Parametric injection molding system and method

1. A method of controlling the quality of a product produced by an injection molding process comprising:

generating an injection molding process model from injection molding process data, the injection molding process model having a control limit, wherein the generating of the injection molding process model comprises performing a multivariate analysis on the injection molding process data using a multivariable analysis selected from the group consisting of performing a principal component analysis, calculating a Hotelling T 2 value, calculating a DModX value, performing a projection to latent structures analysis, and combinations thereof;

collecting real-time injection molding process data;

determining whether the real-time injection molding process data is within the control limit; and

removing the product from the injection molding process when the real-time data process data exceeds the control limit.

2. The method of claim 1 wherein the determining and the removing occur substantially simultaneously.

3. The method of claim 1 wherein the injection molding process data and the real-time injection molding process data are selected from the group consisting of cycle time, melt temperature, fill time, melt pressure, cool time, pack time, mold temperature stationary, mold temperature moveable, injection time, hold time, shot velocity, shot cushion, fill pressure, pack pressure, hold pressure, back pressure, machine decomposition, hydraulic transfer pressure, position transfer, barrel temperatures, nozzle temperature and combinations thereof.

4. The method of claim 1 further comprising storing the injection molding process data in a database.

5. The method of claim 1 comprising the step of transforming the injection molding process data into at least one surrogate variable and calculating a Hotelling T 2 value and a DModX value for the at least one surrogate variable.

6. The method of claim 5 wherein the control limit is defined by the Hotelling T 2 value and the DModX value for the at least one surrogate variable.

7. The method of claim 6 comprising the step of calculating a Hotelling T 2 value and a DModX value for the real-time injection molding process data and comparing these values to the control limit.

8. The method of claim 7 wherein the control limit is exceeded if either the Hotelling T 2 value the DModX value for the real-time injection molding process data exceeds the Hotelling T 2 value or DModX value for the at least one surrogate variable.

9. The method of claim 1 further comprising the step of adjusting the control limit by combining the real-time injection molding process data to the stored injection molding process data and performing a multivariate analysis on the combined injection molding process data.

10. The method of claim 9 wherein the collecting the real-time injection molding process and adjusting the control limit occur substantially simultaneously.

11. A method for parametrically releasing a product produced by an injection molding production process comprising:

collecting real-time production data from the injection molding production process;

comparing the real-time production data to a predetermined production control limit generated by a multivariable analysis selected from the group consisting of performing a principal component analysis, calculating a Hotelling T 2 value, calculating a DModX value, performing a projection to latent structures analysis, and combinations thereof

determining whether the real-time production data is within the predetermined production control limit; and

removing from the injection molding production process any product produced when the real-time production data exceeds the control limit.

12. The method of claim 11 wherein the determining and removing occur substantially simultaneously.

13. The method of claim 11 wherein the injection molding production process proceeds during the removing.

14. An automated system for controlling the quality of a product produced by an injection molding production process comprising:

a data analysis module for generating a predetermined injection molding production control limit by a multivariable analysis selected from the group consisting of performing a principal component analysis, calculating a Hotelling T 2 value, calculating a DModX value, performing a projection to latent structures analysis, and combinations thereof;

a data collection device for collecting real-time injection molding production process data;

a prediction module for determining whether the real-time injection molding process data is within the control limit; and

a diversion device in operative communication with the prediction module, the diversion device removing from the injection molding production process any product produced when the real-time injection molding production process data exceeds the control limit.

15. The system of claim 14 further comprising a controller in operative communication with the prediction module, the controller sending a signal to the diversion device when the real-time injection molding process data exceeds the control limit.

16. The system of claim 14 further comprising a transporter for removing the product from the injection molding machine.

17. The system of claim 16 wherein the diversion device further comprises a gate that removes product from the transporter.