CN115320105A - Regulation and control method and system of additive manufacturing device and storage medium - Google Patents

Regulation and control method and system of additive manufacturing device and storage medium Download PDF

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Publication number
CN115320105A
CN115320105A CN202210778437.2A CN202210778437A CN115320105A CN 115320105 A CN115320105 A CN 115320105A CN 202210778437 A CN202210778437 A CN 202210778437A CN 115320105 A CN115320105 A CN 115320105A
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Prior art keywords
additive
additive manufacturing
electrical signal
electric signal
manufacturing device
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CN202210778437.2A
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赵永华
张宇航
王帅
关均铭
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Southern University of Science and Technology
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Southern University of Science and Technology
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Priority to CN202210778437.2A priority Critical patent/CN115320105A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B29WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29CSHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/30Auxiliary operations or equipment
    • B29C64/386Data acquisition or data processing for additive manufacturing
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B29WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29CSHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/30Auxiliary operations or equipment
    • B29C64/386Data acquisition or data processing for additive manufacturing
    • B29C64/393Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B33ADDITIVE MANUFACTURING TECHNOLOGY
    • B33YADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00Data acquisition or data processing for additive manufacturing
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B33ADDITIVE MANUFACTURING TECHNOLOGY
    • B33YADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00Data acquisition or data processing for additive manufacturing
    • B33Y50/02Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes

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  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Materials Engineering (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Optics & Photonics (AREA)
  • General Factory Administration (AREA)

Abstract

The application discloses a regulation and control method, a regulation and control system and a storage medium of an additive manufacturing device, and relates to the technical field of additive manufacturing, wherein the method comprises the following steps: performing voltage application operation on the additive manufacturing device to obtain a first additive electric signal; performing data processing operation on the first additive electrical signal to obtain a second additive electrical signal; performing data analysis operation on the second additive electrical signal according to a preset target additive electrical signal to obtain corresponding state information of the additive manufacturing device; and adjusting the additive manufacturing process parameters corresponding to the additive manufacturing device according to the state information. The adjusting and controlling method of the additive manufacturing device can adjust additive process parameters in real time in the production process of the additive manufacturing device, and the defective rate of products is reduced.

Description

Regulation and control method and system of additive manufacturing device and storage medium
Technical Field
The present disclosure relates to the field of additive manufacturing technologies, and in particular, to a method and a system for regulating an additive manufacturing apparatus, and a storage medium.
Background
The additive manufacturing is a manufacturing method for accumulating materials layer by layer, a complex three-dimensional entity can be converted into two-dimensional slices through the additive manufacturing, a scanning path is generated according to the shape of each two-dimensional slice, and finally, raw materials are stacked layer by layer and fused according to the generated scanning path to complete the construction of the three-dimensional entity.
Due to various factors involved in the additive manufacturing process, the quality of a final product is affected by the deficiency of any factor, however, in the related art, the quality detection procedure of additive manufacturing is usually set after the product is manufactured, so that the defective rate of the product is high.
Disclosure of Invention
The present application is directed to solving at least one of the problems in the prior art. Therefore, the application provides a regulating method and system of an additive manufacturing device and a storage medium, which can adjust additive process parameters in real time in the production process of the additive manufacturing device and reduce the defective rate of products.
In order to solve the technical problem, the following technical scheme is provided:
an embodiment of a first aspect of the present application provides a method for regulating an additive manufacturing apparatus, including:
performing voltage application operation on the additive manufacturing device to obtain a first additive electric signal;
performing data processing operation on the first additive electrical signal to obtain a second additive electrical signal;
performing data analysis operation on the second additive electrical signal according to a preset target additive electrical signal to obtain corresponding state information of the additive manufacturing device;
and adjusting the additive manufacturing process parameters corresponding to the additive manufacturing device according to the state information.
According to the regulation and control method of the additive manufacturing device in the embodiment of the first aspect of the application, at least the following beneficial effects are achieved: according to the adjusting and controlling method of the additive manufacturing device, the variable voltage operation is applied to the additive manufacturing device, so that the current is concentrated on the surface of a product due to the skin effect, a first additive electric signal is obtained, the first additive electric signal is analyzed, and the state information corresponding to the additive manufacturing device is obtained.
