Fluid Dynamics & Reynolds Number
Plotting Moody friction factor charts against Reynolds numbers across laminar and turbulent regimes.
paper.log-log.desc
Log-log paper features logarithmic scaling along both axes. Power-law equations y = a · x^b transform into straight lines where the slope represents the exponent b and the y-intercept at x = 1 represents log10(a).
y = a · x^b ⟹ log10(y) = log10(a) + b · log10(x)Log-log plotting became a cornerstone of fluid dynamics, aerodynamics, and structural mechanics in the early 20th century, enabling engineers to empirically determine Reynolds numbers and friction factors.
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Plotting Moody friction factor charts against Reynolds numbers across laminar and turbulent regimes.
Analyzing decibel sound pressure vs. distance to verify the inverse square attenuation law.
Verifying orbital period T² ∝ a³ where log(T) vs log(a) yields a line with exact slope 1.5.
Plotting cyclic stress amplitude against fatigue cycles to failure (Wöhler curves).
Assign power-of-ten multipliers to each decade boundary on both axes (e.g. X: 10⁰ to 10², Y: 10⁻¹ to 10³).
Find the appropriate decade for each variable, then use the internal subdivision ticks (2 through 9) to pinpoint values.
Draw the best-fit line across the points. Power-law relationships will form a straight line.
Measure the physical rise over run (ΔY / ΔX) using a millimeter ruler to determine the power exponent b.
Ensure decade widths along X and Y match your intended aspect ratio without skewing power-law slope measurements.
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