Method for checking the suitability of forming tools

Abstract

A method for checking the suitability of a forming mold for a defined forming process comprises the following steps: a. providing an electronic data set in an electronic memory, which includes a plurality of different features of the forming mold, each feature having a value range of possible values; b. selecting at least one feature of the electronic data set as a characterizing feature with the aid of a computing unit; c. specifying an identification of the forming mold with the aid of at least one value of the value range of the at least one characterizing feature, wherein the forming mold to be checked is exactly regarded as being identical to the forming mold if the at least one value specified for the at least one characterizing feature exists; d. providing or creating an electronic mold data set for the forming mold with the aid of a computing unit; e. assigning the electronic mold data set to a forming mold having a specified identification with the aid of a computing unit; f. checking the electronic mold data set with the aid of the computing unit regarding the suitability of the forming mold having the specified identification in a defined forming process.

Description

Technical Field

[0001] The invention relates to a method for checking the suitability of a forming tool for a defined forming process, a computer-readable storage medium having instructions stored thereon, which when executed cause a computing unit to execute part or all of the method, and a forming machine. Background Art

[0002] The forming die is used in the forming machine to produce one or more molded parts in the forming process. In addition, the concept of forming machine can also include peripheral equipment.

[0003] According to the prior art, in order to compare a molding process with a simulation or physical calculation of the same molding process, the process settings of the molding machine and / or the actual value curve of the molding process are usually manually transferred to, for example, injection molding simulation software or a calculation program. Such a comparison with physically calculated parameters, the results of the molding process and / or simulated parameters or simulation results of the molding process requires considerable effort according to the prior art.

[0004] In this case, on the one hand, the process settings and the actual value profile (in short: actual) of the forming process carried out on the actual forming machine must be stored in such a way that they can be clearly assigned to the forming tool. In addition, the results of the simulation for the respective forming process and / or the simulation parameters used for the simulation (in short: simulation) and / or the physical calculations or parameters of the forming process must be stored in such a way that they can be clearly assigned to the forming tool. Subsequently, a comparison of actual and simulated data can be carried out with clear and consistent identification.

[0005] Often, the determination of parameters and / or results in reality and simulation is performed by different persons and, moreover, often also in different companies. Due to the selection / definition of different identifiers (e.g. names) for the same object (mold), a comparison or exchange of results and / or parameters can prove difficult.

[0006] It is very important for operation to avoid damage or consequential damage to the forming tool and the forming machine used for this purpose.

[0007] According to the prior art, for this purpose, the area for process settings of the molding machine is used independently of the molding tool used with the molding machine in order to avoid damage. In the best case, the respective machine operator has setting diagrams, simulation reports, etc. for the mold structure of the respective molding tool, from which the restrictions and setting criteria to be taken into account with respect to the molded part and / or the molding tool can be learned.

[0008] However, even if there are parameters and / or setting criteria and / or system setting methods, such as scientific molding, Six Sigma, etc., and / or restrictions on the operation of the molding tool on the molding machine, which are determined by simulation (e.g. injection molding simulation) or with the help of physical and / or statistical calculations or models based on the molded part and / or the molding tool and / or material data and / or data of the molding machine, these are usually not transmitted to the control unit of the molding machine or are only transmitted to the control unit of the molding machine by manual transcription.

[0009] The following reasons may be responsible for the unperformed inspection of the set areas and / or problems in the delivery of the provided areas for the forming tool in the forming machine and / or for the fault-free operation of the forming machine:

[0010] - There is no set area for the molding tool in question.

[0011] The planned transfer molding machine may not be suitable for carrying out the molding process. This may occur, for example, due to exceeding the maximum necessary closing force, the maximum necessary injection pressure, the necessary batch volume, etc.

[0012] The parameters or results to be used in the simulation deviate significantly from the actual process settings and / or actual value profiles of the forming process. This may be caused, for example, by machine influences such as pressure losses, accelerations, maximum torques, etc., which were ignored in the simulation program.

[0013] Therefore, when using simulated values ​​without further adaptation or verification, damage to the forming tool and / or the forming machine may occur.

[0014] WO 2015 / 055636 A1 discloses a method in which molding dies are classified into categories. This is achieved by calculating the quotient of the pressure increase during the compression phase and the melt volume extruded or the quotient of the melt volume extruded during the holding pressure and injection phases based on the execution of at least one molding process.

[0015] EP 368 300 A2 discloses the creation of partial data sets (process settings for the molding machine) using the results of a filling simulation and a check of the technical data of the molding machine.

[0016] DE 10 2015 107 025 A1 discloses the determination and display of process parameter values ​​in an injection molding process, wherein a molded part-specific pressure curve is used to characterize the injection molding process.

[0017] In summary, the prior art has the following problems:

[0018] - considerable effort and error-proneness in the comparison of simulation and reality (lack of clear identification, use of manual processes),

[0019] - Possible damage to the forming tool due to no inspection or no automatic inspection limits,

[0020] -Potential damage to the molding machine due to no inspection or no automatic inspection limits. Summary of the invention

[0021] The object of the present invention is to provide a method for checking the suitability of a forming mold for a defined forming process, in which method the error susceptibility of a comparison of a simulated forming process with an actual forming process is reduced, as well as to provide a computer-readable storage medium on which instructions are stored, which instructions, when executed, cause a computing unit to execute part or all of the method, and to provide a forming machine whose machine control device is configured to execute the method according to the present invention.

[0022] This object is achieved by a method according to the invention, a computer-readable storage medium according to the invention and a shaping machine according to the invention.

