Method for analyzing and monitoring process parameters and component data during an additive manufacturing process

Abstract

The invention relates to a method for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process, having the steps of generating a target parameter set of a component to be additively manufactured, wherein the target parameter set comprises highly spatially resolved data relating to target process parameters and / or target component data of the component, carrying out multiple additive manufacturing steps in order to produce a sub-region of a component, detecting measurement data of process parameters of the manufacturing steps of the sub-region and / or component data of the sub-region, combining the detected measurement data in order to form an actual data set, analyzing the detected measurement data, and storing the actual data set and the target data set in a data set.

Description

[0001] METHOD FOR ANALYSIS AND MONITORING OF PROCESS PARAMETERS AND COMPONENT DATA DURING AN ADDITIVE MANUFACTURING PROCESS

[0002] The invention relates to a method for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process, comprising the method steps of creating a target parameter set of a component to be additively manufactured, wherein the target parameter set comprises spatially high-resolution data on target process parameters and / or target component data of the component, carrying out a plurality of additive manufacturing steps for producing a sub-area of ​​a component, recording measurement data of process parameters of the manufacturing steps of the sub-area and / or component data of the sub-area, summarizing the recorded measurement data to form an actual data set, analyzing the recorded measurement data, and storing the actual and target data sets in one data set.

[0003] State of the art

[0004] 3D printing or additive manufacturing is a comprehensive term for all manufacturing processes in which material is applied layer by layer to create three-dimensional components. The layer-by-layer construction is computer-controlled from one or more liquid or solid materials according to specifications from a CAD / CAM system. The layers can then be divided into strips, particularly in direct energy deposition processes. In addition, in so-called hatching, a layer is divided into strips (hatches) and parallel vectors are distributed within them. With powder bed-based technologies, such as selective laser melting, the component is manufactured without further subdivision of the layers. When building up the workpiece layer by layer, a print head or a laser beam is usually used horizontally, i.e.in the X-Y plane and simultaneously material webs are applied or solidified using the print head or laser. Once a layer is completed, the build plate on which the workpiece is manufactured is usually moved vertically downwards, i.e. in the Z direction, and another layer is started. When applying or melting the layers, the workpiece can experience problems such as cracking, deformation and an uneven crystal structure, depending on the type of material applied and the set process parameters (e.g. temperature, feed). In other cases, this can even lead to the entire manufacturing process having to be stopped. In the prior art, a process plan is usually created only on the basis of the geometric design of a workpiece. If such a process plan is executed, it can lead to a phenomenon that a specific section of the workpiece in a manufacturing process, e.g.overheats and it is difficult to effectively control the temperature of the workpiece.

[0005] It is therefore an object of the invention to provide an improved method for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process, with which manufacturing errors can be compensated during the implementation of the additive manufacturing process.

[0006] This object is achieved by means of the method according to the invention for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process. Advantageous embodiments of the invention are set forth in the subclaims.

[0007] The method according to the invention for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process comprises six method steps: In the first method step, a target parameter set for a component to be additively manufactured is created, wherein the target parameter set comprises spatially high-resolution data on target process parameters and / or target component data of the component. Target process parameters contain, for example, data on the number of process steps, process temperature, the volume of material to be dispensed, the extrusion speed, the mass flow, the feed rate, the acceleration, the exposure time, the print weight and / or the print volume. Target component data of the component contain, for example, wall thicknesses, layer heights, component structure, the density, the infill structure. For each individual manufacturing step, the relevant target process parameters and target component data are linked to one another.

[0008] In the second process step, several additive manufacturing steps are carried out to produce a sub-area of ​​a component. The techniques used by an additive manufacturer to produce a component include, for example, extrusion deposition or selective deposition modeling (SDM), techniques such as fused deposition modeling (FDM) and fused filament fabrication (FFF), stereolithography (SLA), polyjet printing (PJP), multijet printing (MJP), selective laser sintering (SLS), selective laser melting (SLM), three-dimensional printing (3DP), techniques such as inkjet printing (CJP), directed energy deposition (DED), and the like. A sub-area of ​​the component is, for example, a layer and / or a sub-area of ​​a layer.

