Neural network thermal behavior predictions

This invention describes a way for an electronic device to predict how hot different parts of a 3D printed object will get during manufacturing. It uses artificial intelligence, specifically convolutional neural networks, to create a heat map based on the design's material placement. The system can also incorporate real-time thermal images from the printer to refine its predictions.

Why it matters: Since 2017, the computational power and accessibility of cloud-based AI platforms have dramatically increased, making the training and deployment of complex convolutional neural networks for real-time manufacturing predictions far more feasible and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, neural networks, training data

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