Sciaky Gets NASA SBIR Award for Machine Learning for Process Control

  • Sciaky Gets NASA SBIR Award for Machine Learning for Process Control

    updated 23 hours, 16 minutes ago 1 Member · 1 Post
  • Anonymous

    June 11, 2021 at 10:19 AM
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    Sciaky has just gotten a NASA Small Business Innovation Research (SBIR) Award in order to use machine learning to improve fault detection in Ti-6Al-4V parts made with the company’s Electron Beam Additive Manufacturing. Through defect identification and mitigation, the firm wants to improve its Interlayer Real-time Imaging and Sensing System (IRISS) for better in situ process monitoring.

    “Sciaky is proud to partner with NASA and enhance process control for titanium 3D printing. This new capability will further solidify why EBAM is at the forefront of industrial additive manufacturing advancements,” Scott Phillips, President and CEO of Sciaky, said.

    Sciaky is a subsidiary of PSI (Philips Service Industries), a service company with over $150 million in approximate revenues. Their EBAM technology is a high deposition directed energy deposition (DED),  ideal for turbine blade repair, rejuvenation of complex components, wing spars, missile parts, chassis components, and airframe elements. Sciaky can build parts over five meters in length in titanium, tungsten, tantalum, niobium, steels, and alloys of copper and steel.

    Because it uses inexpensive wire feedstock, parts made with EBAM are relatively inexpensive. The surface finish is rough and the majority of components will be CNC-d for smoothness and to reach final

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