[0009] In the third process step, measurement data from the process parameters of the manufacturing steps of the sub-area and / or component data of the sub-area are collected. Process parameters include, for example, data on the number of process steps, process temperature, the volume of material to be applied, the print weight, and / or the print volume. Component data for the component include, for example, wall thicknesses, layer heights, and the component structure. In an optional embodiment, the third process step is carried out entirely or partially in parallel with the second process step.

[0010] In the fourth step, the recorded measurement data is summarized to create an actual data set. The actual and target data sets can be stored in a single data set.

[0011] In the fifth step, the acquired measurement data is analyzed. The analysis includes, in particular, a deviation between the actual data set and the target data set. In an alternative embodiment, this analysis can also be performed based on results from previous prints and / or calibration prints. In the sixth step, the actual and target data sets are saved in one data set. In an optional embodiment, the analysis result from the fifth step is also saved with the target and actual data sets.

[0012] The method according to the invention for providing a method instruction for the additive manufacturing of a building structure is computer-aided, whereby the term "computer-aided" is used, for example, in this document in such a way that one or more computers execute or execute at least one method step of the method. Computers can be, for example, personal computers, servers, handheld computer systems, pocket PC devices, mobile radio devices, and other communication devices that can process data in a computer-aided manner, as well as processors and other electronic devices for data processing, which can also be networked.

[0013] The starting point for additive manufacturing is a geometric description of the workpiece using a dataset. Using 3D modeling software (e.g., a CAD program), the dataset for the structural design of the component to be manufactured is created. This dataset contains the three-dimensional geometric data for production using the additive manufacturing process. A slicer converts the geometry into printable subsegments in the form of machine code (e.g., G-code).

[0014] Measurement and process parameters are summarized in a protocol for each component. This ensures traceability and the association of measurement data with the component. The generated actual and target data sets provide virtually complete information regarding the produced component quality (dimensional accuracy, surface quality, and strength) and form the basis for simplified process certification (e.g., according to IATF 16949). IATF 16949 is recognized worldwide by manufacturers in the automotive industry as the standard for quality management systems.

[0015] In a further development of the invention, the acquisition of measurement data of process parameters and / or component data occurs continuously. In particular, the acquisition takes place during the additive manufacturing process. The measurement data includes, for example, melt temperatures during the discharge and preparation processes, melt pressure during the discharge and preparation processes, print speed and acceleration values ​​of the print head, general geometric shape and dimensions of the component, and vibration measurements. Continuous, as defined in this document, means that the measurement data is acquired for each individual print segment.

[0016] The term "high-resolution" is used in this document to mean: a spatial high-resolution measurement and means the recording of data with an accuracy of 0.1 mm for a component measuring approximately 6x6x6mm to 30x30x30mm and / or at least an accuracy based on the specifications in the tolerance tables of ISO 2768 and ISO 22081. The measurement accuracy is to be understood in such a way that the specifications from ISO 2768 and ISO 22081 regarding tolerances for form and position can be derived from the measured data.

[0017] In a further embodiment of the invention, measurement data of process parameters and / or component data are recorded throughout the entire manufacturing process. This ensures dimensional accuracy or a definable maximum deviation between the target and actual geometry.

[0018] In a further embodiment of the invention, the measurement data is analyzed in situ. The analysis is carried out in the same way as the acquisition of measurement data during the additive manufacturing process.

[0019] In a further embodiment of the invention, the component to be manufactured is divided into layers, with production taking place layer by layer, with the recording and analysis of the measurement data taking place for a partial area of ​​a manufactured layer. Based primarily on 3D data and temperature as well as component cooling, optimal fusion of the layers is sought during the process. Based on a previously manufactured layer, contact surfaces of the melt strands are identified based on 3D data. In a further embodiment of the invention, the actual and / or target process parameters and / or component data are recorded, analyzed and / or stored in high resolution and / or three-dimensionally. After each layer, this is measured using, for example, a 3D scanner, a line profile sensor or a snapshot sensor (strip light). Continuous recording of further measurement data (temperature, vibrations, etc.) and process parameters such as, for example,Control parameters of the motors (current, voltage, position control values ​​(encoder values, etc.), component air cooling, print head cooling.

