Inadequate inspection capabilities of Non Destructive Evaluation (NDE) have been quite revealing lately when used for the real-time monitoring of the Next-Gen Additive Manufacturing (AM), known as Smart Manufacturing (SM). SM is the convergence of Industrial Internet of Things (IIoT) (and /or Industry 4.0) with AM. The inspection limitations make the real-time analysis of SM elusive, at times impossible when studying machine-health conditions, process control, local and global materials state; all needed for detecting an off-nominal AM build state. These disadvantages exist today because NDE has failed to keep pace with the technological advances in manufacturing. For NDE to stay relevant, it should keep pace with the technologies, such as digital transformation, Digital Twin (DT), simulation, and generative design to solve business inspection needs. So, there is a need for robust real-time monitoring to ensure quality in 3D printed parts with increased scale and complexity in industrial sustainability.
(1) Dam, RF and Siang TY, “What is Design Thinking and Why Is It So Popular”? https://www.interaction-design.org/literature/article/what-is-design-thinking-and-why-is-it-so- popular Accessed: 29 June 2020
(2) Brown, T., “Design Thinking. Harvard Business Review”, June 2008:1-10.
(3) Najmon, C. Joel; Raeisi, Sajjad and Tovar, Andres, “Review of additive manufacturing technologies and applications in the aerospace industry”, Additive Manufacturing for the Aerospace Industry, Chapter 2, pp. 7-31, 2019.
(4) Blakey-Milner, Byron, et. al. “Metal additive manufacturing in aerospace: A review”, Materials & Design, 209, 2021.
(5) Sastry Kandukuri & Chen Ze, Review Article – Progress of Metal AM and Certification Pathway, Transactions of the Indian National Academy of Engineering (2021).
(6) Miche, R. et. al., “Sustainable production and the role of digital twins -Basic reflections and perspectives”, Advanced Manufacturing and Processing, Feb 2021.
(7) Bellamy, W., “Boeing CEO Talks ‘Digital Twin’ Era of Aviation”, Sept 14, 2018, Aviation
(8) Honeywell Internal Report, can be download from the link -
(9) Li, L, et. al., ”Digital Twin in Aerospace Industry: A Gentle Introduction”, IEEE Access, Volume 10, 2022, pp 9543-9562.
(10) White, P. Gregory, “A meta-analysis model of manufacturing capabilities”, Journal of Operations Management, 1996, 315-331.
(11) Chakraborty, D. and McGovern, E. Megan,” NDE 4.0: Smart NDE” IEEE International Conference on Prognostics and Health Management (ICPHM), 2019.
(12) Singh, S., Hogan, R. and Peralta, A., “Dichotomy of Fluorescent Penetrant Inspection Reliability Challenges versus Opportunities for Improved Performance and Capability”, Materials Evaluation, Jan 2018, pp 90-101.
(13) Singh, S. and Gray, J., “Nondestructive Testing Simulation for Studying Structural Integrity in Aerospace Components”, Materials Evaluation, 2016, 1119-1128.
(14) Bertovic, M., “Human Factors in Non-Destructive Testing (NDT): Risks and Challenges of Mechanized NDT”, Ph. D., University of Berlin, 2015.
(15) Meyendorf, N. G., et. al., “NDE 4.0 in Manufacturing: Challenges and Opportunities for NDE in the 21st Century”, Materials Evaluation, July 2020, 794-802.
(16) Vrana, J., “NDE Perception and Emerging Reality: NDE 4.0 Value Extraction”, Materials Evaluation, July 2020, 835-851.
(17) Valeske, B., “Next Generation NDE Sensor Systems as IIoT Elements of Industry 4.0”, Research in Nondestructive Evaluation”, 31:5-6, 2020, 340-369.
(18) Singh, R., “Purpose and Pursuits of NDE 4.0”, Materials Evaluation, July 2020, 785-793.
(19) Aldrin, J. C., “Intelligence Augmentation and Human- Machine Interface Best Practices for NDT 4.0 Reliability”, Materials Evaluation, July 2020, 869-879.
(20) Lanigan, Erin, “A Perspective On The Role Of In Situ Process Monitoring In The Certification Of Additive Manufactured Space Hardware”, Materials Evaluations, April 2022, 24-29.
(21) Quintana, M.J., Ji, Y. And Collins, P.C., “A Perspective Of The Needs And Opportunities For Coupling Materials Science And Nondestructive Evaluation For Metals-Based Additive Manufacturing”, Materials Evaluations, April 2022, 45- 63.
(22) Diehl, B., et. al. , “Thermal Calibration of Ratiometric, On-Axis Melt Pool Monitoring Photodetector System Using Tungsten Strip Lamp”, Materials Evaluations, April 2022, 64-73.
(23) Lane, B. et. al., “Thermal Calibration of Commercial Melt Pool Monitoring Sensors on a Laser Powder Bed Fusion System”, NIST Advanced Manufacturing Series 100-35, July 2020, 1-17.
(24) Kenderian, Shant Lanigan, et. al. “Thermocouple Process Monitoring For Additive Manufacturing”, Materials Evaluations, April 2022, 30-36.
(25) Cook, Olivia J., et. al. “Ultrasonic Characterization Of Porosity In Components Made By Binder Jet Additive Manufacturing”, Materials Evaluations, April 2022, 37- 44.
(26) View source version on accesswire.com: https://www.accesswire.com/635365/Sigma-Labs-Signs-Agreement-With-Lockheed-Martinfor-Its-PrintRite3DR-In-Process-Quality-Assurance-Solution.
(27) Peralta, A.D., et. al., “Towards rapid qualification of powder-bed laser additively manufactured parts”, Integrated Materials and Manufacturing Innovation, 2016, pp 1-23.
(28) Singh, S. and Bunish, K., “AM Paradigm -Benefits vs. Risks”, The 42nd Annual Review of Progress in Quantitative Nondestructive Evaluation, 2018, Burlington, VT.
(29) Colosimo, B. M. et. al., “A cost model for the economic evaluation of in -situ monitoring tools in metal additive manufacturing”, International Journal of Production Economics, 223 (2020) 1-18.
(30) Mohideen, F.P. and Verma, S. “Topology Optimization of Landing Gear for Additive Manufacturing”, SAE International, 2020.
(31) Lyle, J. T. 1996, “Regenerative Design for Sustainable Development and Design for Human Ecosystems”. Wiley. ISBN: 978-0-471-17843-9.
(32) Gupta, N. , et. al., “Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risk”, IEEE Access, Volume 8, 2020, pp 47322 - 47333.
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