According to some embodiments of the first aspect of the present application, the additive manufacturing apparatus comprises a substrate and a powder bed disposed above the substrate, the first additive electrical signal comprising a puddle electrical signal and a powder bed electrical signal; the applying voltage operation to the additive manufacturing device to obtain a first additive electrical signal includes at least one of:
applying variable voltage operation to the substrate, and acquiring the electric signal of the molten pool at intervals of preset acquisition time;
and applying variable voltage operation to the powder bed, and acquiring the electric signal of the powder bed at intervals of preset acquisition time.
According to some embodiments of the first aspect of the application, the performing a data processing operation on the first additive electrical signal to obtain a second additive electrical signal includes:
performing a rectification operation on the first additive material electric signal to obtain a rectified additive material electric signal;
performing filtering operation on the rectified additive material electric signal to obtain a filtered additive material electric signal;
and performing amplification operation on the filtered additive material electric signal to obtain the second additive material electric signal.
According to some embodiments of the first aspect of the application, the status information includes spectral shift information and characteristic information, and the performing a data analysis operation on the second additive electrical signal according to a preset target additive electrical signal to obtain corresponding status information of the additive manufacturing apparatus includes:
performing spectrum analysis operation on the second additive material electric signal according to the target additive material electric signal to obtain the spectrum offset information;
and performing data processing on the target additive material electric signal and the second additive material electric signal according to a deep learning algorithm to obtain the characteristic information.
According to some embodiments of the first aspect of the application, performing a spectral analysis operation on the second additive electrical signal according to the target additive electrical signal to obtain the spectral shift information includes:
performing a spectrum change operation on the second additive electrical signal to obtain an additive electrical signal spectrogram;
and comparing the frequency spectrogram of the additive material electric signal with a preset frequency spectrogram corresponding to the target additive material electric signal to obtain the frequency spectrum offset information.
According to some embodiments of the first aspect of the application, the performing data processing on the target additive electrical signal and the second additive electrical signal according to a deep learning algorithm to obtain the characteristic information includes:
training to obtain a target characteristic model according to the deep learning algorithm and the target material increasing electric signal;
and inputting the second additive electrical signal and the additive electrical signal spectrogram into the target feature model to obtain the feature information.
According to some embodiments of the first aspect of the application, the adjusting, according to the state information, a corresponding additive process parameter of the additive manufacturing apparatus comprises:
judging the molten pool information of the additive manufacturing device according to the frequency spectrum offset information to obtain a judgment result;
and adjusting the additive manufacturing process parameters corresponding to the additive manufacturing device according to the judgment result and the characteristic information.
According to some embodiments of the first aspect of the present application, the determination comprises one of:
when the frequency spectrum offset information is larger than a preset frequency spectrum threshold value, the molten pool information is normal;
and when the frequency spectrum offset information is smaller than the preset frequency spectrum threshold value, the molten pool information is abnormal.
An embodiment of a second aspect of the present application provides a regulation and control system of an additive manufacturing apparatus, including:
at least one processor;
at least one program;
the programs are stored in the memory, and the processor executes at least one of the programs to implement:
a method of conditioning an additive manufacturing apparatus according to any one of the first aspects of the present application.
In a third aspect, embodiments of the present application provide a computer-readable storage medium, which stores computer-executable signals for performing:
a method of conditioning an additive manufacturing apparatus according to any one of the first aspects of the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
Additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flow chart of a method of conditioning an additive manufacturing device provided in some embodiments herein;
fig. 2 is a flow chart of obtaining a second additive electrical signal provided by some embodiments of the present application;
FIG. 3 is a flow chart of obtaining status information provided by some embodiments of the present application;
FIG. 4 is a flow chart for obtaining spectral shift information according to some embodiments of the present application;
FIG. 5 is a flow chart for obtaining feature information provided by some embodiments of the present application;
fig. 6 is a flow chart for adjusting additive process parameters based on state information as provided in some embodiments herein;
fig. 7 is a block diagram of a conditioning system of an additive manufacturing apparatus according to some embodiments of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different from that in the flowcharts. The terms etc. in the description and claims and the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In the description of the present application, if there are first and second described only for the purpose of distinguishing technical features, it is not understood that relative importance is indicated or implied or that the number of indicated technical features or the precedence of the indicated technical features is implicitly indicated or implied.
