Chemical & Process Engineering / VLE Thermodynamic Consistency
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LABORATORY 33 · CHEMICAL & PROCESS ENGINEERING

VLE Thermodynamic Consistency lab report

A worked vle thermodynamic consistency lab report with sample observation tables, regression plots, calculations, and error analysis.

WORKED EXAMPLE · BENCHMARK OBSERVATIONS

A complete example chemical engineering laboratory report.

Simulated demonstration data.

This report illustrates formal chemical and process engineering data reduction, instrument calibration tares, and unit operations parameter estimation. Replace its observations with your own experimental telemetry when preparing a chemical engineering laboratory report submission.

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

1. Title and aim

Vapor-Liquid Equilibrium (VLE) & Thermodynamic Consistency via Wilson & Margules Activity Models. Operate a precision vapor-recirculating Othmer VLE still for a binary ethanol-water system at 101.325 kPa, determine equilibrium vapor and liquid mole fractions (y_1, x_1) using Abbe refractometry, compute liquid-phase activity coefficients (γ_1, γ_2), and evaluate thermodynamic consistency via the Margules and Wilson excess Gibbs energy models.

2. Abstract

Six controlled chemical process engineering observations were systematically evaluated across operational settings Liquid Mole Fraction x_1 = 0.1 mol/mol to Liquid Mole Fraction x_1 = 0.6 mol/mol for Vapor-Liquid Equilibrium (VLE) & Thermodynamic Consistency via Wilson & Margules Activity Models. Ordinary least-squares regression yielded an empirical Margules Binary Interaction Parameter A_12 of 0.7250 dimensionless (difference from theoretical reference = 0.0000%). The empirical telemetry conclusively validates the fundamental chemical engineering transport and equilibrium formulation with R² = 1.000000. The investigation demonstrates stable unit operations behavior, hydrodynamic and thermal reproducibility, and strict adherence to classical chemical engineering principles.

3. Apparatus and fixed settings

4. Theory and graph choice

In chemical engineering thermodynamics, accurate vapor-liquid equilibrium (VLE) data are indispensable for designing, simulating, and optimizing distillation columns, flash drums, and reactive separation units. Ideal solutions follow Raoult's law: P · y_i = x_i · P_i^sat, where total system pressure P and vapor mole fraction y_i are governed purely by liquid mole fraction x_i and pure-component saturation vapor pressure P_i^sat. However, real chemical mixtures—particularly polar, hydrogen-bonding mixtures such as ethanol and water—exhibit pronounced deviations from ideal solution behavior due to molecular size disparities and asymmetric intermolecular forces. These non-idealities are captured through liquid-phase activity coefficients γ_i: P · y_i · Φ_i = x_i · γ_i · P_i^sat · φ_i^sat · exp[V_i^L (P - P_i^sat) / (R T)], where Φ_i is the vapor fugacity coefficient and the exponential term is the Poynting correction factor. At atmospheric pressure (101.325 kPa), vapor-phase non-idealities and Poynting factors are negligible, reducing the equilibrium relation to the modified Raoult's law: P · y_i = x_i · γ_i · P_i^sat(T). The excess Gibbs free energy G^E represents the thermodynamic penalty or gain of mixing relative to an ideal solution: G^E / (R T) = Σ [x_i · ln(γ_i)]. Classical excess Gibbs energy models include the two-suffix Margules equation, the van Laar equation, and local composition formulations such as the Wilson, NRTL (Non-Random Two-Liquid), and UNIQUAC models. In the Margules formulation, the activity coefficient of the volatile solute is expressed as ln(γ_1) = A_12 · (1 - x_1)^2, which rearranges to the linear form ln(γ_1) / (1 - x_1) = A_12 · x_1. Furthermore, experimental VLE datasets must satisfy the Gibbs–Duhem thermodynamic consistency equation: Σ [x_i · d(ln γ_i)] = 0 at constant temperature and pressure. Area tests (such as the Redlich–Kister integral criterion) and point-to-point consistency tests verify whether measured equilibrium compositions are physically sound or distorted by experimental systematic errors. In this laboratory investigation, an all-glass recirculating Othmer VLE still is operated across ethanol liquid mole fractions from 0.10 to 0.60 at 101.325 kPa to determine equilibrium temperatures, vapor compositions, and the Margules interaction parameter A_12 = 0.7250.

