High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing

Amirkoushyar Ziabari; Singanallur Venkatakrishnan; Alex Lisovich; Paul Brackman; Pradeep Bhattad; Ryan Dehoff; Alex Plotkowski; Vincent Paquit

High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing

Amirkoushyar Ziabari, Singanallur Venkatakrishnan, Alex Lisovich, Paul Brackman, Pradeep Bhattad, Ryan Dehoff, Alex Plotkowski, Vincent Paquit

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

1 Scopus citations

Original language	English
Title of host publication	2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing
Publisher	American Society for Precision Engineering, ASPE
Pages	160-164
Number of pages	5
ISBN (Electronic)	9781713859192
State	Published - 2022
Event	2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing - Knoxville, United States Duration: Jul 11 2022 → Jul 14 2022

Publication series

Name	2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing

Conference

Conference	2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing
Country/Territory	United States
City	Knoxville
Period	07/11/22 → 07/14/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Ziabari, A., Venkatakrishnan, S., Lisovich, A., Brackman, P., Bhattad, P., Dehoff, R., Plotkowski, A., & Paquit, V. (2022). High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing. In 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing (pp. 160-164). (2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing). American Society for Precision Engineering, ASPE.

Ziabari, Amirkoushyar ; Venkatakrishnan, Singanallur ; Lisovich, Alex et al. / High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing. 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. American Society for Precision Engineering, ASPE, 2022. pp. 160-164 (2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing).

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title = "High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing",

author = "Amirkoushyar Ziabari and Singanallur Venkatakrishnan and Alex Lisovich and Paul Brackman and Pradeep Bhattad and Ryan Dehoff and Alex Plotkowski and Vincent Paquit",

year = "2022",

language = "English",

series = "2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing",

publisher = "American Society for Precision Engineering, ASPE",

pages = "160--164",

booktitle = "2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing",

note = "2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing ; Conference date: 11-07-2022 Through 14-07-2022",

}

Ziabari, A , Venkatakrishnan, S, Lisovich, A, Brackman, P, Bhattad, P, Dehoff, R , Plotkowski, A & Paquit, V 2022, High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing. in 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing, American Society for Precision Engineering, ASPE, pp. 160-164, 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing, Knoxville, United States, 07/11/22.

High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing. / Ziabari, Amirkoushyar ; Venkatakrishnan, Singanallur; Lisovich, Alex et al.
2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. American Society for Precision Engineering, ASPE, 2022. p. 160-164 (2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing).

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

TY - GEN

T1 - High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing

AU - Ziabari, Amirkoushyar

AU - Venkatakrishnan, Singanallur

AU - Lisovich, Alex

AU - Brackman, Paul

AU - Bhattad, Pradeep

AU - Dehoff, Ryan

AU - Plotkowski, Alex

AU - Paquit, Vincent

PY - 2022

Y1 - 2022

UR - http://www.scopus.com/inward/record.url?scp=85139798791&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85139798791

T3 - 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing

SP - 160

EP - 164

BT - 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing

PB - American Society for Precision Engineering, ASPE

T2 - 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing

Y2 - 11 July 2022 through 14 July 2022

ER -

Ziabari A , Venkatakrishnan S, Lisovich A, Brackman P, Bhattad P, Dehoff R et al. High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing. In 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. American Society for Precision Engineering, ASPE. 2022. p. 160-164. (2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing).

High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing

Publication series

Conference

UN SDGs

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