Systems and methods for using wire printing process data to predict material properties and part quality
Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.
1 . A method for printing a three-dimensional (3D) object, comprising:
obtaining, with a controller, a) a set of printing parameters and b) a predicted state of a 3D object that is based on at least one printing parameter of said set of printing parameters, wherein said predicted state of said 3D object is a state of said 3D object during printing, and wherein said controller is configured to extract data corresponding to successive layers of said 3D object and to control, in accordance with said data, a mechanical movement system capable of motion in one or more of five or six axes and a wire feeder that positions a wire;
bringing, with said mechanical movement system and said wire feeder, said wire adjacent to a support and directing current to melt said wire and thereby printing said wire adjacent to said support, in accordance with said set of printing parameters;
performing a function at multiple times over course of said printing, said function comprising:
processing a measured parameter of said 3D object against at least one printing parameter of said set of printing parameters to determine at least one quality measure of said 3D object, wherein said at least one quality measure comprises at least one of: dimensional accuracy, surface finish, strength, warp, and dimensional instability;
predicting an intermediate printing state of said 3D object, of a set of predicted intermediate printing states compiled over the multiple times performing the
function, based at least in part on a still image, video, or other sensed measurement of said 3D object, as partially formed, and electronically outputting said at least one quality measure in real-time; and
from said set of predicted intermediate printing states, determining a final 3D object, wherein said final 3D object is said 3D object after printing.
2 . The method of claim 1 , wherein said at least one printing parameter of said set reflects a deposition path shape.
3 . The method of claim 1 , wherein said at least one printing parameter of said set comprises a printing parameter that reflects stresses in said final 3D object at a point, a region, or overall.
4 . The method of claim 1 , wherein said intermediate printing state reflects strain in said final 3D object at a point, a region, or overall.
5 . The method of claim 1 , wherein said measured parameter is collected using one or more sensors in communication with said controller.
6 . The method of claim 5 , wherein said one or more sensors comprises a camera.
7 . The method of claim 1 , wherein said measured parameter is based on an image analysis of deposited material.
8 . The method of claim 1 , wherein obtaining said intermediate printing state is predicted using a computational model, machine learning, and/or an algorithmic estimator.
9 . The method of claim 1 , wherein said intermediate printing state is predicted when said wire feeder is located at a particular point or within a particular region of a printing area.
10 . A system for printing a three-dimensional (3D) object, comprising:
a controller configured to extract data corresponding to successive layers of a 3D object and to control, in accordance with said data, a mechanical movement system capable of motion in one or more of five or six axes and a wire feeder that positions a wire,
at least one computer memory configured to maintain in memory a set of printing parameters, one or more predicted states, and at least one measured parameter;
one or more computer processors operatively coupled to said at least one computer memory, wherein said one or more computer processors are individually or collectively configured to:
obtain a) said set of printing parameters and b) a predicted state of said 3D object that is based on at least one printing parameter of said set of printing parameters, wherein said predicted state of said 3D object is a state of said 3D object during printing;
with said mechanical movement system and said wire feeder, bring said wire adjacent to a support and direct current to melt said wire and thereby print said wire adjacent to said support, in accordance with said set of printing parameters;
perform a function at multiple times over course of said printing, said function comprising:
processing a measured parameter of said 3D object against at least one printing parameter of said set to determine at least one quality measure of said 3D object, wherein said at least one quality measure comprises at least one of: dimensional accuracy, surface finish, strength, warp, and dimensional instability;
predicting an intermediate printing state of said 3D object, of a set of predicted intermediate printing states compiled over the multiple times performing the function, based at least in part on a still image, video, or other sensed measurement of said 3D object, as partially formed, and
electronically outputting said at least one quality measure in real-time; and
from said set of predicted intermediate printing states, determine a final 3D object, wherein said final 3D object is said 3D object after printing.
11 . The system of claim 10 , further comprising one or more sensors configured to collect said at least one measured parameter.
12 . The system of claim 11 , wherein said one or more sensors is selected from the group consisting of an electronic force meter, a barometer, a gas meter, a thermometer, a voltmeter, a multimeter, a camera, and an X-ray unit.
13 . The system of claim 10 , wherein said one or more computer processors are individually or collectively configured to process said at least one measured parameter using an image analysis of deposited material.