ln(γ_1) / (1 - x_1) = A_12 · x_1 = 0.7250 · x_1

The governing phenomenological transport or equilibrium relationship was linearized into the coordinate form y = mx + b. Here, the independent coordinate x represents Liquid mole fraction x_1 (mol/mol), and the dependent coordinate y represents Margules factor ln(γ_1) / (1 - x_1). The gradient m directly determines Margules Binary Interaction Parameter A_12, while the intercept b accounts for baseline tare values or reference potentials. Linear transformation enables robust parameter estimation via ordinary least squares without non-linear numerical divergence. Plotting transformed observation pairs displays process discharge coefficients, heat transfer multipliers, mass transfer rates, or kinetic rate constants directly as linear slopes.

5. Method

  1. Calibrate the digital Abbe refractometer with HPLC-grade deionized water (n_D = 1.3330 at 20.0 °C) and pure absolute ethanol (n_D = 1.3614); verify calibration curve.
  2. Charge the boiling vessel with 250 mL of prepared binary ethanol-water solution at x_1 = 0.10; start recirculating condenser coolant at 10.0 °C.
  3. Apply 85 W heating via the Variac until gentle, continuous boiling is established; operate in total recirculation mode for 45 minutes until equilibrium boiling temperature stabilizes within ±0.02 °C.
  4. Simultaneously withdraw 0.5 mL samples of equilibrium liquid and condensed vapor using pre-chilled microsyringes; measure refractive indices at 20.0 °C to find x_1 and y_1.
  5. Increment liquid mole fraction x_1 through 0.20, 0.30, 0.40, 0.50, and 0.60 by injecting calculated aliquots of absolute ethanol, repeating equilibrium logging at each step.
  6. Calculate saturation vapor pressures P_i^sat via Antoine equations, determine activity coefficients γ_1 and γ_2, evaluate ln(γ_1) / (1 - x_1), and perform linear regression to determine A_12.

6. Observations and calculation table

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

Table 1. Six simulated observations; x and y represent transformed process metrics.
No.Liquid Phase Ethanol Mole Fraction x_1 (mol/mol)Margules Activity Factor ln(γ_1) / (1 - x_1) (dimensionless)Liquid mole fraction x_1 (mol/mol)Margules factor ln(γ_1) / (1 - x_1)Fitted yResidual
10.10.07250.10000.07250.07250.0000
20.20.1450.20000.14500.14500.0000
30.30.21750.30000.21750.21750.0000
40.40.290.40000.29000.29000.0000
50.50.36250.50000.36250.36250.0000
60.60.4350.60000.43500.43500.0000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

For input Liquid Mole Fraction x_1 = 0.1 mol/mol: Measured Margules Activity Factor ln(γ_1) / (1 - x_1) = 0.0725 dimensionless. Transformed process coordinates: independent x = 0.1000, dependent y = 0.0725.

8. Graph, gradient and final calculation

0.020.040.140.190.250.350.370.500.490.66Liquid mole fraction x_1 (mol/mol)Margules factor ln(γ_1) / (1 - x_1)

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

x̄ = 0.3500; ȳ = 0.2537
Σ(x − x̄)² = 0.1750
Σ(x − x̄)(y − ȳ) = 0.1269
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 0.72500000
b = ȳ − mx̄ = -5.551e-17
y = 0.7250 · x + -5.551e-17 ⟹ Target Margules Binary Interaction Parameter A_12 = 0.7250 dimensionless (theoretical = 0.7250)

9. Uncertainty and comparison

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

For n = 6 observations, Σresidual² = 1.849e-32; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 1.625e-16. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 6.329e-17.

Propagating the fit parameters yields a fit standard error of 1.625e-16 dimensionless, with an ideal coefficient of determination R² = 1.000000.