In the description of the present application, unless otherwise expressly limited, terms such as set, mounted, connected and the like should be construed broadly, and those skilled in the art can reasonably determine the specific meaning of the terms in the present application by combining the detailed contents of the technical solutions.
The additive manufacturing method is a manufacturing method for accumulating materials layer by layer, a three-dimensional entity can be converted into two-dimensional slices through the additive manufacturing, a corresponding scanning path is generated according to the shape of each slice, and finally, raw materials are stacked layer by layer and fused through a machine according to the generated scanning path, so that a product with a complex structure can be quickly and integrally molded. The additive manufacturing of metal is an important component of the technology, and in a typical metal additive manufacturing method, commonly used heat sources are: laser heat source, electron beam heat source and plasma heat source, and the common material supply methods include: powder feeding, powder laying, wire feeding and the like are combined with different heat sources and different material supply modes, and corresponding metal additive manufacturing process methods are also various.
Various factors are also involved in the additive manufacturing process, such as heat source power, scanning speed, forming path and the like, and the deficiency of any factor can affect the quality of the final product. The main defects of the additive manufacturing product can be divided into three types: the surface defects comprise high surface roughness, pores on the surface, uneven surface melting, cracks on the surface and the like; second, internal defects, including insufficient internal melting, internal pores, slag inclusions, internal cracks, etc.; and the third is precision defect, mainly refers to dimensional change, warping, cracks and the like of the product under the action of a heat source. The defects exist in the additive manufacturing process, but the existing quality detection program is arranged after the product is manufactured, the additive manufacturing device cannot be regulated and controlled in time, and the defects are processed in time, so that the failure rate of the additive manufacturing product is high.
On the other hand, a molten metal part with a certain shape, namely a molten pool, is formed in the metal additive manufacturing and forming process, the molten pool contains rich sound, heat, light and other information, and various characteristic signals in the forming process need to be collected and processed for realizing dynamic monitoring, so that the purpose of real-time regulation and control is achieved. The current additive manufacturing process realizes real-time monitoring mainly through a camera, an acoustic emission sensor, a spectrometer and a photodiode so as to respectively monitor three signal sources of thermal signals, acoustic signals and optical signals.
The monitoring method which is widely applied is to realize monitoring through a high-speed camera based on visual imaging and realize monitoring through a temperature sensor based on a thermal signal. The high-speed camera based on visual imaging realizes online monitoring on the shape and size of a molten pool by adopting a structured light method, and establishes a feedback mechanism so as to reduce the defects of warping, deformation and the like of an additive manufacturing product in the manufacturing process. In addition, the high-speed camera has high equipment cost and strict requirement on installation accuracy, and phenomena such as splashing and ionization are often accompanied in the additive manufacturing process, which can cause serious interference to the monitoring technology based on visual imaging, and the application of the technology is limited to a certain extent due to the defects.
The temperature sensor detection method based on the thermal signal measures the temperature of a molten pool and the distribution of the temperature around the molten pool, so that the parameters of the material increase manufacturing process are dynamically regulated and controlled, and the quality of products is improved. However, the amount of information data obtained by the temperature sensor is limited, only qualitative analysis can be performed, and the distribution information of the temperature of the molten pool cannot be expressed in a multidimensional manner, so that the method has certain limitations.
Moreover, the additive manufacturing process real-time monitoring methods have the problems that the whole area of a product in the additive manufacturing process cannot be monitored in real time due to the difficulty in mounting the sensor, or the real-time monitoring of the additive manufacturing process of the miniature part cannot be processed, and the like. And when the metal additive is used for printing a complex component, the regulation and control system can face the challenges of long-time complex working conditions and the like.
Referring to fig. 1, in a first aspect, an embodiment of the present application provides a method for regulating an additive manufacturing apparatus, including, but not limited to, step S110, step S120, step S130, and step S140.
Step 110, performing voltage application operation on the additive manufacturing device to obtain a first additive electric signal;
step S120, performing data processing operation on the first additive material electric signal to obtain a second additive material electric signal;
step S130, performing data analysis operation on the second additive electrical signal in combination with a preset target additive electrical signal to obtain state information corresponding to the additive manufacturing apparatus;
step S140, adjusting additive process parameters corresponding to the additive manufacturing apparatus according to the state information.
