System and method for generating a quote for fabrication of a part to be fabricated
A method for generating a quote for fabrication of a part to be fabricated is disclosed. The method includes receiving, from a customer device associated with a customer, a design request for a part to be fabricated by a fabrication process. The design request includes a three-dimensional (3D) model file representing the part to be fabricated. The method further includes generating a feature vector for the part based on the model file and determining a total height of the part to be fabricated. Further, the method includes identifying one or more candidate orientations for the part to be fabricated and generating, as a function of a geometry of the part and a candidate orientation of the one or more candidate orientations, fabrication parameters for the part to be fabricated, wherein the fabrication parameters include a cost to fabricate the part and estimated completion date.
1. A method for generating fabrication parameters for fabrication of a part, the method comprising:
receiving, from a customer device associated with a customer, a design request for a part to be fabricated by a fabrication process, the design request including a three-dimensional (3D) model file representing the part to be fabricated;
generating a feature vector for the part based on the model file;
determining a total height of the part to be fabricated;
identifying one or more candidate orientations for the part to be fabricated;
generating, as a function of a geometry of the part and a candidate orientation of the one or more candidate orientations, fabrication parameters for the part to be fabricated, wherein the fabrication parameters include a cost to fabricate the part and estimated completion date;
generating a set of geometric attributes for each of the one or more candidate orientations, wherein the geometric attributes comprise the curvature of surfaces perpendicular to a build plate; and
scoring each candidate orientation of the one or more candidate orientations based on the set of geometric attributes generated for the candidate orientation.
2. The method of claim 1 , wherein the feature vector comprises the height, a length, and a width for the part to be fabricated.
3. The method of claim 2 , wherein the feature vector comprises the height, length, and width of the part to be fabricated along coordinate axes of the 3D model file.
4. The method of claim 1 , wherein the identifying one or more candidate orientations for the part to be fabricated is based on the feature vector.
5. The method of claim 1 , wherein the identifying one or more candidate orientations for the part to be fabricated comprises:
performing a heuristic analysis of the feature vector; and
identifying the one or more candidate orientations based on the heuristic analysis.
6. The method of claim 1 , wherein the scoring each candidate orientation is performed based on a weighted combination of the geometric attributes.
7. The method of claim 6 , wherein weights of the weighted combination are determined by a machine learning model.
8. The method of claim 6 , wherein the geometric attributes comprise the height of the part when the part is resting on a build plate.
9. The method of claim 6 , further comprising selecting one of the one or more candidate orientations based on the scores of the candidate orientations.
10. A system for generating a quote for fabrication of a part to be fabricated, the system comprising a computing device configured to:
receive, from a customer device associated with a customer, a design request for a part to be fabricated by a fabrication process, the design request including a three-dimensional (3D) model file representing the part to be fabricated;
generate a feature vector for the part based on the model file;
determine a total height of a plurality of layers of the part to be fabricated;
identify one or more candidate orientations for the part to be fabricated;
generate, as a function of the geometry of the part and a candidate orientation of the one or more candidate orientations, fabrication parameters for the part to be fabricated, wherein the fabrication parameters include a cost to fabricate the part and estimated completion date;
generating a set of geometric attributes for each of the one or more candidate orientations, wherein the geometric attributes comprise the curvature of surfaces perpendicular to a build plate; and
scoring each candidate orientation of the one or more candidate orientations based on the set of geometric attributes generated for the candidate orientation.
11. The system of claim 10 , wherein the feature vector comprises the height, a length, and a width for the part to be fabricated.
12. The system of claim 11 , wherein the feature vector comprises the height, length, and width of the part to be fabricated along coordinate axes of the 3D model file.
13. The system of claim 10 , wherein the identifying one or more candidate orientations for the part to be fabricated is based on the feature vector.
14. The system of claim 10 , wherein the identifying one or more candidate orientations for the part to be fabricated comprises:
performing, by the computing device, a heuristic analysis of the feature vector; and
identifying, by the computing device, the one or more candidate orientations based on the heuristic analysis.
15. The system of claim 10 , wherein the computing device is configured to score each candidate orientation is performed based on a weighted combination of the geometric attributes.
16. The system of claim 15 , wherein the computing device is configured to determine weights of the weighted combination using a machine learning model.
17. The system of claim 15 , wherein the geometric attributes comprise the height of the part when the part is resting on a build plate.
18. The system of claim 15 , wherein the computing device is further configured to select one of the one or more candidate orientations based on the scores of the candidate orientations.