US 12,547,152 B2 · Predicting process control parameters for fabricating an object using deposition

Abstract

Process control parameters are predicted to fabricate an object using deposition. An input design geometry is provided for the object. A training data set includes past post-build physical inspection data for a plurality of objects that comprise at least one object that is different from the object to be physically fabricated; and training data generated through a repetitive process of randomly choosing values for each of multiple process control parameters and scoring adjustments to the multiple process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments. A machine learning algorithm is trained using the provided training data set and a predicted optimal set of the multiple process control parameters is generated for initiating and performing the deposition process to fabricate the object.

Claims21

Dependent claims

An additive manufacturing system, the system comprising:

a robotic additive manufacturing deposition system capable of performing a deposition process using instructions, and the robotic additive manufacturing deposition system comprising a sensor capable of generating sensor data;
and
one or more processors, wherein the one or more processors are configured to:
receive a toolpath, the toolpath capable of being utilized to fabricate an object using the deposition process;
receive sensor data from the sensor, wherein the sensor data is provided as an input to a classifier, wherein:
the classifier comprises a set of parameters;
and
the classifier is capable of outputting a real-time classification of detected object defects based upon the input to the classifier and the set of parameters;
generate instructions for performing an additive manufacturing process to fabricate the object, wherein the instructions are based on the real-time classification of detected object defects;
and
control the robotic additive manufacturing deposition system based on the generated instructions to fabricate the object using the deposition process.

8 more elements

Dependencies are inferred from the claim text.

Predicting process control parameters for fabricating an object using deposition

Life of this patent

Predicting process control parameters for fabricating an object using deposition

Life of this patent

Abstract

Claims21