How do manage what you cannot reliably measure?

Enter a chosen recipe into the oven, allow it to stabilize. Capture a temperature profile from a chosen assembly.
Enter a 2nd recipe into the oven, allow it to stabilize. Capture a temperature profile from the same assembly.
Now enter the differences from recipe 1 and recipe 2 into the simulator software and see what it predicted.
The perfect system would yield a result of the real profile captured in step 2 and the predicted profile from step 3. In reality this is not possible due to noise in the system and other mathematical assumptions, but we can get very close, and certainly near enough to make the exercise a massive time-saver.
Using this method of measuring two real thermal profiles and comparing the results with what the simulator software predicted allows us to gain a measure of how accurate the model works. As with all mathematical models that are using real world data, with measurement tolerances and noise present within the system, some errors will occur. The results show that with even a considerable change of temperature of 20 °C across all heated zones the simulation algorithm provides extremely accurate answers.

Enter a chosen recipe into the oven, allow it to stabilize. Capture a temperature profile from a chosen assembly.
Enter a 2nd recipe into the oven, allow it to stabilize. Capture a temperature profile from the same assembly.
Now enter the differences from recipe 1 and recipe 2 into the simulator software and see what it predicted.
The perfect system would yield a result of the real profile captured in step 2 and the predicted profile from step 3. In reality this is not possible due to noise in the system and other mathematical assumptions, but we can get very close, and certainly near enough to make the exercise a massive time-saver.
Using this method of measuring two real thermal profiles and comparing the results with what the simulator software predicted allows us to gain a measure of how accurate the model works. As with all mathematical models that are using real world data, with measurement tolerances and noise present within the system, some errors will occur. The results show that with even a considerable change of temperature of 20 °C across all heated zones the simulation algorithm provides extremely accurate answers.

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