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Work a problem similar to P 3 . 7 . 6 in the textbook. Differences: a . Find the degrees of freedom. b . What

Work a problem similar to P3.7.6 in the textbook. Differences:
a. Find the degrees of freedom.
b. What assumptions are inherent in the modeling?
c. Calculate the final steady-state heights before you do any modeling. You can use these to check your Python code.
d. Use Python instead of Matlab to solve the problem. Submit your graph for the heights as a function of time.
e. Repeat part d with a 10% decrease in F1spec. Submit your graph for the heights as a function of time.
f. Submit your Python file.
113
MdTdt=F1T1+F2T2-(F1+F2)T
To determine the initial product temperature, this equation is set equal to zero (i.e., steady-state conditions) and the initial process conditions are applied, i.e.,
MdTdt=0=(5kgs)(25C)+(5kgs)(75C)-(10kgs)T
Therefore, the initial product temperature is 50C.
The actuator is modeled using Equation 3.7.1 and the sensor is modeled using Equation 3.7.4. Therefore, the model equations used to represent the CST thermal mixer are
Actuator
dF1dt=1v(F1,spec-F1)
Process
MdTdt=F1T1+F2T2-(F1+F2)T
Sensor
dTsdt=1Ts(T-Ts)
Figure 3.7.5 shows the resulting dynamic behavior of the measured temperature of the mixed liquid for this process. The process model is affected by changing F1,spec, which changes F1, resulting in a change in T, which is measured by the sensor as Ts. After a change in the input, the process reaches a new steady-state condition; therefore, this process is referred to as a self-regulating
Figure 3.7.5 Dynamic response of the CST thermal mixer to a step change in (F1)spec.
Figure 3.7.6 Comparison between the dynamic response of the model of the process by itself and a model of the actuator/process/sensor system.
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