Maximum Distance Traveled with Constant Propulsion

AI Thread Summary
The discussion centers on determining the optimal launch angle for a rocket to achieve maximum horizontal distance when propelled with a constant force. Key points include the importance of accounting for gravitational forces and the rocket's initial conditions, such as whether it is launched from rest or with an initial velocity. The complexity of the problem arises from the need to differentiate the distance function, which some participants find cumbersome and suggest numerical methods as alternatives. Additionally, the effectiveness of the propulsion force is questioned, particularly if it does not exceed gravitational acceleration. Overall, the conversation highlights the challenges in maximizing distance under constant propulsion while considering real-world physics.
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Lets say that we have a rocket positioned at a certain angle
c7d457e388298246adb06c587bccd419ea67f7e8.png
with respect to the horizontal. The rocket is fired, with a constant propulsion force of
cc98d2f326f98bfdea5c92175e579fb756b2405c.png
. Assume that the rocket has a constant mass of
fc606f7f1e530731ab4f1cc364c01dc64a4455ee.png
kg (the gas used to propel the rocket is negligibly small). What is the optimal angle
c7d457e388298246adb06c587bccd419ea67f7e8.png
with which the rocket must be fired to have the farthest distance covered when it lands on the ground?


You can view my attempt https://latex.artofproblemsolving.com/miscpdf/eyecbxwg.pdf?t=1500934067562.

The differentiating process to find the max value of x is very messy and requires a calculator.

I was wondering if there are any better approaches to this problem.
 
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Your rocket will never leave the ground - even if you point it straight vertically into the air. So it makes no difference.

Here's what could change it:
1) put wings on it.
2) Increase the propulsion so that the acceleration is more than 1G. Then point it straight up and it will eventually achieve escape velocity.
 
Can you explain to me why it will not leave the ground?
 
ciao_potter said:
Can you explain to me why it will not leave the ground?
You haven't accounted for the weight of the rocket (gravitational force). Draw the FBD.
 
ciao_potter said:
Lets say that we have a rocket positioned at a certain angle View attachment 207744 with respect to the horizontal. The rocket is fired, with a constant propulsion force of View attachment 207745. Assume that the rocket has a constant mass of View attachment 207746 kg (the gas used to propel the rocket is negligibly small). What is the optimal angle View attachment 207747 with which the rocket must be fired to have the farthest distance covered when it lands on the ground?

You can view my attempt https://latex.artofproblemsolving.com/miscpdf/eyecbxwg.pdf?t=1500934067562.

The differentiating process to find the max value of x is very messy and requires a calculator.

I was wondering if there are any better approaches to this problem.

I think the problem is ill-conceived. Here is why:

How does your rocket get launched? Is it on a catapult that hurls it up at initial vertical speed ##v_{0y}##, or is it launched from rest like most rockets? If the latter, you have initial ##x## and ##y## velocities equal to zero, but horizontal acceleration ##a_x = a \cos \alpha## and vertical acceleration ##a_y = a \sin \alpha - g##, where ##g## is the acceleration of gravity (##g \doteq 9.8## (##m/\text{sec}^2##). Anyway, if the angle ##\alpha## remains constant your rocket will travel in a straight line until its fuel runs out; then it will go into free-fall, but from a nonzero ##(x,y)## location with ##y > 0## and with some nonzero initial velocities ##v_x## and ##v_y##. Its total ##x##-range is the distance from the starting point ##(0,0)## and the final point where ##y=0## again at the end of the free-fall phase.

It is possible to obtain an expression for the ##x##-range in terms of ##\alpha## and ##T## (the total fuel burn-time), but maximizing it "analytically" is difficult. However, given a specific burn-time, the problem can be solved numerically using an optimization package (such as the EXCEL solver, for example).
 
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