Additive manufacturing system and method and feature extraction method
An additive manufacturing (AM) system, an AM method, and an AM feature extraction method are provided. The AM system includes an AM tool, a product metrology system, an in-situ metrology system, a virtual metrology (VM) system, a compensator, a track planner, a controller, a simulator and an augmented reality (AR) device. The simulator is used to find feasible parameter ranges, while the AR device is used to support operations and maintenance of the AM tool. The product metrology system, the in-situ metrology system and the VM system are integrated to estimate the variation of material on a powder bed of the AM tool. The compensator is used for compensating the process variation by adjusting process parameters. The product metrology system is used to measure the quality of products. The in-situ metrology system is used to collect features of melt pools on the powder bed.
1. An additive manufacturing (AM) system, comprising:
an AM tool configured to fabricate a plurality of workpiece products, wherein the AM tool comprises:
a powder bed, comprising a powder bed container in which a powder layer is held; and
a fusion system configured to direct an energy beam to a plurality of powder bodies on the powder layer respectively during a process of fabricating each of the workpiece products, thereby melting the powder bodies to form a plurality of melt pools;
a product metrology system configured to measure qualities of the workpiece products respectively after the workpiece products are completely fabricated, thereby obtaining a plurality of actual metrology values;
an in-situ metrology system, comprising:
a pyrometer configured to perform a temperature measurement on each of the melt pools on the powder bed during a fabrication of each of the workpiece products, thereby obtaining a temperature of each of the melt pools of each of the workpiece products;
a camera configured to perform photography on each of the melt pools on the powder bed during the fabrication of each of the workpiece products, thereby obtaining an image of each of the melt pools of each of the workpiece products; and
an in-situ metrology server, comprising:
an image-feature extraction device configured to extract a length and a width of each of the melt pools from the image of each of the melt pools, and to correspond the length and the width to the temperature; and
a melt-pool feature processing device configured to convert the length, the width and the temperature of each of the melt pools to a melt-pool length feature, a melt-pool width feature and a melt-pool temperature feature of each of the workpiece products; and
a virtual metrology system configured to use a plurality of sets of process data and the actual metrology values of the workpiece products to predict a virtual metrology value of a next workpiece product processed by the AM tool in accordance with a prediction algorithm after the workpiece products have been fabricated by the AM tool, the sets of process data comprising the melt-pool length feature, the melt-pool width feature and the melt-pool temperature feature of each of the workpiece products.
2. The additive manufacturing (AM) system of claim 1 , further comprising:
a simulator configured to perform a simulation operation based on the sets of process data and/or the actual metrology values of the workpiece products, thereby generating a set of suggested parameter ranges;
a compensator configured to generate a set of process-parameter adjusted values based on the virtual metrology value;
a track planner configured to generate a set of process-parameter tracking values based on the set of process-parameter adjusted values, the set of suggested parameter ranges and a set of parameter design values; and
a controller configured to control and adjust the AM tool to process the next workpiece product in accordance with the set of process-parameter tracking values.
3. The additive manufacturing (AM) system of claim 1 , wherein the melt-pool length feature, the melt-pool width feature and the melt-pool temperature feature comprise a maximum value, a minimum value, a mean value, a variance, a standard deviation, a skewness of statistic distribution, a kurtosis of statistic distribution, a full distance and/or a set of quantile of lengths of the melt pools in each of the at least one predetermined area; a maximum value, a minimum value, a mean value, a variance, a standard deviation, a skewness of statistic distribution, a kurtosis of statistic distribution, a full distance and/or a set of quantile of widths of the melt pools in each of the at least one predetermined area; and a maximum value, a minimum value, a mean value, a variance, a standard deviation, a skewness of statistic distribution, a kurtosis of statistic distribution, a full distance and/or a set of quantiles of temperatures of the melt pools in each of the at least one predetermined area.