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babunello [35]
3 years ago
15

One kilogram of water contained in a piston–cylinder assembly, initially saturated vapor at 460 kPa, is condensed at constant pr

essure to saturated liquid. Consider an enlarged system consisting of the water and enough of the nearby surroundings that heat transfer occurs only at the ambient temperature of 25 C. Assume the state of the nearby surroundings does not change during the process, and ignore kinetic and potential energy effects. For the enlarged system, determine the heat transfer, in kJ, and the entropy production, in kJ/K.
Engineering
1 answer:
Reptile [31]3 years ago
6 0

Answer:

Q = 2118.075\,kJ, S_{gen} = 2.0836\,\frac{kJ}{K}

Explanation:

The process is modelled after the First and Second Law of Thermodynamic:

-Q + m\cdot P\cdot (\nu_{1} - \nu_{2}) = m\cdot (u_{2}-u_{1})

-\frac{Q}{T_{surr}} + S_{gen} = m\cdot (s_{2}-s_{1})

The properties of the fluid are obtained from steam tables:

Inlet

\nu = 0.40610\,\frac{m^{3}}{kg}

u = 2557.8\,\frac{kJ}{kg}

s = 6.8490\,\frac{kJ}{kg\cdot K}

Outlet

\nu = 0.001089\,\frac{m^{3}}{kg}

u = 626.03\,\frac{kJ}{kg}

s = 1.8285\,\frac{kJ}{kg\cdot K}

The heat transfer is:

Q = m\cdot [P\cdot (\nu_{1}-\nu_{2})+(u_{1}-u_{2})]

Q = (1\,kg)\cdot \left[(460\,kPa)\cdot \left(0.40610\,\frac{m^{3}}{kg} - 0.001089\,\frac{m^{3}}{kg} \right) + \left(2557.8\,\frac{kJ}{kg} - 626.03\,\frac{kJ}{kg}  \right)\right]

Q = 2118.075\,kJ

Lastly, the entropy production is:

S_{gen} = \frac{Q}{T_{surr}} + m\cdot (s_{2}-s_{1})

S_{gen} = \frac{2118.075\,kJ}{298.15\,K} + (1\,kg)\cdot \left(1.8285\,\frac{kJ}{kg\cdot K}-6.8490\,\frac{kJ}{kg\cdot K}  \right)

S_{gen} = 2.0836\,\frac{kJ}{K}

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Answer:

The required wall thickness is 1.506 \times 10^{-3} m

Explanation:

Given:

Fluid density \rho = 1200 \frac{kg}{m^{3} }

Diameter of tank d = 8 m

Length of tank l = 4 m

F.S = 4

For A-36 steel yield stress \sigma = 250 MPa,

Allowable stress \sigma _{allow} = \frac{\sigma}{F.S}

 \sigma _{allow} = \frac{250}{4} = 62.5 MPa

Pressure force is given by,

 P = \rho gh

 P = 1200 \times 9.8 \times 4

P = 47088 Pa

Now for a vertical pipe,

\sigma _{allow} = \frac{Pd}{4t}

Where t = required thickness

 t = \frac{Pd}{4 \sigma _{allow} }

 t = \frac{47088 \times 8 }{4 \times 62.5 \times 10^{6} }

t = 1.506 \times 10^{-3} m

Therefore, the required wall thickness is 1.506 \times 10^{-3} m

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What is the connection between the air fuel ratio and an engine running rich/poor? please give clear examples and full sentances
gavmur [86]

Explanation:

Air fuel ratio:

 Air fuel ratio is the ratio of mass of air to the mass of fuel.So we can say that

Air\ fuel\ ratio=\dfrac{mass\ of\ air}{mass\ of\ fuel}

As we know that fuel burn in the presence of air that is why we have to maintain a proper amount of air fuel ratio.

When we need more power then we have supply more fuel and to burn this fuel ,require a specified amount of air.So for different loading condition of engine different air fuel ratio is required.

When air is less and fuel is more then it is called rich air fuel ratio .when air is more and fuel is less then it is called poor air fuel ratio.

