Computer-supported manufacturing method, and manufacturing system

Abstract

The invention relates to a computer-supported manufacturing method (10) for determining at least one manufacturing parameter (12) for manufacturing a workpiece (14, 16, 18) using a processing machine (20), having the steps of: providing (22) a workpiece geometry (24) of the workpiece (14, 16, 18) to be manufactured; generating (32) a workpiece identification (34), wherein the workpiece identification (34) has a manufacturing characteristic (36) of at least one manufacturing feature (38) which characterizes the workpiece geometry (24); and determining (60) the manufacturing parameter (12) for manufacturing the workpiece (14, 16, 18) to be manufactured by comparing the workpiece identification (34) with stored reference identifications (62), in particular a plurality of stored reference identifications, of workpieces which have already been manufactured. The invention additionally relates to a manufacturing system (64) comprising a system controller (68) for carrying out the manufacturing method (10).

Description

[0001] Computer-aided manufacturing process and manufacturing system

[0002] Background of the invention

[0003] The invention relates to a computer-aided manufacturing method for determining at least one manufacturing parameter for manufacturing a workpiece by a processing machine. The invention also relates to a manufacturing system.

[0004] When manufacturing workpieces using processing machines, the manufacturing parameters must be adapted to the workpiece geometry of the workpiece to be manufactured in order to ensure good manufacturing quality and more robust production processes.

[0005] However, conventional methods require setting production parameters for a production table with different workpiece geometries, as individually setting the production parameters for each workpiece is associated with considerable time and expense. Depending on the material to be processed and the complexity of the workpiece geometry, setting production parameters across all workpieces can lead to unstable production processes and thus a reduction in the productivity of the processing machine. In particularly adverse cases, this can lead to production downtimes, which entail considerable costs and labor.

[0006] Alternative methods involve an image-based comparison of a workpiece to be manufactured with reference images of previously manufactured workpieces. However, an image-based comparison of geometries is prone to errors. For example, even the smallest changes in the geometry and / or data loss due to discretization of the geometry can lead to significant differences, which complicate or even prevent an effective comparison of the geometries and thus the setting of optimal manufacturing parameters.

[0007] US 6,625,607 Bl describes a method for comparing CAD parts by comparing metadata representing the topologies of the parts in order to enable quick retrieval and further processing of previously created CAD parts.

[0008] Object of the invention

[0009] The invention is based on the object of specifying a method and a device with which a simple adjustment of the production parameters is possible taking into account the respective workpiece geometry in order to increase the robustness of the production process and the productivity.

[0010] Description of the invention

[0011] This object is achieved according to the invention by a computer-aided manufacturing method according to claim 1. Furthermore, the underlying object is achieved by a manufacturing system according to claim 14. The subclaims relate to preferred embodiments of the invention.

[0012] According to the invention, a computer-aided manufacturing method is provided. In other words, the manufacturing method is carried out using at least one computer system.

[0013] The manufacturing method is designed to determine at least one manufacturing parameter. The manufacturing parameter is suitable or necessary for manufacturing a workpiece by a processing machine.

[0014] Preferably, the manufacturing process is configured to be carried out automatically. In other words, no operator is required to carry out the manufacturing process. This allows the manufacturing parameters to be determined particularly quickly. Furthermore, the degree of automation of a processing machine can be increased when carrying out the manufacturing process.

[0015] The manufacturing method is preferably designed to determine a manufacturing parameter for manufacturing a workpiece using a flatbed machine tool, in particular a laser processing machine. The inventors have recognized that the method described above and below is particularly well suited for this purpose.

[0016] The manufacturing process includes at least the following process steps:

[0017] One step of the computer-aided manufacturing process involves providing the workpiece geometry for the workpiece to be manufactured by the processing machine. Typically, the workpiece geometry is provided prior to machining by the processing machine.

[0018] The workpiece geometry is typically provided by the processing machine, or a control system of the processing machine, a system control system of a manufacturing system and / or by a management program of a manufacturing system.

[0019] The workpiece geometry can be provided, for example, in the form of coordinates, curve segments, and line segments. This eliminates the need for graphical representations.

