Estimating copper resistivity at elevated temperature (700 K) A copper specimen has resistivity ρ ≈ 1.8 × 10^-8 Ω·m at room temperature (~293 K). Using a linear temperature coefficient model with α ≈ 3.9 × 10^-3 K^-1, estimate the resistivity at 700 K. Choose the closest value.

Difficulty: Medium

Correct Answer: 4.7 × 10^-8 Ω·m

Explanation:


Introduction / Context:
Metallic resistivity increases with temperature due to enhanced electron–phonon scattering. For engineering estimates far from phase transitions, a linear temperature coefficient model is widely used. This question checks your ability to apply ρ(T) = ρ0 [1 + α (T − T0)].


Given Data / Assumptions:

  • Base resistivity: ρ0 = 1.8 × 10^-8 Ω·m at T0 ≈ 293 K.
  • Target temperature: T = 700 K.
  • Temperature coefficient: α ≈ 3.9 × 10^-3 K^-1 (typical for copper near room temperature).
  • Linear model valid over this range for an estimate.


Concept / Approach:

Use the linear relation ρ(T) = ρ0 [1 + α (T − T0)]. Compute the temperature rise and scale ρ0 accordingly to get the elevated-temperature resistivity. Select the closest option to the computed value.


Step-by-Step Solution:

Compute ΔT = T − T0 = 700 − 293 = 407 K.Compute the factor: 1 + α ΔT = 1 + (3.9 × 10^-3) * 407 ≈ 1 + 1.5873 ≈ 2.5873.Multiply: ρ(T) ≈ 1.8 × 10^-8 * 2.5873 ≈ 4.66 × 10^-8 Ω·m.Closest choice: 4.7 × 10^-8 Ω·m.


Verification / Alternative check:

Using α in the range 3.8–4.1 × 10^-3 K^-1 yields ρ(T) ≈ 4.6–4.8 × 10^-8 Ω·m, consistent with the selected value.


Why Other Options Are Wrong:

2.0 and 1.6 × 10^-8 Ω·m are near or below room-temperature values; 3.0 × 10^-8 Ω·m underestimates the increase; 6.0 × 10^-8 Ω·m overestimates typical linear scaling to 700 K.


Common Pitfalls:

Forgetting to convert temperature to Kelvin for ΔT or using α with the wrong sign; assuming constant α far outside the fitted range without sanity checks.


Final Answer:

4.7 × 10^-8 Ω·m

More Questions from Materials and Components

Discussion & Comments

No comments yet. Be the first to comment!
Join Discussion