Archaeology / Pottery Firing Temperature Dilatometry
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LABORATORY 09 · ARCHAEOLOGY

Pottery Firing Temperature Dilatometry lab report

A worked pottery firing temperature dilatometry lab report with sample observation tables, regression plots, calculations, and error analysis.

WORKED EXAMPLE · BENCHMARK OBSERVATIONS

A complete example archaeology laboratory report.

Simulated demonstration data.

This report illustrates formal archaeological data reduction, instrument calibration tares, and parameter estimation. Replace its observations with your own experimental telemetry when preparing an archaeology laboratory report submission.

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

1. Title and aim

Pottery Firing Temperature Estimation: Thermal Dilatometry & TMA. Estimate original ancient kiln firing temperature by measuring the onset of irreversible thermal contraction (sintering) during laboratory dilatometric re-firing.

2. Abstract

Laboratory evaluation of Pottery Firing Temperature Estimation: Thermal Dilatometry & TMA was conducted across six calibrated setpoints under standard laboratory conditions. Measured empirical telemetry was reduced and linearized, yielding an ordinary least-squares correlation coefficient R² = 1.000000. The experimental parameter Pottery Thermal Expansion Coefficient was estimated as 0.1650 (x10^-2 %)/(100 °C), comparing against the standard reference benchmark of 0.1650 (x10^-2 %)/(100 °C) with a relative percentage deviation of 0.0000%.

3. Apparatus and fixed settings

4. Theory and graph choice

Estimate original ancient kiln firing temperature by measuring the onset of irreversible thermal contraction (sintering) during laboratory dilatometric re-firing.

ΔL / L_0 = 0.1650 · T + 0.1200

Plotting Re-firing furnace test temperature T (x100 °C) on the horizontal abscissa against Thermal expansion ΔL / L_0 (x10^-2 %) on the vertical ordinate demonstrates the linear governing response predicted by Pottery Firing Temperature Dilatometry archaeometric formulations.

5. Method

  1. Inspect all optical, electrical, and radiometric sensors. Verify instrument calibration against certified reference materials and perform electronic zero tare.
  2. Clean, dry, or prepare the archaeological sample according to standardized micro-analytical protocols to eliminate modern surface contamination.
  3. Mount the specimen securely within the sensor housing or establish spatial grid coordinates. Verify alignment of the furnace temperature with primary excavation datum.
  4. Increment the furnace temperature systematically across the designated domain (4.0 to 9.0 x100 °C), permitting full signal equilibration at each measurement station.
  5. Record the primary dependent variable (Relative Thermal Linear Expansion ΔL / L_0) alongside auxiliary environmental monitors. Validate signal stability and confirm low noise thresholds.
  6. Cycle the sensor through a verification standard to confirm zero baseline drift, de-energize primary drives, and export all digital telemetry observations to the persistent laboratory database.

6. Observations and calculation table

All archaeological observations use strictly controlled 64-bit IEEE 754 precision buffers under conditioned equilibrium. Residuals are computed relative to the ordinary least-squares regression line.

Table 1. Six simulated observations; x and y represent transformed archaeological metrics.
No.Re-Firing Furnace Test Temperature T (x100 °C)Relative Thermal Linear Expansion ΔL / L_0 (x10^-2 %)Re-firing furnace test temperature T (x100 °C)Thermal expansion ΔL / L_0 (x10^-2 %)Fitted yResidual
14.00.784.00000.78000.78000.0000
25.00.9455.00000.94500.94500.0000
36.01.116.00001.11001.11000.0000
47.01.2757.00001.27501.2750-0.0000
58.01.448.00001.44001.4400-0.0000
69.01.6059.00001.60501.6050-0.0000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

x = 4.0000; y = 0.7800; fitted_y = 0.1650 · x + 0.1200 = 0.7800

8. Graph, gradient and final calculation

3.750.744.850.925.951.107.051.288.151.469.251.65Re-firing furnace test temperature T (x100 °C)Thermal expansion ΔL / L_0 (x10^-2 %)

Circular markers represent empirical observations. The solid line represents the ordinary least-squares linear fit.

x̄ = 6.5000; ȳ = 1.1925
Σ(x − x̄)² = 17.5000
Σ(x − x̄)(y − ȳ) = 2.8875
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 0.16500000
b = ȳ − mx̄ = 0.12000000
Pottery Thermal Expansion Coefficient = 0.16500 (x10^-2 %)/(100 °C)

9. Uncertainty and comparison

Percentage difference = |estimate − theoretical value| / |theoretical value| × 100 = 0.0000%.

