CONTROLLING AM SPATTER AND CONDUCTION
20200189183 ยท 2020-06-18
Inventors
- Saad A. KHAIRALLAH (Livermore, CA, US)
- Gabe Guss (Manteca, CA, US)
- Wayne E. King (Danville, CA, US)
- Sonny S. Ly (Mountain House, CA, US)
- Manyalibo Joseph Matthews (Livermore, CA, US)
- Alexander M. Rubenchik (Livermore, CA, US)
Cpc classification
B23K26/062
PERFORMING OPERATIONS; TRANSPORTING
B33Y50/02
PERFORMING OPERATIONS; TRANSPORTING
B23K26/0608
PERFORMING OPERATIONS; TRANSPORTING
B29C64/20
PERFORMING OPERATIONS; TRANSPORTING
B22F10/85
PERFORMING OPERATIONS; TRANSPORTING
B23K26/0626
PERFORMING OPERATIONS; TRANSPORTING
B22F10/368
PERFORMING OPERATIONS; TRANSPORTING
B29C64/393
PERFORMING OPERATIONS; TRANSPORTING
B29C64/153
PERFORMING OPERATIONS; TRANSPORTING
B23K26/0006
PERFORMING OPERATIONS; TRANSPORTING
International classification
B29C64/153
PERFORMING OPERATIONS; TRANSPORTING
B23K26/00
PERFORMING OPERATIONS; TRANSPORTING
B23K26/06
PERFORMING OPERATIONS; TRANSPORTING
B23K26/062
PERFORMING OPERATIONS; TRANSPORTING
Abstract
An intelligent feed forward model to control additive manufacturing (AM) laser powder bed fusion process and reduce spattering whereby defects are eliminated by controlling the laser power and reducing spattering through a computer model. This application describes using a proportional integral derivative (PID) controller to create a power map that reduces spattering.
Claims
1. A laser powder bed fusion additive manufacturing method for producing a product and reducing spattering, comprising the steps of: creating a power map to control a laser powder bed fusion additive manufacturing system for producing the product and reducing spattering, and using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering.
2. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering includes the step of starting said laser powder bed fusion additive manufacturing system at a low power that will partially melt powder and after an interval controlling said laser powder bed fusion additive manufacturing system at full melt power.
3. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering includes the step of first focusing said laser powder bed fusion additive manufacturing system at a low power that will partially melt powder and second focusing said laser powder bed fusion additive manufacturing system at a full power that will fully melt powder.
4. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering includes the step of focusing a first laser in said laser powder bed fusion additive manufacturing system at a low power that will partially melt powder and second focusing a second laser in said laser powder bed fusion additive manufacturing system at full power that will fully melt powder.
5. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of creating a power map includes the step of creating a tracer point in a computer model.
6. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing for producing the product and reducing spattering includes the step of using a proportional integral derivative controller to produce the product.
7. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing for producing the product and reducing spattering includes the step of using a computational model.
8. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing for producing the product and reducing spattering includes the step of predicting laser power requirements to achieve melt pool characteristics that reduces spattering.
9. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing for producing the product and reducing spattering includes the step of controlling the laser power through a computer model to predict laser power requirements to achieve melt pool characteristics that reduces spattering.
10. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing for producing the product and reducing spattering includes the step of using a proportional integral derivative controller to provide a closed control loop system to predict laser power requirements to achieve melt pool characteristics that are a function of the product geometry.
11. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 1 wherein said step of creating a power map includes the step of using a proportional-integral-derivative loop controller for creating a power map.
12. A laser powder bed fusion additive manufacturing method for producing a product and reducing spattering, comprising the steps of: creating a power map to control a laser powder bed fusion additive manufacturing system for producing the product and reducing spattering including the step of starting said laser powder bed fusion additive manufacturing system at a low power that will partially melt powder and after an interval controlling said laser powder bed fusion additive manufacturing system at full melt power, and using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering.
13. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 12 wherein said step of using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering includes the step of starting said laser powder bed fusion additive manufacturing system at a low power that will partially melt powder and after an interval controlling said laser powder bed fusion additive manufacturing system at full melt power.
14. A laser powder bed fusion additive manufacturing method for producing a product and reducing spattering using a laser beam and a powder bed containing powder particles wherein a vapor jet ejected from the powder bed entrains the powder particles in a plume, comprising the steps of: creating a power map to control a laser powder bed fusion additive manufacturing system for producing the product and reducing spattering including the step of determining an angle to the powder bed of said plume that reduces spattering, and using said power map to control the laser powder bed fusion additive manufacturing system for producing the product and reducing spattering including the step of setting the plume at said angle to the powder bed.
15. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 14 wherein said step of creating a power map to control a laser powder bed fusion additive manufacturing system for producing the product and reducing spattering including the step of determining an angle to the powder bed of said plume that reduces spattering includes the step of using a proportional-integral-derivative loop controller.
16. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 15 wherein said step of creating a power map to control a laser powder bed fusion additive manufacturing system for producing the product and reducing spattering including the step of determining an angle to the powder bed of said plume that reduces spattering includes the step of using a camera and proportional-integral-derivative loop controller.
17. The laser powder bed fusion additive manufacturing method for producing a product and reducing spattering of claim 16 wherein said step of creating a power map to control a laser powder bed fusion additive manufacturing system for producing the product and reducing spattering including the step of determining an angle to the powder bed of said plume that reduces spattering includes the step of using an infrared camera and proportional-integral-derivative loop controller.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] The accompanying drawings, which are incorporated into and constitute a part of the specification, illustrate specific embodiments of the apparatus, systems, and methods and, together with the general description given above, and the detailed description of the specific embodiments, serve to explain the principles of the apparatus, systems, and methods.
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DETAILED DESCRIPTION OF SPECIFIC EMBODIMENTS
[0022] Referring to the drawings, to the following detailed description, and to incorporated materials, detailed information about the apparatus, systems, and methods is provided including the description of specific embodiments. The detailed description serves to explain the principles of the apparatus, systems, and methods. The apparatus, systems, and methods are susceptible to modifications and alternative forms. The application is not limited to the particular forms disclosed. The application covers all modifications, equivalents, and alternatives falling within the spirit and scope of the apparatus, systems, and methods as defined by the claims.
[0023] Referring to the drawings, to the following detailed description, and to incorporated materials, detailed information about the apparatus, systems, and methods is provided including the description of specific embodiments. The detailed description serves to explain the principles of the apparatus, systems, and methods. The apparatus, systems, and methods are susceptible to modifications and alternative forms. The application is not limited to the particular forms disclosed. The application covers all modifications, equivalents, and alternatives falling within the spirit and scope of the apparatus, systems, and methods as defined by the claims.
[0024] The inventors have developed a process based on the knowledge that the direction of the metal vapor plume observed during a powder bed based Additive Manufacturing (AM) process indicates how close is the AM process to the undesirable keyhole regime and also powder spatter. Using a combination of in-situ plume angle measurement, surrogate modeling and controlling the laser power or speed, the powder plume's direction can help control the melt pool depth, i.e. melt pool morphology under the laser, as well as the spatter direction and prevent keyholes and keyhole pores. In various embodiments the inventor's processes utilize a set of enabling tools summarized below.
[0025] Step 1Ability to observe the metal vapor plume in the AM machine, and measure the angle of the plume relative to the powder bed plane.
[0026] Step 2Relate the melt plume direction to the actual melt pool depth. To perform step 2, one can use a pre-computed database of melt depth versus power and scan speed. This can be built using high fidelity simulations or reduced order models or simply an experimental database that relates power and scan speed to melt pool depth and the angle of the indentation under the laser/electric beam.
[0027] Step 3Once a relation is made between the measured vapor plume angle to the melt pool depth for a given laser power and scan speed, decide if the resulting depth is advantageous to the AM build. For example, the requirement could be that the melt pool should not be deep in the keyhole regime, nor far away in the weak conduction regime. The depth should be a little bit more than the powder thickness, penetrating enough to fuse the layers. This step can be automated and incorporated into a closed loop/PID controller process, so as the melt depth is controlled by controlling laser power and scan speed which in turn control the plume direction.
[0028] By surrogate model, Applicants mean some computationally fast model that can give good estimates of melt depth. The model can be based on a database, that connects the melt pool depth with the applied power, given a laser speed. This relationship is known to be linear. The database can be assembled by doing a parameter study varying power and scan speed and measuring the melt pool depth. For a given scan speed, the melt depth can be measured experimentally or modeled using a high fidelity model, for two given powers. That should be enough due to the linear relationship between power and depth. Other deterministic models include but are not limited to Eager Tsai model, a finite element continuum calculation that uses heat conduction only, a discrete element method based model. One would compute the normal direction to the melt line below the laser. The normal gives the direction of the plume. The model can also be statistical based using Gaussian processes to build a response surface. Also, for visualizing the plume, a trained computer vision machine learning model based for instance on neural network could be used to associate the plume direction with favorable or unfavorable conditions as determined by melt pool depth requirement.