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Unit for trigonometric functions is always "radian". 1. 10 points: Do NOT submit your MATLAB code for this problem (a) Given f(x
RoseWind [281]

Answer:

Below is the required code.

Explanation:

%% Newton Raphson Method

clear all;

clc;

x0=input('Initial guess:\n');

x=x0;

f=exp(-x)-sin(x)-0.2;

g=-exp(-x)-cos(x);

ep=10;

i=0;

cc=input('Condition of convergence:\n');

while ep>=cc

i=i+1;

temp=x;

x=x-(f/g);

f=exp(-x)-sin(x)-0.2;

g=-exp(-x)-cos(x);

ep=abs(x-temp);

fprintf('x = %6f and error = %6f at iteration = %2f \n',x,ep,i);

end

fprintf('The solution x = %6f \n',x);

%% End of MATLAB Program

Command Window:

(a) First Root:

Initial guess:

1.5

Condition of convergence:

0.01

x = -1.815662 and error = 3.315662 at iteration = 1.000000

x = -0.644115 and error = 1.171547 at iteration = 2.000000

x = 0.208270 and error = 0.852385 at iteration = 3.000000

x = 0.434602 and error = 0.226332 at iteration = 4.000000

x = 0.451631 and error = 0.017029 at iteration = 5.000000

x = 0.451732 and error = 0.000101 at iteration = 6.000000

The solution x = 0.451732

>>

Second Root:

Initial guess:

3.5

Condition of convergence:

0.01

x = 3.300299 and error = 0.199701 at iteration = 1.000000

x = 3.305650 and error = 0.005351 at iteration = 2.000000

The solution x = 3.305650

>>

(b) Guess x=0.5:

Initial guess:

0.5

Condition of convergence:

0.01

x = 0.450883 and error = 0.049117 at iteration = 1.000000

x = 0.451732 and error = 0.000849 at iteration = 2.000000

The solution x = 0.451732

>>

Guess x=1.75:

Initial guess:

1.75

Condition of convergence:

0.01

x = 227.641471 and error = 225.891471 at iteration = 1.000000

x = 218.000998 and error = 9.640473 at iteration = 2.000000

x = 215.771507 and error = 2.229491 at iteration = 3.000000

x = 217.692636 and error = 1.921130 at iteration = 4.000000

x = 216.703197 and error = 0.989439 at iteration = 5.000000

x = 216.970438 and error = 0.267241 at iteration = 6.000000

x = 216.971251 and error = 0.000813 at iteration = 7.000000

The solution x = 216.971251

>>

Guess x=3.0:

Initial guess:

3

Condition of convergence:

0.01

x = 3.309861 and error = 0.309861 at iteration = 1.000000

x = 3.305651 and error = 0.004210 at iteration = 2.000000

The solution x = 3.305651

>>

Guess x=4.7:

Initial guess:

4.7

Condition of convergence:

0.01

x = -1.916100 and error = 1.051861 at iteration = 240.000000

x = -0.748896 and error = 1.167204 at iteration = 241.000000

x = 0.162730 and error = 0.911626 at iteration = 242.000000

x = 0.428332 and error = 0.265602 at iteration = 243.000000

x = 0.451545 and error = 0.023212 at iteration = 244.000000

x = 0.451732 and error = 0.000187 at iteration = 245.000000

The solution x = 0.451732

>>

Explanation:

The two solutions are x =0.451732 and 3.305651 within the range 0 < x< 5.

The initial guess x = 1.75 fails to determine the solution as it's not in the range. So the solution turns to unstable with initial guess x = 1.75.

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3 years ago
Create a separate function file fieldtovar.m that receives a single structure as an input and assigns each of the field values t
Soloha48 [4]

Answer:

Explanation gives the answer

Explanation:

% Using MATLAB,

% Matlab file : fieldtovar.m

function varargout = fieldtovar(S)

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error('The number of output variables does not equal the number of fields');

end

end

%This brings an end to the program

4 0
3 years ago
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