[0020] In a further embodiment of the invention, the actual and / or target process parameters and / or component data are recorded, analyzed, and / or stored for sub-areas of the component, wherein the sub-areas are part of a layer. The size of the sub-areas of a layer depends, among other things, on the component to be manufactured and the material.

[0021] In a further embodiment of the invention, a virtual target / actual process and component copy of the component is created from the actual and target process parameters and / or component data. In the context of the invention, a "virtual target / actual process and component copy" can be understood, for example, as a digital image, particularly in the form of a data model or data structure, of a real product, (technical) article, or (physical) object. This can be realized particularly for the additively manufactured workpiece.

[0022] In a further embodiment of the invention, the actual and target process parameters and / or component data are stored for each manufactured layer. Actual and target process parameters and / or component data are summarized in a protocol for each component. Traceability and the association of measurement data with the component are optionally ensured by marking each component.

[0023] In a further embodiment of the invention, the actual and / or target process parameters include the process temperature, the dispensed material volume, the print weight, and / or the print volume. In a further embodiment of the invention, the actual and / or target component data include the geometric data of the component, the layers of the component, and / or the sub-regions of the component and / or the layers. Other data include, for example, the flatness of two defined surfaces, the parallelism of two defined surfaces, the roundness of through holes, the dimensional accuracy of various defined distances of the external geometry, and the total mass of the component for a defined component density.

[0024] In a further embodiment of the invention, the recorded measurement data is analyzed by comparing the recorded measurement data with the target data set. The actual dispensed volume is preferably determined in comparison to the target volume based on 3D data, taking shrinkage processes into account. For this purpose, for example, calibration prints are carried out in preparation for each nozzle and material type. This ensures dimensional accuracy or a definable, maximum deviation between the target and actual geometry. This not only ensures dimensional accuracy and accuracy of fit, but also reduces or eliminates post-processing processes and is a prerequisite for achieving specified component strengths. Deviations from dimensions and tolerances are determined based on tolerances from technical drawings or CAD data.

[0025] In a further development of the invention, the printing result is analyzed. The entire manufactured component can be analyzed and optionally documented based on a comparison of the recorded measurement data with the target data set. The generated actual and target data sets provide almost complete information regarding the produced component quality (dimensional accuracy, surface quality, and strength) and form the basis for simplified process certification.

[0026] In a further embodiment of the invention, the results of the analysis are visualized at discrete points in time. The analysis can be presented as compliance with or corresponding deviations from dimensions and tolerances and output as a report (visually and as text, e.g., as a table).

[0027] In a further aspect of the invention, the visualization is performed in a 3D model. The analysis can be presented as compliance with or corresponding deviations from dimensions and tolerances in 3D and output as a report. The visualization provides the basis for simplified process certification (e.g., according to IATF 16949).

[0028] In a further embodiment of the invention, deviations between the actual data and the target data are visually marked in the visualization. This also simplifies process certification.

[0029] In a further embodiment of the invention, manufacturing errors are identified by analyzing the deviations between actual and target data. The identification of manufacturing errors in a sub-area of ​​a shift forms the basis for adjusting production in subsequent shifts.

[0030] In a further embodiment of the invention, complements and / or process adjustments are determined from the manufacturing errors. For this purpose, the target and actual data are analyzed based on the results of previous prints and / or calibration prints, or the complements and / or process adjustments are determined. For example, if too little material is applied to a portion of a layer, the missing volume (complement) is determined. The material flow, travel speed, and / or temperature can also be corrected. During calibration prints for a new material and / or nozzle combination, specific test specimens are printed, and optimal process parameters for this material and / or nozzle combination are determined and saved. These include, for example, melting temperature, print speeds as a function of radius / acceleration, extrusion multiplier, and / or mass flow.When analyzing the target and actual data, this data is used to determine the complements or process adjustments. Alternatively, a previous 3D print with a similar geometry and / or material combination is used for the analysis. If errors occurred in this previous 3D print and / or were corrected, this correction is used for the complement and / or process adjustments. The previous print process was saved in a virtual component copy, and the knowledge gained is used for the current geometry to prevent the error type in advance (before printing begins). In a further embodiment of the invention, a printable correction code is determined from the complements. The process parameters for producing the subsequent layers are adjusted in such a way that manufacturing errors are compensated.