[0029] The inventors have developed an additive manufacturing (AM) power map for a powder bed fusion system that reduces spattering. The power map describes desired laser power changes to reduce spattering as the laser moves along a path. When the power map is adopted by an AM machine, the laser power is changed appropriately to prevent spattering and defects caused by spattering. Referring now to the drawings, Applicants' in
[0030] In
[0031] The graph 100 then shows the laser power rising to a power level 104 that will be maintained as the laser travels over the powder bed. The laser is shown being at a relative constant power in order to produce a constant melt depth in the straight line path 104. This is achieved by moving the fictitious tracer point along the path of the laser at a user input melt depth and requiring the temperature at that tracer point to be of a certain fixed value equal to melt temperature.
[0032] Referring to
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[0042] Referring to
[0043] The components of
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[0049] Referring to
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[0055] Referring to
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[0061] Referring to
[0062] Referring to
[0063] Referring to
[0064] The inventors' apparatus, systems, and methods produce a power map that describes laser power changes as the laser beam moves along a path to create the product or part. The map shown is a fractional power versus time. The time is related to the laser's position on the build plate in time. The fractional power is a factor that multiplies the total power input to the code, to retrieve the actual power that was applied at the particular time. When the power map is adopted by an AM machine, laser power is changed appropriately to prevent defects in the product or part. The power map is specific to the metal used as well as to the geometry of the build and the scan speed. It will have to be repeated for each case. But once it is done, it can be reused.
[0065] In one embodiment the inventors' apparatus, systems, and methods uses a computer model with a feed back loop control, that dynamically changes the laser power, so as to meet a certain criterion. The criterion that was exhibited in this document pertains to tracking one tracer point that follows the laser at a given location depth in the substrate and controlling the temperature at that tracer point to be a fixed value equal to the melt temperature. In this problem, the algorithm used is based on Proportional Integral Derivative controller or PID. The PID is used to maintain a fixed temperature at a given depth. This will be imposed by the user. The PID does that by controlling the power to achieve the desired fixed temperature at the desired melt pool depth. A computer model is used to generate the appropriate power to maintain a constant temperature at the tracer point. In this case, the melting temperature of stainless steel was imposed at that point, so as to control the melt pool depth. Referring to
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[0077] Although the description above contains many details and specifics, these should not be construed as limiting the scope of the application but as merely providing illustrations of some of the presently preferred embodiments of the apparatus, systems, and methods. Other implementations, enhancements and variations can be made based on what is described and illustrated in this patent document. The features of the embodiments described herein may be combined in all possible combinations of numerical methods, reduced order models, machine learning models based on neural networks for example, diagnostic apparatus such as XRays or pyrometers, modules, systems, and computer program products. Certain features that are described in this patent document in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination. Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. For instance, the PID controller could be coupled to an actual AM machine and controlling AM parameters while monitoring variables such as depth provided by Xrays or temperature provided by pyrometers, or machine learning models. Moreover, the separation of various system components in the embodiments described above should not be understood as requiring such separation in all embodiments.
[0078] Although the description above contains many details and specifics, these should not be construed as limiting the scope of the application but as merely providing illustrations of some of the presently preferred embodiments of the apparatus, systems, and methods. Other implementations, enhancements and variations can be made based on what is described and illustrated in this patent document. The features of the embodiments described herein may be combined in all possible combinations of methods, apparatus, modules, systems, and computer program products. Certain features that are described in this patent document in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination. Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Moreover, the separation of various system components in the embodiments described above should not be understood as requiring such separation in all embodiments.
[0079] Therefore, it will be appreciated that the scope of the present application fully encompasses other embodiments which may become obvious to those skilled in the art. In the claims, reference to an element in the singular is not intended to mean one and only one unless explicitly so stated, but rather one or more. All structural and functional equivalents to the elements of the above-described preferred embodiment that are known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the present claims. Moreover, it is not necessary for a device to address each and every problem sought to be solved by the present apparatus, systems, and methods, for it to be encompassed by the present claims. Furthermore, no element or component in the present disclosure is intended to be dedicated to the public regardless of whether the element or component is explicitly recited in the claims. No claim element herein is to be construed under the provisions of 35 U.S.C. 112, sixth paragraph, unless the element is expressly recited using the phrase means for.
[0080] While the apparatus, systems, and methods may be susceptible to various modifications and alternative forms, specific embodiments have been shown by way of example in the drawings and have been described in detail herein. However, it should be understood that the application is not intended to be limited to the particular forms disclosed. Rather, the application is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the application as defined by the following appended claims.