Johns Hopkins improves titanium alloys using AI technology

Researchers at Johns Hopkins University are using artificial intelligence to improve titanium alloys, specifically Ti-6Al-4V, through a method called laser powder bed fusion. This new approach allows for faster production and stronger materials by exploring previously overlooked processing conditions. The team’s AI models challenge traditional assumptions about manufacturing limits, revealing new ways to produce high-quality titanium. This method enables engineers to customize materials for specific applications, enhancing efficiency in industries like shipbuilding, aviation, and medical devices. Their findings, published in the journal Additive Manufacturing, suggest that AI can significantly reduce the time needed to understand material behaviors, potentially transforming how advanced alloys are developed and manufactured.