[0031] In a further embodiment of the invention, the correction code replaces the original print code as printing continues. In the layer currently being produced, an approximation of the contact area to the previous layer is made based on the melt strand shape, and the possible contact areas are determined for the next layer. Based on the analysis, the process parameters extrusion rate, temperature, and component cooling are adjusted for the upcoming layers in the correction code. The adjustment is validated from layer to layer and adjusted if necessary. All adjustments and relevant measurement data are saved in the virtual target / actual process and component copy; the improvement resulting from the adjustment is documented.

[0032] The measured data provides the basis for deriving component properties, such as adhesion between the individual print layers and between the contact surfaces of the melt strands, predominantly based on 3D data, determined positioning accuracy in X, Y and Z coordinates (e.g. using linear position measuring systems), positioning speeds and accelerations when depositing the melt strand, mass flow of the extrusion process, continuous mass determination of the component (scale in the print bed and / or through 3D volume determination) temperatures (melt, build space and print bed temperatures as well as component temperature control in general) - optimal layer fusion and strength in general are aimed for during the process. For optimal setting andIn addition to obtaining the listed parameters, additional reference measurements, for example, tensile compression tests on printed and process-recorded test specimens with different calibrations, can be used to select the process parameters. Depending on the material, optimal slicing or process parameters can be determined and continuously ensured and verified through monitoring. In a further development of the invention, additional measurement data is obtained from the partial areas of the component printed with the correction code, which are then analyzed using the above method. The partial areas of the layers produced using the correction code are also examined and analyzed for manufacturing defects.

[0033] In a further aspect of the invention, the manufacturing method used is fused filament fabrication (FFF). Fused filament fabrication (FFF) refers to 3D printing processes that build objects layer by layer from molten material. Fused filament fabrication (FFF), also known as fused deposition modeling or filament freeform fabrication, is a 3D printing process that uses a continuous filament made of a thermoplastic material. The filament is fed from a large spool through a movable, heated extruder head of the printer and applied to the growing workpiece. The print head is moved under computer control to define the printed shape. Typically, the head moves in two dimensions to deposit one horizontal plane or layer at a time; the workpiece or print head is then moved vertically by a small amount to begin a new layer.The speed of the extruder head can also be controlled to stop and start deposition, creating a discontinuous layer without any threads or drops between sections. Alternatively, 3D printing can be used with granules as the starting material for creating the extrusion medium. For example, plastic granules are then plasticized in an extruder screw or by the feed of a piston and extruded through a nozzle.

[0034] In a further development of the method according to the invention, one or more test prints of test geometries are carried out before the physical start of printing, i.e. the application and / or solidification of component layers of the component to be manufactured, and based on the recording and evaluation of the associated process parameters and / or component data, an automatic optimization of the process parameters and / or component data takes place before the start of printing. In a further embodiment of the invention, one or more virtual component copies created in connection with previously printed components are used before the physical start of printing, i.e. the application and / or solidification of component layers of the component to be manufactured, in order to carry out an automatic optimization of the process parameters and / or the component data before the start of printing.

[0035] Embodiments of the method according to the invention are shown schematically in simplified form in the drawings and are explained in more detail in the following description.

[0036] They show:

[0037] Fig. 1 : Embodiment of the method according to the invention

[0038] Fig. 2: Embodiment of the method according to the invention, implementation of process parameters and component data

[0039] Fig. 3: Embodiment of the method according to the invention, correction code

[0040] Fig. 4: Sectional drawing of the frequency conversion recording unit according to the invention

[0041] Fig. 5: Sectional drawing of the frequency conversion recording unit according to the invention

[0042] Fig. 6: Sectional view of another laser arrangement according to the invention

[0043] Fig. 1 shows an embodiment of the method 1 according to the invention for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process. For this purpose, a target parameter set of a component to be additively manufactured is created 10. This target parameter set is saved and can be retrieved to carry out the additive manufacturing of the component. Furthermore, an actual data set is created 20 while the additive manufacturing is being carried out. For this purpose, measurement data is continuously recorded during the additive manufacturing process. The recorded measurement data are summarized, and the actual data set 20 is created from the summarized measurement data. The actual data set and the target parameter set are saved in a data set 30. This saved data set 30 is the virtual target / actual process and component copy of the additively manufactured component.