It should be noted that, in the adjusting and controlling method of the additive manufacturing apparatus, by performing the operation of applying the varying voltage to the additive manufacturing apparatus, the current is concentrated on the surface of the product due to the skin effect to obtain the first additive electrical signal, and the data processing operation is performed on the first additive electrical signal to filter the noise in the first additive electrical signal to obtain the second additive electrical signal, and then the data processing operation is performed on the second additive electrical signal to convert the second additive electrical signal into the state information corresponding to the additive manufacturing apparatus. On the other hand, the method and the device for regulating and controlling the additive manufacturing device have the advantages that the whole area real-time monitoring of products in the additive manufacturing process is realized, the real-time monitoring of the additive manufacturing process of the micro parts is also realized, and meanwhile, the problem of long-time complex working conditions is solved through the regulating and controlling method of the additive manufacturing device. More specifically, the current skin effect is: when alternating current or alternating electromagnetic field exists in the conductor, the current distribution in the conductor is not uniform, the current can be concentrated in the skin part of the conductor, namely the current is concentrated in the thin layer on the outer surface of the conductor, the closer to the surface of the conductor, the higher the current density is, and the smaller the current in the conductor is actually. The skin effect causes the resistance and the power loss of the conductor to increase, so the first additive electrical signal also changes with the change of the molten pool.
It will be appreciated that the additive manufacturing apparatus comprises a substrate and a powder bed, the powder bed being disposed above the substrate, the first additive electrical signal comprising a bath electrical signal and a powder bed electrical signal; performing an operation of applying a varying voltage to an additive manufacturing device resulting in a first additive electrical signal, comprising at least one of:
applying variable voltage operation to the substrate, and acquiring a molten pool electric signal at intervals of preset acquisition time;
and applying a variable voltage to the powder bed, and acquiring an electric signal of the powder bed at preset acquisition time intervals.
According to one embodiment of the application, the control method of the additive manufacturing device can be applied to a coaxial powder feeding laser additive manufacturing process, and monitoring required by the technology is characterized by a molten pool, including the temperature, the morphology, the stability and the like of the molten pool. This application is connected the output and protection resistance, the data acquisition module of base plate through being connected the input and the power module of base plate, has realized the real-time regulation and control to vibration material disk device. Specifically, under the action of a heat source, the temperature of a molten pool rises sharply, and the temperature of the molten pool is an important influence factor for determining the defect generation and the size precision of the additive manufacturing product. More specifically, after the data acquisition module acquires a first material increase electrical signal, the data acquisition module firstly filters noise in the first material increase electrical signal to obtain a second material increase electrical signal, and then the second material increase electrical signal is sent to the PC terminal, so that the PC terminal performs data processing operation on the second material increase electrical signal and converts the data processing operation into state information corresponding to the material increase manufacturing device, the state information is analyzed, when the state information is abnormal, factors influencing material increase manufacturing are obtained, corresponding material increase parameters are adjusted according to the factors influencing material increase manufacturing, the material increase parameters are fed back to a machine tool for material increase manufacturing, the material increase manufacturing process is dynamically regulated, and accuracy and robustness of the regulating and controlling system are improved.
According to another embodiment of the application, the control method of the additive manufacturing device of the application can be applied to a powder-laying laser additive manufacturing process, compared with the coaxial powder-feeding laser additive manufacturing, the powder-laying laser additive manufacturing not only needs to perform online monitoring on a molten pool, but also needs to bring a powder bed into a monitoring range, and the powder bed needs to be monitored and is characterized by continuity, and the discontinuity or partial area concentration of powder can cause insufficient melting of a workpiece, and the problems of inclusion of un-melted powder, air holes and the like. So need also monitor the powder bed, this application is connected the input of input, powder bed with the base plate with power module, is connected the output of base plate, powder bed's output and protection resistance, data acquisition module, has realized the real-time regulation and control to vibration material disk device. Specifically, in the additive manufacturing process, the powder bed lays powder on the substrate layer by layer to realize additive manufacturing, current can be concentrated on a layer of powder on the surface due to skin effect, the electric signal when the powder is uniform is different from the discontinuous signal when the powder is not uniform, and in order to improve the accuracy of regulation and control of the additive manufacturing device, when deviation reaches a certain value, intervention can be implemented, for example, a scraper is driven to scrape again to improve the uniformity of the powder. The acquisition operation is executed through the acquisition time that data acquisition module interval was preset to obtain two different electric signals of molten bath electric signal and powder bed electric signal, first vibration material disk electricity signal includes molten bath electric signal and powder bed electric signal. More specifically, after the data acquisition module acquires a first additive electrical signal, the data acquisition module firstly filters noise in the first additive electrical signal to obtain a second additive electrical signal, and then sends the second additive electrical signal to the PC terminal, so that the PC terminal performs data processing operation on the second additive electrical signal to convert the second additive electrical signal into state information corresponding to the additive manufacturing device, and analyzes the state information.
