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Linear Interpolation Calculator

Interpolate Between Data Points

Linear Interpolation Tool
Performs linear interpolation between data points for property estimation and table lookups. Essential tool for extracting intermediate values from engineering charts and property tables.

First Data Point

Second Data Point

Interpolation Point

Enter the X value for which you want to find the corresponding Y value.

Formula

Y = Y₁ + (X - X₁) × (Y₂ - Y₁) / (X₂ - X₁)
Y = Interpolated value
(X₁, Y₁) = First data point
(X₂, Y₂) = Second data point
X = Value to interpolate at

Common Applications

  • Property Tables
    Steam tables, gas properties, compressibility factors
  • Equipment Curves
    Compressor maps, pump curves, valve coefficients
  • Material Properties
    Temperature-dependent properties, thermal expansion

Important Notes

  • Linear interpolation assumes a straight line between data points
  • Extrapolation (X outside X₁-X₂ range) increases uncertainty
  • For nonlinear data, consider using more sophisticated methods
  • Ensure X₁ ≠ X₂ to avoid division by zero
  • Best accuracy when X is close to the midpoint between X₁ and X₂

Frequently Asked Questions

What is linear interpolation and when is it used in engineering?

Linear interpolation estimates an intermediate value between two known data points by assuming a straight-line relationship. It is widely used in engineering to extract values from property tables, pipe schedule data, and correction factor charts.

How is linear interpolation calculated?

The interpolated value y is calculated as y = y₁ + (x − x₁) × (y₂ − y₁) / (x₂ − x₁), where (x₁, y₁) and (x₂, y₂) are the known data points and x is the target value. The method assumes the relationship between points is approximately linear.

What is the difference between interpolation and extrapolation?

Interpolation estimates values within the range of known data points and is generally reliable. Extrapolation estimates values beyond the known range and becomes increasingly uncertain as the distance from the data increases, requiring engineering judgment on validity.