For n = 6 observations, Σresidual² = 3.858e-30; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 2.348e-16. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 1.578e-15.

Propagating the fit parameters yields a fit standard error of 2.348e-16 (x10^-2 %)/(100 °C), with an ideal coefficient of determination R² = 1.000000.

Instrumental and regression uncertainty for Pottery Firing Temperature Dilatometry is constrained within 0.02% of certified calibration reference materials.

10. Result and discussion

Pottery Thermal Expansion Coefficient = 0.1650 (x10^-2 %)/(100 °C)
Theoretical reference value: 0.1650 (x10^-2 %)/(100 °C)

Experimental observations across all six trials demonstrate rigorous agreement with governing analytical models. OLS linear regression yielded slope m = 0.165000 and intercept b = 0.120000, validating the governing equation ΔL / L_0 = 0.1650 · T + 0.1200 with R² = 1.000000.

11. Precautions and limitations

Archaeometric interpretations assume verified conservation standards and absence of modern contamination. Diagenetic weathering models apply within verified geological limits.

12. Conclusion

The experimental determination of Pottery Firing Temperature Estimation: Thermal Dilatometry & TMA confirmed the analytical model within an experimental uncertainty of 0.0000%. Standardized calibration protocols ensure high laboratory repeatability.

In-Depth Technical Supplement & Archaeological Science Derivation

1. Title and Objective

Pottery Firing Temperature Estimation: Thermal Dilatometry & TMA. Estimate original ancient kiln firing temperature by measuring the onset of irreversible thermal contraction (sintering) during laboratory dilatometric re-firing. This formal laboratory report documents experimental data acquisition, mathematical model calibration, regression analysis, error propagation, and physical parameter extraction for pottery firing temperature dilatometry.

2. Abstract

An experimental investigation of pottery firing temperature dilatometry was conducted using precision archaeometric instrumentation across six systematic setpoints of furnace temperature ranging from 4.0 to 9.0 x100 °C. All archaeological specimens were prepared, cleaned, and conditioned under controlled laboratory environments prior to evaluation. Measured relative thermal linear expansion δl / l_0 data were logged using calibrated digital transducers, multi-channel telemetry systems, and optical sensors. Ordinary least-squares regression yielded an empirical calibration line of ΔL / L_0 = 0.1650 · T + 0.1200 with a coefficient of determination R² = 1.000000. The derived experimental parameter Pottery Thermal Expansion Coefficient was evaluated as 0.165 (x10^-2 %)/(100 °C), demonstrating complete agreement with theoretical benchmark expectations within 0.02% experimental error.

3. Experimental Apparatus & Standard Settings

  • Pottery Firing Temperature Dilatometry Workstation & Field Sensor Rig: Provides rigid calibrated mounting, standardized environmental control, and precise positioning for reversible vs irreversible sintering contraction, vitrification threshold, ancient pyrotechnology.
  • Calibrated Digital Archaeometric Transducer & Sensor Head: Quantifies physical, chemical, or optical responses with high baseline sensitivity and ±0.05% measurement accuracy.
  • Multi-Channel Digital Telemetry Data Logger (Class 0.2): Samples resistance, potential, magnetic flux, optical absorbance, and temperature at 1 kHz with 24-bit resolution.
  • Precision Specimen Preparation & Thin-Section Polishing Rig: Prepares microscopic petrographic sections, resin-embedded blocks, or powder samples under controlled thickness (30 μm).
  • Certified Archaeological & Geological Reference Standards Set: Provides verified isotopic, elemental, or dimensional benchmarks before establishing furnace temperature setpoints.
  • Grounded Shielded Instrumentation Leads & Environmental Enclosure: Eliminates stray electromagnetic interference, electrostatic charge drift, and thermal fluctuations in field laboratories.
  • Environmental Ambient Conditions: Ambient laboratory temperature 20.0 ± 0.5 °C; relative humidity 50.0 ± 2.0%; atmospheric pressure 101.325 kPa.
  • Pre-Treatment & Cleaning Protocol: Certified solvent cleaning and ultrasonic bath decontamination applied to isolate authentic endogenous signals.

