System and method for determining spatial distribution of variable deposition size in additive manufacturing
A three-dimensional object model is divided into slices that are targeted for an additive manufacturing process operable to deposit material at a variable deposition size ranging between minimum and maximum printable feature sizes. For each of the slices, a thinning algorithm is applied to contours of the slice to form a meso-skeleton. Topological features of the thinned slice are reduced over a number of passes such that a portion of the meso-skeleton is reduced to a single pixel wide line. Based on the number of passes, a slice-specific printable feature size within the range of the minimum and maximum printable feature sizes is determined. An adjusted slice is formed by sweeping the meso-skeleton with the slice-specific printable feature size. The adjusted slices are assembled into an object model which is used to create a manufactured object.
1. A method comprising:
dividing a three-dimensional object model into a plurality of slices, the slices being targeted for an additive manufacturing process operable to deposit material at a variable deposition size ranging between minimum and maximum printable feature sizes;
for each of the slices:
applying a thinning algorithm to one or more contours of the slice to form a meso-skeleton, wherein topological features of the thinned slice are reduced over a number of passes each reducing the one or more contours such that at least a portion of the meso-skeleton is reduced to a single pixel wide line;
based on the number of passes, determining a slice-specific printable feature size within the range of the minimum and maximum printable feature sizes; and
forming an adjusted slice by sweeping the meso-skeleton with the slice-specific printable feature size; and
assembling the adjusted slices into an object model; and
using the object model to create a manufactured object using the additive manufacturing process such that the adjusted slices are added to the manufactured object using the respective slice-specific printable feature sizes.
2. The method of claim 1 , wherein the thinning algorithm is configured such that the slice is not thinned beyond an erosion of the contours by the maximum printable feature size.
3. The method of claim 1 , wherein the additive manufacturing process utilizes two or more nozzles that are selectable to print at the variable deposition size.
4. The method of claim 1 , wherein the additive manufacturing process utilizes a single nozzle that is capable of printing at the variable deposition size.
5. The method of claim 1 , wherein the thinning algorithm comprises a two subiteration thinning algorithm.
6. The method of claim 1 , further comprising, for each slice:
determining that at least one of the meso-skeleton comprises a spur; and
remove one or more pixels from an end of the spur such that a manufactured representation of the spur has a length corresponding to that of the three-dimensional object model.
7. The method of claim 1 , wherein, for each slice, forming the adjusted slice comprises dilating the meso-skeleton with the slice-specific printable feature size.
8. The method of claim 1 , wherein, for each slice, the thinning algorithm is repeated until a union of the meso-skeleton with an erosion of the contours does not change between subsequent repetitions.
9. The method of claim 1 , wherein the additive manufacturing process is operable to deposit the material at the variable deposition size by changing a process parameter.
10. The method of claim 9 , wherein the process parameter comprises a filament feed rate.
11. The method of claim 9 , wherein the process parameter comprises a laser power and velocity.
12. The method of claim 1 , wherein the slice-specific printable feature size is a largest feature size that is capable of printing the slice without losing topographical features compared to using the minimum printable feature size to print the slice, such that a manufacturing time using the object model is minimized.
13. A system comprising
an additive manufacturing machine operable to deposit material at a variable deposition size ranging between minimum and maximum printable feature sizes;
an apparatus comprising a processor coupled to memory, the processor configured to:
divide a three-dimensional object model into a plurality of slices, the slices being targeted for the additive manufacturing machine;
for each of the slices:
apply a thinning algorithm to one or more contours of the slice to form a meso-skeleton, wherein topological features of the thinned slice are reduced over a number of passes each reducing the one or more contours such that at least a portion of the meso-skeleton is reduced to a single pixel wide line;
based on the number of passes, determine a slice-specific printable feature size within the range of the minimum and maximum printable feature sizes; and
form an adjusted slice by sweeping the meso-skeleton with the slice-specific printable feature size; and
assemble the adjusted slices into an object model and send the object model to the additive manufacturing machine.
14. The system of claim 13 , wherein the thinning algorithm is configured such that the slice is not thinned beyond an erosion of the contours by the maximum printable feature size.
15. The system of claim 13 , wherein the additive manufacturing machine comprises two or more nozzles that are selectable to print at the variable deposition size.
16. The system of claim 13 , wherein the additive manufacturing machine is operable to deposit the material at the variable deposition size by changing a process parameter.
17. The system of claim 16 , wherein the process parameter comprises a filament feed rate.
18. The system of claim 16 , wherein the process parameter comprises a laser power and velocity.
19. The system of claim 13 , wherein the slice-specific printable feature size is a largest feature size that is capable of printing the slice without losing topographical features compared to using the minimum printable feature size to print the slice, such that a manufacturing time using the object model is minimized.