According to one embodiment of the application, the data acquisition module is a high-sensitivity voltage/current sensor, and data of the same point are repeatedly acquired at preset acquisition time intervals. Wherein, the acquisition time is not a fixed value, and can be adjusted according to the actual situation of the additive manufacturing process.
It can be understood that the control method of the additive manufacturing apparatus of the present application is applicable to additive manufacturing processes involving various heat sources such as an arc, an electron beam, a laser, and the like.
Referring to fig. 2, an embodiment of the present application provides a method for acquiring a second additive electrical signal in a regulation and control method of an additive manufacturing apparatus, including but not limited to step S210, step S220, and step S230;
step S210, performing rectification operation on the first additive material electric signal to obtain a rectified additive material electric signal;
step S220, performing filtering operation on the rectified additive material electric signal to obtain a filtered additive material electric signal;
and step S230, amplifying the filtered additive material electric signal to obtain a second additive material electric signal.
It should be noted that after the first additive electrical signal is acquired, noise in the first additive electrical signal needs to be filtered out, so as to obtain a more accurate second additive electrical signal on the basis of the first additive electrical signal. Specifically, after receiving a first material increase electrical signal, a data acquisition module of the application needs to perform rectification operation on the first material increase electrical signal first, and convert alternating current into unidirectional pulse voltage and current to obtain a rectified material increase electrical signal.
Referring to fig. 3, an embodiment of the present application provides a method for acquiring state information in a regulation and control method of an additive manufacturing apparatus, including but not limited to step S310 and step S320;
step S310, performing spectrum analysis operation on the second additive material electric signal according to the target additive material electric signal to obtain spectrum offset information;
and step S320, performing data processing on the target material increase electric signal and the second material increase electric signal according to a deep learning algorithm to obtain characteristic information.
It is understood that the state information includes spectrum shift information and characteristic information.
It should be noted that, the method further includes an analysis module of the PC, so that the second additive electrical signal is converted into the state information, the PC needs to perform a spectrum analysis operation on the second additive electrical signal to obtain spectrum offset information, and perform data processing on the target additive electrical signal and the second additive electrical signal according to a deep learning algorithm to obtain the feature information. Specifically, the analysis module is coupled to a plurality of analysis modes to comprehensively evaluate the stability of the additive manufacturing product during the forming process. More specifically, the spectrum analysis operation is advanced, because the deep learning algorithm needs to use the data obtained by the spectrum analysis operation, namely the spectrogram of the additive material electrical signal.
It should be noted that the target additive electrical signal is an electrical signal in an ideal state in the additive manufacturing process, the spectral shift information represents a difference between the second additive electrical signal and the electrical signal in the ideal state, and the characteristic information represents a defect in the second additive electrical signal.
Referring to fig. 4, an embodiment of the present application provides a method for acquiring spectrum offset information in a regulation and control method of an additive manufacturing apparatus, including but not limited to step S410 and step S420;
step S410, performing spectrum change operation on the second additive electrical signal to obtain an additive electrical signal spectrogram;
step S420, performing a comparison operation on the additive material electrical signal spectrogram and a preset spectrogram corresponding to the target additive material electrical signal to obtain spectrum offset information.
It should be noted that, in order to convert the second additive electrical signal into the spectrum offset information, a spectrum change operation needs to be performed on the second additive electrical signal to obtain a spectrogram of the second additive electrical signal, that is, an additive electrical signal spectrogram, and then the spectrogram of the additive electrical signal is compared with a preset spectrogram corresponding to the target additive electrical signal to obtain the spectrum offset information. Specifically, the larger the difference between the additive electrical signal spectrogram and the preset spectrogram corresponding to the target additive electrical signal is, the larger the spectrum shift information is, which indicates that the actual additive manufacturing situation is deteriorating.
