Physics / Vernier & micrometer metrology
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EXPERIMENT 14 · PHYSICS LABORATORY

Vernier & micrometer metrology lab report

A worked vernier & micrometer metrology lab report with simulated observation tables, graph, calculations, uncertainty and results.

WORKED EXAMPLE · SIMULATED OBSERVATIONS

A complete example report.

Simulated demonstration data.

This report shows the method and arithmetic. It is not evidence of a physical experiment. Replace its observations with your own measurements when preparing a real lab report.

Student: __________________Student ID: __________________Course: __________________Date: __________________Partner: __________________Instructor: __________________

1. Title and aim

Precision measurement of length, dimensions and determination of geometric scaling with Vernier calipers and micrometer gauges. Determine the fundamental circular geometric ratio π and investigate instrument zero errors and least count by precision measurement of cylinder diameters and circumferences using Vernier calipers and micrometer screw gauges.

2. Abstract

Five observations were generated from the ideal teaching model over the settings listed below. A straight-line fit gave an estimate of geometric ratio π of 3.14200 , differing by 0.013% from the model value. The reported scatter comes from scale rounding and any stated model approximation, not measured laboratory noise.

3. Apparatus and fixed settings

4. Theory and graph choice

For any Euclidean circular geometry, the ratio of perimeter circumference C to diameter d is strictly constant and defines the mathematical constant π: C = πd. In dimensional metrology, precision Vernier calipers measure diameter d across multiple orientations, while flexible precision steel ribbon rules measure circumference C. The linear regression slope directly yields π, while the y-intercept evaluates instrument zero offset and ribbon thickness corrections.

C = πd + b

The calculation fits y = mx + b in SI units. The graph may display scaled axes for readability; those display factors are removed before calculating the physical result. The gradient has units dimensionless.

5. Method

  1. Close the caliper jaws gently and observe whether the zero mark of the sliding vernier coincides with the zero mark of the main scale; record any positive or negative zero error.
  2. Clean the anvil and spindle faces with lens paper, rotate the ratchet thimble until it clicks three times against the anvil, and record any baseline circular division offset.
  3. Position the cylinder between the external caliper jaws perpendicular to the main beam, tighten the slide clamp gently, and read the main scale and matching vernier division.
  4. Wrap the flexible steel ribbon snugly around the cylinder circumference without twisting or stretching, ensuring the ribbon edges align flat against the metal surface.
  5. Read the main scale on the ribbon and the coincidence index with a magnifying loupe to record the boundary circumference C to the nearest 0.02 mm.
  6. Execute the diameter and circumference measurements for all five test cylinders spanning 15.0 mm to 35.0 mm to assemble the regression dataset.

6. Observations and calculation table

All observations use fixed model settings. Values are rounded only at the instrument reading stage; further calculations use full precision. Repeated physical trials are not claimed.

Table 1. Five simulated measurements; x and y are in SI units.
No.Cylinder diameter d (mm)Measured circumference C (mm)x (SI)y (SI)Fitted y (SI)Residual (SI)
115.047.120.015000.047120.04712-6.9389e-18
220.062.830.020000.062830.062830.00000
325.078.540.025000.078540.078541.3878e-17
430.094.250.030000.094250.094251.3878e-17
535.0109.960.035000.109960.109960.00000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

d = 15.0 mm = 0.01500 m; C = 47.12 mm = 0.04712 m. Single-reading ratio π = C/d = 3.14133. The slope over all observations gives the reported geometric ratio.

8. Graph, gradient and final calculation

40.8413.0059.6919.0078.5425.0097.3931.00116.2437.00Diameter d (10⁻³ m)Circumference C (10⁻³ m)

Dots show the sample observations. The line is the ordinary least-squares fit.

x̄ = 0.02500; ȳ = 0.07854
Σ(x − x̄)² = 2.5000e-04
Σ(x − x̄)(y − ȳ) = 7.8550e-04
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 3.14200000
b = ȳ − mx̄ = -1.0000e-05
π = m = 3.142000

9. Uncertainty and comparison

Percentage difference = |estimate − model value| / |model value| × 100 = 0.0130%. Percentage difference is not experimental uncertainty.

For n = 5 observations, Σresidual² = 4.3333e-34; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 7.6012e-16. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 1.9748e-17.

Propagating only the relevant fit coefficient gives a fit-only standard error of 7.6012e-16 . This is a one-standard-error quantity under the regression assumptions. Deterministic rounded model data do not supply a complete physical uncertainty budget.

Least count resolution (0.02 mm for vernier calipers, 0.01 mm for micrometers), contact pressure variations, specimen surface irregularities, and ribbon bending thickness contribute uncertainty. Measuring ribbon thickness creates an effective diameter d + t, giving a small positive intercept. The slope regression standard error evaluates random scatter, but does not include ribbon thermal expansion or scale calibration errors.

10. Result and discussion

π = 3.14200
Model comparison value: 3.14159

The observations follow the stated model relationship. Check whether the intercept and residual pattern suggest a systematic offset or a missing approximation. Agreement with the model does not independently verify its input constants.

11. Precautions and limitations

The simulation assumes an ideal Euclidean circular cylinder without surface ovality, taper, thermal expansion drift, or ribbon elasticity. Readings reflect standard metric least counts (caliper LC = 0.02 mm, micrometer LC = 0.01 mm, ribbon scale rounded to 0.02 mm) with true mathematical π = 3.14159265...

12. Conclusion

The worked example illustrates how to obtain geometric ratio π from measurements, graph variables and a fitted coefficient. The estimate is 3.14200 . A real experiment must additionally evaluate the apparatus-specific uncertainties and corrections described above.