Methods and software for manufacturing a discrete object from an additively manufactured body of material including a precursor to a discrete object and a reference feature(s)
An automated manufacturing system for manufacturing a discrete object is configured to manufacture a reference feature on a precursor to the discrete object. Reference feature is used to place the precursor at a subtractive manufacturing machine; the reference feature may be based on a locating feature at the subtractive manufacturing machine. Manufacturing reference feature is accomplished by automatedly detecting one or more critical-to-quality features and manufacturing the reference feature based on the one or more detected critical-to-quality features.
1. An automated manufacturing system for manufacturing a discrete object from an additively manufactured body of material including a precursor to a discrete object and at least a reference feature, the system comprising:
an automated manufacturing device configured to manufacture a body of material including the precursor to a discrete object and the at least a reference feature, wherein manufacturing the body of material further comprises:
receiving at least a precursor to a discrete object, a graphical computer model of the at least a precursor to the discrete object, and a graphical computer model of the discrete object;
identifying at least a first feature and at least a second feature in the graphical computer model of the discrete object;
automatedly determining that the at least a first feature includes at least a critical-to-quality feature in the graphical computer model of the discrete object wherein automatedly detecting the at least a critical-to-quality feature further comprises:
extracting a geometric description of at least a surface feature depicted in the graphical computer model;
comparing the geometric description of the at least a surface feature to a geometric description of at least a stored critical-to-quality shape description wherein the at least a stored critical-to-quality shape description corresponds to a shape that requires manufacture to a first tolerance; and
determining that the geometric description of the at least a surface feature matches the geometric description of the at least a stored critical-to-quality shape description;
automatedly determining that the at least a second feature is a non-critical-to-quality feature to be manufactured to a second tolerance which is lower than the first tolerance;
automatedly generating a graphical representation of the at least a reference feature on the graphical model of the at least a precursor to the discrete object as a function of the at least a critical-to-quality feature;
manufacturing the at least a reference feature on the at least a precursor to the discrete object as a function of the graphical representation of the at least a reference feature; and
forming the discrete object from the body of material at a subtractive manufacturing device when the body of material is located at the subtractive manufacturing device using the at least a reference feature, wherein forming further comprises forming the at least a critical-to-quality feature.
2. The system of claim 1 , wherein receiving the at least a precursor to the discrete object further comprises manufacturing the at least a precursor to the discrete object.
3. The system of claim 2 , wherein manufacturing the at least a precursor to the discrete object further comprises additively manufacturing the at least a precursor to the discrete object.
4. The system of claim 2 , wherein manufacturing the at least a precursor to the discrete object further comprises subtractively manufacturing the at least a precursor to the discrete object.
5. The system of claim 1 , wherein detecting the at least a critical-to-quality feature further comprises detecting at least a join locus.
6. The system of claim 5 , wherein detecting the at least a join locus further comprises:
extracting a first geometric description of at least a first surface feature depicted in the graphical computer model;
comparing the first geometric description of the at least a surface feature to a second geometric description of at least a second surface feature of a graphical representation of an object; and
determining that the at least a first surface feature and at least a second surface feature are complementary forms.
7. The system of claim 5 , wherein:
the graphical computer model depicts an object mating with the graphical representation of the at least a precursor part; and
detecting the at least a join locus further comprises identifying a graphical depiction of a surface feature mating with the second object.
8. The system of claim 5 , wherein detecting the at least a join locus further comprises:
extracting a geometric description of at least a surface feature depicted in the graphical computer model;
comparing the geometric description of the at least a surface feature to a geometric description of at least a fastening feature shape description; and
determining that the geometric description of the at least a surface feature matches the geometric description of the at least a fastening feature shape description.
9. The system of claim 1 , wherein the at least a critical-to-quality feature includes a plurality of critical-to-quality features, and further comprising:
presenting the plurality of critical-to-quality features to a user via a user interface; and
receiving, via the user interface, a user selection of a critical-to-quality feature from the plurality of critical-to-quality features.
10. The system of claim 1 , wherein receiving the graphical representation of the at least a reference feature further comprises generating the graphical representation of the at least a reference feature as a function of at least a locating feature at a subtractive manufacturing device.
