alpecin and TU Delft. [TUDelft 2016] The drag of different suits was optimized in the Delft wind tunnel. However, as one can't place a professional cyclist in a wind tunnel for weeks on end. For this, a 3D printed mannequin with the exact same physical measurements was made. An essential benefit using an exact replica in the wind tunnel is that it remains perfectly still, making the measurements of the airflows around the body much quicker and more accurate. Additive manufacturing was not chosen as easiest option, it lead to a collection of research opportunities. The process includes scanning, 3D segmenting, printing strategy and printing, assembling and testing. The complete process wasdone in less then 2,5 months.

Original languageEnglish
Title of host publicationSCF'17 Proceedings of the 1st Annual ACM Symposium on Computational Fabrication
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1-2
Number of pages2
ISBN (Electronic)978-1-4503-4999-4
DOIs
Publication statusPublished - 2017
Event1st Annual ACM Symposium on Computational Fabrication, SCF 2017 - Cambridge, United States
Duration: 12 Jun 201713 Jun 2017

Conference

Conference1st Annual ACM Symposium on Computational Fabrication, SCF 2017
CountryUnited States
CityCambridge
Period12/06/1713/06/17

Keywords

  • 3D print
  • 3D scan
  • FDM
  • FFF
  • PIV
  • Segmenting
  • Slicing
  • Wind tunnel

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  • Cite this

    van Tubergen, J., Verlinden, J., Stroober, M., & Baldewsing, R. (2017). Suited for performance: Fast full-scale replication of athlete with FDM. In SCF'17 Proceedings of the 1st Annual ACM Symposium on Computational Fabrication (pp. 1-2). [a17] Association for Computing Machinery (ACM). https://doi.org/10.1145/3083157.3092888