4. Theory & Graphical Coordinate Selection

According to the governing principles of pottery firing temperature dilatometry, the physical archaeometric response follows the linear transformation:

ΔL / L_0 = 0.1650 · T + 0.1200

To evaluate the intrinsic physical parameter (Pottery Thermal Expansion Coefficient), the experimental data are plotted with Re-firing furnace test temperature T (x100 °C) on the horizontal abscissa and Thermal expansion ΔL / L_0 (x10^-2 %) on the vertical ordinate. The gradient of the resulting least-squares linear line directly yields the parameter magnitude.

5. Step-by-Step Experimental Method

  1. Apparatus Calibration & Baseline Standard Verification: Inspect all optical, electrical, and radiometric sensors. Verify instrument calibration against certified reference materials and perform electronic zero tare.
  2. Specimen Conditioning & Matrix Preparation: Clean, dry, or prepare the archaeological sample according to standardized micro-analytical protocols to eliminate modern surface contamination.
  3. Sensor Alignment & Baseline Datum Acquisition: Mount the specimen securely within the sensor housing or establish spatial grid coordinates. Verify alignment of the furnace temperature with primary excavation datum.
  4. Systematic Parameter Variation & Acquisition: Increment the furnace temperature systematically across the designated domain (4.0 to 9.0 x100 °C), permitting full signal equilibration at each measurement station.
  5. Multi-Channel Telemetry Recording & Signal Integration: Record the primary dependent variable (Relative Thermal Linear Expansion ΔL / L_0) alongside auxiliary environmental monitors. Validate signal stability and confirm low noise thresholds.
  6. Post-Test Verification & Digital Archive Export: Cycle the sensor through a verification standard to confirm zero baseline drift, de-energize primary drives, and export all digital telemetry observations to the persistent laboratory database.

6. Raw Experimental Observations & Data Tabulation

All experimental observations were recorded under steady-state thermal and mechanical equilibrium. The table below summarizes the recorded telemetry across the experimental domain.

Table 1. Experimental observation telemetry for Pottery Firing Temperature Dilatometry.
Trial # Re-Firing Furnace Test Temperature T (x100 °C) Relative Thermal Linear Expansion ΔL / L_0 (x10^-2 %) Transformed x Transformed y Residual
14.04.04.00004.0000.000
25.05.05.00005.0000.000
36.06.06.00006.0000.000
47.07.07.00007.0000.000
58.08.08.00008.0000.000
69.09.09.00009.0000.000

7. Worked Calculation for Representative Observation

For Trial 3 (Furnace Temperature = 6.0 x100 °C):

x_3 = 6.0 x100 °C
y_3 = 0.1650 · (6.0) = 6.0 x10^-2 %

The calculated point aligns precisely with the least-squares regression line, demonstrating excellent instrument linearity.

8. Telemetric Graphical Representation

The scatter plot displays measured Relative Thermal Linear Expansion ΔL / L_0 against Furnace Temperature. The empirical slope directly yields Pottery Thermal Expansion Coefficient = 0.165 (x10^-2 %)/(100 °C) with R² = 1.000000.

9. Ordinary Least-Squares (OLS) Regression Analysis

Linear regression parameters were calculated using standard formulas:

m = \frac{N \sum xy - \sum x \sum y}{N \sum x^2 - (\sum x)^2} = 0.1650
R^2 = 1.000000

The coefficient of determination confirms an optimal linear model without systematic curvature across the test range.

10. Sources of Experimental Uncertainty & Error Propagation

Potential sources of uncertainty include sample inhomogeneity, micro-taphonomic weathering, baseline instrument drift, and ambient temperature fluctuations. Standard error of the regression slope is less than 0.0001, verifying high precision.

11. Discussion of Anthropological & Archaeological Significance

The validated empirical relationship directly reinforces core archaeological theory. By confirming Pottery Thermal Expansion Coefficient = 0.165 (x10^-2 %)/(100 °C), researchers can reliably interpret stratigraphic chronology, sourcing patterns, and cultural behaviors from physical material evidence.

12. Conclusions & Methodological Recommendations

The experiment successfully established the quantitative validity of Pottery Firing Temperature Estimation: Thermal Dilatometry & TMA. For future field investigations, incorporating multi-element geostatistical mapping and high-resolution micro-CT scanning is recommended.

Simulated demonstration data.