Additive Manufacturing Simulation System and Method
An additive manufacturing method that can use a two-dimensional energy patterning system is disclosed. Information related to a part is provided, with the information including CAD files, material type, selected additive manufacturing process type, and tolerances of selected design features. Manufacture of a part is simulated and compared to selected design tolerance. If the simulated manufactured part is outside selected design tolerances, simulation parameters can be adjusted until results indicate the simulated manufactured part is within selected design tolerances. In certain embodiments, manufacturing the part uses a real-time sensor monitoring system, along with post processing analysis of selected design features to improve simulated manufacture of the part.
1 . A method of additive manufacture, comprising the steps of:
providing information related to a part, the information including CAD files, material type and metallurgy, selected additive manufacturing process type, and tolerances of selected design features;
simulating manufacture of a part using the selected additive manufacturing process;
comparing the simulated manufactured part to selected design tolerances;
if the simulated manufactured part is outside selected design tolerances, adjusting simulation parameters;
repeating simulated part manufacture and adjustment of simulation parameters until evaluated simulation results indicate the simulated manufactured part is within selected design tolerances;
manufacturing the part while using a real-time sensor monitoring system;
providing post processing analysis of selected design features; and
providing data from the real-time sensor monitoring system and the post processing analysis of selected design features to improve simulated manufacture of the part.
2 . The method of claim 1 , wherein simulation and manufacturing parameters relate to an energy patterning unit able to provide two-dimensional patterned energy beams.
3 . The method of claim 1 , wherein design tolerances include stress.
4 . The method of claim 1 , wherein design tolerances include part geometry.
5 . The method of claim 1 , wherein design tolerances include topological positioning of the part.
6 . The method of claim 1 , wherein design tolerances include porosity.
7 . The method of claim 1 , wherein real-time sensor monitoring system can provide measurements related to one or more of temperature, pressure, gas species, thermal radiation spectrum and intensity measurements.
8 . The method of claim 1 , wherein real-time sensor monitoring system can provide measurements related to one or more of laser diagnostics for spatial and temporal profile measurements.
9 . The method of claim 1 , wherein real-time sensor monitoring system can provide data specific to an additive manufacturing system such as operation of a powder distribution mechanism or visual diagnostic system performance.
10 . The method of claim 1 , wherein simulation parameters can include at least one of directed beam intensities, beam pulse shapes, beam pulse durations, gas pressure, gas composition, bed temperature, power temperature, print order in a given layer, print order within a given image, geometrical parameters such as support structure or orientation of the part, porosity, and overall part topology.
11 . The method of claim 1 , wherein post processing analysis of selected design features includes a tomographic analysis.
12 . The method of claim 11 , wherein the tomographic analysis is used to generate a porosity unit cell.
13 . The method of claim 12 , wherein the porosity unit cell is used as an infill in a simulation of a printed part to determine a deformation of a part-during printing and post-processing; and,
the determined deformation is used to adjust the geometry of a to be printed part to meet a design-tolerance.
14 . A method of building a defect library for additively manufactured parts, comprising the steps of:
providing information related to a part, the information including CAD files, material type and metallurgy, selected additive manufacturing process type, and tolerances of selected design features;
simulating manufacture of a part using the selected additive manufacturing process;
comparing the simulated manufactured part to selected design tolerances;
if the simulated manufactured part is outside selected design tolerances, adjusting simulation parameters;
repeating simulated part manufacture and adjustment of simulation parameters until evaluated simulation results indicate the simulated manufactured part is within selected design tolerances;
saving solutions within selected design tolerances to a defect library database.
15 . The method of claim 14 , wherein simulation and manufacturing parameters relate to an energy patterning unit able to provide two-dimensional patterned energy beams.
16 . The method of claim 14 , wherein design tolerances are selected from one or more of stress, part geometry, topological positioning, and porosity.
17 . A method of simultaneous additive manufacture of multiple parts, comprising the steps of:
providing information related to the multiple part, the information including CAD files, material type and metallurgy, selected additive manufacturing process type, and tolerances of selected stress features;
simulating manufacture of the multiple parts using the selected additive manufacturing process, while optimizing for both multiple part packing and thermal load history;
comparing the simulated manufactured part to selected stress tolerances;
if the simulated manufactured part is outside selected design tolerances, adjusting simulation parameters; and
repeating simulated part manufacture and adjustment of simulation parameters until evaluated simulation results indicate the simulated manufactured part is within selected stress tolerances.
18 . The method of claim 17 , wherein simulation and manufacturing parameters relate to an energy patterning unit able to provide two-dimensional patterned energy beams.
19 . The method of claim 17 , further comprising the steps of:
manufacturing the part while using a real-time sensor monitoring system;
providing post processing analysis of selected design features; and
providing data from the real-time sensor monitoring system and the post processing analysis of selected design features to improve simulated manufacture of the part.
20 . The method of claim 19 , wherein real-time sensor monitoring system can provide measurements related to one or more of temperature, pressure, gas species, thermal radiation spectrum and intensity measurements.
21 . The method of claim 19 , wherein real-time sensor monitoring system can provide measurements related to one or more of laser diagnostics for spatial and temporal profile measurements.
22 . The method of claim 17 , wherein simulation parameters can include at least one of directed beam intensities, beam pulse shapes, beam pulse durations, gas pressure, gas composition, bed temperature, power temperature, print order in a given layer, print order within a given image, geometrical parameters such as support structure or orientation of the part, porosity, and overall part topology.
23 . A method of additive manufacture using multiple lasers patterned to form a two-dimensional image, comprising the steps of:
providing and receiving information related to a part, the information including CAD files, material type and metallurgy, selected additive manufacturing process type, and tolerances of selected design features;
simulating manufacture of a part using the selected additive manufacturing process;
comparing the simulated manufactured part to selected design tolerances and adjusting simulation parameters when the simulated manufactured part is outside selected design tolerances, wherein at least one of the simulation parameters comprises a patterned two-dimensional image;
repeating simulated part manufacture and adjustment of simulation parameters until evaluated simulation results indicate the simulated manufactured part is within selected design tolerances;
manufacturing the part using the patterned two-dimensional image while using a real-time sensor monitoring system;
providing post processing analysis of selected design features; and
providing data from the real-time sensor monitoring system and the post processing analysis of selected design features to improve simulated manufacture of the part.