[0044] Fig. 2 shows a further exemplary embodiment of the method 1 according to the invention. Here, a target parameter set for the component to be additively manufactured is also created 10. In this exemplary embodiment, in addition to the previous exemplary embodiment (see Fig. 1), target process parameters and target component data are read in 11, 12. In particular, the target parameter set comprises spatially high-resolution data on target process parameters and / or target component data of the component. The target process parameters and / or target component data are developed from the geometric and mechanical requirements of the component to be produced, also based on the results of previous prints and / or calibration prints. The resolution depends on the component to be additively manufactured.To create the actual data set, the actual process parameters and actual component data are also read in. 21, 22, whereby the actual process parameters and actual component data are created based on the acquired measurement data. The acquired measurement data are summarized, and the actual data set is created from the summarized measurement data. The actual data set and the target parameter set are saved in one data set as a virtual target / actual process and component copy.

[0045] Fig. 3 shows an exemplary embodiment of additive manufacturing incorporating the method 1 according to the invention. The starting point for implementing additive manufacturing is a description of the workpiece using a data set. Using 3D modeling software (e.g., a CAD program), the data set for the structural design of the component to be manufactured is created 100. The data set contains the three-dimensional data for processing for production using the additive manufacturing process.

[0046] Subsequently, preprocessing 110 takes place on the build platform in such a way that the data set comprises a volume model of the component to be manufactured and is exported in another form that represents the self-contained surface geometry of the object. A manufacturing data set is generated from the data set, which contains a preparation of the workpiece's geometry in layers or slices suitable for additive manufacturing. This data transformation is referred to as slicing 120.

[0047] In addition, the additive manufacturer requires additional process parameters and tool paths for production, e.g., the height of the layers to be produced, the orientation of the writing vectors, i.e., the direction and length of the path. These process parameters and tool paths are generated in the following process step 130 and sent to the additive manufacturer. The process parameters and tool paths with the component data are created to form the target parameter set of the component to be additively manufactured 10. In addition to these target process parameters, the created target parameter set contains data on the process temperature, the material volume to be dispensed, the print weight, and / or the print volume. The layer heights can be calculated by the slicer or defined by the user.

[0048] The actual manufacturing steps 140 then take place, beginning with the first manufacturing step (see Fig. 4 ff). In each manufacturing step, a sub-area of ​​the layers of the component to be manufactured is manufactured. In this exemplary embodiment, the first two layers of the component are additively manufactured 150 according to the 10 process parameters and component data stored in the target parameter set. The continuously recorded 23 measurement data of the actual process parameters and actual component data of the individual manufacturing steps are analyzed in-situ for each sub-area 24a, 24b. The analysis 24a, 24b is performed separately for each layer, and an actual data set is created 20 and saved for each manufactured layer. In addition, a virtual target / actual process and component copy is created and saved 30 for each manufactured layer.

[0049] The analysis 24a, 24b of the 23 recorded measurement data for the first two layers shows no deviation from the 10 process parameters and component data stored in the target parameter set, or the deviation is within an adjustable tolerance. Additive manufacturing continues with the 10 process parameters and component data stored in the target parameter set. During production of the third layer, the analysis 24a, 24b shows that the tolerance for a deviation of the 23 recorded measurement data from the 10 process parameters and component data stored in the target parameter set has been exceeded 160; the third layer has two defective sub-areas X with manufacturing errors. For the analysis 24a, 24b, on the one hand, deviations of the actual data from the target data are taken into account, and on the other hand, information from previously performed test prints and / or calibration prints is used.In this exemplary embodiment, the defective sub-areas X have a volume that is too small compared to the 10 process parameters and component data stored in the target parameter set; the additive manufacturer has applied too little material. Complements are determined for the two defective sub-areas X, i.e., the missing volume is determined. From the complements, a correction code that can be printed by the additive manufacturer is determined 32, which replaces the original print code when printing is continued. Additive manufacturing is therefore continued with the correction code 170. The following layers have sub-areas C that are manufactured using the correction code 170, 180 and have a larger volume than if they were manufactured with the original print code. The 23 recorded measurement data for all additively manufactured sub-areas and layers are combined into an actual data set and saved 20.The saved 20 actual data sets and the created 10 target parameter sets contain, in addition to the actual process parameters, data on the process temperature, the dispensed material volume, the print weight and / or the print volume.

