The present disclosure relates to a method for controlling an injection molding machine comprising a reciprocating plasticizing screw and a controller system adapted for measuring a first production parameter or calculating the first production parameter based upon an input signal from a sensor arranged on the injection molding machine and for controlling/setting a second production parameter on the injection molding machine.
In conventional injection molding tools it is very common to control different parameters of the injection molding process in order to obtain a stable molding process so the functionality of the produced parts, such as weight, function and tolerances are within a certain range.
Nevertheless many factors influences the production environment over time for the injection molding machine, and therefore it is desired to control that various production parameters does not drift over time due to these influences.
In this relation variations of e.g. the dosage time that the injection molding machine uses to produce a specific amount of molten plastic ready for injection may vary especially during open loop processing due to e.g. varying percentages of regrind plastic material used during the production cycles. These variations of the dosage may give rise to reduced quality of the products produced or even to different errors in the molding process.
Based on this, it is the object of the present disclosure to provide a simple and reliable method for controlling that various production parameters does not drift over time.
This is obtained by a method according to claim 1 specifying:
In a preferred embodiment the setting by the controller system of the new value for the second production parameter for the subsequent production cycle is performed so that that the difference between the first production parameter for the subsequent production cycle and the preselected target value for the first production parameter is reduced.
The setting by the controller system of said new value for the second production parameter for a subsequent production may be made to affect any subsequent production cycle, but in a preferred embodiment it is performed for the production cycle immediately following the first production cycle.
The mathematical function may be updated during production e.g. using machine learning, but it may advantageously be predefined and in an especially simple embodiment of the disclosure the mathematical function is linear. It is, however, apparent to the skilled person that also other mathematical functions may be used.
The calculating of a new value for said second production parameter may advantageously comprise restricting that the difference between the previous value for said second production parameter and new value for said second production parameter does not exceed a predefined value.
In one aspect of the disclosure the first production parameter is the injection time, and the second production parameter is the injection flow rate.
In another aspect of the disclosure the first production parameter is the so-called cushion defined e.g. by the position of the reciprocating plasticizing screw after injection, and the second production parameter is the plasticization volume.
In yet another aspect of the disclosure the first production parameter is the pressure integral, or part integral of the injection pressure profile and the second production parameter is the target injection pressure or holding pressure.
In yet another aspect of the disclosure the first production parameter is the actual dosage time for the reciprocating plasticizing screw to plasticize a preselected volume of plastic material, and the second production parameter is the speed of rotation of the reciprocating plasticizing screw.
The present disclosure also relates to an injection molding machine comprising a reciprocating plasticizing screw and a controller system adapted for measuring or calculating a selected actual production parameter on the injection molding machine and for controlling another production parameter on the injection molding machine and where the controller system is adapted for performing the method according to one or more of the preceding claims.
Various aspects of the present disclosure are discussed herein with reference to the accompanying Figures. It will be appreciated that for simplicity and clarity of illustration, elements shown in the drawings have not necessarily been drawn accurately or to scale. For example, the dimensions of some of the elements can be exaggerated relative to other elements for clarity or several physical components can be included in one functional block or element. Further, where considered appropriate, reference numerals can be repeated among the drawings to indicate corresponding or analogous elements. For purposes of clarity, however, not every component can be labeled in every drawing. The Figures are provided for the purposes of illustration and explanation and are not intended as a definition of the limits of the disclosure.
The subject technology overcomes many of the prior art problems associated with controlling injection molding machine. The advantages, and other features of the technology disclosed herein, will become more readily apparent to those having ordinary skill in the art from the following detailed description of certain exemplary embodiments taken in combination with the drawings and wherein like reference numerals identify similar structural elements. It should be noted that directional indications such as vertical, horizontal, upward, downward, right, left and the like, are used with respect to the figures and not meant in a limiting manner.
It will be apparent to the skilled person, and especially in view of the embodiment described below as an example, that many different production parameters may be controlled using basic principle if it is possible to establish a mathematical relation between the first and the second production parameter.
One example is where the first production parameter is the injection time, and the second production parameter is the injection flow rate.
Another example is where the first production parameter is the position of the reciprocating plasticizing screw after injection (cushion), and the second production parameter is the plasticization volume.
Yet another example is where the first production parameter is the pressure integral, or part integral of the injection pressure profile and the second production parameter is the target injection pressure or holding pressure.
In order to monitor the dosage time a position sensor 16 is arranged on the RAM 13.
The controller 10 is adapted to, based upon the first production parameter being the actual dosage time for the reciprocating plasticizing screw to plasticize a preselected volume of plastic material, to control the second production parameter being the speed of rotation of the reciprocating plasticizing screw during the plasticizing process.
In relation to this embodiment of the disclosure multiple tests have showcased an assumable linear relation between the screw rotation and the dosage time. The relation is described as a linear equation. It could also be described as a nonlinear equation and linearized afterwards:
Where α and β are constants and e is the error.
Utilizing the {circumflex over ( )}(hat) notation it is possible to estimate the true behavior by:
Where {circumflex over (t)}dos is the predicted dosage time, and a and b are predicted parameters of α and β.
There are multiple ways to implement the control action, by keeping a and b constant or updating them both or individually. If the intersect term a is selected and only one set of data is present a will be estimated as:
If the gain term b is selected it will be estimated as:
In the following, and as shown in
As can be seen in
The control loop will then be created minimizing the error between a target value and the actual value:
The input is updated according to:
The routine updating a is defined as:
In recursive form it can be described as:
In the special case where the input parameter is updated for each cycle and utilizing the νscrew,n estimation equation it is possible to rewrite to:
It can be reduced to:
It is clear that the modelled value for a becomes stationary as the error between actual and target value goes to zero meaning the model is similar or identical to the real system and the output tdos is controllable. As this is a simple kind of controller it will be apparent to the skilled person that only three parameters have to be estimated and tuned. b being constant, a updating according to the algorithm and w needs to be tuned.
It will be appreciated by those of ordinary skill in the pertinent art that the functions of several elements can, in alternative embodiments, be carried out by fewer elements, or a single element. Similarly, in some embodiments, any functional element can perform fewer, or different, operations than those described with respect to the illustrated embodiment. Also, functional elements shown as distinct for purposes of illustration can be incorporated within other functional elements in a particular embodiment.
While the subject technology has been described with respect to various embodiments, those skilled in the art will readily appreciate that various changes and/or modifications can be made to the subject technology without departing from the scope of the present disclosure.
Number | Date | Country | Kind |
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PA202170339 | Jun 2021 | DK | national |
The present application is a U.S. National Stage Application of International Application No. PCT/EP2022/067845, filed on Jun. 29, 2022 and published on Jan. 5, 2023 as WO 2023/275120 A1, which claims the benefit and priority of Danish Patent Application No. 202170339, filed on Jun. 30, 2021, each of which is incorporated herein by reference in its entirety for any purpose whatsoever.
Filing Document | Filing Date | Country | Kind |
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PCT/EP2022/067845 | 6/29/2022 | WO |