Referring to fig. 5, an embodiment of the present application provides a method for acquiring characteristic information in a regulation and control method of an additive manufacturing apparatus, including but not limited to step S510 and step S520;
step S510, training according to a deep learning algorithm and a target material adding electric signal to obtain a target characteristic model;
step S520, inputting the second additive electrical signal and the additive electrical signal spectrogram into the target characteristic model to obtain characteristic information.
It should be noted that, in order to convert the second additive electrical signal into the feature information, a large number of target additive electrical signals need to be trained according to a deep learning algorithm to obtain a target feature model, then the second additive electrical signal and the additive electrical signal spectrogram are input into the target feature model, and the second additive electrical signal and the feature of the deep learning algorithm under an ideal state are compared through the target feature model to output the feature information. Specifically, after the characteristic information is obtained, the factors influencing the additive manufacturing process need to be analyzed, different characteristic information corresponds to different influencing factors, and the extraction and classification of the defects can be intelligently realized through the characteristic information.
According to an embodiment of the application, when the additive scanning speed in the additive manufacturing process is too high, a defect corresponding to the too high scanning speed may occur on an additive manufacturing product, and thus a first additive electrical signal acquired by a data acquisition module may also change correspondingly, so that the characteristic information output by a final target characteristic model may reflect that the scanning speed is too high. The regulating and controlling method of the additive manufacturing device can correspondingly regulate related additive process parameters according to the characteristic information.
Referring to fig. 6, an embodiment of the present application provides a method for adjusting additive process parameters according to state information in a regulation and control method of an additive manufacturing apparatus, including but not limited to step S610 and step S620;
step S610, judging the molten pool information of the additive manufacturing device according to the frequency spectrum offset information to obtain a judgment result;
and S620, adjusting additive process parameters corresponding to the additive manufacturing device according to the judgment result and the characteristic information.
It is understood that the additive process parameter includes at least one of heat source power, scan speed, layer height, scan strategy, and heat source diameter.
According to an embodiment of the application, the method can judge the molten pool information of the additive manufacturing device according to the frequency spectrum offset information to obtain a judgment result, and when the judgment result is normal, the current additive manufacturing process is stable, and all the additive manufacturing processes are normal, so that the additive manufacturing process parameters do not need to be adjusted, the current additive manufacturing process parameters can be maintained, and the adjustment is not performed. When the judgment result is abnormal, the current additive manufacturing process is changed, additive manufacturing is affected by the influence factors, and corresponding additive process parameters need to be adjusted according to the judgment result and the characteristic information in order to prevent the product from having defects.
According to another embodiment of the application, when the characteristic information output by the target characteristic model reflects that the power of the heat source is too high, the control method of the additive manufacturing device of the application will appropriately reduce the power of the heat source according to the characteristic information.
It is understood that the judgment result includes one of the following:
when the frequency spectrum offset information is larger than a preset frequency spectrum threshold value, the molten pool information is normal;
and when the frequency spectrum deviation information is smaller than the preset frequency spectrum threshold value, the molten pool information is abnormal.
According to an embodiment of the application, when the frequency spectrum offset information is smaller than a preset frequency spectrum threshold value, the current additive manufacturing process is stable, all the additive manufacturing processes are normal, and the molten pool information is normal; when the frequency spectrum deviation information is larger than the preset frequency spectrum threshold value, the current additive manufacturing process is changed, at the moment, the additive manufacturing is influenced by the influencing factors, and the molten pool information is abnormal.
It should be noted that the preset spectral threshold is not a fixed value, and can be adjusted according to the actual situation of the additive manufacturing process.
In a second aspect, referring to fig. 7, an embodiment of the present application provides a regulation system of an additive manufacturing apparatus, including:
at least one memory 200;
at least one processor 100;
at least one program;
the programs are stored in the memory 200, and the processor 100 executes at least one program to implement:
a method of conditioning an additive manufacturing apparatus as described in any embodiment of the first aspect of the application.
The processor 100 and the memory 200 may be connected by a bus or other means.