[0050] Fig. 4 and Fig. 5 show exemplary embodiments of process steps of the method 1 according to the invention. The method begins with the reading 13 of the process steps, which are generated on the basis of the previously created 130 process parameters and tool paths (see Fig. 3). Starting with the first process step, a counter is set to 1 14 and the first process step is executed 140 (Fig. 4, Fig. 5). Measurement data from this process step is recorded 23. These recorded 23 measurement data are compared 24a with the stored 10 target data. For this purpose, the difference between the corresponding recorded 20 actual data and the stored 10 target data is calculated; in this exemplary embodiment, this is the difference between the material volume applied and the material volume to be applied. In one embodiment, the comparison 24a is visually displayed 40 without a time delay (Fig. 5).A user can therefore still see during the execution of 140 of the individual process steps whether the 23 recorded measurement data match the 10 stored target data.

[0051] A query 31 then follows to determine whether all process steps have been performed. If this is not the case, a further query 24b is made to determine whether the 20 actual data items recorded in this first process step match the 10 process parameters and component data stored for the first process step in the target parameter set or are within the adjustable tolerance. If this is the case, the counter is incremented by 1 33 and the next (second) process step is executed. Method 1 then continues as described. If the 20 actual data items recorded in this first process step do not match the 10 process parameters and component data stored for the first process step in the target parameter set or if the tolerance is exceeded, the complements are formed and the correction code for the following process steps is created 32.For this purpose, deviations between the actual and target data are taken into account, and information from previously performed test prints and / or calibration prints is used. Only then is the counter incremented by 1 and the next (second) process step executed with the correction code.

[0052] Process 1 described here continues until the counter indicates that all process steps have been executed, i.e., query 31 returns a "Yes." The actual data set and the target parameter set are then saved in a data set 30. This saved data set 30 is the virtual target l / l st process and component copy of the additively manufactured component. The process is terminated 200.

[0053] A further embodiment of process steps of the method 1 according to the invention is shown in Fig. 6. In this embodiment, after reading in 13 the process steps, the target parameter set is created 10 and saved, wherein the target parameter set comprises process parameters and tool paths with the component data for the individual process steps. In addition to these target process parameters, the created target parameter set 10 contains data on the process temperature, the material volume to be dispensed, the print weight and / or the print volume. This

[0054] Target data set can be visualized 40.

[0055] After recording 23 the measurement data of each individual process step and comparing 24 it with the stored 10 target data, an actual data set for each process step is created 20 and saved. This actual data set can also optionally be visualized 40. The created 20 actual data set for each process step is combined 30 with the created 10 target parameter set and optionally saved cumulatively as a virtual target / actual process and component copy of each process step.

[0056] B EZ UG S CHARACTERS LIST

[0057] 1 procedure

[0058] 10 Create target parameter set

[0059] 11 Reading target process parameters

[0060] 12 Reading target component parameters

[0061] 13 Reading process steps

[0062] 14 Set counters

[0063] 20 Create actual data record

[0064] 21 Reading actual process parameters

[0065] 22 Reading actual component parameters

[0066] 23 Collect sensor data

[0067] 24a Compare sensor data / calculate the difference between recorded actual data and target data

[0068] 24b Query whether the difference between actual data and target data is within the tolerance

[0069] 30 Create and save target parameter set and actual data set in one data set (virtual target / actual process and component copy)

[0070] 31 Query whether process finished / all process steps executed?

