Probability of detection of porosity defects for electron beam powder bed fusion additive manufacturing using total electron emissions

Peverall, Dylan; McDonald, Trevor; Gbadamosi-Adeniyi, Temilola; Horn, Tim

doi:10.1016/j.jmapro.2024.09.088

Title: Probability of detection of porosity defects for electron beam powder bed fusion additive manufacturing using total electron emissions

Journal Article · 01 December 2024 · Journal of Manufacturing Processes

DOI: https://doi.org/10.1016/j.jmapro.2024.09.088 · OSTI ID:2475433

Peverall, Dylan; McDonald, Trevor; Gbadamosi-Adeniyi, Temilola; Horn, Tim

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Sponsoring Organization:: USDOE

OSTI ID:: 2475433

Journal Information:: Journal of Manufacturing Processes, Journal Name: Journal of Manufacturing Processes Journal Issue: C Vol. 131; ISSN 1526-6125

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (41)

Influence of the Scanning Strategy on the Microstructure and Mechanical Properties in Selective Electron Beam Melting of Ti-6Al-4V: Influence of the Scanning Strategy on the Microstructure … Scharowsky, Thorsten; Juechter, Vera; Singer, Robert F. Advanced Engineering Materials, Vol. 17, Issue 11 https://doi.org/10.1002/adem.201400542	journal	April 2015
In Operando Monitoring by Analysis of Backscattered Electrons during Electron Beam Melting Arnold, Christopher; Böhm, Jonas; Körner, Carolin Advanced Engineering Materials, Vol. 22, Issue 9 https://doi.org/10.1002/adem.201901102	journal	December 2019
Electron Optics of a Scanning Electron Microscope Reimer, Ludwig Scanning Electron Microscopy, p. 13-56 https://doi.org/10.1007/978-3-540-38967-5_2	book	January 1998
Pilot capability evaluation of a feedback electronic imaging system prototype for in-process monitoring in electron beam additive manufacturing Wong, Hay; Neary, Derek; Jones, Eric The International Journal of Advanced Manufacturing Technology, Vol. 100, Issue 1-4 https://doi.org/10.1007/s00170-018-2702-6	journal	September 2018
Microstructure of the Nickel-Base Superalloy CMSX-4 Fabricated by Selective Electron Beam Melting Ramsperger, Markus; Singer, Robert F.; Körner, Carolin Metallurgical and Materials Transactions A, Vol. 47, Issue 3 https://doi.org/10.1007/s11661-015-3300-y	journal	January 2016
Additive Manufacturing of Nickel Superalloys: Opportunities for Innovation and Challenges Related to Qualification Babu, S. S.; Raghavan, N.; Raplee, J. Metallurgical and Materials Transactions A, Vol. 49, Issue 9 https://doi.org/10.1007/s11661-018-4702-4	journal	June 2018
Metal Additive Manufacturing: A Review Frazier, William E. Journal of Materials Engineering and Performance, Vol. 23, Issue 6 https://doi.org/10.1007/s11665-014-0958-z	journal	April 2014
Electron-optical in-situ crack monitoring during electron beam powder bed fusion of the Ni-Base superalloy CMSX-4 Bäreis, Johannes; Semjatov, Nick; Renner, Jakob Progress in Additive Manufacturing, Vol. 8, Issue 5 https://doi.org/10.1007/s40964-022-00357-9	journal	November 2022
Experimental investigation of weld pool formation in electron beam welding Petrov, Peter; Georgiev, Chavdar; Petrov, Georgy Vacuum, Vol. 51, Issue 3 https://doi.org/10.1016/S0042-207X(98)00110-9	journal	November 1998
Localized melt-scan strategy for site specific control of grain size and primary dendrite arm spacing in electron beam additive manufacturing Raghavan, Narendran; Simunovic, Srdjan; Dehoff, Ryan Acta Materialia, Vol. 140 https://doi.org/10.1016/j.actamat.2017.08.038	journal	November 2017
Electron beam melting of Ti6Al4V: Role of the process parameters under the same energy density Silvestri, Alessia Teresa; Foglia, Simona; Borrelli, Rosario Journal of Manufacturing Processes, Vol. 60 https://doi.org/10.1016/j.jmapro.2020.10.065	journal	December 2020