[0020] A further step in the manufacturing process involves creating a workpiece identifier. The workpiece identifier has a manufacturing parameter of at least one manufacturing feature characteristic of the workpiece geometry. In other words, the workpiece identifier has at least one geometry-specific manufacturing parameter. In a special embodiment, the workpiece identifier has exclusively geometry-specific manufacturing features. Typically, the workpiece identifier is to be understood as an abstracted definition of the workpiece geometry and does not allow any conclusions to be drawn about the exact or detailed workpiece geometry underlying the workpiece identifier. This allows the process to be carried out with particularly high data security.

[0021] A further method step provides for the determination of at least one production parameter for the production of the workpiece to be manufactured by comparing the workpiece identifier with, in particular, a plurality of stored reference identifiers of already manufactured workpieces.

[0022] A comparison enables the identification of reference identifiers that are similar and identical to the workpiece identifier, or similar and identical workpiece geometries. The reference identifiers preferably refer to at least one, in particular a plurality of, manufacturing parameters that were used to manufacture the workpiece underlying the reference identifier. Thus, a manufacturing parameter can be determined for manufacturing the workpiece that has already been used successfully for a similar or identical workpiece geometry, or that has resulted in a good manufacturing result.

[0023] In summary, the manufacturing method according to the invention enables the quick and easy determination of manufacturing parameters for individual workpiece geometries. The workpiece geometry is abstracted by creating a workpiece identifier, which enables rapid comparison and prevents conclusions about the exact workpiece geometry. This allows for comprehensive reference identifiers for a large number of different workpieces to be maintained, significantly improving efficiency. Comparing the workpiece identifier enables the determination of similar and identical workpiece geometries and the determination of manufacturing parameters used in the production of a workpiece based on the reference identifier.In a preferred embodiment of the computer-aided manufacturing process, the characteristic manufacturing feature is an outer contour, an inner contour, and / or a geometric surface. The aforementioned manufacturing features have proven particularly suitable for determining a representative workpiece identifier. A manufacturing characteristic is preferably an area of ​​the geometric surface, an outer contour length of the outer contour, an inner contour length of the inner contour, an inner contour number of the inner contour, a geometric complexity, and / or a minimum center of gravity distance from a workpiece edge.

[0024] The geometric complexity of the geometric surface can be determined, in particular, by the number of inner contours, the number of corners of the inner contours, and / or the number of corners of the outer contour. In other words, the geometric complexity can be determined by determining indentations, bulges, and / or discontinuities of the outer or inner contours.

[0025] Further preferred is an embodiment of the computer-aided manufacturing method in which the at least one specific manufacturing parameter is a machine parameter of the processing machine. Preferably, the specific manufacturing parameter is a manufacturing speed or a feed rate of the processing machine, a processing power, in particular a laser power of the laser processing machine, and / or a distance to a production table of the processing machine or a workpiece blank to be machined. The aforementioned manufacturing parameters have proven particularly effective in generating the workpiece identification with regard to the workpiece geometry.

[0026] Also preferred is an embodiment of the computer-aided manufacturing method in which the at least one specific manufacturing parameter is a consumption parameter of the processing machine and / or a post-processing machine. Preferably, the consumption parameter is a cutting time, energy consumption, or gas consumption. The aforementioned manufacturing parameters have proven effective with respect to a consumption value to be observed for the processing machine.

[0027] In a preferred embodiment of the computer-aided manufacturing process, the at least one specific manufacturing parameter is a machine parameter of a post-processing machine. Preferably, the manufacturing parameter is a removal speed of a removal device. By determining a manufacturing parameter for a post-processing machine, the manufacturing process can be particularly effectively extended to processes subsequent to production, thereby further increasing efficiency.

[0028] Further preferred is an embodiment of the computer-aided manufacturing method in which the workpiece identifier comprises manufacturing parameters of two or more, in particular three or more, manufacturing features characteristic of the workpiece geometry. In other words, multiple manufacturing features can be taken into account when determining the manufacturing parameters. By increasing the number of manufacturing features taken into account, a manufacturing parameter can be determined more reliably.

[0029] Furthermore, an embodiment of the computer-aided method is preferred in which the created workpiece identifier has at least one material characteristic of the workpiece to be manufactured. The material characteristic is preferably a material type, e.g., a metal, a material thickness, and / or a material coating. By taking a material characteristic into account, the manufacturing parameter can be determined even more precisely for the workpiece to be manufactured. A preferred development of the computer-aided manufacturing method provides for the manufacturing characteristics to be arranged in a predetermined sequence in the workpiece identifier. By using a predetermined sequence of the manufacturing characteristics, a comparison between the workpiece identifier and the reference identifier can be determined even faster, and a similarity can be determined even more reliably.