[0071] 32 Adjust process step / create correction code

[0072] 33 Increase counter by 1 / next process step

[0073] 40 Visualization

[0074] 100 Creation of the building structure

[0075] 110 Preprocessing

[0076] 120 slices

[0077] 130 Generation of process parameters 140 Execution of process step

[0078] 150 actual parameters correspond to target parameters

[0079] 160 Actual parameters do not correspond to target parameters

[0080] 170 Continuation of the process steps using correction code

[0081] 180 Process end with correction code

[0082] 200 End of process

[0083] C Parts produced using correction code

[0084] X Faulty sub-areas

Claims

PATENT CLAIMS 1. Method (1) for the analysis and / or monitoring of process parameters and / or component data during an additive manufacturing process with the following process steps: • Creating (10) a target parameter set of a component to be manufactured additively, • where the target parameter set includes spatially high-resolution data on target process parameters and / or target component data of the component, • Executing (140) several additive manufacturing steps to produce a sub-area of ​​a component • Recording (23) of measurement data of process parameters of the production steps of the sub-area and / or component data of the sub-area, • Summarize the recorded measurement data into an actual data set • Analysis (24a, 24b) of the recorded measurement data, • Saving (30) the actual data set and the target parameter data set in one data set.

2. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 1, characterized in that the acquisition (23) of measurement data of process parameters and / or component data takes place continuously.

3. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 1 or 2, characterized in that the acquisition (23) of measurement data of process parameters and / or component data takes place during individual manufacturing steps and / or the entire manufacturing process.

4. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the analysis (24a, 24b) of the measurement data is carried out in-situ.

5. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the component to be manufactured is divided into layers, wherein the manufacturing takes place layer by layer, wherein the acquisition (23) and analysis (24a, 24b) of the measurement data takes place for a partial area of ​​a manufactured layer.

6. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the recording (23), analyzing (24a, 24b) and / or storing (30) of the actual and / or target process parameters and / or component data takes place with high resolution and / or three-dimensionally.

7. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the recording (23), analysis (24a, 24b) and / or storage (30) of the actual and / or target process parameters and / or component data for sub-areas of the component takes place, wherein the sub-areas are part of a layer.

8. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that a virtual target / actual process and component copy of the component is created (30) from the actual and target process parameters and / or component data.

9. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the actual and target process parameters and / or component data are stored (20) for each manufactured layer.

10. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the actual and / or target process parameters include the process temperature, the dispensed material volume, the print weight and / or the print volume.

11. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the actual and / or target component data include the geometric data of the component, the layers of the component and / or the sub-areas of the component and / or the layers.

12. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the analysis (24a, 24b) of the acquired measurement data is carried out by a comparison (24a) of the acquired measurement data with the target data set.

13. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the printing result is analyzed (24a, 24b).

14. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the result of the analysis (24a, 24b) is visualized (40) at discrete times.

15. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 14, characterized in that the visualization (40) takes place in a 3D model.

16. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 14 or 15, characterized in that deviations of the actual data from the target data are optically marked in the visualization (40).

17. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that manufacturing errors are determined (24b) from the analysis (24a, 24b) of the deviations of the actual data from the target data.

18. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 17, characterized in that complements and / or process adjustments are determined from the manufacturing errors.

19. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 18, characterized in that a printable correction code is determined (32) from the complements.

20. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 19, characterized in that When printing continues, the correction code replaces the original print code.

21. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to claim 19, characterized in that further measurement data are determined (23) from the partial areas of the component printed (170) with the correction code, which are analyzed according to the above method (1).

22. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that before the physical start of printing, ie the application and / or solidification of component layers of the component to be manufactured, one or more test prints of test geometries are carried out and based on the recording and evaluation of the associated process parameters and / or component data, an automatic optimization of the process parameters and / or component data takes place before the start of printing.

23. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that before the physical start of printing, ie the application and / or solidification of component layers of the component to be manufactured, one or more virtual component copies created in connection with previously printed components are used in order to carry out an automatic optimization of the process parameters and / or component data before the start of printing.

24. Method (1) for analyzing and / or monitoring process parameters and / or component data during an additive manufacturing process according to one or more of the preceding claims, characterized in that the manufacturing process (140) used is melt-layer-based 3D printing.

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