AI enabled 3D printing for controlled microstructure through insulation integration

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• receiving real-time and historical data from one or more sources in a 3D printing environment;
• identifying a temperature and a cooling rate of a first material of a 3D printed object printed by a first 3D printing nozzle based on the real-time and the historical data;
• identifying one or more required properties of one or more microstructures of the 3D printed object based on an application of the 3D printed object;
• computing a required cooling rate of the first material to achieve the required one or more properties;
• predicting a time at which to apply a second material onto the first material using a second 3D printing nozzle based on the identified temperature and the required cooling rate;
• computing one or more specifications of the second material based on the identified temperature and the required cooling rate;
• and
• causing the second 3D printing nozzle to print the second material onto the first material at the predicted time in accordance with the computed one or more specifications.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more computer-readable tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• receiving real-time and historical data from one or more sources in a 3D printing environment;
• identifying a temperature and a cooling rate of a first material of a 3D printed object printed by a first 3D printing nozzle based on the real-time and the historical data;
• identifying one or more required properties of one or more microstructures of the 3D printed object based on an application of the 3D printed object;
• computing a required cooling rate of the first material to achieve the required one or more properties;
• predicting a time at which to apply a second material onto the first material using a second 3D printing nozzle based on the identified temperature and the required cooling rate;
• computing one or more specifications of the second material based on the identified temperature and the required cooling rate;
• and
• causing the second 3D printing nozzle to print the second material onto the first material at the predicted time in accordance with the computed one or more specifications.