[0030] Also preferred is an embodiment of the computer-aided manufacturing method in which the manufacturing parameters are calculated and rounded when creating the workpiece identifier. In other words, the manufacturing parameters are divided into domains. By rounding the manufacturing parameters, a similarity between manufacturing parameters can be determined more easily.

[0031] In a preferred embodiment of the computer-aided method, the manufacturing parameter of the at least one characteristic manufacturing feature is calculated from the control commands of a numerical tool control system for manufacturing the workpiece. The control commands of the numerical tool control system exhibit a particularly high degree of accuracy in mapping the workpiece geometry. Furthermore, numerical control commands enable particularly fast and precise further processing of the data.

[0032] Furthermore, an embodiment of the computer-aided manufacturing method is preferred in which the manufacturing parameter is determined based on an aligned workpiece geometry. In other words, a rotation of the workpiece geometry is compensated, whereby identical, but rotated, workpiece geometries can receive an identical workpiece identifier. This further simplifies a comparison of the workpiece identifier with the reference identifiers and facilitates the determination of similarity.

[0033] Furthermore, an embodiment of the computer-aided manufacturing process is preferred in which the workpiece identifier comprises, in particular exclusively, relevant manufacturing parameters. In other words, the workpiece identifier comprises manufacturing parameters of relevant characteristic manufacturing features that have a significant influence on a manufacturing parameter to be determined. The relevant manufacturing feature or manufacturing parameters can be predetermined by an operator. This allows a comparison of the workpiece identifier with the reference identifiers to be carried out more quickly.

[0034] In a preferred development of the computer-aided manufacturing process, the relevant manufacturing parameters or relevant manufacturing characteristics are determined by a self-learning algorithm, in particular a neural network. This allows the inclusion of a multitude of influencing factors or process data on the relevant manufacturing parameters to be determined in advance, thereby allowing the relevant manufacturing parameters to be determined even more reliably. Preferably, the self-learning algorithm determines the relevant manufacturing parameters automatically. This can increase the effectiveness in determining the relevant manufacturing parameters and also the accuracy in determining the manufacturing parameters.

[0035] The self-learning algorithm is preferably trained using a variety of manufacturing parameters, workpiece geometries, and material characteristics whose effect on a relevant manufacturing characteristic is known. To determine the effect of the manufacturing parameters, workpiece geometries, and material characteristics on the manufacturing characteristic, an operator can, for example, assess the result of manufacturing a workpiece under predetermined manufacturing parameters with regard to the relevant manufacturing characteristics. The process data is preferably collected over a variety of process cycles to improve the accuracy of the prediction. The process data can be provided manually by an operator or automatically by the machine.The process data are preferably transmitted from a plurality of processing machines and / or operators by means of known data transmission to a central data storage device, which serves as the basis of the self-learning algorithm.

[0036] The problem underlying the invention is also solved by a manufacturing system.

[0037] The manufacturing system comprises at least one processing machine. The processing machine is preferably a flatbed machine tool. Particularly preferably, the processing machine is a laser processing machine.

[0038] The manufacturing system also includes a database. The database is designed to store reference identifiers of previously manufactured workpieces and their manufacturing parameters. In other words, successfully manufactured workpieces are stored in the database using their reference identifier. For each reference identifier, at least one, preferably several, manufacturing parameters with which the respective workpiece was manufactured are stored. The database is preferably designed to store a plurality of reference identifiers of previously manufactured workpieces.

[0039] The manufacturing system further comprises a system controller. The system controller is configured to execute the computer-aided manufacturing process described above and below.

[0040] In a preferred embodiment, the manufacturing system comprises at least two, in particular a plurality of, processing machines. Typically, the processing machines are configured to exchange data with the manufacturing system's database. This can further increase the efficiency of the manufacturing process.

[0041] Further features and advantages of the invention will become apparent from the description, the claims, and the drawings. According to the invention, the above-mentioned and further-described features can be used individually or in combination in any convenient way. The embodiments shown and described are not intended to be exhaustive, but rather are exemplary in nature for describing the invention.

[0042] Detailed description of the invention and drawing

[0043] Fig. 1 shows a computer-aided manufacturing process according to the invention in a schematic representation.

