Scalable detection of defects in additively manufactured PLA components

Amol Kulkarni, Amey Vidvans, Mustafa Rifat, Gregory Bicknell, Xi Gong, Guha Manogharan, Janis Terpenny, Saurabh Basu

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

Abstract

The present work delineates a novel and scalable approach to characterization of defects in additively manufactured components. The approach is based on digital image correlation and involves characterization of surface speeds during rigid body rotation of the workpiece, followed by normalization with respect to rotation speed. Towards this, two different imaging sources were tested, viz. smartphone camera and sophisticated high-resolution/high-speed camera. The proposed approach successfully delineated horizontal and vertical notch defects in a simple FDM fabricated component. Accuracy of this approach was tested with concomitant laser based scanning. Some limitations of this approach were discussed.

Original languageEnglish (US)
Title of host publicationAdditive Manufacturing; Bio and Sustainable Manufacturing
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9780791851357
DOIs
StatePublished - Jan 1 2018
EventASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018 - College Station, United States
Duration: Jun 18 2018Jun 22 2018

Publication series

NameASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
Volume1

Other

OtherASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
CountryUnited States
CityCollege Station
Period6/18/186/22/18

Fingerprint

Frequency division multiplexing
Defects
Smartphones
High speed cameras
Cameras
Scanning
Imaging techniques
Lasers

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Kulkarni, A., Vidvans, A., Rifat, M., Bicknell, G., Gong, X., Manogharan, G., ... Basu, S. (2018). Scalable detection of defects in additively manufactured PLA components. In Additive Manufacturing; Bio and Sustainable Manufacturing (ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018; Vol. 1). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/MSEC2018-6623
Kulkarni, Amol ; Vidvans, Amey ; Rifat, Mustafa ; Bicknell, Gregory ; Gong, Xi ; Manogharan, Guha ; Terpenny, Janis ; Basu, Saurabh. / Scalable detection of defects in additively manufactured PLA components. Additive Manufacturing; Bio and Sustainable Manufacturing. American Society of Mechanical Engineers (ASME), 2018. (ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018).
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Kulkarni, A, Vidvans, A, Rifat, M, Bicknell, G, Gong, X, Manogharan, G, Terpenny, J & Basu, S 2018, Scalable detection of defects in additively manufactured PLA components. in Additive Manufacturing; Bio and Sustainable Manufacturing. ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018, vol. 1, American Society of Mechanical Engineers (ASME), ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018, College Station, United States, 6/18/18. https://doi.org/10.1115/MSEC2018-6623

Scalable detection of defects in additively manufactured PLA components. / Kulkarni, Amol; Vidvans, Amey; Rifat, Mustafa; Bicknell, Gregory; Gong, Xi; Manogharan, Guha; Terpenny, Janis; Basu, Saurabh.

Additive Manufacturing; Bio and Sustainable Manufacturing. American Society of Mechanical Engineers (ASME), 2018. (ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018; Vol. 1).

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

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Kulkarni A, Vidvans A, Rifat M, Bicknell G, Gong X, Manogharan G et al. Scalable detection of defects in additively manufactured PLA components. In Additive Manufacturing; Bio and Sustainable Manufacturing. Vol. 1. American Society of Mechanical Engineers (ASME). 2018 https://doi.org/10.1115/MSEC2018-6623