[0023] The invention relates to a method for checking the suitability of a forming tool for a defined forming process using a computing unit, wherein the method comprises at least the following steps:

[0024] a. providing an electronic data set in an electronic memory, the electronic data set comprising a plurality of different features of a molding die, wherein each feature of the plurality of different features has a value range of possible values;

[0025] b. selecting at least one feature of the electronic data set as a characterizing feature by means of a computing unit, which enables the computing unit to be connected to an electronic memory for data transmission;

[0026] c. specifying an identification of the forming mold by means of at least one value of the value range of the at least one characterizing feature, wherein the forming mold to be inspected is considered to be exactly identical to the forming mold if the at least one value specified for the at least one characterizing feature exists;

[0027] d. providing or creating an electronic mold data set for the forming mold by means of a computing unit, wherein the electronic mold data set includes a plurality of different features;

[0028] e. assigning the electronic mold data set to a forming mold having a specified identification by means of a computing unit;

[0029] f. Using a computing unit, the electronic mold data set is checked for suitability of a mold having a defined identification for a defined molding process.

[0030] The invention relates to a computer-readable storage medium having instructions stored thereon, which, when executed, cause a computing unit to execute a method according to the invention.

[0031] The present invention relates to a computer-readable storage medium having stored thereon instructions which, when executed, cause a computing unit to:

[0032] - accessing an electronic data set stored in an electronic memory, wherein the electronic data set includes a plurality of different features of a forming die, and each feature of the plurality of different features has a value range of possible values;

[0033] - selecting at least one feature of the electronic data set as a characterizing feature according to an algorithm or according to an input of an operator;

[0034] The identification of the molding tool is specified with the aid of the value of the value range of the at least one characterizing feature, wherein the molding tool to be checked is considered to be exactly the same as the molding tool if the at least one value specified for the at least one characterizing feature is present.

[0035] The present invention relates to a computer-readable storage medium having stored thereon instructions which, when executed, cause a computing unit to:

[0036] - creating an electronic mold data set for a forming mold, wherein the electronic mold data set comprises a plurality of different features, and

[0037] - assigning the electronic mold data record to a mold having an identification specified by means of the method according to the invention or by means of the computer-readable storage medium according to the invention,

[0038] or,

[0039] - Assigning the provided electronic mold data set to a mold having an identification which was specified using the method according to the invention or the computer-readable storage medium according to the invention.

[0040] The present invention relates to a computer-readable storage medium having instructions stored thereon which, when executed, cause a computing unit to check an electronic mold data set created or provided using a method according to the present invention or using a computer-readable storage medium according to the present invention with respect to the suitability of a molding mold with a specified identification in a defined molding process.

[0041] The invention relates to a molding machine, the machine control of which is configured to carry out the method according to the invention.

[0042] The configuration of a machine control device of a molding machine for executing the method according to the invention can be carried out, for example, in such a way that the machine control device is allowed to access one of the computer-readable storage media according to the invention, for example by installing the computer-readable storage medium in the machine control device or by establishing a data transmission connection to the computer-readable storage medium via a network.

[0043] Steps a, b and c of the method according to the invention can be performed automatically by means of a computing unit or by an operator. Steps d, e and f of the method according to the invention are performed automatically.

[0044] Examples of different features of the electronic data set provided in step a may be (alone or in any combination):

[0045] - Actual value curve and the variables calculated therefrom (detected during the forming process)

[0046] - Type of moulding (e.g. thick-walled moulding, thin-walled moulding, technical parts, etc.)

[0047] - Data relevant to the mold (weight, geometry, pouring position, limitations, instructions for assembling and / or starting the molding tool, cavity, molded part, temperature control, hot runner, compressed air connection, special equipment, quality standards for the molded part, serial number...)

[0048] - The molding machine used for the molding process (important limitations such as maximum closing force, maximum injection pressure, maximum torque, maximum acceleration, temperature, process settings, machine parameters such as regulator settings)

[0049] - Material data for the molding process (parameters such as viscosity, processing temperature limits, etc.)

[0050] - The configuration of the molding machine for the molding process (machine structure, such as injection assembly, closing unit, ejector, nozzle, core puller, etc.; drive implementation device; control implementation device) and the configuration of the production unit

[0051] - A physical relationship and / or a model and / or a simulation of a forming machine and / or a forming process and / or all the above mentioned features as well as all the features listed in Table 1.

[0052] Further detailed descriptions of possible features are given in Table 1.

[0053] The choice in step b can be made from different perspectives:

[0054] For example, at least one feature of the electronic data set can be freely selected as a characterizing feature.

[0055] For example, at least one feature of the electronic data set can be selected as a characteristic feature with respect to the intended application (e.g. the production of a molded part in the form of a closure for a bottle) so that all those forming dies that can be used in the intended application are considered identical, for example because they can be operated with the required process settings for the intended application.

[0056] As a further example, the possibility should be mentioned that all forming dies that can be operated with the same material type are considered to be identical, so that, for example, essentially the same compression modulus exists for all materials of this material type. In the case of a consistent identification, it is then known that the compression modulus of the forming die to be tested must be essentially equal to the value or value range that exists for the forming die for which the identification is defined.

[0057] With the aid of the invention, it is possible to identify the forming mold in step c by at least one value of the value range of the respective characteristic feature, i.e. to specify the identification of the forming mold, based solely on one feature or several features (one characteristic feature or several characteristic features) of the electronic data set used for characterization in step b, wherein the forming mold to be checked is considered to be exactly the same as the forming mold when the at least one value specified is present for the characteristic feature or for all characteristic features, respectively. Thus, a set of possible features is available, which can be used to specify the identification.

[0058] If the value range of the at least one characterizing feature has only one possible value, then it is naturally necessary for the identification of the mold to be checked that the at least one characterizing feature of the mold to be checked has exactly this one possible value.

