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The process variables were calcination temperature and reaction temperature.
When moving along the process, variables change their roles.
Two models are defined, one for the process variables and one for the model error on each of the process variables.
The process variables include ozone dosage, reaction time, and varied COD concentrations of leachate.
Modeling the flushing process helps studying the process variables and performing sensitivity analysis through simulation.
In addition, we highlight the process variables that were included in the initial model.
Lower operating costs (operating at optimal conditions of the process variables). .
To study the significance of the process variables towards gap current, ANOVA was performed (Appendix: 1).
Lower operating costs (operating at optimal conditions of the process variables).
Among these parameters, the process variables have more effect on the morphological characteristics of fibers.
In order to study the significance of the process variables towards dimensional deviation, ANOVA was performed.
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