Question

Optimizing cylinder volume from a rectangular sheet metal

Original question: 2. A rectangular piece of sheet metal with perimeter 50 cm is rolled into a cylinder with open ends as shown in the diagram. Find the dimensions of the rectangle that maximize the volume of the cylinder and find the maximum volume.

V=\pi r^2h x=2\pi r y=h x+2y=50 P=2\pi r+2\pi r+2h?
50=4\pi r+2h 50-4\pi r=2h 50-4\pi r\over 2 = h 25-2\pi r = h

V=\pi r^2(25-2\pi r) 2nd→ Trace → max

(2.65, 14.21) r V

x=2\pi(2.65)=16.65 y=h=25-2\pi(2.65)=8.35

16.65 cm × 8.35 cm

Expert Verified Solution

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Expert intro: This is an optimization problem with a volume function and a perimeter constraint. The key is to express everything in one variable, then use calculus to locate the maximum.

Detailed walkthrough

Set up the variables

Let the rectangle have side lengths xx and yy, where the sheet is rolled to form an open cylinder. From the problem setup,

x=2πr,y=h,x=2\pi r, \qquad y=h,

and the perimeter constraint is

2x+2y=50.2x+2y=50.

Substitute x=2πrx=2\pi r and y=hy=h:

2(2πr)+2h=50,2(2\pi r)+2h=50,

which simplifies to

4πr+2h=50.4\pi r+2h=50.

So

h=252πr.h=25-2\pi r.

Write the volume as one variable

The volume of a cylinder is

V=πr2h.V=\pi r^2h.

Substitute the expression for hh:

V(r)=πr2(252πr).V(r)=\pi r^2(25-2\pi r).

Expanding gives

V(r)=25πr22π2r3.V(r)=25\pi r^2-2\pi^2r^3.

Differentiate and find the critical point

Differentiate with respect to rr:

V(r)=50πr6π2r2.V'(r)=50\pi r-6\pi^2r^2.

Factor:

V(r)=2πr(253πr).V'(r)=2\pi r(25-3\pi r).

Set the derivative equal to zero:

2πr(253πr)=0.2\pi r(25-3\pi r)=0.

The nonzero critical point is

r=253π.r=\frac{25}{3\pi}.

Then

h=252π(253π)=25503=253.h=25-2\pi\left(\frac{25}{3\pi}\right)=25-\frac{50}{3}=\frac{25}{3}.

Compute the maximum dimensions

So the rectangle dimensions are

x=2πr=2π(253π)=503 cm,x=2\pi r=2\pi\left(\frac{25}{3\pi}\right)=\frac{50}{3}\text{ cm},

and

y=h=253 cm.y=h=\frac{25}{3}\text{ cm}.

Numerically,

x16.67 cm,y8.33 cm.x\approx 16.67\text{ cm}, \qquad y\approx 8.33\text{ cm}.

The maximum volume is

V=π(253π)2(253)=1562527π184.1 cm3.V=\pi\left(\frac{25}{3\pi}\right)^2\left(\frac{25}{3}\right)=\frac{15625}{27\pi}\approx 184.1\text{ cm}^3.

Final answer

The rectangle that maximizes the cylinder volume has dimensions

503 cm×253 cm\boxed{\frac{50}{3}\text{ cm} \times \frac{25}{3}\text{ cm}}

and the maximum volume is

1562527π cm3184.1 cm3.\boxed{\frac{15625}{27\pi}\text{ cm}^3\approx 184.1\text{ cm}^3}.

💡 Pitfall guide

A common mistake is to use the perimeter equation as x+2y=50x+2y=50, which would be incorrect because a rectangle has perimeter 2x+2y2x+2y. Another issue is mixing up the rolled dimension: the side that becomes the circumference must be written as 2πr2\pi r, not πr2\pi r^2 or another length. Some students also stop after finding a critical point without checking whether it is a maximum. Here the second derivative or the shape of the volume function confirms that the critical point gives the greatest volume. Finally, keep the dimensions consistent in centimeters throughout the calculation.

🔄 Real-world variant

If the rectangle were rolled the other way, so that the longer side became the height instead of the circumference, the constraint would still be the same but the variable assignment would change. For example, if x=hx=h and y=2πry=2\pi r, then the algebra would look different, yet the optimization idea would remain identical. If the perimeter were 60 cm instead of 50 cm, the same derivative method would work, but the optimal dimensions would scale to the new constraint. The key is that one side always becomes the circumference and the other becomes the cylinder height.

🔍 Related terms

cylinder volume, derivative test, constraint optimization

FAQ

How do you maximize the volume of a cylinder from a fixed perimeter rectangle?

Express the cylinder volume in one variable using the perimeter constraint, differentiate the volume function, and solve for the critical point that gives the maximum.

Why does the derivative test matter in cylinder optimization problems?

The derivative test identifies the critical point where volume stops increasing and starts decreasing, which confirms the dimensions that give the greatest possible volume.

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