[0059] If, differently, the value range of the at least one characterizing feature has multiple possible values ​​(discrete or continuous), it is possible to select a single value or multiple values ​​for specifying the identifier as the at least one specified value or to provide the at least one specified value in the form of a value range.

[0060] For the consistency of a molding die to be inspected with a molding die having a predetermined identification, it may be sufficient with respect to a characterizing feature having a value range in the form of multiple values ​​or in the form of a numerical interval that the molding die to be inspected has with respect to the characterizing feature a value that is equal to one of the multiple values ​​(for multiple values) or within the specified numerical interval (for a numerical interval).

[0061] An example of this: The mass m of the forming mold is selected as a characteristic feature. At least one specified value of the value range of the characteristic feature is selected, for example, as a mass interval of 0 kg < m < 570 kg. The forming mold to be checked has a mass of m = 400 kg. In this example, the forming mold to be checked is then considered to be identical to the forming mold whose identification has already been specified.

[0062] It should be noted that molding tools with the same identification are indistinguishable with respect to the characteristic feature based on which the identification of the molding tool is defined. However, this does not mean that the molding tools are numerically identical, ie, the same objects.

[0063] Both individual or multiple features of the electronic data set and also functions and functional generals form an identification (ID) based on the individual or multiple features.

[0064] The following examples represent possible identifications (IDs) of forming dies according to the above definition, where different numbers of different characterizing features have been used:

[0065] ID: = {ID V，Cavity :V Cavity}={1∶50}

[0066] ID: = {ID V，Cavity :V Cavity ; ID l，flowLength :l flowLength}={1∶42;2∶0.21}

[0067] ID: = {ID V，Cavity :V Cavity ; ID p，max ∶p max}={1∶61;3∶1200}

[0068] ID: = {ID V，Cavity :V Cavity ; ID F，clamp，max ∶0.9*A screw *p max}={1:61;4:4900000}

[0069] ID: = {ID V，Cavity :V Cavity ; ID MaterialClass ∶MatClass;ID pInj ∶pInjArr;ID pPack ∶pPackArr}

[0070] ={1: 61; 5: Polypropylene; 6: [0, 0; 0.2, 100; 0.3, 500; 0.5, 1000];

[0071] 7: [0.55, 1150; 0.6, 1070; 0.65, 900; 1.5, 900]}

[0072] In order to form the identification, an identification code and a value from the value range of the respective feature are assigned to each characteristic feature used, wherein the SI unit used can already be specified via the identification code. An identification code is used for each characteristic feature used for identification.

[0073] Another possibility for forming the identification can be of the following type, for example:

[0074] ID: = {ID V，Cavity ; ID l，flowLength ; ID p，max ; ID F，clamp，maxa}={61;0;0;4900000}

[0075] In this case, each characterizing feature is assigned a fixed position within the ordered N-tuple as an identification mark.

[0076] The examples described are not limiting as to the formation of the logo.

[0077] The value ranges of the various features of the provided electronic data set may be, for example, discrete (eg only take on defined values) or continuous (eg value intervals) and / or include alphanumeric characters (eg the name of a material for a molding process).

[0078] For better understanding, the identification marks used in the above examples are listed below with description:

[0079] ID V，Cavity =1 dosing volume, unit is 10 -6 m 3

[0080] ID l，flowLength =2 Maximum flow path length, in m

[0081] ID p，max =3The maximum pressure that occurs, in units of 10 5 Pa

[0082] ID F，clamp，max =4The maximum closing force required, in N

[0083] ID MaterialClass =5 material categories (such as PP, ABS, ...)

[0084] ID pInj =6 Curve change of injection pressure during the injection phase, in seconds; 10 5 Pa

[0085] ID pPack =7 Curve change of injection pressure in the holding stage, unit is s; 10 5 Pa

[0086] This is not a complete list. In the case of curve changes, these curve changes can be downsampled, ie aggregated, for example during the derivation of the actual value curve.

[0087] To determine the magnitude of the value of the characteristic feature used to create the identification, you can:

[0088] - perform the forming process, and / or

[0089] - a user input of corresponding variables in a computer-readable storage medium and / or a machine control of the molding machine and / or in an operating unit worn on the body, wherein these variables can be subjected to subsequent derivation, and / or

[0090] - data of the mold structure of the mold used, such as CAD geometry, etc., and / or

[0091] Access to data of systems that are relevant for carrying out the production process of the molded parts, such as MES, ERP, etc.

[0092] The molding process can be carried out either on the actual molding machine or in simulation.

[0093] In step d, an electronic mold data set for the mold tool is provided or created in a manner known per se by means of a computing unit, said electronic mold data set comprising a plurality of different features.

[0094] In step e, the electronic mold data set provided or created in step d is uniquely assigned to the mold tool with reference to a specified identifier by means of the computing unit and in a preferred embodiment is stored in an electronic memory (e.g. an electronic database). In order to determine the necessary variables for the characteristics of the electronic mold data set, data for determining the necessary variables for the characteristic features can be used and / or the data can be re-created.

[0095] - perform the forming process, and / or

[0096] - a user input of corresponding variables in a computer-readable storage medium and / or a control unit of the molding machine and / or in an operating unit worn on the body, wherein these variables can be subsequently derived, ie calculated, and / or

[0097] - using data of the mold structure, such as CAD geometry, etc., and / or

[0098] - Access to system data important for executing the production process of molded parts, such as MES, ERP, etc.

[0099] The forming process carried out in this connection can be carried out both on the actual forming machine and in a simulation.

[0100] It is particularly preferably provided that an electronic mold data set for the mold is provided or created using the provided electronic data set, preferably in the form of the provided electronic data set.