In chemical and process engineering experimentation, unit operations verification, and pilot-scale process modeling, empirical uncertainties arise from fluid property variations, slight thermal gradients across heat transfer boundaries, transducer electronic drift (64-bit IEEE 754 precision digital acquisition), and minor flow turbulence eddies. The ordinary least-squares regression across n = 6 standardized test intervals yields unbiased minimum-variance estimators for both slope and intercept. Because the underlying transport phenomena—including Navier-Stokes momentum balances, Fourier conduction, Fickian mass diffusion, and reaction kinetics—adhere strictly to macroscopic conservation laws, residual dispersions remain tightly bounded, yielding an ideal coefficient of determination R² ≥ 0.999999 and confirming the theoretical formulation. Systematic errors (such as sensor zero offsets, thermocouple reference junction drifts, and flowmeter discharge friction) are eliminated using certified calibration standards and differential tare subtraction. Uncertainties in derived transport coefficients, dimensionless numbers, and kinetic constants are evaluated via multivariate error propagation.

10. Result and discussion

Margules Binary Interaction Parameter A_12 = 0.7250 dimensionless
Theoretical reference value: 0.7250 dimensionless

The empirical laboratory observations provide rigorous quantitative verification of Vapor-Liquid Equilibrium (VLE) & Thermodynamic Consistency via Wilson & Margules Activity Models. In chemical engineering transport phenomena, fluid mechanics, heat transfer, separation processes, and reaction engineering, physical systems are governed by macroscopic mass, momentum, and energy conservation equations. Across all six observation trials, the empirical slope m = 0.7250 confirms the theoretical model with near-zero residual variance. Furthermore, comparison with established chemical engineering literature benchmarks (McCabe, Smith, Harriott; Bird, Stewart, Lightfoot; Fogler; and Levenspiel) underscores vital industrial scale-up principles including continuous steady-state stability, minimal friction losses, optimal reaction conversion, and thermal efficiency. Residual analysis confirms homoscedastic dispersion without systematic non-linear curvature, validating the underlying model assumptions.

11. Precautions and limitations

The transport and thermodynamic models apply within the specified calibrated operating window (0.1 to 0.6 mol/mol). Evaluated using an all-glass Othmer recirculating VLE equilibrium still with platinum RTD temperature sensing (±0.02 °C) and Abbe refractometric composition analysis (±0.0002 n_D). Pure component Antoine parameters: Ethanol (A=16.8958, B=3795.17, C=230.918), Water (A=16.3872, B=3885.70, C=230.170).

12. Conclusion

This laboratory investigation quantitatively verified the mathematical formulation and physical behavior of Vapor-Liquid Equilibrium (VLE) & Thermodynamic Consistency via Wilson & Margules Activity Models. Through rigorous tracking across six observation points, we confirmed an empirical Margules Binary Interaction Parameter A_12 of 0.7250 dimensionless matching the theoretical reference 0.7250 dimensionless within 0.0000% error. The investigation demonstrates why this chemical engineering method serves as an indispensable cornerstone in industrial process design, unit operations scaling, and plant optimization.

In-Depth Technical Supplement & Historical Unit Operations Derivation

1. Objective & Practical Significance

This experiment investigates vapor-liquid equilibrium (VLE) in a binary ethanol (1) + water (2) system at atmospheric pressure ($101.325\text{ kPa}$) using an all-glass recirculating Othmer equilibrium still. By measuring equilibrium boiling temperatures and vapor/liquid mole fractions across $x_1 = 0.10$ to $0.60$ via precision Abbe refractometry, we calculate liquid-phase activity coefficients $\gamma_1$ and $\gamma_2$, test thermodynamic consistency, and determine the binary Margules interaction parameter $A_{12} = 0.7250$.

2. Governing Transport Equations & Phenomenological Relations

Phase equilibrium under modified Raoult's law dictates:

\[ y_1 P = x_1 \gamma_1 P_1^{sat}(T), \quad y_2 P = x_2 \gamma_2 P_2^{sat}(T) \]

The two-suffix Margules excess Gibbs energy model provides:

\[ \ln \gamma_1 = A_{12} \cdot (1 - x_1)^2 \implies \frac{\ln \gamma_1}{1 - x_1} = S \cdot x_1 = 0.7250 \cdot x_1 \]

where $S = A_{12} = 0.7250\text{ dimensionless}$.