Electron beam metal additive manufacturing: Defects formation and in-process control Shi, Yilei; Gong, Shuili; Xu, Haiying Journal of Manufacturing Processes, Vol. 101 https://doi.org/10.1016/j.jmapro.2023.06.013	journal	September 2023
Pilot investigation of feedback electronic image generation in electron beam melting and its potential for in-process monitoring Wong, Hay; Neary, Derek; Shahzad, Sohail Journal of Materials Processing Technology, Vol. 266 https://doi.org/10.1016/j.jmatprotec.2018.10.016	journal	April 2019
Dual-detector electronic monitoring of electron beam selective melting Zhao, D. C.; Lin, F. Journal of Materials Processing Technology, Vol. 289 https://doi.org/10.1016/j.jmatprotec.2020.116935	journal	March 2021
Correlating in-situ sensor data to defect locations and part quality for additively manufactured parts using machine learning Snow, Zackary; Reutzel, Edward W.; Petrich, Jan Journal of Materials Processing Technology, Vol. 302 https://doi.org/10.1016/j.jmatprotec.2021.117476	journal	April 2022
Review on additive manufacturing and non-destructive testing Segovia Ramírez, Isaac; García Márquez, Fausto Pedro; Papaelias, Mayorkinos Journal of Manufacturing Systems, Vol. 66 https://doi.org/10.1016/j.jmsy.2022.12.005	journal	February 2023
XCT analysis of the influence of melt strategies on defect population in Ti–6Al–4V components manufactured by Selective Electron Beam Melting Tammas-Williams, S.; Zhao, H.; Léonard, F. Materials Characterization, Vol. 102 https://doi.org/10.1016/j.matchar.2015.02.008	journal	April 2015
Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights du Plessis, Anton; Yadroitsava, Ina; Yadroitsev, Igor Materials & Design, Vol. 187 https://doi.org/10.1016/j.matdes.2019.108385	journal	February 2020
Material characterisation using electronic imaging for Electron Beam Melting process monitoring Wong, Hay; Garrard, Rebecca; Black, Kate Manufacturing Letters, Vol. 23 https://doi.org/10.1016/j.mfglet.2019.12.005	journal	January 2020
Reliability assessment of pulsed thermography and ultrasonic testing for impact damage of CFRP panels Duan, Yuxia; Zhang, Hai; Maldague, Xavier P. V. NDT & E International, Vol. 102 https://doi.org/10.1016/j.ndteint.2018.11.010	journal	March 2019
Optimal sample size for probability of detection curves Annis, Charles; Gandossi, Luca; Martin, Oliver Nuclear Engineering and Design, Vol. 262 https://doi.org/10.1016/j.nucengdes.2013.03.059	journal	September 2013
Porosity estimation method by X-ray computed tomography Taud, H.; Martinez-Angeles, R.; Parrot, J. F. Journal of Petroleum Science and Engineering, Vol. 47, Issue 3-4 https://doi.org/10.1016/j.petrol.2005.03.009	journal	June 2005
Evaluation of Electron Beam Powder Bed Fusion Additive Manufacturing of High Purity Copper for Overhang Structures Using In-Situ Real Time Backscatter Electron Monitoring Ledford, Chris; Rock, Chris; Tung, Mouda Procedia Manufacturing, Vol. 48 https://doi.org/10.1016/j.promfg.2020.05.120	journal	January 2020
Issues in estimating probability of detection of NDT techniques – A model assisted approach Rentala, Vamsi Krishna; Mylavarapu, Phani; Gautam, Jai Prakash Ultrasonics, Vol. 87 https://doi.org/10.1016/j.ultras.2018.02.012	journal	July 2018
Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction Ziabari, Amirkoushyar; Venkatakrishnan, S. V.; Snow, Zackary npj Computational Materials, Vol. 9, Issue 1 https://doi.org/10.1038/s41524-023-01032-5	journal	May 2023