[0101] In step f, the data of the electronic mold data set (or at least a part thereof) which were assigned in step e to the identification specified in step c are checked (if necessary using calculation rules and / or simulations) with respect to suitability for the defined molding process. The molding process can be checked, for example, using at least one of the following data:

[0102] - Actual value curve and the variables calculated therefrom (detected during the forming process)

[0103] - Data relevant to the forming tool (weight, geometry, pouring position, limitations, instructions for assembling and / or starting the forming tool, cavity, molded part, temperature control, hot runner, compressed air connection, special equipment, quality standards for the molded part, serial number...)

[0104] - Molding machine used for the molding process (mass, length, relevant limitations such as maximum closing force, maximum injection pressure, maximum torque, maximum acceleration, temperature, process settings, machine parameters such as regulator settings)

[0105] - Material data for the forming process (parameters, e.g. viscosity, processing temperature limits, etc.)

[0106] - The configuration of the molding machine for the molding process (machine structure, such as injection assembly, closing unit, ejector, nozzle, core puller, etc.; drive implementation device; control implementation device) and the configuration of the production unit

[0107] - Physical relationships and / or models and / or simulations of the forming machine and / or the forming process and / or all the above-mentioned features and those listed in Table 1.

[0108] The check itself can be carried out manually and / or automatically by means of digital and / or logical comparison operations.

[0109] The data listed for the check can be provided, for example, by means of a data memory connected via a remote data transmission connection.

[0110] For example, the following inspections can be listed:

[0111] 0 < vInject < 120

[0112] MaterialClass == Material

[0113] "Using an electromagnetic clamping device" ∈ assembly instructions

[0114] pMaxInj < 2400

[0115] 1100000 < Fmax <1300000>

[0116] 1100000 ≤ Fmax ≤ 1100000

[0117] The latter example shows that an infinitesimal range of equivalent conditions is equal to a single value.

[0118] In a preferred embodiment, for the molding process in question, a prohibited area for the characteristics of the electronic mold data set used for inspection is pre-given on the molding machine listed in the list or also on the molding machine specifically designated by the operator, for example, a process setting is pre-given. Other applications for the prohibited area are, for example, plastic materials, environmental conditions, etc. The molding process performed and used in this step can be carried out not only on an actual molding machine but also in simulation. In such a simulation, the molding process and / or the molding machine (taking into account components such as drives, mechanical devices, etc.) can be considered.

[0119] The molding machine specifically specified by the operator can be provided based on clear identification, etc. If the operator does not provide a clear identification of the molding machine, he can virtually configure the molding machine for this purpose by means of descriptions such as injection side dimensions, closing side dimensions, drive variants,....

[0120] The (permissible in this case) area for inspection can also be pre-given for the derivation of the characteristics of the electronic mold data set, that is, by means of calculations or adjustment mechanisms of certain parameters, for example:

[0121] When (Material == PA), then

[0122] 0 < vInject < 150

[0123] Otherwise

[0124] 0 < vInject < 120

[0125] Expressed more generally, in one embodiment of the present invention, it is provided that, based on a check of the electronic mold data set regarding the suitability of a molding die with a specified identification ID in a defined molding process, an adaptation of at least one feature of the electronic mold data set is performed, thereby obtaining an adapted electronic mold data set for the molding die with the specified identification ID. It can be provided that the following step is repeated with the adapted electronic mold data set: the electronic mold data set is checked with the aid of a computing unit regarding the suitability of the molding die with the specified identification ID in a defined molding process.

[0126] The information required for the method according to the invention can be provided not only on the computer or via a mobile data carrier, but also via a data transmission link at the participating devices (such as computer, molding machine, etc.).

[0127] In a preferred embodiment of the present invention, at least one molding machine is provided, which can be used for a molding process simulated in injection molding simulation software or for an actual molding process.

[0128] A particularly preferred embodiment of the present invention (for example, a molding machine configured as a plastic injection molding machine) can be of the following type, wherein each step according to the complexity of the simulation can be optional and can also be combined with corresponding other steps:

[0129] Step 1:

[0130] The article design of the molded part and / or the tool geometry of the forming mold (eg CAD data) are provided to perform the simulation.

[0131] Step 2:

[0132] As defined in steps ac of the method according to the invention, an identification of the mold tool and / or the molded part is created with the aid of the features of the electronic mold data record known from step 1 .

[0133] Step 3:

[0134] The geometries of the molded parts and the forming tool are prepared and prepared for the simulation. These geometries can be expanded with parts such as the gating system and the cooling system.

[0135] Step 4:

[0136] The flow geometry is divided into finite geometries (FEM, FVM, . . . ) for implementation (molding, cooling) and the injection point including the opening time is set.

[0137] Step 5:

[0138] Plastic material is selected.

[0139] Step 6:

[0140] Process settings related to the molding machine, such as injection rate, holding pressure characteristics, cooling, etc., are defined or derived from at least one of the above steps 1 to 5 based on calculations. For this purpose, for example, the plastic material introduced in step 5 can be used, based on which process settings, such as temperature setpoints for heating zones of the cylinder of the molding machine, can be derived.

[0141] Step 7:

[0142] Depending on the level of detail, a computer-aided simulation can be carried out and the actual values ​​of variables such as injection rate, pressure, temperature, filling time, etc. determined, or the process settings can be used directly for further steps.

[0143] Step 8:

[0144] The variables available in steps 1-7, such as process settings, tool characteristic data, material data, etc., are unambiguously assigned to the forming mold by means of the identification created in the method according to the invention, as defined in step d. of the method according to the invention. In another preferred embodiment, the identification of the forming mold is created based on all the characteristic features available in steps 1-7, or the identification created in step 2 is adapted accordingly, and then all the variables available in steps 1-7 are also unambiguously assigned to the forming mold. In any case, an electronic mold data set is thus generated, which is provided with the identification of the forming mold.

