Scrap material identification with filtration and reuse during sustainable additive manufacturing

A computer program product comprising:

• one or more computer readable storage media;
• and
• program instructions stored on the one or more computer readable storage media to perform operations comprising:
• identifying and categorizing, using a 3D printed filter, unsorted scrap materials into separate sorted types of scrap material according to distinct types, wherein the unsorted scrap materials comprise waste products generated during one or more 3D printing processes;
• scanning a surface of each of the unsorted scrap materials to assess and sort the unsorted scrap materials according to scrap material properties;
• performing quality assurance on each of the sorted scrap materials, wherein sorted scrap materials meeting quality standards is reused in a future 3D printing;
• capturing and storing the assessed properties of the sorted scrap materials, wherein the captured and stored assessed properties are input to a knowledge corpus by distinct types;
• and
• training and updating a model used to 3D print by inputting the knowledge corpus and outputting a 3D printed filter corresponding to a type of scrap material being 3D printed.

A computer system comprising:

• a processor set;
• one or more computer readable storage media;
• and
• program instructions stored on the one or more computer readable storage media to cause the processor set to perform operations comprising:
• identifying and categorizing, using a 3D printed filter, unsorted scrap materials into separate sorted types of scrap material according to distinct types, wherein the unsorted scrap materials comprise waste products generated during one or more 3D printing processes;
• scanning a surface of each of the unsorted scrap materials to assess and sort the unsorted scrap materials according to scrap material properties;
• performing quality assurance on each of the sorted scrap materials, wherein sorted scrap materials meeting quality standards is reused in a future 3D printing;
• capturing and storing the assessed properties of the sorted scrap materials, wherein the captured and stored assessed properties are input to a knowledge corpus by distinct types;
• and
• training and updating a model used to 3D print by inputting the knowledge corpus and outputting a 3D printed filter corresponding to a type of scrap material being 3D printed.