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, wherein the scan head is arranged to traverse the build plane to build a part;
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 material on the build plane;
melting a portion of the layer of metal material using the heat source to form the melt pool;
monitoring an amount of energy emitted by the melt pool using the optical sensor, wherein the optical sensor generates a related dataset;
comparing the related 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 the dataset, changing a parameter of the heat source.
2. 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.
3. The additive manufacturing system of claim 2 , wherein the second optical sensor has a fixed field of view relative to the build plane.
4. The additive manufacturing system of claim 2 , wherein the related 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 related dataset that is compared with a second known-good range.
5. The additive manufacturing system of claim 4 , wherein in response to the comparing the first related dataset and the comparing the second related dataset, the processor changes a power of the heat source.
6. The additive manufacturing system of claim 1 , wherein the heat source comprises a laser.
7. An additive manufacturing system, comprising:
a build plane;
a scan head arranged to traverse the build plane to build a part;
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 generate a dataset in response to receiving light via the scan head, wherein the light is emitted by the melt pool; and
a processor configured to compare 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, wherein the processor changes a parameter of the heat source in response to the comparing.
8. The additive manufacturing system of claim 7 , wherein the parameter is a power of the heat source.
9. The additive manufacturing system of claim 7 , wherein the parameter is a scan speed of the heat source.