Scalable detection of defects in additively manufactured PLA components

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

doi:10.1115/MSEC2018-6623

Scalable detection of defects in additively manufactured PLA components

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	Additive Manufacturing; Bio and Sustainable Manufacturing
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Print)	9780791851357
DOIs	https://doi.org/10.1115/MSEC2018-6623
State	Published - 2018
Event	ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018 - College Station, United States Duration: Jun 18 2018 → Jun 22 2018

Publication series

Name	ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
Volume	1

Other

Other	ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
Country/Territory	United States
City	College Station
Period	6/18/18 → 6/22/18

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1115/MSEC2018-6623

Cite this

Kulkarni, A., Vidvans, A., Rifat, M., Bicknell, G., Gong, X., Manogharan, G., Terpenny, J. P., & 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

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title = "Scalable detection of defects in additively manufactured PLA components",

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.",

author = "Amol Kulkarni and Amey Vidvans and Mustafa Rifat and Gregory Bicknell and Xi Gong and Guha Manogharan and Terpenny, {Janis P.} and Saurabh Basu",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 ASME.; ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018 ; Conference date: 18-06-2018 Through 22-06-2018",

year = "2018",

doi = "10.1115/MSEC2018-6623",

language = "English (US)",

isbn = "9780791851357",

series = "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, JP & 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 et al.
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 proceeding › Conference contribution

TY - GEN

T1 - Scalable detection of defects in additively manufactured PLA components

AU - Kulkarni, Amol

AU - Vidvans, Amey

AU - Rifat, Mustafa

AU - Bicknell, Gregory

AU - Gong, Xi

AU - Manogharan, Guha

AU - Terpenny, Janis P.

AU - Basu, Saurabh

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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T3 - ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018

BT - Additive Manufacturing; Bio and Sustainable Manufacturing

PB - American Society of Mechanical Engineers (ASME)

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Y2 - 18 June 2018 through 22 June 2018

ER -

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. American Society of Mechanical Engineers (ASME). 2018. (ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018). doi: 10.1115/MSEC2018-6623

Scalable detection of defects in additively manufactured PLA components

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