[0044] Fig. 2 shows a workpiece geometry of a workpiece to be manufactured in a schematic representation.

[0045] Fig. 3 shows a manufacturing system in a schematic representation.

[0046] Fig. 4 shows an example of creating a workpiece identifier in a schematic representation.

[0047] Fig. 1 shows a computer-aided manufacturing method 10 according to the invention in a schematic representation.

[0048] The manufacturing method 10 is designed to determine at least one manufacturing parameter 12 (see Fig. 3) for manufacturing a workpiece 14, 16, 18 (see Figs. 2, 3) by a processing machine 20 (see Fig. 3).

[0049] The manufacturing method 10 comprises at least the following method steps, which are explained with reference to the other figures of the drawing.

[0050] A method step 22 of the computer-aided manufacturing method 10 provides for the provision of a workpiece geometry 24 (see Fig. 2) of the workpiece 14, 16, 18 to be manufactured.

[0051] The provided workpiece geometry 24 is typically the workpiece geometry 24 of a workpiece 14, 16, 18 to be manufactured directly by the processing machine 20. Furthermore, it can be provided that the workpiece geometry 24 of further workpieces 14, 16, 18 to be manufactured are provided to a production table 26 in advance of processing by the processing machine 20. In this way, optimal production parameters 12 can be determined for each workpiece 14, 16 to be manufactured in the production table 26.

[0052] The workpiece geometry 24 can be provided by the processing machine 20 or a controller 28 of the processing machine 20. The workpiece geometry 24 is preferably provided in the form of control commands 30 (see Fig. 3) of a numerical tool control system. The controller 28 can be designed as a numerical tool control system. This eliminates the need to transmit a graphical representation of the workpiece geometry 24. The control commands 30 of the numerical tool control system have a particularly high representation accuracy of the workpiece geometry 24 and enable particularly fast and precise further processing of the workpiece geometry 24.

[0053] A further method step 32 of the computer-aided manufacturing process 10 provides for the creation of a workpiece identifier 34 (see Figs. 3, 4) for the provided workpiece geometry 24. The workpiece identifier 34 has a manufacturing parameter 36 (see Fig. 4) of at least one manufacturing feature 38 (see Fig. 2) characteristic of the workpiece geometry 24.

[0054] A characteristic manufacturing feature 38 can, for example, be, as shown in Fig. 2, an outer contour 40, an inner contour 42, 44, and / or a geometric surface 46. For reasons of clarity, only an inner contour 44 is provided with a reference symbol.

[0055] A manufacturing parameter 36 can be an outer contour length of the outer contour 40, an inner contour length of the inner contour 42, a number of inner contours of the inner contours 42, 44, an area of ​​the geometric surface 46, and / or a geometric complexity of the geometric surface 46. A geometric complexity of the geometric surface 46 can be determined, for example, by a number of inner contours of the inner contours 42, 44, by a number of corners of the corners 48 of the inner contours 44, and / or a number of corners of the corners 50 of the outer contour 42. For reasons of clarity, only one corner 50 of the outer contour 42 and one corner 48 of the inner contour 44 are provided with a reference symbol.

[0056] Preferably, the workpiece geometry 24 is aligned, as shown in Fig. 2, before determining the manufacturing parameters 36. Alignment can be achieved, for example, by aligning an enveloping rectangle (not shown in detail). Particularly preferably, after determining a reference point 52, here the center of gravity, the workpiece geometry 24 is rotated in a predetermined coordinate system 54 with respect to minimum moments of inertia of the workpiece geometry 24. This enables a uniform alignment of the workpiece geometry 24 and facilitates the comparability of similar workpiece geometries 24.

[0057] In addition, the workpiece identifier 34 can be a production parameter 56 of at least one machine parameter of the processing machine 20, a machine parameter of a post-processing machine 58 and / or a consumption parameter of the processing machine 20 and / or the

[0058] Post-processing machine 58.

[0059] In other words, the workpiece identifier 34 has at least one geometry-specific manufacturing parameter 36, but can include further manufacturing parameters 56 relating to further manufacturing-specific influences.

[0060] To create the workpiece identifier 34, the manufacturing parameters 36, 56 are preferably arranged one after the other. Typically, the manufacturing parameters 36, 56 are arranged one after the other according to a predetermined pattern or a predetermined sequence. This can simplify the comparability of the workpiece identifier 34. In particular, geometry-specific manufacturing parameters 36 can be arranged separately from other manufacturing parameters 56.