The memory 200, which is a non-transitory readable storage medium, may be used to store non-transitory software instructions as well as non-transitory executable instructions. Further, the memory 200 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. It will be appreciated that the memory 200 may alternatively comprise memory 200 located remotely from the processor 100, and that such remote memory 200 may be coupled to the processor 100 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 100 implements the method for regulating an additive manufacturing apparatus according to the above-described first embodiment by executing the non-transitory software instructions, instructions and signals stored in the memory 200 to perform various functional applications and data processing.
Non-transitory software instructions and instructions required to implement a regulation and control system of an additive manufacturing apparatus according to the above-described embodiments are stored in the memory 200, and when executed by the processor 100, perform a regulation and control method of an additive manufacturing apparatus according to an embodiment of the first aspect of the present application, for example, perform the above-described method steps S110 to S140 in fig. 1, method steps S210 to S230 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S420 in fig. 4, method steps S510 to S520 in fig. 5, and method steps S610 to S620 in fig. 6.
In a third aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable signals for performing:
a method of tuning an additive manufacturing apparatus as claimed in any one of the embodiments of the first aspect.
For example, the above-described method steps S110 to S140 in fig. 1, method steps S210 to S230 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S420 in fig. 4, method steps S510 to S520 in fig. 5, and method steps S610 to S620 in fig. 6 are performed.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
From the above description of embodiments, those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, or suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable signals, data structures, instruction modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer-readable signals, data structures, instruction modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present application have been described in detail with reference to the drawings, but the present application is not limited to the embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present application.

Claims (10)

1. A method of regulating an additive manufacturing apparatus, comprising:
performing voltage application operation on the additive manufacturing device to obtain a first additive electric signal;
performing data processing operation on the first additive electrical signal to obtain a second additive electrical signal;
performing data analysis operation on the second additive electrical signal according to a preset target additive electrical signal to obtain corresponding state information of the additive manufacturing device;
and adjusting the additive manufacturing process parameters corresponding to the additive manufacturing device according to the state information.
2. The method of regulating an additive manufacturing device according to claim 1, wherein the additive manufacturing device comprises a substrate and a powder bed disposed above the substrate, the first additive electrical signal comprising a melt pool electrical signal and a powder bed electrical signal; the applying voltage operation to the additive manufacturing device to obtain a first additive electrical signal includes at least one of:
applying variable voltage operation to the substrate, and acquiring the electric signal of the molten pool at intervals of preset acquisition time;
and applying variable voltage operation to the powder bed, and acquiring the electric signal of the powder bed at intervals of preset acquisition time.
3. The method of conditioning an additive manufacturing device according to claim 1, wherein the performing a data processing operation on the first additive electrical signal resulting in a second additive electrical signal comprises:
performing a rectification operation on the first additive material electric signal to obtain a rectified additive material electric signal;
performing filtering operation on the rectified additive material electric signal to obtain a filtered additive material electric signal;
and performing amplification operation on the filtered additive material electric signal to obtain the second additive material electric signal.
4. The method for regulating and controlling the additive manufacturing apparatus according to claim 1, wherein the state information includes spectrum shift information and characteristic information, and the performing a data analysis operation on the second additive electrical signal according to a preset target additive electrical signal to obtain corresponding state information of the additive manufacturing apparatus includes:
performing spectrum analysis operation on the second additive material electric signal according to the target additive material electric signal to obtain the spectrum offset information;
and performing data processing on the target additive material electric signal and the second additive material electric signal according to a deep learning algorithm to obtain the characteristic information.
5. The method for regulating an additive manufacturing apparatus according to claim 4, wherein performing a spectral analysis operation on the second additive electrical signal according to the target additive electrical signal to obtain the spectral shift information comprises:
performing a spectrum change operation on the second additive electrical signal to obtain an additive electrical signal spectrogram;
and comparing the frequency spectrogram of the additive material electric signal with a preset frequency spectrogram corresponding to the target additive material electric signal to obtain the frequency spectrum offset information.
6. The method for regulating and controlling the additive manufacturing device according to claim 5, wherein the obtaining the characteristic information by performing data processing on the target additive electric signal and the second additive electric signal according to a deep learning algorithm comprises:
training to obtain a target characteristic model according to the deep learning algorithm and the target material increasing electric signal;
and inputting the second additive electrical signal and the additive electrical signal spectrogram into the target feature model to obtain the feature information.
