A box of volume 8 m^3 with a square top and bottom is constructed out of two types of metal. The metal for the top and bottom costs $70/m^2 and the metal for the sides costs $40/m^... A box of volume 8 m^3 with a square top and bottom is constructed out of two types of metal. The metal for the top and bottom costs $70/m^2 and the metal for the sides costs $40/m^2. Find the dimensions of the box that minimize the total cost: Length of the sides of the square base and height of the box.
Understand the Problem
The question is asking for the optimal dimensions (length of the sides of the square base and height of the box) of a box with a given volume that minimizes the total cost of materials used for its construction. To solve it, we need to set up the cost function based on the dimensions and volume constraints, and then use optimization techniques.
Answer
- Side length of the base: $x = \left( \frac{2C_s V_0}{C_b} \right)^{1/3}$ - Height of the box: $h = \frac{C_b^{2/3} V_0^{1/3}}{(2C_s)^{2/3}}$
Answer for screen readers
The optimal dimensions for the box that minimizes cost are:
- Side length of the base: $x = \left( \frac{2C_s V_0}{C_b} \right)^{1/3}$
- Height of the box: $h = \frac{C_b^{2/3} V_0^{1/3}}{(2C_s)^{2/3}}$
Steps to Solve
- Set up the volume constraint
Let the side length of the square base be $x$ and the height of the box be $h$. The volume of the box is given by the formula:
$$ V = x^2 h $$
We know the volume is a constant value, say $V_0$. Thus, we can express $h$ in terms of $x$:
$$ h = \frac{V_0}{x^2} $$
- Define the cost function
Next, we need to determine the cost of materials used to construct the box. Let's assume the cost per square unit of the base is $C_b$ and the cost per square unit of the sides is $C_s$. The surface area of the box comprises:
- Area of the base: $x^2$
- Area of the four sides: $4(xh)$
Thus, the total cost function $C$ becomes:
$$ C = C_b x^2 + C_s(4xh) $$
- Substitute for height in the cost function
Now, substitute $h$ into the cost function to express everything in terms of $x$:
$$ C = C_b x^2 + C_s \left(4x \cdot \frac{V_0}{x^2}\right) $$
This simplifies to:
$$ C = C_b x^2 + \frac{4C_s V_0}{x} $$
- Differentiate the cost function
To minimize the cost, we need to take the derivative of the cost function with respect to $x$:
$$ \frac{dC}{dx} = 2C_b x - \frac{4C_s V_0}{x^2} $$
- Find critical points
Set the derivative equal to zero to find critical points:
$$ 2C_b x - \frac{4C_s V_0}{x^2} = 0 $$
Rearranging gives:
$$ 2C_b x^3 = 4C_s V_0 $$
Now solve for $x$:
$$ x^3 = \frac{2C_s V_0}{C_b} $$
Thus:
$$ x = \left( \frac{2C_s V_0}{C_b} \right)^{1/3} $$
- Calculate height using found $x$
Using the value of $x$, we can find the height $h$ using our earlier volume constraint:
$$ h = \frac{V_0}{x^2} = \frac{V_0}{\left( \frac{2C_s V_0}{C_b} \right)^{2/3}} $$
This simplifies to:
$$ h = \frac{C_b^{2/3} V_0^{1/3}}{(2C_s)^{2/3}} $$
The optimal dimensions for the box that minimizes cost are:
- Side length of the base: $x = \left( \frac{2C_s V_0}{C_b} \right)^{1/3}$
- Height of the box: $h = \frac{C_b^{2/3} V_0^{1/3}}{(2C_s)^{2/3}}$
More Information
This solution provides the optimal dimensions for the box based on the given volume and costs associated with the materials. It demonstrates how calculus can be applied in real-world contexts, such as optimizing materials and costs in construction.
Tips
- Forgetting to substitute $h$ back into the cost function, which leads to incorrect calculations.
- Failing to check whether the critical points found are indeed minimizing the cost; it's important to verify the second derivative or use other methods to confirm a minimum.
- Misapplying the volume formula or cost expressions, which can happen if unit conversions are overlooked.
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