The present application claims priority of DE 10 2021 123 917.6, filed Sep. 15, 2021, the priority of this application is hereby claimed, and this application is incorporated herein by reference.
The invention relates to a method for adjusting the closing force of a mold of a plastics processing machine, in particular an injection molding machine, wherein the mold has a spring constant, so that a mold deformation results when the mold is subjected to the closing force.
When operating a plastics processing machine, before plastic material is injected into the mold, the mold is pressurized by the clamping force and thus held closed. The plastic material is injected under high pressure. The closing force must be selected so that the mold always remains closed until the plastic material has solidified.
During injection molding, the plasticizing unit exerts an opening force on the mold during injection and the holding pressure phase. The clamping unit counteracts this opening force with the clamping force. If the opening force is greater than the clamping force, the mold opens in an uncontrolled manner and the process becomes unstable. The clamping force must therefore be selected to be greater than the opening force.
It is relatively time-consuming to set the optimum closing force of the mold. Therefore, the maximum clamping force of the machine is usually used to keep the mold reliably closed. However, this is not very favorable in terms of mold and machine wear.
The optimum would be to bring the closing force—taking into account a certain safety buffer—as close as possible to the opening force in order to keep the process as robust as possible.
Solutions have become known, one of which is described, for example, in DE 10 2014 014 232 B4. In this case, a reference cycle is run in a dry run, which provides information about the force or travel curve of the tool, taking into account the spring constant, i.e. the spring stiffness, of the tool. This makes it possible to calculate back to the force or displacement curve during operation of the machine, which can then be used to determine the optimum clamping force.
A disadvantage of this method is that a corresponding dry run is required before the actual production process in order to record the necessary data.
US 2006/0197248 A1 discloses a method for monitoring the mold clamping force in an injection molding machine, whereby readjustment of the clamping force takes place if deviations from a target force are detected in the course of production of a large number of molded parts.
The invention is based on the object of further developing a process of the type described above in such a way that, without further preparatory measures in the production process itself, an optimum closing force can be found with which the mold remains reliably closed, but which does not place an excessive load on the machine.
The solution of this problem by the invention is characterized in that the method comprises the following steps:
Preferably, not only two determinations of the deformation work are made, as explained, but three of them. In this case, after step b) above and before step c) above, the step is performed:
Finally, a fourth value of the deformation work can optionally be included in the calculation, in which case the step is performed after step b1) above and before step c):
In particular, the linear extrapolation is performed by a straight line obtained by linear regression of the values of the deformation work over the closing force.
Said force difference is preferably between 25 kN and 75 kN, particularly preferably between 40 kN and 60 kN.
The process is carried out in particular in an injection molding machine.
Thus, the proposed solution relies on the consideration of the deformation work of the mold to determine the optimum closing force.
The deformation work ΔW of the mold, which is applied when the closing force is applied to the closed mold, is given by:
Here is
SC1 the position of the clamping unit before the plastic material is injected into the mold, but after the clamping force has been built up,
The spring constant kM of the tool can be calculated using the equation
FC1 is the clamping force set by the machine operator at the same time that sC1 is present, i.e. before injection but after the clamping force is build-up.
FF0 is the clamping force at the same time when sF0 is given, i.e. when the clamping unit is closed without force.
The present invention assumes that the optimum closing force is found when the working difference is positive, but close to zero.
Thus, the proposed method aims at finding the optimum closing force on the mentioned basis, i.e. by linear extrapolation a positive value close to zero is sought for the working difference.
The plastics processing machine, in particular the injection molding machine, is equipped with the necessary measuring elements to be able to determine forces and displacements.
Accordingly, the given closing force FC1 can be measured by means of force sensors.
Furthermore, displacement measuring elements are used to record the position of the clamping unit (for example, in scanning steps of the software, which takes place every 2 ms).
Thus, the (average) position of the force-free closed clamping unit sF0 can be detected, as well as the (average) force FF0 when the clamping unit is closed force-free.
The (average) position sc1 of the clamping unit can also be detected before injection but after the clamping force has been built up.
Thus, the difference ΔsC1 between the measured position of the clamping unit sc1 shortly before injection but after the clamping force build-up of the force-free closed clamping unit sF0 can be determined.
The spring constant kM of the mold can also be determined from the above relationship.
Furthermore, the difference ΔsC between the minimum position of the clamping unit from injection start sc and the position of the force-free closed clamping unit sF0 can be determined.
The difference of the deformation work ΔW can then be determined from these mentioned parameters.
The position of the clamping unit can be measured via a displacement sensor installed as standard. In order to obtain robust and valid values for the position of the clamping unit, it is advantageous to amplify the signal via an operational amplifier.
Accordingly, the proposed method finds the optimum clamping force during the normal production process. Thus, no dry run is necessary.
In addition to the method described above for finding the optimum closing force, a method for controlling the opening travel can also be used or added:
In this case, the operator defines a value for Δsc, the software converts to a target difference of the deformation work. The target closing force is derived from the target difference of the deformation work by linear approximation.
If there are too few data points for a linear regression, two measurements are carried out on the basis of the current closing force (e.g.), each with a closing force increasing by a specified difference value (e.g. 50 kN). In the process, (e.g.) three difference works are recorded, namely at
Then an iterative adjustment of the clamping force with automatic step size adjustment is performed until Δsc has been reached.
