Systems, methods, and media for artificial intelligence feedback control in additive manufacturing

A method for additive manufacturing, comprising:

• receiving a captured image produced by an image sensor configured to capture an image of a printed layer of an object printed in a layer by layer manner;
• obtaining one or more desired mechanical properties for the object;
• generating a three-dimensional topographical image of the printed layer using a hardware processor;
• identifying an anomaly in the printed layer from the generated topographical image using a first artificial intelligence algorithm that is configured to detect anomalies in printed layers;
• determining a correlation between the identified anomaly and one of an infill density and an infill pattern used to print the printed layer using a second artificial intelligence algorithm that is configured to determine correlations between identified anomalies and the one of the infill density and the infill pattern;
• adjusting a value for the one of the infill density and the infill pattern to be used by the print head to print a subsequent layer of the object;
• and
• causing the print head to print the subsequent layer of the object using the value for the one of the infill density and the infill pattern to substantially achieve the one or more desired mechanical properties.

A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for additive manufacturing comprising:

• receiving a captured image produced by an image sensor configured to capture an image of a printed layer of an object printed in a layer by layer manner;
• obtaining one or more desired mechanical properties for the object;
• generating a three-dimensional topographical image of the printed layer;
• identifying an anomaly in the printed layer from the generated topographical image using a first artificial intelligence algorithm that is configured to detect anomalies in printed layers;
• determining a correlation between the identified anomaly and one of an infill density and an infill pattern used to print the printed layer using a second artificial intelligence algorithm that is configured to determine correlations between identified anomalies and the one of the infill density and the infill pattern;
• adjusting a value for the one of the infill density and the infill pattern to be used by the print head to print a subsequent layer of the object;
• and
• causing the print head to print the subsequent layer of the object using the value for the one of the infill density and the infill pattern to substantially achieve the one or more desired mechanical properties.