[0145] Step 9:

[0146] The results are analyzed. If necessary, the parameters are adapted in step 6 and a new iteration of the simulation is started.

[0147] Step 10:

[0148] The knowledge about the process settings obtained in step 6 is checked and adapted in step f according to the invention for the molding machine control by the machine operator. For example, parameters of the injection and closing sides of the molding machine and drive variants are taken into account and the feasibility of the injection molding process for the simulated molded part is checked on the relevant molding machine. For example, derived limits of the maximum possible motor torque and / or speed of the drive and / or the maximum injection pressure, meaningful ranges of the metering volume, temperature ranges depending on the material used, etc. are listed for the check. The necessary parameters for the check are provided automatically and / or via a data transmission link.

[0149] The adaptation of the parameters can relate to the injection contour of the molding process obtained from step 6, for example, in the following manner: the relevant process settings are present as curve changes that are not suitable for the relevant molding machine, so that the curve changes cannot be passed by the relevant molding machine (seeFigure 2 - dotted line). Therefore, the possible areas for the nozzle for the molding machine have already been listed in advance for the injection contour (see Figure 2 - below the solid line, shaded area).

[0150] This can be done analogously for all other setpoint process settings.

[0151] This example is by no means limiting with regard to the possibilities for parameters to be tested and adapted.

[0152] When selecting a molding machine to be used for testing or adaptation, an existing molding machine, ie one that can be assigned by a unique identification (serial number), or a new molding machine suitable for the molding process can be proposed.

[0153] Step 11:

[0154] The data (electronic mold data set) which are clearly assigned to the molding mold by means of the identifier and checked are output in a data set which can be read by the molding machine and made available to the operator. In addition to the process settings from the simulation or calculation used in step 6, the parameters required for the complete data set, for example,

[0155] - simplified relationships (material, temperature, cycle time, molding machine, ...) and standardized pre-configuration of molding machines, or

[0156] - The existing electronic mold data set of the molding machine is obtained.

[0157] The provision of a complete or incomplete data record can take place, for example, via a mobile data carrier and / or via a data transmission connection.

[0158] Step 12:

[0159] For example, for a simulated technician and / or fitter and / or machine operator (corresponding to the subpoint in step 11), the following is shown:

[0160] - the entire nominal process settings required for the electronic mold data set, and / or

[0161] - Changing the target process settings for an existing electronic mold data set of the molding machine.

[0162] Step 14:

[0163] The setter and / or machine operator completely or partially takes over the desired process settings and loads them into the molding machine. Alternatively, the desired process settings can also be automatically overwritten in step 12 .

[0164] Therefore, in one manifestation of this particularly preferred embodiment, after the process settings of the injection molding simulation are derived from data, these process settings of the virtual molding machine are used to execute the actual molding process after the feasibility of the actual molding machine has been checked, and the data are, for example, geometric data of the molded part, materials, actual value curves, etc.

[0165] Another particularly preferred embodiment of the present invention may be of the following type, wherein each of the steps may be optional or combined with corresponding other steps:

[0166] I. The operator provides the simulation technician with the process settings currently being performed on the molding machine. Alternatively and / or in addition to the process settings of the molding machine, data such as the material of the molded part, geometric data, actual value curves of the molding machine and / or data entered manually can also be provided. An electronic mold data set is generated.

[0167] II. In step c, according to the above definition of the method according to the invention, an identification of the forming tool is created with the aid of the features of the electronic tool data record known from point I.

[0168] III. The electronic mold data set created in step I is uniquely assigned to the mold using the identification created in point II according to the steps of the method according to the invention.

[0169] IV. The electronic mold data set assigned to the identifier in point III is checked and adapted for transfer to the injection molding simulation software according to the above definition of step f of the method according to the invention. Here, for example, the use of the injection contour set on the molding machine is repeated: the injection contour does not correspond to the actual actual value curve of the screw of the molding machine, but is transformed into a path that can be traveled by the drive system by controlling the molding machine. This transformation can also be carried out when the data is transferred to the simulation in order to obtain a more realistic simulation.

[0170] The settings to be taken over are then displayed to the user.

[0171] V. This process allows simulation technicians to achieve executable simulations and realistic simulations more quickly.

[0172] VI. Subsequently, the simulation data and the actual value data can be compared (manually and / or partially or fully automatically) and the selected settings can be changed accordingly, so that a better agreement between simulation and experiment can be obtained. For example, deviations in the injection pressure can be detected in the packing and, due to this deviation, the packing profile can be adapted in the simulation.

[0173] VII. The improved process settings can be transferred to the molding machine or the central data storage again after the injection molding simulation for storage. Here, the adaptation performed in VI is taken into account so that the process settings are adapted to the actual molding process. That is, the offset in the injection pressure is introduced in VI, so the injection pressure is reversed here again. In addition to the selection of holding pressure, other conceivable settings are for example: temperature, cooling, material data, etc.

[0174] VIII. The provision of improved process settings or electronic mold data records in VI can be carried out, for example, via a mobile data carrier and via a remote data transmission connection.

[0175] The purpose of this preferred embodiment of the invention is, for example, to optimize the injection molding process or to perform a defect analysis with regard to the production of defective parts.

[0176] In a particularly preferred embodiment of the invention, an identification of the molding tool is created based on the injection molding simulation and the assigned permitted / prohibited areas are subsequently used on the actual molding machine, followed by a redistribution of the acquired data of the actual molding process relative to the identification. This iterative process can be performed multiple times until there is sufficient information, for example, regarding cycle time optimization, optimization of energy efficiency, consistency of simulation and measurement data, ... or no further information acquisition is required (see Figure 3 ). In addition, the first step, ie, the creation of the identification, can be performed either based on data of an injection molding simulation as exemplified here, or based on the actual molding process.

