Real time material and velocity control in a molding system
US-11034070-B2 · Jun 15, 2021 · US
US2020290257A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020290257-A1 |
| Application number | US-201816767604-A |
| Country | US |
| Kind code | A1 |
| Filing date | Nov 22, 2018 |
| Priority date | Nov 29, 2017 |
| Publication date | Sep 17, 2020 |
| Grant date | — |
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The CAE simulation generates simulation results (Ai), first machine parameters (Pi) are generated by electronically processing the simulation results (Ai), second machine parameters (Pi+1) are obtained, different from the first ones, from the execution of another moulding process for the same object; and in an electronic database (M) accessible by a user the first and second machine parameters are saved associating them in a common collection.
Opening claim text (preview).
1 . Method for processing moulding parameters (P i+1 ) for an injection moulding machine ( 10 ) obtained by CAE comprising the steps of (i) simulating through CAE a moulding process needed to mould an object, wherein the CAE simulation generates simulation results (A i ), (ii) generating first machine parameters (P i ) by electronically processing the simulation results (A i ) to make them compatible with the data protocol of a control unit ( 20 ) of the machine, so that the machine can perform an actual moulding process according to the first machine parameters; (iii) obtaining second machine parameters (P i+1 ), different from the first ones, from the execution of another moulding process for the same object; (iv) saving in an electronic database (M) accessible by a user the first and second machine parameters associating them in a common collection. 2 . Method according to claim 1 , wherein in said common collection generic machine parameters and/or process simulated data are saved too. 3 . Method according to claim 1 , wherein in said collection real process data are saved, that is values of physical quantities relative to the moulding process detected by sensors on board the machine during an actual injection moulding process. 4 . Method according to claim 1 , wherein the real process data obtained during the moulding with the first and/or second machine parameters are saved in said common collection. 5 . Method according to claim 1 , wherein step (ii) is performed by a software. 6 . Method according to claim 1 , wherein step (ii) takes place with the further step of generating from the simulation results obtained by the simulation software CAE a file readable by a software installed in the control unit, wherein said file undergoes a data conversion process to adapt the data protocol of the CAE simulation software to the data protocol of the software installed in the control unit, the conversion process being performed by a software. 7 . Method according to claim 1 , wherein said other moulding process is performed N times with machine parameters different from the first machine parameters, where N>=2, in each N-th iteration the used second machine parameters being machine parameters generated by the following steps: processing with a software the machine parameters of the (N-1)-th iteration and the machine parameters of the (N-2)-th iteration to generate new machine parameters, and using said new machine parameters as machine parameters in the N-th iteration of step (iii). 8 . Method according to claim 1 , with the further steps of (v) processing the data contained in the common collection with a software, (vi) modifying the machine parameters calculated with a subsequent CAE simulation as a function of the processing produced by said software in step (v), to obtain optimized machine parameters. 9 . Method according to claim 8 , wherein optimized machine parameters are obtained by internally modifying the CAE software. 10 . Method according to claim 8 , wherein optimized parameters are obtained by modifying the data that the CAE software generates. 11 . Method according to claim 8 , wherein a conversion software, which performs said conversion between the simulation results and the machine parameters to be loaded in the control unit, is modified to optimize the machine parameters. 12 . Method according to claim 8 , wherein step (v) is carried out through a software. 13 . (canceled)
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