Characterizing surface defects in additively manufactured components using smart-phone imaging

Mustafa Rifat, Amol Kulkarni, Saurabh Basu

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

Abstract

Surface defects can be extremely detrimental to performance of fabricated components due to strain concentrations that are known to shorten life due to wear, fatigue, and corrosion. Unfortunately, surface defects are challenging to characterize due to their small size and require advanced equipment such as white-light interferometers. This is not a viable approach when high throughput is of the essence. The present work shows a novel methodology of characterizing surface defects. The method relies on optical imaging of components and characterizing gradients in surface velocities that result from topographical undulations. These gradients naturally arise due to foreshortening, i.e. parallax and can also be artificially introduced to amplify visibility of surface gradients by rigid body rotation. The present work attempts to calibrate these effects using scalable smart-phone imaging as well as advanced optical imaging. Applications on additively manufactured materials are shown. Analytically obtained process limitations are discussed.

Original languageEnglish (US)
Title of host publicationMaterials Science and Technology 2018, MS and T 2018
PublisherAssociation for Iron and Steel Technology, AISTECH
Pages149-156
Number of pages8
ISBN (Electronic)0873397681, 9780873397681
DOIs
StatePublished - Jan 1 2018
EventMaterials Science and Technology 2018, MS and T 2018 - Columbus, United States
Duration: Oct 14 2018Oct 18 2018

Publication series

NameMaterials Science and Technology 2018, MS and T 2018

Other

OtherMaterials Science and Technology 2018, MS and T 2018
CountryUnited States
CityColumbus
Period10/14/1810/18/18

Fingerprint

Surface defects
Imaging techniques
Visibility
Interferometers
Throughput
Wear of materials
Fatigue of materials
Corrosion

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Mechanics of Materials
  • Materials Science (miscellaneous)

Cite this

Rifat, M., Kulkarni, A., & Basu, S. (2018). Characterizing surface defects in additively manufactured components using smart-phone imaging. In Materials Science and Technology 2018, MS and T 2018 (pp. 149-156). (Materials Science and Technology 2018, MS and T 2018). Association for Iron and Steel Technology, AISTECH. https://doi.org/10.7449/2018/MST_2018_149_156
Rifat, Mustafa ; Kulkarni, Amol ; Basu, Saurabh. / Characterizing surface defects in additively manufactured components using smart-phone imaging. Materials Science and Technology 2018, MS and T 2018. Association for Iron and Steel Technology, AISTECH, 2018. pp. 149-156 (Materials Science and Technology 2018, MS and T 2018).
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Rifat, M, Kulkarni, A & Basu, S 2018, Characterizing surface defects in additively manufactured components using smart-phone imaging. in Materials Science and Technology 2018, MS and T 2018. Materials Science and Technology 2018, MS and T 2018, Association for Iron and Steel Technology, AISTECH, pp. 149-156, Materials Science and Technology 2018, MS and T 2018, Columbus, United States, 10/14/18. https://doi.org/10.7449/2018/MST_2018_149_156

Characterizing surface defects in additively manufactured components using smart-phone imaging. / Rifat, Mustafa; Kulkarni, Amol; Basu, Saurabh.

Materials Science and Technology 2018, MS and T 2018. Association for Iron and Steel Technology, AISTECH, 2018. p. 149-156 (Materials Science and Technology 2018, MS and T 2018).

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

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Rifat M, Kulkarni A, Basu S. Characterizing surface defects in additively manufactured components using smart-phone imaging. In Materials Science and Technology 2018, MS and T 2018. Association for Iron and Steel Technology, AISTECH. 2018. p. 149-156. (Materials Science and Technology 2018, MS and T 2018). https://doi.org/10.7449/2018/MST_2018_149_156