This application relates generally to manufacturing a component utilizing a CT scan of the component to develop an additive manufacturing toolpath, then using the toolpath and the scan to determine a machining toolpath. In one other embodiment the toolpath alone is utilized to determine the machining toolpath.
Modern systems are including more and more complex components. As the components become more complex they become more expensive. There is thus need to repair the components rather than simply replace them.
Defects in a component may be repaired using weld filler. Various processes are known in the art for applying such material to a component. While these known processes have various advantages, there is still room in the art for improvement.
One type of components which are frequently subject to repair are components in a gas turbine engine.
Also, the components are being manufactured by additive manufacturing.
A method of manufacturing a component includes scanning a component using computed tomography to provide scanned data. Additive manufacturing data is developed using the scanned data compared to reference data. Depositing powder using an additive manufacturing device based upon the additive manufacturing data to provide a first object the additive manufacturing device melting the powder. Determining predicted characteristics of the first object based upon the additive manufacturing data. The predicted characteristics of the first object are compared to the reference data to provide machining data. Machining the first object using the machining data then occurs.
These and other features will be best understood from the following drawings and specification, the following is a brief description.
A component 20 is illustrated in
The component 20 is illustrated in
As shown in
Referring to
A control 100 is programmed to control material regulation device 36 to selectively direct the first powder 40A during a first mode, and selectively direct the second powder 40B during a second mode. The material regulation device 36 may also be controlled to selectively direct one or more combinations of the first powder 40A and the second powder 40B to the nozzle 32 during a third mode.
The nozzle 32 is controlled to deliver a (e.g., annular, conical) stream 44 of the powder toward a substrate of component 20. A tubular inner sidewall 48 and a tubular outer sidewall 50 define passage 52 (e.g., an annulus) fluidly coupled (shown schematically) to material flow regulator 36, and extends to a nozzle orifice 54. A distal end portion of the nozzle 32 and its inner sidewall 48 and its outer sidewall 50 may radially taper inwards as the nozzle 32 extends axially toward nozzle orifice 54. The nozzle 32 may focus the powder 40 to, around or about a target point 56 on, slightly above or slightly below the substrate surface 42. Of course nozzle 32 may be configured to deliver the powder 40 through an internal bore rather than an annulus.
Control 100 is programmed to control laser 34 to generate a laser beam 58 for melting the powder 40 delivered by the nozzle 32 to the substrate 42. For example, a powder laser welding process is used where powder is melted to a liquid state (e.g., in a melt pool) by the laser beam and then solidified as a solid mass.
Laser 34 is controlled to direct the laser beam 58 to or about the target point 56 and heats the powder 40 for melting. The laser beam 58 directed through an internal bore 60 of the nozzle 32 formed by the inner sidewall 48. Of course, the laser 34 may be configured to direct the laser beam 58 outside of the nozzle 32 or along another path through the nozzle 32.
The first powder 40A, for example, may be deposited on the component 20 to repair a first type of substrate defect such as, but not limited to, the void 22. The second powder 40B, by contrast, may be deposited with the component 20 to repair a second type of substrate defect such as, but not limited to, the wear region 124 of
Although the above description relates to repairing a component, the teachings of this disclosure would also extend to forming a new component 20 such as shown in
The first powder 40A may include a mixture of metal alloy powder (e.g., substrate powder). The metal alloy powder may be selected to have a relatively high melting point and common or similar material properties as the substrate of component 20, e.g., an aluminum (Al) superalloy, a nickel (Ni) superalloy, a titanium (Ti) superalloy, etc.
During the powder deposition, the additive manufacturing device 24 of
As shown, the additive manufacturing device 24 may selectively deposit the first powder and/or the second powder over the substrate such that areas which need repair, and optionally areas adjacent and/or surrounding those areas, are filled with the first material 62A and/or coated with the second material 62B. In other embodiments, the first powder and/or the second powder may be deposited over an entirety of the substrate 42 and excess material may later be removed. The powders may be deposited as one or more layers.