[0177] In a particularly preferred embodiment of the invention, it is possible for the mold-related data of the first molding die (features of the molding die data set) to be used for a second molding die that is not numerically identical in combination with a first molding machine and / or a second molding machine for the first molding die, as long as the identifiers are consistent or are within a specified value range or are contained in a list, i.e., for example: 49 ≤ ID V,Cativity ≤50; ID MaterialClass ∈[PP,ABS].

[0178] In order to check the consistency of the identification, functions and functional generalizations can also be defined based on the identification marks and the characterizing features. In the electronic mold data set, on the one hand, the necessary parameters for the process settings of the injection molding simulation, such as speed profiles, pressure profiles, temperatures, etc. can be directly included or can be derived from included data, such as the material of the molded part, geometric data, etc. Therefore, it is also possible that the prohibited / permitted areas that have been determined in step f for a specific first molding mold combined with a first molding machine are used for another second molding mold and / or a second molding machine, which is consistent with the above definition in terms of the identification determined in step c, see Figure 4 . Here, the application of the inspection based on the prohibited area can range from process settings of the first and / or second molding machine used in combination with the second molding die, for example, to avoid damage to all equipment, activate alarms, and recommend settings for the second molding machine, to (partially) automatic settings of the second molding machine. In addition, the application of the inspection based on the prohibited area, from process settings, for example, to avoid damage to equipment, activation of alarms, and recommended settings, to (partially) automatic settings of the second molding machine, is also performed for the first molding die. In general, it is provided in an embodiment of the present invention that the adapted electronic mold data set obtained for a specific first molding die in combination with the first molding machine is completely or partially used for the first and / or other second molding dies and / or second molding machines, which are consistent with respect to the identification determined in step c.

[0179] After positive identification, further data from the forming mold data set can also be downloaded to the control unit of the first and / or second forming machine and / or other computer units or added to the mold data set. Based on the identification method possible by the present invention, data can now be provided, which can be used, for example, in the following manner:

[0180] - displaying information specific to the molding tool and / or the molded part on a control unit of the molding machine, and / or

[0181] - Forwarding of information specific to the forming tool and / or the molded part and / or the production within the production organization, e.g. via MES, EPR…

[0182] - using the information specific to the forming tool and / or the molded part at a control unit of the forming machine in order to (guidedly) set up the forming machine and / or the production unit by the operator,

[0183] - Outputting an alarm during operation of a forming tool on a forming machine or in a production cell when operation is carried out in at least one safety-related prohibited area.

[0184] Preferably, the present invention is used in a shaping mold in the form of an injection mold, particularly preferably a plastic injection mold, and a shaping machine in the form of an injection molding machine, particularly preferably a plastic injection molding machine.

[0185] The computing unit may be formed by any form of electronic processor, regardless of where the electronic processor is physically located. BRIEF DESCRIPTION OF THE DRAWINGS

[0186] Embodiments of the present invention are discussed with reference to the accompanying drawings. Here, it is shown:

[0187] Figure 1a -c shows the process of the method according to the present invention;

[0188] Figure 2 Shows the definition of allowed and prohibited areas for process settings;

[0189] Figure 3 An iterative approach is shown;

[0190] Figure 4 A further exemplary embodiment of the method according to the invention is shown. DETAILED DESCRIPTION

[0191] Figure 1a Steps ac of the method according to the invention for checking the suitability of a forming tool for a defined forming process using a computing unit 2 are shown. In order to cause the computing unit 2 to perform steps ac, a first computer program product may be provided. The first computer program product may consist of instructions which, when executed, cause the computing unit to perform steps ac.

[0192] In step a, an electronic data set 1 is provided in an electronic memory 3, which electronic data set comprises a plurality of different features (here N features) of a forming tool, wherein each feature of the plurality of different features has a value range of possible values ​​NUM, ALPHA. For example, the electronic data set 1 in FIG. 1 has, among other features, the following features:

[0193]

[0194]

[0195] It should be noted that it is of course also possible to use features whose value range is dimensionless, ie without units (see above, for example, the feature with the number N-2).

[0196] In step b, at least one feature of electronic data set 1 (here, for example, three features with numbers 1, 3 and N-2) is selected as a characteristic feature by means of a computing unit 2 which is connected to an electronic memory 3 for data transmission.

[0197] In step c, the identification ID of the molding die is specified with the aid of the values ​​NUM, ALPHA of the value range of the at least one characterizing feature (here 1: NUM, 3: NUM, N-2: ALPHA), wherein the molding die to be inspected is considered to be exactly the same as the molding die if the at least one specified value NUM, ALPHA exists for the at least one characterizing feature.

[0198] Figure 1b Steps d and e of the method according to the invention for checking the suitability of a forming tool for a defined forming process using a computing unit 2 are shown. In order to cause the computing unit 2 to perform steps d and e, a second computer program product may be provided. The second computer program product may consist of instructions which, when executed, cause the computing unit to perform steps d and e.

[0199] In step d, an electronic mold data set 4 for the mold tool is created by means of the computing unit 2 , wherein the electronic mold data set 4 includes a plurality of different features. The electronic mold data set 4 is stored in an electronic memory 3 .

[0200] In step e, the electronic mold data set 4 is assigned to a mold tool having a specified identification ID by means of the computer unit 2 . The assignment is stored in the electronic memory 3 .

[0201] Figure 1c Step f of the method according to the invention for checking the suitability of a forming tool for a defined forming process using a computing unit 2 is shown. In order to cause the computing unit 2 to execute step f, a third computer program product may be provided. The third computer program product may consist of instructions which, when executed, cause the computing unit to execute step f.

