Maximizing Range/Time in Air of an Airplane: Solving with Calculus

In summary, the conversation discusses maximizing the range and time of an airplane by minimizing the engine force and power, respectively. Calculus is used to find the minimum values, resulting in a maximum range of 120 km/h and a maximum time in air of 90 km/h. One minor typo is pointed out and corrected during the conversation.
  • #1
Argonaut
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Homework Statement
[ Young & Freedman - University Physics 13E, Ex 6.104]
An airplane in flight is subject to an air resistance force proportional to the square of its speed v. But there is an additional resistive force because the airplane has wings. Air flowing over the wings is pushed down and slightly forward, so from Newton's third law the air exerts a force on the wings and airplane that is up and slightly backward (Fig. P6.104). The upward force is the lift force that keeps the airplane aloft, and the backward force is called induced drag. At flying speeds, induced drag is inversely proportional to $v^2$, so the total air resistance force can be expressed by ##F_{air} = \alpha v^2 + \beta /v{^2}##, where ##\alpha## and ##\beta## are positive constants that depend on the shape and size of the airplane and the density of the air. For a Cessna 150, a small single-engine airplane, ##\alpha = 0.30 ~\rm{N} \cdot ~\rm{s^{2}/m^{2}}## and ##\beta = 3.5 \times 10^5 ~\rm{N} \cdot ~\rm{m^2/s^2}##. In steady flight, the engine must provide a forward force that exactly balances the air resistance force. (a) Calculate the speed (in km/h) at which this airplane will have the maximum range (that is, travel the greatest distance) for a given quantity of fuel. (b) Calculate the speed (in km/h) for which the airplane will have the maximum endurance (that is, remain in the air the longest time).
Relevant Equations
Work, kinetic force, power
IMG_20230423_100342__01.jpg


Is my solution correct? (I only have answers to odd-numbered exercises.)
Is it a good solution or have I overcomplicated things?

(a)

The forward force provided by the engine balances the air resistance force, so ##F_{engine}=F_{air} = \alpha v^2 + \beta /v{^2}##.

Let ##W_{engine}## be the energy content of the given quantity of fuel. Then ##W_{engine} = F_{engine}d ## where ##d## is range. So

$$ d = \frac{W_{engine}}{F_{engine}} = \frac{W_{engine}}{\alpha v^2 + \beta /v{^2}} $$

We want to maximise ##d##. We can achieve that if we minimise ##F_{engine}##, since ##W_{engine}## is a constant.

We use calculus to minimise it. Let ##f(v) = \alpha v^2 + \beta /v{^2}##. Then ##f'(v) = 2\alpha - \frac{2\beta}{v^3}##. We find the minimum value by setting ##f'(v) = 0## and rearranging it to express ##v##, we obtain

$$
v = \left(\frac{\beta}{\alpha}\right)^{1/4} = \left(\frac{3.5 \times 10^5 ~\rm{N} ~\rm{m^2/s^2}}{0.30 ~\rm{N} ~\rm{s^{2}/m^{2}}}\right)^{1/4} = 33 ~\rm{m/s} = 120 ~\rm{km/h}
$$

Thus the airplane will achieve the maximum range travelling at a speed of ##120 ~\rm{km/h}##.

(b)
##P_{av} = \frac{\Delta W}{\Delta t}## and we want to maximise ##\Delta t##. We can achieve this by minimising ##P##, since ##\Delta W = W_{engine}## is a constant. We use calculus to minimise ##P##. Let ##P = g(v)##. Then ##g'(v) = 3\alpha v^2-\frac{\beta}{v^2}##. Setting ##g'(v)=0## and rearranging it to express ##v##, we obtain

$$
v= \left(\frac{\beta}{3\alpha}\right)^{1/4} = \left(\frac{3.5 \times 10^5 ~\rm{N} ~\rm{m^2/s^2}}{3(0.30 ~\rm{N} ~\rm{s^{2}/m^{2}})}\right)^{1/4} = 25 ~\rm{m/s} = 90 ~\rm{km/h}
$$

Therefore, the airplane will achieve maximum time in air at a speed of ##90 ~\rm{km/h}##.
 
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  • #2
Looks correct to me.
 
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Likes Argonaut
  • #3
Looks fine except for a typo (dropped v) in the expression for f'.
 
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Likes Argonaut
  • #4
Thanks, both!
 
  • #5
Argonaut said:
We use calculus to minimise it. Let ##f(v) = \alpha v^2 + \beta /v{^2}##. Then ##f'(v) = 2\alpha v - \frac{2\beta}{v^3}##. We find the minimum value by setting ##f'(v) = 0## and rearranging it to express ##v##, we obtain...
Your v was missing after 2α.

Drag1_0.jpg
 

FAQ: Maximizing Range/Time in Air of an Airplane: Solving with Calculus

What is the role of calculus in maximizing the range or time in the air of an airplane?

Calculus plays a crucial role in optimizing the range or time in the air of an airplane by allowing us to model and analyze the continuous changes in various flight parameters. By using differential equations and optimization techniques, we can determine the optimal flight path, speed, and altitude that maximize efficiency and minimize fuel consumption.

How do you set up the problem of maximizing range or time in the air using calculus?

To set up the problem, you first need to define the relevant variables, such as velocity, altitude, and fuel consumption rate. Then, you formulate the equations of motion and constraints based on aerodynamic principles and the airplane's performance characteristics. The objective function, which could be either the total distance traveled (range) or the total time in the air, is then expressed in terms of these variables. Finally, you apply calculus techniques, such as taking derivatives and solving differential equations, to find the optimal conditions.

What are the key equations involved in solving these optimization problems?

The key equations typically include the equations of motion (Newton's second law), the drag equation, and the fuel consumption rate. For example, the range optimization problem often involves the Breguet range equation, which relates the range to the lift-to-drag ratio, fuel efficiency, and initial and final mass of the airplane. For time in the air, the equations may involve integrating the fuel consumption rate over time to find the total duration of the flight.

Can you provide an example of how to use the Euler-Lagrange equation in this context?

The Euler-Lagrange equation is used in the calculus of variations to find the path that minimizes or maximizes a certain integral. For example, if we want to maximize the range of an airplane, we can set up an integral that represents the total distance traveled as a functional of the flight path. By applying the Euler-Lagrange equation to this functional, we obtain a differential equation that describes the optimal flight path. Solving this differential equation gives us the conditions for maximum range.

What are some practical considerations when applying these theoretical solutions to real-world flights?

In practice, several factors need to be considered, such as weather conditions, air traffic control restrictions, and the airplane's operational limits. Additionally, the assumptions made in the theoretical models, such as constant fuel consumption rate or steady flight conditions, may not hold true in real scenarios. Therefore, the theoretical solutions often need to be adjusted and validated through simulations and flight tests to ensure they are practical and safe for real-world applications.

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