If the procedure described above for finding the optimum closing force has already been completed, the procedure for controlling the opening travel is simplified considerably. Here, sufficient data points are already available to form a linear regression model.
The various features of novelty which characterize the invention are pointed out with particularity in the claims annexed to and forming a part of the disclosure. For a better understanding of the invention, its operating advantages, specific objects attained by its use, reference should be had to the drawings and descriptive matter in which there are illustrated and described preferred embodiments of the invention.
In the drawing:
According to this, a nominal initial state with a nominal clamping force F1 first results in a value of ΔW1 for the energy difference. In the embodiment, a clamping force of 1,800 kN was selected as the initial state; this value can correspond in particular to the maximum clamping force of the mold. A first production cycle was carried out with this clamping force, i.e. the production of an injection molded part.
It should be mentioned here that the described process can of course also be used after a number of molded parts have already been produced. In this respect, the term first production cycle should be understood to mean that it is the first cycle with which the proposed process starts.
In a subsequent working cycle, in particular in the immediately following working cycle, a reduced closing force F2 is then used. The closing force is therefore reduced by an amount ΔF, which in the embodiment is 50 kN. Now, in the same way, a value ΔW2 is obtained for the deformation work introduced into the mold (differential work).
In a further subsequent working cycle, which follows on in particular from the second working cycle described, the closing force F3 is reduced again. Again, this is reduced by an amount ΔF, which in this case is also 50 kN. This results in an analogous value ΔW3 for the deformation work introduced into the mold.
After recording the three values determined in the present embodiment, an evaluation is carried out, which is illustrated in
The determined deformation works ΔW1, ΔW2 and ΔW3 are plotted in the said and displayed closing force—energy difference diagram and a linear extrapolation of the course of the deformation work over the closing force is carried out. For this purpose, a linear regression is preferably carried out, i.e. a “compensation line” is determined through the three recorded values of ΔW. This procedure is sufficiently well known as such, so that it need not be explained further here.
According to the linear regression, the energy difference ΔW is proportional to the closing force F, i.e.
ΔW˜FC
respectively
ΔW=α·FC+β
wherein the coefficients α and β are determined by the linear regression. After determining the mentioned coefficients, the closing force in the embodiment is reduced to a value of 20% of the last determined value for the energy difference ΔW3, i.e. the compensation line through the points ΔW1, ΔW2 and ΔW3 is intersected with a line parallel to the abscissa, which is at the level of 20% of the value of ΔW3. The reduced closing force found here is denoted by FC in
A new injection molding cycle is then started with the reduced clamping force FC found in this way. In this cycle, too, the mold deformation caused can be recorded and the deformation work ΔW4 introduced by the mold deformation can be calculated. This is illustrated in
As can be seen from
An improved value for the reduced closing force results from this because the first linear extrapolation was still too inaccurate due to the large prediction span (based on the values ΔW1, ΔW2 and ΔW3); the result can therefore be improved if the linear regression is repeated including the value ΔW4.
In the embodiment example, the reduced closing force was determined on the basis of a value of 20% of the value of the energy difference ΔW3. In general, an even lower value than 20% should be aimed for, ideally 5% of the energy difference of ΔW3.
However, in the range between 20% and 5% of the energy difference ΔW3, it can easily happen that the energy difference becomes negative, resulting in a detrimental uncontrolled opening of the mold during the injection molding process.
Therefore, preferably in this area, the step size for further reduction of the closing force is adjusted iteratively on the basis of the procedure described below. In this way, rapid changes are detected and taken into account.
The entire algorithm provided for this purpose is shown in
For the iterative reduction of the closing force,
The first model determines a regression line through the last three data point pairs of ΔW and FC. The result is the coefficients αS1 (slope) and βS1 (intercept) for the regression line as explained above.
The second model calculates the regression line through the last and penultimate pair of data points of ΔW and FC. The result is the coefficients αS2 (slope) and βS2 (intercept) for the regression line.
The third model puts a regression line through the second to last and third to last pair of data points of ΔW and FC. The result is the coefficients αS2 (slope) and βS2 (intercept) for the regression line.
For the further calculation some limit values and constants are necessary. These values can be set on the machine. The values given in the sequence diagram (see
Once all three models are created, a weighted slope αSw is calculated. This is the sum of 70% of the slope from model 2 and 30% of the slope from model 3 (see step “SM23” in
If the relative deviation μ is greater than the threshold value Φ, it is assumed that a rapid change occurs. The sequence “C” (according to
The new closing force is adjusted by the step size. The sequence is called up as often as necessary until the 5% mark of the differential work of ΔW3 has been reached.
The iterative reduction is repeated a maximum of ten times. After finding the optimum closing force, a certain value (ΔWREF) is obtained. This value serves as a reference for the subsequent process cycles. If an impermissible deviation of the differential work is detected in one of the subsequent cycles, the closing force is adjusted with a cycle delay via the linear approximation in order to return to the level of ΔWREF.
Number | Date | Country | Kind |
---|---|---|---|
10 2021 123 917.6 | Sep 2021 | DE | national |