To solve the problem of finding the increase in surface area and volume of a brass cube when heated from 20.0°C to 75.0°C, we need to consider how temperature affects the dimensions of solids. Brass, like most materials, expands when heated. The change in dimensions can be calculated using the coefficients of linear expansion.
Understanding Linear Expansion
The linear expansion of a material is described by the formula:
ΔL = L₀ * α * ΔT
- ΔL is the change in length.
- L₀ is the original length (edge length of the cube).
- α is the coefficient of linear expansion for the material (for brass, it's approximately 19 x 10-6 °C-1).
- ΔT is the change in temperature.
Calculating the Change in Length
First, we need to determine the change in temperature:
ΔT = 75.0°C - 20.0°C = 55.0°C
Now we can calculate the change in length:
ΔL = 33.2 cm * (19 x 10-6 °C-1) * 55.0°C
Calculating this gives:
ΔL ≈ 33.2 cm * 1.045 x 10-3 ≈ 0.0347 cm
New Edge Length
The new edge length after heating is:
L = L₀ + ΔL = 33.2 cm + 0.0347 cm ≈ 33.2347 cm
Surface Area Increase
The surface area (A) of a cube is calculated using the formula:
A = 6 * L²
Calculating the original surface area:
A₀ = 6 * (33.2 cm)2 ≈ 6 * 1102.24 cm2 ≈ 6613.44 cm2
Now, calculating the new surface area:
A = 6 * (33.2347 cm)2 ≈ 6 * 1105.56 cm2 ≈ 6633.36 cm2
The increase in surface area is:
ΔA = A - A₀ = 6633.36 cm2 - 6613.44 cm2 ≈ 19.92 cm2
Volume Increase
The volume (V) of a cube is given by:
V = L³
Calculating the original volume:
V₀ = (33.2 cm)3 ≈ 36722.88 cm3
Now, calculating the new volume:
V = (33.2347 cm)3 ≈ 36757.66 cm3
The increase in volume is:
ΔV = V - V₀ = 36757.66 cm3 - 36722.88 cm3 ≈ 34.78 cm3
Summary of Results
In summary, when the brass cube is heated from 20.0°C to 75.0°C:
- The increase in surface area is approximately 19.92 cm2.
- The increase in volume is approximately 34.78 cm3.
This demonstrates how thermal expansion affects both the surface area and volume of materials, which is an important concept in physics and engineering. Understanding these changes is crucial for applications where temperature variations are expected.