What are the advantage and disadvantage of using the advanced technology in the field of engineering.  

An ideal Otto cycle has a compression ratio of 7. At the beginning of the compression process, air is at 98 kPa, 30oC and 766 kJ/kg of heat is transferred to air during the constant-volume heat addition process. Determine (a) the pressure (p3) and temperature (T3) at the end of the heat addition process, (b) the net work output, (c) the thermal efficiency and (d) the mean effective pressure for the cycle. Use the IG model

List the four common parameters that affect the optimisation of a pumping system. PLEASE PRINT THE SOLUTION IN NEAT SCRIPT

1) four mechanical solutions principals engage/dimenton of standard disk clutch

2) what is the most essential parameters for designing a flywheel in relation to use their main purpose.

Collect and identify customer needs for international students in any university.

This question is related to product development, so please answer according to that aspect.

Describe in your own words, the term “Dutch Roll”. Discuss how the Dutch roll mode characteristics depend on the static directional stability and lateral stability.

My car is Jeep Cherokee 2016 latitude with two-wheel rear drive, and please give me a complete plan to test my Jeep's suspension system. For the rest information, I can use the values get from Google. Is it underdamped, overdamped, or else? Is it time to replace them yet? Why? If you can provide graph in excel, it would be great, Thanks.

The US consumer fleet (cars, SUV’s, vans, cross-overs and light trucks) has an average drag coefficient of 0.4, an average miles driven per year of 12,500 at 50 MPH and an average frontal area of 5.5 m2. Being that there are 265 million of these ‘average’ vehicles on the road driven by consumers, calculate:

a. Gasoline consumed per vehicle annually assuming 25% overall efficiency

b. Gasoline consumed per vehicle annually assuming if the speed limit on federal highways was cut down from 70 to 55 MPH resulting in a decrease in the average speed to 43 MPH.

c. How many barrels of oil would be saved annually by lowering the speed limit?

d. If instead of 55 MPH there were an absolute federal speed limit on all roads of 45 MPH, lowering the average speed to 35 MPH, repeat b) and c) above.

e. If instead of lowering the speed limit the aerodynamics of all vehicles were improved such that the average vehicle now has a drag coefficient of 0.35, how many barrels of oil would that save annually?

f. If the size of engines were cut down on every vehicle in the fleet equivalent to the efficiency of the average vehicle above increasing to 40%, how many barrels of oil would that save annually?

g. What if by force of tax we were all limited in driving a certain number of miles and this resulted in the original average vehicle driving 10,000 miles per year, how many barrels of oil would that save annually? How many gallons of gas is that per capita and how much would each person save dollar-wise per year?

A cylindrical container with d_o = 0.5 m and L = 7.5 m is used for chemical processing with insulated ends. The inside of the cylinder is kept at 400^o C with 5 kW of power coming from a heater. The outer surface temperature is known to be 78 ^oC and ambient air in the factory is 20C.

a.) Estimate the heat transfer coefficient between the surface of the cylinder and the ambient air and find the thermal resistance between the surface of the cylinder and the chemicals.

A large fan is used to cool the surface of the cylinder with a velocity of 25 m/s. As a result, the heater had to compensate for the cooling in order to maintain the chemicals inside the cylinder at 400C. Assume the air properties are: ? = 0.96 kg/m3, k = 0.032 W/m-K, ? = 215x10-7 Pa-s, and Pr = 0.70.

b.) Estimate the heat transfer coefficient between the air and the cylinder surface.

c.) Estimate the surface temperature of the cylinder after the fan is turned on and determine the increase in the heater power (W).

Write a function to solve the two-dimensional in Matlab, unsteady heat conduction equation with no internal heat generation on a square domain. The length of each side of the square is 1 m. The function will have the following 4 inputs:

npts                     number of grid points in each coordinate direction

nt                         number of time steps to take

dt                         size of time step (s)

alpha                   thermal diffusivity (m²/s)

Use the following initial and boundary conditions:

Initialize the body to T = 0 ^oC. At time t = 0, boundary conditions are imposed such that the temperatures on the sides of the square vary linearly. Here are the corner temperatures:

bottom left corner:         T =   50 ^oC

bottom right corner:      T = 500 ^oC

top right corner:             T = 350 ^oC

top left corner:               T = 150 ^oC

Write the function definition statement. If you type doc function at the MATLAB command prompt it will give you details on the proper syntax. The syntax is general, showing how to use both inputs and outputs. We will have no outputs, only the four inputs noted above.