[0061] In a particular embodiment, the workpiece identifier 34 includes only relevant manufacturing parameters 36, 56. Relevant manufacturing parameters 36, 56 are to be understood as those parameters of the workpiece geometry 24 that have a significant or primary influence on the manufacturing parameters 12. For example, it can be provided that the length of the outer contour 40 is considered more important than a low complexity of the geometric surface 46.

[0062] In other words, the workpiece identifier 34 can be created by analyzing and selecting manufacturing parameters 36 of the characteristic manufacturing features 38. A similar procedure can be followed for manufacturing parameters 56. This allows the workpiece identifier 34 to be kept compact and further simplifies the comparison of the workpiece identifier 34. The selection of the relevant manufacturing parameters 36, 56 is preferably carried out by a self-learning algorithm, in particular a neural network.

[0063] A further method step 60 of the manufacturing method 10 provides for the determination of at least one manufacturing parameter 12 for the production of the workpiece 14, 16, 18 to be manufactured by comparing the workpiece identifier 34 with stored reference identifiers 62 of already manufactured workpieces.

[0064] Preferably, the workpiece identifier 34 is compared with a plurality of stored reference identifiers. This allows the production parameter 12 to be determined particularly precisely.

[0065] The comparison involves comparing the production parameters 36, 58 of the workpiece identification 34 with the production parameters 36, 58 of the

[0066] Reference identifier 62 is provided. In other words, a similarity between the workpiece geometry 24 and geometries of previously manufactured workpieces is established by comparing the corresponding manufacturing parameters 36, 58. If a sufficient similarity between the workpiece identifier 34 and one or more reference identifiers 62 is identified based on the aforementioned comparisons, the manufacturing parameters 12 stored for the reference identifier(s) 62 can be determined or used for manufacturing the corresponding workpiece 14, 16, 18.

[0067] The reference identifiers 62 typically refer to several, in particular a large number, of manufacturing parameters 12. Typically, after comparing the workpiece identifier 34 with the reference identifiers 62, parameter sets for setting several manufacturing parameters 12 are determined. This allows a large number of settings to be made on the processing machine 20, in particular automatically.

[0068] The manufacturing parameters 12 can relate to the processing machine 20 and / or the post-processing machine 58. For example, it can be provided that a manufacturing parameter 12 in the form of a machine parameter, for example, a feed rate or a processing power, is set by the workpiece geometry 24. Furthermore, it can be provided, for example, that a removal parameter for the post-processing machine 58 in the form of a removal device is set by the manufacturing parameter 12. The manufacturing method 10 can thus be extended to processes subsequent to production, thereby further increasing efficiency.

[0069] Fig. 3 shows a manufacturing system 64 in a schematic representation.

[0070] The manufacturing system 64 includes the processing machine 20 with the controller 28. The controller 28 is configured to execute control commands directed toward the production of workpieces 14, 16, 18. Typically, a machining tool (not shown in detail) is moved in a production area 66 of the processing machine 20 above a production table 26.

[0071] The processing tool can, for example, be a processing optics of a laser processing machine.

[0072] The manufacturing system 64 further includes a system controller 68. The system controller 68 is configured to execute the computer-aided manufacturing process 10. The system controller 68 can be integrated into the controller 28 of the processing machine 20.

[0073] The system controller 68 is configured to communicate with the processing machine 20, in particular the controller 28, as well as to communicate with a database 70 of the manufacturing system 64. Typically, the system controller 68 is configured to receive the workpiece geometry 24 and the manufacturing parameter 12, as well as to transmit the workpiece identifier 34 and the at least one manufacturing parameter 12 and / or an adapted manufacturing parameter 72. Furthermore, the system controller 68 is configured to compare the workpiece identifier 34 with the reference identifiers 62.

[0074] The system controller 68 can be configured to adapt the manufacturing parameter(s) 12 received from the database 70. In particular, it can be provided that the system controller 68 calculates an average adapted manufacturing parameter 72 from the provided manufacturing parameters 12.

[0075] The manufacturing system 64, as shown, includes a post-processing machine 58. Furthermore, the manufacturing system 64 may include additional processing machines 74. Typically, the manufacturing system 64 consists of a plurality of processing machines 20 and additional processing machines 74 that communicate with the database 70 via a system controller 68.