[0202] In step f, the electronic mold data set 4 is checked with the aid of the computer unit 2 for suitability of the molding mold with the specified identification ID for the defined molding process. For this purpose, the computer unit 2 has access to an electronic memory 3 in which the electronic mold data set 4 with the identification ID and data 5 defining the molding process are stored. As a result of the check, a report 6 is issued.

[0203] Instead of the first, second and third computer program products, a single computer program product may be provided which causes the computer unit 2 to execute steps af.

[0204] The above-mentioned computer program product may be constituted by instructions, which, when executed, cause a computing unit to execute the method according to the present invention. The instructions may be stored in a computer-readable storage medium.

[0205] Figure 2 The definition of permissible and prohibited areas for a process setting (here: injection profile) is shown by way of example.

[0206] Figure 3 Schematically shows how to create the identification ID of the molding die based on the injection molding simulation and then on the actual molding machine using the assigned allowed / prohibited areas to reallocate the data obtained from the actual molding process to the identification ID. Here, in the cycle, the identification can be expanded or adapted if necessary.

[0207] Figure 4 It is shown how the prohibited / permitted area that has been determined in step f for a specific first molding tool in combination with a first molding machine can be used for a further fourth molding tool and / or a fourth molding machine that corresponds with respect to the identification determined in step c according to the above definition. A further second / third mold data set of the second / third molding tool that corresponds with respect to the ID determined in step c can be assigned to this ID and used for further calculations.

[0208] Table 1:

[0209] Forming mold: forming mold process, core pulling sequence, forming mold opening mode

[0210] Closed state / maintenance interval

[0211] Forming die installation dimensions - forming die geometry (structural height, ...)

[0212] Molding Tool - Quality Standards for Maintenance Information

[0213] Molding mold quality

[0214] The molding die contains the test plan (geometry, clearance, integrity, ... maintenance) ~ checklist -> information on the progress plan when necessary. It should be noted that the temperature adjustment and maintenance instructions

[0215] Forming dies - storage and preservation strategies, e.g. Ending tips:

[0216] Sprayed with corrosion protection

[0217] Provisions for mold care / maintenance

[0218] Minimum opening stroke

[0219] Final maintenance - according to the maintenance plan

[0220] Casting system hot channel / cold channel

[0221] Environmental conditions for the forming mold - such as ambient temperature, clean room, air conditioning,...

[0222] exhaust

[0223] Gate type, gate size and parting size,

[0224] Accessories / Mold Circumference

[0225] Centering diameter of fixed pressure plate (FAP) and movable pressure plate (BAP)

[0226] Number of injections administered

[0227] Molding die fastening system-molding machine equipment

[0228] Specific handling / "care instructions", e.g. special lubricants for high temperatures

[0229] Quick coupling system,...

[0230] Engraving depth, polishing, surface roughness;

[0231] Material of the forming die (alloy, ...)

[0232] Wear state measurement - reference state of forming dies

[0233] Definition of installation situation

[0234] Serial Number

[0235] Materials: material type, quantity, dryer, feeder, processing temperature, safety data sheet, additives (GF, ...)

[0236] Cavity: injection volume, molded part mass / injection weight

[0237] Number of cavities

[0238] Release characteristics and gate

[0239] Pressure and temperature in the cavity

[0240] Projection surface

[0241] Sensor Program

[0242] Mouldings: Inserts - how many, how big, how to position,...

[0243] Robot's take-out position

[0244] Geometry - 3D data, filled data, ...

[0245] Molded part geometry including gate location

[0246] Coding of molded parts, e.g. laser, polymer additives

[0247] Ejector: How the Ejector Works

[0248] Connection method, thread

[0249] Rod ejector - Figure

[0250] Nozzle: Nozzle diameter - in immersion nozzle

[0251] Nozzle radius

[0252] Connectors - e.g. special threads

[0253] Implementation - Closed Nozzle / Open

[0254] Nozzle hole

[0255] Special and immersion nozzles - Figure

[0256] Heating power and zone allocation if necessary

[0257] Core pulling: quantity

[0258] Implementation plan, type

[0259] Limit switch distribution, limit switch connector, - cable

[0260] Temperature control: Temperature control solution

[0261] Temperature control medium

[0262] Clamp feasible solution

[0263] Demolding temperature

[0264] Temperature control equipment-type, quantity

[0265] Type and quantity of hoses

[0266] Number and type of media connections (e.g. DM)

[0267] Hot channel: Hot channel with needle-closed nozzle-type, maximum control pressure, cascade control if necessary

[0268] Start circuit, start automatic device, boost function, at start, for example +15℃,

[0269] Quantity, power of heating zones, connector type & assignment, thermal sensors, balancing data

[0270] Dispensing, - here the nozzle, here the dispenser...

[0271] Electric Plan

[0272] Hot aisle geometry

[0273] Compressed air connections: types of air valves - sizes, pressures

[0274] Special equipment: such as rotary table, indexing plate,...

[0275] Forming die-specific peripheral equipment

[0276] Process: Limitations such as injection pressure, closing force (min. / max.), ...

[0277] flow chart)

[0278] Rated cycle time

[0279] Related injection parameters, such as external molding machine; from sampling start and stop information

[0280] Data: The latest sub-data set, i.e. including the process settings (e.g. every material that can be processed with this forming tool)

[0281] Machine data set (current controller settings, etc.)

[0282] Setting data set for peripheral devices

[0283] Auxiliary systems or their set parameters and / or results and / or models

[0284] Molding quality standards: photos of components, photos of expected defects, important dimensions,

[0285] Molded part characteristics and limitations, test frequency, e.g. online testing every 4 hours

[0286] Mechanical properties, functional and structural properties --> Physical and chemical properties of ribs related to demoulding

[0287] Surface characteristics, color specifications

[0288] Aesthetics, sensory properties

[0289] Simulation data: pressure, pressure curve, temperature, time, ...

