Coloring your designs to avoid failures.
Merging Technologies with Color to Avoid Design Failures
Penn State College of Engineering, Miranda Buckheit, January 21, 2021
Pennsylvania State University (Penn State) researchers analyzed machine learning (ML) and image colorization algorithms to avoid design failures. Penn State's Pranav Milind Khanolkar reviewed the use of the ABAQUS additive-manufacturing simulation software, which can pose difficulties because its speed and performance level rely on a computer's hardware processing power. The team deployed ML algorithms to lower the exclusive use of computationally demanding finite element analysis, and accelerate simulations. It then applied image colorization algorithms to material microstructure data, and repurposed programs typically used to add color to monochrome photos. Khanolkar said, "Using intelligent technology to help people and empower their creativity and empathy during the design process is important. These algorithms need lots of computational power and using artificial intelligence ... allows designers to be more creative without impacting production cost."
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