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Market Opportunity
Achieving high 3D shape accuracy remains a major challenge in additive manufacturing due to complex, layer-by-layer error accumulation and interlayer interactions. Existing physics-based simulations are computationally intensive and difficult to integrate with data-driven learning, while most machine-learning approaches have focused...
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Additive manufacturing
Rapid prototyping of: Medical Devices Micro and Nano features
Abstract
USC researchers have developed a new compensating system and methods that improve dimensional accuracy of the 3D printed objects by at least 75%. Furthermore, the technology eliminates the need for post processing by optimizing the compensation factor(s)...
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3D printing
Automatic qualification
Geometric Accuracy
Abstract
USC researchers have developed a new system for automated qualification of 3D-printed products. It consists of two main components: (1) automated non-rigid shape registration and characterization of surface deviation patterns for quality assessment, and (2) automated surface patch...
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