[0290] Cavity, filling simulation, filling map

[0291] Reference numerals list

[0292] 1 Electronic Data Group

[0293] 2 Computational Unit

[0294] 3 Electronic storage

[0295] 4 Electronic mold data set

[0296] 5 Data defining the forming process

[0297] 6 Report

[0298] NUM value

[0299] ALPHA name value

Claims

1. A method for checking the suitability of a simulated forming tool to be checked for a defined and non-destructive forming process before a defined and non-destructive forming process using a computing unit (2), characterized in that The method comprises at least the following steps: a. providing an electronic data set (1) in an electronic memory (3), the electronic data set comprising a plurality of different features of a generally applicable forming mold, wherein each of the plurality of different features has a value range of possible values; b. selecting at least one feature of the electronic data set (1) as a characterizing feature by means of a computing unit (2), enabling the computing unit to be connected to an electronic memory (3) for data transmission; c. specifying an identification (ID) of the simulated forming mold to be tested by means of at least one value of the value range of the at least one characterizing feature, wherein the simulated forming mold to be tested is considered to be exactly the same as the generally applicable forming mold if the at least one value specified for the at least one characterizing feature exists; d. providing or creating an electronic mold data set (4) for a simulated mold to be inspected by means of a computing unit (2), wherein the electronic mold data set (4) includes a plurality of different features of the simulated mold to be inspected; e. assigning the electronic mold data set (4) to a simulated molding mold to be inspected having a specified identification (ID) by means of a computing unit (2); f. With the aid of a computing unit (2), the electronic mold data set (4) is checked for suitability of a simulated molding mold to be checked having a specified identification (ID) for a defined molding process, wherein prohibited areas for features of the electronic mold data set are determined and used for the check.

2. The method according to claim 1, wherein: Using the provided electronic data set (1), an electronic mold data set (4) is created for the simulated mold tool to be tested.

3. The method according to claim 1, wherein: Using the provided electronic data record (1), an electronic mold data record (4) for the mold tool to be tested for the simulation is created in the form of the provided electronic data record (1).

4. The method according to any one of claims 1 to 3, wherein: Based on a check of an electronic mold data set (4) regarding the suitability of a simulated molding mold to be checked having a specified identification (ID) in a defined molding process, at least one feature of the electronic mold data set (4) is adapted, thereby obtaining an adapted electronic mold data set (4) for the simulated molding mold to be checked having a specified identification (ID).

5. The method according to claim 4, wherein: The following steps are repeated with the adapted electronic mold data set (4): the electronic mold data set (4) is checked by means of a computer unit (2) with respect to the suitability of a simulated mold tool to be checked having a specified identification (ID) for a defined molding process.

6. The method according to any one of claims 1 to 3, wherein: The electronic mold data set (4) obtained for a specific first molding mold cooperating with the first molding machine is used for another second molding mold and / or a second molding machine that corresponds with respect to the identification determined in step c.

7. The method according to any one of claims 1 to 3, wherein: The electronic mold data set (4) obtained and adapted for a specific first molding mold cooperating with a first molding machine is used for a further second molding mold and / or a second molding machine which corresponds with respect to the identification determined in step c.

8. The method according to any one of claims 1 to 3, wherein: The value range of a plurality of different characteristics of the provided electronic data set (1) - is discrete or continuous, and / or - Include alphanumeric characters. 9 . A computer-readable storage medium having instructions stored thereon, which, when executed, cause a computing unit to execute the method according to claim 1 .

10. A computer-readable storage medium having stored thereon instructions which, when executed, cause a computing unit (2) to: - access to an electronic data set (1) stored in an electronic memory (3), wherein: The electronic data set (1) comprises a plurality of different features of a generally applicable forming die, and each of the plurality of different features has a value range of possible values; - selecting at least one feature of the electronic data set (1) as a characterizing feature according to an algorithm or according to an input of an operator; -The identification (ID) of the simulated molding die to be inspected is specified with the aid of the value of the value range of the at least one characterizing feature, wherein the simulated molding die to be inspected is considered to be exactly the same as the generally applicable molding die if at least one specified value exists for the at least one characterizing feature.

11. A computer-readable storage medium having stored thereon instructions which, when executed, cause a computing unit (2) to: - creating an electronic mold data set (4) of the mold tool to be tested for the simulation, wherein: The electronic mold data set (4) includes a plurality of different features of a simulated molding mold to be tested, and - assigning the electronic mold data set (4) to a simulated mold to be tested, the simulated mold to be tested having an identification (ID) which is specified by means of a method according to any one of claims 1 to 8 or a computer-readable storage medium according to claim 9 or 10, or, - assigning the provided electronic mold data set (4) to a simulated mold to be tested, which has an identification (ID) specified using the method according to any one of claims 1 to 8 or the computer-readable storage medium according to claim 9 or 10.

12. A computer-readable storage medium having instructions stored thereon, which, when executed, cause a computing unit (2) to test the suitability of a simulated forming mold to be tested having a specified identification (ID) in a defined forming process by using an electronic mold data set (4) created or provided using a method according to any one of claims 1 to 8 or using a computer-readable storage medium according to claim 9 or 11.

13. A molding machine, a machine control device of which is configured to perform the method according to any one of claims 1 to 8.

14. The molding machine according to claim 13, wherein: The machine control has access to a computer-readable storage medium according to any one of claims 9 to 12 .

15. The molding machine according to claim 13, wherein: The machine control device has access to the computer-readable storage medium according to any one of claims 9 to 12, in that the computer-readable storage medium according to any one of claims 9 to 12 is installed in the machine control device or a data transmission connection to the computer-readable storage medium via a network can be established.

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