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; 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.
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 further comprising:
generating a set of geometric attributes for each of the one or more candidate orientations; and
scoring each candidate orientation of the one or more candidate orientations based on the set of geometric attributes generated for the candidate orientation.
7 . The method of claim 6 , wherein the scoring each candidate orientation is performed based on a weighted combination of the geometric attributes.
8 . The method of claim 7 , wherein weights of the weighted combination are determined by a machine learning model.
9 . The method of claim 6 , wherein the geometric attributes comprises the height of the part when the part is resting on a build plate.
10 . The method of claim 6 , further comprising selecting one of the one or more candidate orientations based on the scores of the candidate orientations.
11 . 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; and
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.
12 . The system of claim 11 , wherein the feature vector comprises the height, a length, and a width for the part to be fabricated.
13 . The system of claim 12 , wherein the feature vector comprises the height, length, and width of the part to be fabricated along coordinate axes of the 3D model file.
14 . The system of claim 11 , wherein the identifying one or more candidate orientations for the part to be fabricated is based on the feature vector.
15 . The system of claim 11 , 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.
16 . The system of claim 1 , wherein the computing device is further configured to:
generate a set of geometric attributes for each of the one or more candidate orientations; and
score each candidate orientation of the one or more candidate orientations based on the set of geometric attributes generated for the candidate orientation.
17 . The system of claim 16 , wherein the computing device is configured to score each candidate orientation is performed based on a weighted combination of the geometric attributes.
18 . The system of claim 17 , wherein the computing device is configured to determine weights of the weighted combination using a machine learning model.
19 . The system of claim 17 , wherein the geometric attributes comprises the height of the part when the part is resting on a build plate.
20 . The system of claim 17 , 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.