11. A method of manufacturing a discrete object from a body of material including a precursor to a discrete object and at least a reference feature, the method comprising:
receiving, at an automated manufacturing system, a graphical computer model of the at least a precursor to the discrete object and a graphical computer model of the discrete object;
identifying, by the automated manufacturing system, at least a first feature and at least a second feature in the graphical computer model of the discrete object;
automatedly determining, by the automated manufacturing system, that the at least a first feature includes at least a critical-to-quality feature in the graphical computer model of the discrete object wherein automatedly detecting the at least a critical-to-quality feature further comprises:
extracting a first geometric description of at least a surface feature depicted in the graphical computer model;
comparing the first geometric description to a second geometric description of at least a second surface feature of a graphical representation of an object, wherein the at least a second surface feature of the graphical representation of an object corresponds to a shape that requires manufacture to a first tolerance; and
determining that the at least a first surface feature and second at least a second feature are complementary forms;
automatedly determining, by the automated manufacturing system, that the at least a second feature is a non-critical-to-quality feature to be manufactured to a second tolerance which is lower than the first tolerance; and
automatedly generating, at the automated manufacturing system, a graphical representation of the at least a reference feature on a graphical computer model of the precursor to the discrete object as a function of the at least a critical-to-quality feature.
12. The method of claim 11 , wherein detecting the at least a critical-to-quality feature further comprises:
extracting a geometric description of at least a surface feature depicted in the graphical computer model;
comparing the geometric description of the at least a surface feature to a geometric description of at least a stored critical-to-quality shape description; and
determining that the geometric description of the at least a surface feature matches the geometric description of the at least a stored critical-to-quality shape description.
13. The method of claim 11 , wherein detecting the at least a critical-to-quality feature further comprises detecting at least a join locus.
14. The method of claim 13 , wherein:
the graphical computer model depicts a second object mating with the graphical representation of the at least a precursor part; and
detecting the at least a join locus further comprises identifying a graphical depiction of a surface feature mating with the second object.
15. The method of claim 13 , wherein detecting the at least a join locus further comprises:
extracting a geometric description of at least a surface feature depicted in the graphical computer model;
comparing the geometric description of the at least a surface feature to a geometric description of at least a fastening feature shape description; and
determining that the geometric description of the at least a surface feature matches the geometric description of the at least a fastening feature shape description.
16. The method of claim 11 , wherein the at least a critical-to-quality feature includes a plurality of critical-to-quality features, and further comprising:
presenting the plurality of critical-to-quality features to a user via a user interface; and
receiving, via the user interface, a user selection of a critical-to-quality feature from the plurality of critical-to-quality features.
17. The method of claim 11 further comprising manufacturing, by the automated manufacturing system, the at least a reference feature on the at least a precursor, as a function of the graphical representation of the at least a reference feature.
18. The method of claim 11 further comprising manufacturing, by the automated manufacturing system and using a subtractive manufacturing device, the discrete object.
19. An automated manufacturing system for manufacturing a discrete object from an additively manufactured body of material including at least a precursor to a discrete object and at least a reference feature, the automated manufacturing system comprising:
an automated manufacturing device configured to manufacture a body of material including at least a precursor to a discrete object and at least a reference feature, wherein manufacturing the body of material further comprises:
receiving at least a precursor to a discrete object, a graphical computer model of the at least a precursor to the discrete object, and a graphical computer model of the discrete object;
identifying at least a first feature and at least a second feature in the graphical computer model of the discrete object;
automatedly determining that the at least a first feature includes at least a critical-to-quality feature in the graphical computer model of the discrete object, wherein automatedly detecting the at least a critical-to-quality feature further comprises:
extracting a geometric description of at least a surface feature depicted in the graphical computer model;
comparing the geometric description of the at least a surface feature to a geometric description of at least a stored critical-to-quality shape description wherein the at least a stored critical-to-quality shape description corresponds to a shape that requires manufacture to a first tolerance; and
determining that the geometric description of the at least a surface feature matches the geometric description of the at least a stored critical-to-quality shape description;
automatedly determining that the at least a second feature is a non-critical-to-quality feature to be manufactured to a second tolerance which is lower than the first tolerance; and
automatedly generating a graphical representation of the at least a reference feature on a graphical model of the at least a precursor to the discrete object as a function of the at least a critical-to-quality feature.