Make the name of your function the same as the name of your file. For example, if you call your function heat, then your filename should be heat.m.

Create a variable name for each of the four corner boundary conditions and the initial condition, and set their values.

Noting that the temperature on each edge varies linearly, calculate the temperature at every grid point on the outer boundaries. You’ll need the corner temperatures to do this calculation.

Create an array to contain the “old” temperature field at time level p, and call it told. A convenient way to do this is to use the ones function (look at doc ones), which creates an array of all ones of specified dimensions. An easy way to set the field to the initial condition is to multiply this array by the initial temperature.

If there are any calculated variables that you will use multiple times, calculate them. For example, it’s handy to have a variable npm = npts – 1, where npts is the input number of points in each direction.

Create an array to contain the “current” solution at time level p+1, and call it tnew. An easy way to do initialize it in MATLAB is to simply use

tnew = told;

Create a time loop going from 1 to nt, where nt is the input number of time steps.

Inside the time loop, create two other nested loops, one for the “m” indices (x direction) and one for the “n” indices (y direction). Since we don’t have to re-calculate any values on boundaries, the loops will go from 2 to npm.

For each pair of indices within the loops, calculate the solution at time level p+1 (tnew) as a function of temperatures at time level p (told) using the finite-difference form of the 2-D heat equation.

We are going to do a simple animation of the unsteady results as they evolve. Use the contourf function to create the evolving contour plot. (doc contourf) One of the arguments is the number of contours, and 20 seems to work well for this problem. We want to re-draw the contour plot once per time step, so contourf should be called after the end of the nested spatial loops, but before the end of the time loop. It’s not necessary to use a plot handle as we did in the example in class. Simply call contour each time through the loop.

MATLAB tries to be efficient, so when it sees the contourf function, it will buffer the results rather than plotting them right away. We don’t want it to buffer since we want to create a real-time animation. To prevent buffering, include a drawnow statement on a separate line immediately after the call to contourf. (This is similar to the example we did in class.)

Now that the current time step is complete, we have to copy the new solution to the old one so we can go on to the next iteration, told = tnew. Make this the last line before the end of the time loop.

Add the following to the end of the time loop. The first line adds a “colorbar,” which is a scale showing the correspondence between temperatures and colors. The second line adds a label to the colorbar. Finally, the third line gets rid of the plot axes, since we don’t need them here.

hc = colorbar;

hc.Label.String = ‘Temperature, deg. C’;

axis off

When you’re got your program ready to run, use the following input values:

npts = 40

nt = 1000

dt = 0.1

alpha = 0.001

To run the program, simply type

heat(40, 1000, 0.1, 0.001)

i) Discuss the national plans and policies of ASEAN member states relevant to the growth of Renewable Energy towards regional sustainable development. How would Malaysia play a role in achieving this? You are allowed to include case studies as proof of existing schemes.

ii) Identify the economic enablers to propel Renewable Energy growth at each ASEAN member states.

What historical "first" in spaceflight shocked the world on October 4, 1957, triggering the beginning of the space age and motivating the formation of NASA the following year?

A centrifugal pump is driven at 1300 rpm by a 10 hp motor and delivers 250 GPM at 85 Fahrenheit water against 75 ft water head, assuming that the initial pump efficiency is 65 % doesn’t vary appreciably the maximum flow the pump can deliver is most nearly

4. When does a surface have its total hemispherical emissivity equal to its total hemispherical absorptivity for radiation coming from a blackbody?

A. When the surface temperature is equal to the temperature of the source of radiation

B. When the surface temperature is greater than the temperature of the source of radiation

C. When the surface temperature is less than the temperature of the source of radiation

D. When the surface temperature and the temperature of the source of radiation are equal to absolute zero