it makes it so that its much easier to have these objects around,like how when you wear the translator its much more simple,and instant.
Answer:
The convective coefficient is 37.3 W/m²K.
Explanation:
Use Newton’s law of cooling to determine the heat transfer coefficient. Assume there is no heat transfer from the ends of electric resistor. Heat is transferred from the resistor curved surface.
Step1
Given:
Diameter of the resistor is 2 cm.
Length of the resistor is 16 cm.
Current is 5 amp.
Voltage is 6 volts.
Resistor temperature is 100°C.
Room air temperature is 20°C.
Step2
Electric power from the resistor is transferred to heat and this heat is transferred to the environment by means of convection.
Power of resistor is calculated as follows:
P=VI

P= 30 watts.
Step3
Newton’s law of cooling is expressed as follows:

Here, h is the convection heat coefficient and
is the exposed surface area of the resistor.
Substitute the values as follows:


h = 37.3 W/m²K.
Thus, the convective coefficient is 37.3 W/m²K.
Answer:
Temperature change is 0.0345 degree rankine
The change in temperature is therefore small
Explanation:
Please see attached for the workings.
Answer:
So % increment in tool life is equal to 4640 %.
Explanation:
Initially n=0.12 ,V=130 m/min
Finally C increased by 10% , V=90 m/min
Let's take the tool life initial condition is
and when C is increased it become
.
As we know that tool life equation for tool

At initial condition
------(1)
At final condition
-----(2)
From above equation


So increment in tool life =
=
So % increment in tool life is equal to 4640 %.
Answer:
Steps:
1. Create a text file that contains blade diameter (in feet), wind velocity (in mph) and the approximate electricity generated for the year
2. load the data file for example, in matlab, use ('fileame.txt') to load the file
3. create variables from each column of your data
for example, in matlab,
x=t{1}
y=t{2}
4. plot the wind velocity and electricity generated.
plot(x, y)
5. Label the individual axis and name the graph title.
title('Graph of wind velocity vs approximate electricity generated for the year')
xlabel('wind velocity')
ylabel('approximate electricity generated for the year')