Complete the following in MatLAB: A thermocouple held in room-temperature air is suddenly immersed into a beaker of cold water. Its temperature asa function of time is recorded. Determine the thermocouple's time constant by plotting the data listed in Table attached, assuming that the thermocouple behaves as a first-order system. A more accurate method of determining the time constant is by performing a least-squares linear regression analysis after transforming the temperatures into their appropriate non-dimensional variables. Time(ms) Temperature (°C) 0 24.8 40 22.4 120 19.1 200 15.5 240 13.1 400 9.76 520 8.15 800 6.95 970 6.55 1100 6.15 1400 5.75 1800 5.30 2000 5.20 2200 5.00 3000 4.95 4000 4.95 5000 4.95 6000 4.95 7000 4.95

Complete the following in MatLAB: A thermocouple held in room-temperature air is suddenly immersed into a beaker of cold water. Its temperature asa function of time is recorded. Determine the thermocouple's time constant by plotting the data listed in Table attached, assuming that the thermocouple behaves as a first-order system. A more accurate method of determining the time constant is by performing a least-squares linear regression analysis after transforming the temperatures into their appropriate non-dimensional variables. Time(ms) Temperature (°C) 0 24.8 40 22.4 120 19.1 200 15.5 240 13.1 400 9.76 520 8.15 800 6.95 970 6.55 1100 6.15 1400 5.75 1800 5.30 2000 5.20 2200 5.00 3000 4.95 4000 4.95 5000 4.95 6000 4.95 7000 4.95

Principles of Heat Transfer (Activate Learning with these NEW titles from Engineering!)

8th Edition

ISBN:9781305387102

Author:Kreith, Frank; Manglik, Raj M.

Publisher:Kreith, Frank; Manglik, Raj M.

Chapter5: Analysis Of Convection Heat Transfer

Section: Chapter Questions

Problem 5.19P: 5.19 Suppose that the graph below shows measured values of for air in forced convection over a...

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WLEY 6-44. The data that follow are DC output from a windmill (y) and wind velocity (x). (a) Draw a scatter diagram of these data. What type of rela- tionship seems appropriate in relating y to x? (b) Fit a simple linear regression model to these data. (c) Test for significance of regression using a = 0.05. What conclusions can you draw? (d) Plot the residuals from the simple linear regression model versus y, and versus wind velocity x. What do you con- clude about model adequacy? (e) Based on the analysis, propose another model relating y to.x. Justify why this model seems reasonable. (f) Fit the regression model you have proposed in part (e). Test for significance of regression (use a = 0.05), and graphically analyze the residuals from this model. What can you conclude about model adequacy? Observation Number 1 NM & in eor 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Wind Velocity (MPH), x 5.00 6.00 3.40 2.70 10.00 9.70 9.55 3.05 8.15 6.20 2.90 6.35 4.60 5.80 7.40…
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For the Thermistor given below using piecewise approximation method combined with line regression to find the best equation and value for Temperature if the system has counts =800 20 40 60 80 |ADC counts 928 785 654 420 152 T=129.7902-0.14586*Counts, T= 13.1022 T=129.7902-0.13986*Counts, T=17.9021 T=129.7902-0.12358*Counts, T= 30.9262 T=135.4745-0.14599*Counts, T= 18.68613
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Time(ms)	Temperature (°C)
0	24.8
40	22.4
120	19.1
200	15.5
240	13.1
400	9.76
520	8.15
800	6.95
970	6.55
1100	6.15
1400	5.75
1800	5.30
2000	5.20
2200	5.00
3000	4.95
4000	4.95
5000	4.95
6000	4.95
7000	4.95