High reliable process monitoring with ComoNeo enables quality predictions

ComoNeo is a process monitoring system of a new generation which allows the user to come up with quality predictions and therefore bring the industrial production to another level. It uses the profile to monitor and evaluate the quality of an injection-molded part. For this purpose, the system checks whether a specified value in the profile is reached or exceeded, either with the help of defined evaluation objects (EOs) that are set manually or automatically, or on the basis of a design of experiments (DoE).

The ComoNeo process monitoring system analyzes quality-relevant sections of the measurement curves captured via the measurement functions, with the help of defined Evaluation Objects – known as EOs. To do this, ComoNeo verifies whether the curves pass through the evaluation objects as predefined. The system can sort out the bad parts automatically if needed. Additional practical tools are also at the user's disposal: online quality prediction based on statistical test planning, and the EO Assistant. Therefore the user is in full control of the process monitoring.

Advantages of Process Monitoring

  • The integrated process dashboard provides a quick overiew of the status and progression of production 
  • Separation of good and bad parts 
  • Manual process monitoring of cavity pressure by setting Evaluation Objects (EOs) 
  • Automatic monitoring of cavity pressure with the EO Assistant 
  • Online-quality prediction as an additional method for separating out scrap
Kistler Japan Co., Ltd.
Sales Representative

ComoNeo has the so called EO Assistant integrated. It automatically selects and positions the monitoring boxes for evaluation of good and bad parts. The results from the EO Assistant define the evaluation types and the relevant limits. Thanks to the EO Assistant users can handle the monitoring process with ease, even if they have no previous knowledge about cavity pressure technology.

A simple use

The EO Assistant selectively changes the machine parameters to simulate a new cavity pressure profile, with the result that the part's characteristics change. Once this is done, the user can take measurements or perform an optical assessment to evaluate the produced parts, and then decide whether the relevant cavity pressure profile is good or bad. The work can be done in short time and the user can define, how many test cycles he wants to run. The more cycles completed the more accurately the EOs can be placed.


Users are guided through the individual steps

Know-how is integrated within the system, so users do not need to be specialists

More accurate evaluation limits (as wide as possible, as narrow as necessary)

Scrap is separated out more accurately

Pseudoscrap is reduced 

Systematic procedure, not dependent on individual staff members 

Random sampling with EO adjustment is possible for even greater precision 

Standardized, documented procedure 

Option of choosing the monitoring strategy (e.g. one EO across multiple cavities)

ComoNeo allows the exact monitoring of the cavity pressure and can determine whether if the filling does exceed a certain value or not. The additional entry box ensures that values are within a pre-defined level. 

Kistler recommends this box for almost all applications because it allows checking of the pressure level as well as the time component. It can ensure conformance to a specified holding pressure profile as well. With the Integral function, sink marks can be monitored.

ComoNeo Evaluation Objects (EOs)

ComoNeo enables online quality predictions. With these data, reliable statements about every manufactured part can be made. The quality control of Kistler is based on models, which make it possible to calculate characteristics for parts. The DoE and prediction model can be generated by using the ComoNeo monitoring system and the Stasa QC software in combination.

Only a Few Easy Steps 

Kistler makes it possible to generate all the needed information by following several easy steps. The system guides the user through the process and makes sure that nothing is missed at the end. This standardized and documented procedure means that tests and model calculations can be performed regardless of which individuals are available. The transparency of the method gives users a far better understanding of the process. 


An exact method for separating scrap, thanks to complete quality records 

Direct monitoring of predicted quality features makes it much easier for users to understand 

Pseudoscrap is minimized 

Simple handling of tolerances as sorting criteria (transferred from the part drawing) 

Systematic determination of part quality 

Automatic selection of relevant curve points for calculation 

Can be used even without in-depth mathematical or statistical knowledge 

Models can easily be retrained to achieve further improvement

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