Following the melting deposition first filler material 62A, may partially or completely fill the void 66. The second filler material 62B may provide a cladding over the substrate 42 to restore a dimensional parameter of and/or reinforce the wear region 124 and/or other regions.
The component may alternatively move relative to the x-ray machine. The scanning device may be a flat-panel volumetric CT or conventional multidetector CT scanner. The flat-panel detector has wide z-axis coverage that enables imagine of entire object in one axial acquisition.
Controller 100 may be implemented with a combination of hardware and software. The hardware may include at least the processing device 72 and the memory 74. The processing device 72 may include single-core and/or multi-core processors. The memory 74 is configured to store software or execution by the processing device. The software execution may control and/or facilitate performance of the several operations described in this application. The memory 74 may be a non-transitory computer readable medium. As an example, the memory 74 can be configured to include a volatile memory and/or a non-volatile memory.
The scanning device, in combination with a controller 100, is thus able to identify a surface geometry of the component, and to map spatial coordinates for at least a portion (or the entirety) of the component 20. Such mapping would identify dimensions and location of features such as the void 22, and the wear area 124.
The scanned data may be in the form of a computer aided design model file, such as a stereolithography model file. Controller 100 may compare the mapped substrate characteristics from the scanned data with respective characteristics from reference data. The reference data may be data input from an OEM design specification for the component 20. In other words, the controller 100 may compare the mapped characteristics from the scan of the current component 20 being worked on to corresponding characteristics of the design specification.
The controller 100 may generate a solid model of the scan data to compare to a solid model of a design space component. The controller 100 thereby evaluates the current state and condition of the component 20 and determines what additive operations need to be performed. Among the determined operations could be the amount of additive manufacturing materials to be deposited, which type, where to deposit the additive manufacturing materials, paths to follow for depositing of the additive manufacturing materials, all to put the component back to being closer to the design space.
When a new component is being manufactured the scan would likely be eliminated.
A flowchart of a method according to this disclosure is illustrated in
As shown in
At step 404 the component is then prepared for additive manufacturing repair. Any number of steps may be performed as known to prepare the component. One such step is shown in
Then, at step 406, the component 20 is scanned. The scanning device 103 is shown with x-ray machine 104 movable about the surface of the component and the image capture devices 104A and 104B capturing images. The scanning device 103 shown schematically with the x-ray machine 104 movable in a guide 105. As mentioned above, the component may alternatively move relative to the scanning device.
The scanned data may be aligned with reference data such as a design specification of the component or an OEM model. Because the vane may have shifted during an engine heat cycle, the individual surface of the model vanes are broken apart and aligned to create a substrate model from the scan. This creates a unique geometry to correct the performance of the part without returning the part to the original casting. This unique geometry represents a desired component file. Steps may further include importing pre-deposition data, reverse engineered surfacing and subsequent toolpath generation. The substrate model is essentially what the part to be repaired is now.
As step 408, the data from the scan is provided to the controller 100, and the additive manufacturing toolpath is determined based upon the scan.
As shown in
In the
The additive manufacturing machine applies material with an over application percentage to allow the following subtractive process to be successful. As an example, if a surface needs to have 0.02 inch added, the additive system may add an extra 50 percent. This results in 0.03 inch of buildup. After diffusion, the material may only have 0.025 inch remaining. Leaving 0.005 inch for the subtractive machining process to achieve the correct result.
Thus, as shown in
Next, at step 412 a toolpath is determined for removing the material 125 such that repaired component will approach its original state. Machining data will be developed in the controller 100 based upon the step 412 data. The desired component file is what is essentially compared to the substrate model.
Essentially, at step 412 the AM data is aligned to the substrate model. The result is then compared to reference data (e.g. the desired component file) and the subtractive machining toolpath is determined.
Then, at step 416 and as shown in
Examples of the machining tools 101, 102 and 210 may be any number of known material removable tools controlled to be movable about any number of axes.
