SYMPOSIA PAPER Published: 05 June 2020
STP162020180137

Rapid Additive Qualification Using Probabilistics (RAQUP)

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Assurance of structural integrity of additively manufactured parts requires the qualification of materials, processes and machines. For the original equipment manufacturer (OEM), the speed and cost of qualification is critical for competitive advantage. During the past two decades, GE Global Research has developed and advanced the state-of-the-art of a suite of primarily Bayesian probabilistic methods and tools that have been leveraged on a wide variety of aviation, power, oil and gas and other applications for performance, cost, quality and reliability. Recently we have been applying them to additive manufacturing related qualifications. This work provides an overview of these probabilistic methods and tools and shows an application that reduces cycle time by four to five times in the development of additive alloy families.

Author Information

Khan, Genghis
GE Global Research, Niskayuna, NY, US
Kumar, Natarajan, Chennimalai
GE Global Research, Niskayuna, NY, US
Wang, Liping
GE Global Research, Niskayuna, NY, US
Gupta, Vipul
GE Global Research, Niskayuna, NY, US
Dheeradhada, Voramon
GE Global Research, Niskayuna, NY, US
Hanlon, Tim
GE Global Research, Niskayuna, NY, US
Dial, Laura
GE Global Research, Niskayuna, NY, US
Vinciquerra, Joseph
GE Global Research, Niskayuna, NY, US
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Details
Developed by Committee: F42
Pages: 540–549
DOI: 10.1520/STP162020180137
ISBN-EB: 978-0-8031-7687-4
ISBN-13: 978-0-8031-7686-7