Defect detection for additive manufacturing systems
This invention teaches a quality assurance system for additive manufacturing. This invention teaches a multi-sensor, real-time quality system including sensors, affiliated hardware, and data processing algorithms that are Lagrangian-Eulerian with respect to the reference frames of its associated input measurements. The quality system for Additive Manufacturing is capable of measuring true in-process state variables associated with an additive manufacturing process, i.e., those in-process variables that define a feasible process space within which the process is deemed nominal. The in-process state variables can also be correlated to the part structure or microstructure and can then be useful in identifying particular locations within the part likely to include defects.
1. An additive manufacturing system, comprising:
a scan head;
a build plane;
a heat source configured to transmit energy through the scan head and toward the build plane to generate a melt pool;
an optical sensor configured to receive light through the scan head, wherein the light is emitted by the melt pool; and
a processor configured to execute computer code that that causes the additive manufacturing system to carry out an additive manufacturing operation to produce a part, the additive manufacturing operation comprising:
depositing a layer of metal powder on the build plane;
generating the melt pool by melting a portion of the layer of metal powder using the heat source;
generating a dataset from an output of the optical sensor;
comparing the dataset with a known-good range of a baseline dataset to determine whether one or more portions of the part may include a manufacturing defect; and
in response to the comparing, changing a parameter of the heat source.
2. The additive manufacturing system of claim 1 , wherein the parameter is a power of the heat source.
3. The additive manufacturing system of claim 1 , wherein the parameter is a scan speed of the heat source.
4. The additive manufacturing system of claim 1 , wherein the optical sensor is a first optical sensor and wherein the additive manufacturing system includes a second optical sensor configured to receive light emitted by the portion of the layer of metal powder.
5. The additive manufacturing system of claim 4 , wherein the second optical sensor has a fixed field of view relative to the build plane.
6. The additive manufacturing system of claim 4 , wherein the dataset is a first dataset and wherein the known-good range is a first known-good range, and wherein the second optical sensor generates a second dataset that is compared with a second known-good range.
7. The additive manufacturing system of claim 6 , wherein in response to the comparing the first dataset and the comparing the second dataset, the processor changes a power of the heat source.
8. The additive manufacturing system of claim 1 , wherein the heat source comprises a laser.
9. The additive manufacturing system of claim 1 , wherein the optical sensor is a first optical sensor and wherein the additive manufacturing system includes a second optical sensor configured to receive light emitted by the melt pool.
10. The additive manufacturing system of claim 9 , wherein the dataset is a first dataset and wherein the known-good range is a first known-good range, and wherein the second optical sensor generates a second dataset that is compared with a second known-good range.
11. The additive manufacturing system of claim 10 , wherein in response to the comparing the first dataset and the comparing the second dataset, the processor changes a power of the heat source.