7. The method for regulating and controlling the additive manufacturing device according to claim 4, wherein the adjusting the additive process parameters corresponding to the additive manufacturing device according to the state information comprises:
judging the molten pool information of the additive manufacturing device according to the frequency spectrum offset information to obtain a judgment result;
and adjusting the additive manufacturing process parameters corresponding to the additive manufacturing device according to the judgment result and the characteristic information.
8. The method of regulating an additive manufacturing apparatus according to claim 7, wherein the determination result includes one of:
when the frequency spectrum offset information is larger than a preset frequency spectrum threshold value, the molten pool information is normal;
and when the frequency spectrum deviation information is smaller than the preset frequency spectrum threshold value, the molten pool information is abnormal.
9. A regulation system of an additive manufacturing apparatus, comprising:
at least one processor;
at least one program;
the programs are stored in the memory, and the processor executes at least one of the programs to implement:
a method of conditioning an additive manufacturing apparatus according to any one of claims 1 to 8.
10. A computer-readable storage medium having computer-executable signals stored thereon for performing:
a method of conditioning an additive manufacturing apparatus according to any one of claims 1 to 8.
CN202210778437.2A 2022-07-04 2022-07-04 Regulation and control method and system of additive manufacturing device and storage medium Pending CN115320105A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170056967A1 (en) * 2015-08-24 2017-03-02 Desktop Metal, Inc. Control of metallic electrohydrodynamic three-dimensional printing using feedback of surface characteristics
CN108723366A (en) * 2018-04-11 2018-11-02 华中科技大学 A kind of electron beam fuse transition state keeps system and keeping method
US20190118300A1 (en) * 2017-08-25 2019-04-25 Massachusetts Institute Of Technology Sensing and Control of Additive Manufacturing Processes
US20190134754A1 (en) * 2017-11-07 2019-05-09 Sigma Labs, Inc. Methods and systems for quality inference and control for additive manufacturing processes
CN110702686A (en) * 2019-09-27 2020-01-17 华中科技大学 Directional energy deposition process nondestructive testing equipment and method based on coherent imaging
CN111036908A (en) * 2019-12-30 2020-04-21 北京航空航天大学合肥创新研究院 Multi-component material laser additive manufacturing component monitoring method and system based on plasma signal measurement
CN111504980A (en) * 2020-04-26 2020-08-07 长春工业大学 L IBS online monitoring device and method in metal additive manufacturing process
CN113579253A (en) * 2021-07-19 2021-11-02 华中科技大学 Method and device for online monitoring of additive manufacturing multi-scale temperature field

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170056967A1 (en) * 2015-08-24 2017-03-02 Desktop Metal, Inc. Control of metallic electrohydrodynamic three-dimensional printing using feedback of surface characteristics
US20190118300A1 (en) * 2017-08-25 2019-04-25 Massachusetts Institute Of Technology Sensing and Control of Additive Manufacturing Processes
US20190134754A1 (en) * 2017-11-07 2019-05-09 Sigma Labs, Inc. Methods and systems for quality inference and control for additive manufacturing processes
CN108723366A (en) * 2018-04-11 2018-11-02 华中科技大学 A kind of electron beam fuse transition state keeps system and keeping method
CN110702686A (en) * 2019-09-27 2020-01-17 华中科技大学 Directional energy deposition process nondestructive testing equipment and method based on coherent imaging
CN111036908A (en) * 2019-12-30 2020-04-21 北京航空航天大学合肥创新研究院 Multi-component material laser additive manufacturing component monitoring method and system based on plasma signal measurement
CN111504980A (en) * 2020-04-26 2020-08-07 长春工业大学 L IBS online monitoring device and method in metal additive manufacturing process
CN113579253A (en) * 2021-07-19 2021-11-02 华中科技大学 Method and device for online monitoring of additive manufacturing multi-scale temperature field

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
夏卫生,肖阳,张进叶,杨帅: "金属增材制造无损检测方法研究进展", 《电焊机》, vol. 51, no. 8, 31 August 2021 (2021-08-31), pages 99 - 103 *
郭立杰等: "金属增材制造监测与控制技术研究进展", 《南京航空航天大学学报》, vol. 54, no. 3, 30 June 2022 (2022-06-30), pages 365 - 374 *

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