Shape Deviation Modeling Applications for Additive Manufacturing Systems
Researchers at Purdue University and the University of Southern California have developed a new model building algorithm and computer application that directly address the above challenge of AM systems. This new algorithm and application enables automated and computationally efficient deviation modeling of different shapes and/or AM processes without sacrificing predictive accuracy, compared to existing modeling algorithms. This algorithm and application for automated and comprehensive deviation modeling can ultimately be applied to advance fast, flexible, and high-quality manufacturing in an AM system.
Efficient deviation modelingPredictive accuracyFlexible, high quality manufacturing
Additive manufacturing systemsComputer-aided design
Arman SabbaghiSabbaghi WebsitePurdue University Statistics
United States
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USA