The reference data used to develop the AM path and the machining path may be the same file or could include two distinct files. While specific reference data sets are mentioned, other reference data sets can be used.
In a featured embodiment, a method of manufacturing a component 20 includes scanning a component using computed tomography 103 to provide scanned data. Additive manufacturing data is developed 408 using the scanned data compared to reference data. Depositing powder 410 using an additive manufacturing device 201 based upon the additive manufacturing data to provide a first object the additive manufacturing device melting the powder. Determining predicted characteristics of the first object based upon the additive manufacturing data. The predicted characteristics of the first object are compared 412 to the reference data to provide machining data. Machining 416 the first object using the machining data then occurs.
In another embodiment according to the previous embodiment, the reference data includes data from a design specification for the component.
In another embodiment according to any of the previous embodiments, the depositing of the material in step c) repairs the component.
In another embodiment according to any of the previous embodiments, the depositing of a material in step c) forms a new component.
In another embodiment according to any of the previous embodiments, the component is a gas turbine engine component.
In another featured embodiment, a method of repairing of a component including a) scanning a component 103/406 using computed tomography to provide scanned data, b) comparing the scanned data to reference data to provide additive manufacturing data, c) depositing powder 410 on the component using an additive manufacturing device 24 based upon the additive manufacturing data to provide a first object, the additive manufacturing device melting the powder, d) determining predicted characteristics of the first object based upon the additive manufacturing data developed in step b) and the scanned data of step a), e) comparing the predicted characteristics 412 of the first object to the reference data to provide machining data 414 and f) machining 416 the first object using the machining data.
In another embodiment according to any of the previous embodiments, the reference data includes data from a design specification for the component.
In another embodiment according to any of the previous embodiments, the depositing of the material in step c) fills a void 22 in the component.
In another embodiment according to any of the previous embodiments, the depositing of a material in step c) also forms a cladding 123 over a substrate of the component.
In another embodiment according to any of the previous embodiments, a first material is utilized to fill the void, and a second different material is utilized to form the cladding.
In another embodiment according to any of the previous embodiments, the depositing of the material in step c) fills a void in the component.
In another embodiment according to any of the previous embodiments, the depositing of a material in step c) also forms a cladding over a substrate of the component.
In another embodiment according to any of the previous embodiments, a first material is utilized to fill the void, and a second different material is utilized to form the cladding.
In another embodiment according to any of the previous embodiments, the machining of step f) removes some of the material 125 deposited during step c).
In another embodiment according to any of the previous embodiments, the depositing of the material forms a cladding 123 over a worn surface 124 on the component.
In another embodiment according to any of the previous embodiments, the machining of step f) removes some of the material 125 deposited during step c).
In another embodiment according to any of the previous embodiments, the component is from a gas turbine engine.
In another featured embodiment, a system 99 for manufacturing a component 20 includes a scanning device 103 configured to scan a component using computed tomography and provide scanned data indicative of one or more characteristics of the component. An additive manufacturing device 24 is configured to deposit powder on the component to provide a first object, with the additive manufacturing device controlled by additive manufacturing data and having a laser 32 to melt the deposited powder. A machining device 102 is configured to remove material from the first object based upon machining data. A controller 100 is programmed to compare the scanned data with reference data to provide the additive manufacturing data. The controller is further programmed to compare the scanned data along with the additive manufacturing data to develop the machining data.
In another embodiment according to any of the previous embodiments, the deposited powder is alloy powder.
In another embodiment according to any of the previous embodiments, there are two different alloy powders.
Although embodiments have been disclosed, a worker of skill in this art would recognize that modifications would come within the scope of this disclosure. For that reason, the following claims should be studied to determine the true scope and content.
This application is a continuation-in-part of U.S. patent application Ser. No. 18/108,132 filed on Feb. 10, 2023.
Number | Date | Country | |
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Parent | 18108132 | Feb 2023 | US |
Child | 18116580 | US |