[0076] 10 computer-aided manufacturing process;

[0077] 12 manufacturing parameters;

[0078] 14, 16, 18 workpiece;

[0079] 20 processing machines;

[0080] 22 process step;

[0081] 24 Workpiece geometry;

[0082] 26 Production board;

[0083] 28 Control;

[0084] 30 control commands;

[0085] 32 process steps;

[0086] 34 Workpiece identification;

[0087] 36 manufacturing parameters;

[0088] 38 manufacturing feature;

[0089] 40 outer contour;

[0090] 42, 44 inner contour;

[0091] 46 geometry surface;

[0092] 48 Corner of the inner contour;

[0093] 50 corner of the outer contour;

[0094] 52 reference point,

[0095] 54 Koo rd in ate n sy ste m ;

[0096] 56 manufacturing parameters;

[0097] 58 post-processing machine;

[0098] 60 process steps;

[0099] 62 Reference identifier;

[0100] 64 manufacturing system;

[0101] 66 manufacturing area;

[0102] 68 Control Panel;

[0103] 70 database;

[0104] 72 adjusted manufacturing parameters;

[0105] 74 additional processing machines.

Claims

Patent claims 1. Computer-aided manufacturing method (10) for, in particular automatically, determining at least one manufacturing parameter (12) for manufacturing a workpiece (14, 16, 18) by a processing machine (20), comprising the method steps: Providing (22) a workpiece geometry (24) of the workpiece (14, 16, 18) to be manufactured; Creating (32) a workpiece identifier (34), wherein the workpiece identifier (34) has a manufacturing parameter (36) of at least one manufacturing feature (38) characteristic of the workpiece geometry (24); Determining (60) the production parameter (12) for the production of the workpiece (14, 16, 18) to be manufactured by comparing the Workpiece identification (34) with, in particular, a plurality of stored reference identifiers (62) of already manufactured workpieces.

2. The computer-aided manufacturing method (10) according to claim 1, wherein the characteristic manufacturing feature (38) is an outer contour (40), an inner contour (42), and / or a geometric surface (46); preferably, the manufacturing characteristic (36) is an outer contour length, an inner contour length, an inner contour number, a surface area, a geometric complexity, and / or a minimum center of gravity distance from a workpiece edge.

3. Computer-aided manufacturing method (10) according to claim 1 or 2, wherein the at least one manufacturing parameter (12) is a machine parameter of the processing machine (20), in particular a manufacturing speed, a processing power and / or a distance to a manufacturing table (26).

4. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the at least one Production parameter (12) is a consumption parameter, in particular a cutting time, an energy consumption or a gas consumption.

5. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the at least one manufacturing parameter (12) is a machine parameter of a post-processing machine, in particular a removal speed of a removal device.

6. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the workpiece identifier (34) Manufacturing parameters (36) of two or more for the Workpiece geometry (24) has characteristic manufacturing features (38).

7. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the created workpiece identifier (34) has at least one material characteristic of the workpiece (14, 16, 18) to be manufactured.

8. Computer-aided manufacturing method (10) according to claim 6 or 7, wherein the manufacturing parameters (36) in the workpiece identifier (34) are arranged in a predetermined sequence.

9. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the manufacturing parameters (36) are calculated and rounded when creating the workpiece identifier (34).

10. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the manufacturing parameter (36) of the at least one characteristic manufacturing feature (38) is calculated from the control commands (30) of a numerical tool control for manufacturing the workpiece (14, 16, 18).

11. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the manufacturing parameter (36) is determined on an aligned workpiece geometry (24).

12. Computer-aided manufacturing method (10) according to one of the preceding claims, wherein the workpiece identifier (34) comprises, in particular exclusively, relevant manufacturing parameters (36).

13. Computer-aided manufacturing method (10) according to claim 12, wherein the relevant manufacturing parameters (36) are determined by a self-learning algorithm, in particular a neural network.

14. Manufacturing system (64) with at least one processing machine (20), a database (70) for maintaining, in particular a plurality of, reference identifiers (62) of already manufactured workpieces, and a system controller (68) which is configured to carry out the computer-aided manufacturing method (10) according to one of the preceding claims.

15. Manufacturing system (64) according to claim 14, comprising at least two, in particular a plurality of, processing machines (20, 74); wherein the processing machines (20, 74) are designed for data exchange with the database (70) of the manufacturing system (64).

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