Additive manufacturing: Overview and NDE challenges Slotwinski, J. A. AIP Conference Proceedings https://doi.org/10.1063/1.4864953	conference	January 2014
The metallurgy and processing science of metal additive manufacturing Sames, W. J.; List, F. A.; Pannala, S. International Materials Reviews, Vol. 61, Issue 5 https://doi.org/10.1080/09506608.2015.1116649	journal	March 2016
Additive manufacturing of metallic components by selective electron beam melting — a review Körner, C. International Materials Reviews, Vol. 61, Issue 5 https://doi.org/10.1080/09506608.2016.1176289	journal	March 2016
Development of an automatic beam focus system for electron beam welding Hiramoto, S.; Ohmine, M.; Sakamoto, M. Welding International, Vol. 5, Issue 10 https://doi.org/10.1080/09507119109447844	journal	January 1991
Probability of detection applied to X-ray inspection using numerical simulations Yosifov, M.; Reiter, M.; Heupl, S. Nondestructive Testing and Evaluation, Vol. 37, Issue 5 https://doi.org/10.1080/10589759.2022.2071892	journal	May 2022
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review Grasso, M.; Remani, A.; Dickins, A. Measurement Science and Technology, Vol. 32, Issue 11 https://doi.org/10.1088/1361-6501/ac0b6b	journal	July 2021
Solidification dynamics in metal additive manufacturing: analysis of model assumptions ^* Stump, B.; Plotkowski, A.; Coleman, J. Modelling and Simulation in Materials Science and Engineering, Vol. 29, Issue 3 https://doi.org/10.1088/1361-651X/abca19	journal	February 2021
Radiation hardness of a p-channel notch CCD developed for the X-ray CCD camera onboard the XRISM satellite Kanemaru, Y.; Sato, J.; Mori, K. Journal of Instrumentation, Vol. 14, Issue 04 https://doi.org/10.1088/1748-0221/14/04/C04003	journal	April 2019
X-Ray Microcomputed Tomography in Additive Manufacturing: A Review of the Current Technology and Applications du Plessis, Anton; Yadroitsev, Igor; Yadroitsava, Ina 3D Printing and Additive Manufacturing, Vol. 5, Issue 3 https://doi.org/10.1089/3dp.2018.0060	journal	September 2018
Layerwise monitoring of electron beam melting via backscatter electron detection Arnold, Christopher; Pobel, Christoph; Osmanlic, Fuad Rapid Prototyping Journal, Vol. 24, Issue 8 https://doi.org/10.1108/RPJ-02-2018-0034	journal	October 2018
Review on electron beam based additive manufacturing Negi, Seema; Nambolan, Athul Arun; Kapil, Sajan Rapid Prototyping Journal, Vol. 26, Issue 3 https://doi.org/10.1108/RPJ-07-2019-0182	journal	November 2019
Medical image registration using mutual information Maes, F.; Vandermeulen, D.; Suetens, P. Proceedings of the IEEE, Vol. 91, Issue 10 https://doi.org/10.1109/JPROC.2003.817864	journal	October 2003
The Influence of X-Ray Computed Tomography Acquisition Parameters on Image Quality and Probability of Detection of Additive Manufacturing Defects Kim, Felix H.; Pintar, Adam L.; Moylan, Shawn P. Journal of Manufacturing Science and Engineering, Vol. 141, Issue 11 https://doi.org/10.1115/1.4044515	journal	September 2019
Reliability and sensitivity of visible liquid penetrant NDT for inspection of welded components Zolfaghari, Abolfazl; Kolahan, Farhad Materials Testing, Vol. 59, Issue 3 https://doi.org/10.3139/120.111000	journal	February 2017
In Situ Monitoring of Powder Bed Fusion Homogeneity in Electron Beam Melting Grasso, Marco Materials, Vol. 14, Issue 22 https://doi.org/10.3390/ma14227015	journal	November 2021
In Situ Inclusion Detection and Material Characterization in an Electron Beam Powder Bed Fusion Process Using Electron Optical Imaging Gardfjell, Martin; Reith, Marcel; Franke, Martin Materials, Vol. 16, Issue 12 https://doi.org/10.3390/ma16124220	journal	June 2023

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