en.Wedoany.com Reported - Dazhong Wu, a researcher at the University of Central Florida (UCF), has received the Defense Advanced Research Projects Agency (DARPA) Young Faculty Award for his project "Artificial Intelligence-Driven Economical and Scalable Certification of Additively Manufactured Parts." The project spans two years with nearly $500,000 in funding, with an option for an additional $500,000 in the third year based on progress.

Wu, an associate professor in the Department of Mechanical and Aerospace Engineering, leads the Additive Manufacturing and Intelligent Systems Laboratory. He noted that current metal additive manufacturing processes rely on digital models and expensive materials to build parts layer by layer, often followed by lengthy trial-and-error testing cycles that result in part destruction. His approach combines artificial intelligence with additive manufacturing to develop efficient machine learning models that predict defects and mechanical properties of 3D-printed materials, thereby reducing the need for destructive testing and lowering inspection costs.

Wu stated: "I hope this AI-based additive manufacturing certification framework can be used in many industries, including aerospace and others. Reducing costs is critical for the additive manufacturing industry, but to achieve this, we need to ensure that every part consistently meets performance requirements. By leveraging artificial intelligence, we can predict the mechanical properties of 3D-printed parts using a small amount of destructive and non-destructive testing data, thereby ensuring each part is consistent, reliable, and more cost-effective."

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