3. Experimental Apparatus & Instrumentation Specification

The apparatus consists of an all-glass Othmer recirculating VLE still with vacuum-jacketed boiling chamber ($250\text{ mL}$), a precision 4-wire Pt100 RTD sensor ($\pm 0.01^\circ\text{C}$), a digital Abbe refractometer (ATAGO NAR-1T, $\pm 0.0002\, n_D$), a constant-temperature recirculating bath ($10.0^\circ\text{C}$), and an electronic digital barometer ($\pm 0.01\text{ kPa}$).

4. Standard Operating Procedure & Measurement Protocols

The refractometer was calibrated at $20.0^\circ\text{C}$ using deionized water ($n_D = 1.3330$) and pure ethanol ($n_D = 1.3614$). The still was charged with $200\text{ mL}$ of mixture at $x_1 = 0.10$. Heating was applied until steady total recirculation boiling was maintained. After 45 minutes of thermal equilibrium ($\Delta T < 0.02^\circ\text{C}$ over 15 min), liquid and condensed vapor samples were withdrawn and analyzed. The mixture was stepped through $x_1 = 0.20, 0.30, 0.40, 0.50,$ and $0.60$.

5. Safety Analysis, Hazard Mitigation & Personal Protection

Ethanol vapors are flammable. Condenser cooling was interlocked with mantle power to prevent vapor release. Sampling was performed with pre-chilled airtight syringes in a well-ventilated fume hood. Chemical splash goggles, neoprene gloves, and flame-retardant lab coats were worn.

6. Raw Experimental Observations & Systematic Data Records

Simulated demonstration data. The following equilibrium observations were recorded at $P = 101.325\text{ kPa}$:

RunLiquid $x_1$ (mol/mol)Vapor $y_1$ (mol/mol)Boiling $T$ (°C)$P_1^{sat}$ (kPa)Activity $\gamma_1$Margules Factor $\frac{\ln \gamma_1}{1 - x_1}$
10.100.528492.65184.22.90560.0725
20.200.656286.82145.82.28180.1450
30.300.712283.74128.51.87270.2175
40.400.746182.05119.81.57720.2900
50.500.772580.95114.41.36680.3625
60.600.798480.12110.61.22140.4350

7. Quantitative Mathematical Analysis & Regression Models

Linear regression of the Margules factor $\frac{\ln \gamma_1}{1 - x_1}$ versus liquid mole fraction $x_1$ yields:

\[ \frac{\ln \gamma_1}{1 - x_1} = 0.72500 \cdot x_1 + 0.00000 \]

with coefficient of determination $R^2 = 1.000000$ and zero intercept. The experimental slope $S = 0.72500$ exactly matches the target Margules interaction parameter $A_{12} = 0.7250$ with $0.00\%$ deviation.

8. Rigorous Error Analysis & Uncertainty Propagation

Refractometer index uncertainty is $\pm 0.0002$ ($u(x) = \pm 0.0012$), temperature sensor uncertainty is $\pm 0.01^\circ\text{C}$ ($u(P_1^{sat}) = \pm 0.12\text{ kPa}$), and pressure uncertainty is $\pm 0.01\text{ kPa}$. Propagating through the activity coefficient gives an overall uncertainty in $A_{12}$ of $\pm 0.0085$, reporting $A_{12} = 0.7250 \pm 0.0085$.

9. Engineering Discussion & Phenomenological Interpretation

The positive Margules parameter ($A_{12} = 0.7250 > 0$) confirms positive deviations from Raoult's law ($\gamma_1 > 1.0$), reflecting endothermic mixing and disruption of strong water-water hydrogen-bonding networks upon ethanol addition. At low ethanol concentrations ($x_1 = 0.10$), the activity coefficient reaches $\gamma_1 = 2.91$, resulting in sharp vapor enrichment ($y_1 = 0.53$). As composition approaches the binary azeotrope ($x_1 \approx 0.89$), $\gamma_1$ asymptotically approaches $1.00$.

10. Industrial Scale-Up & Unit Operation Applications

VLE models and interaction parameters are fundamental for designing industrial bioethanol dehydration columns, pressure-swing distillation trains, extractive distillation using ethylene glycol, and molecular sieve adsorption units.

11. Self-Assessment Conceptual Questions & Model Answers

Q1: Why does ethanol-water form an azeotrope while benzene-toluene does not?
A1: Ethanol and water have highly asymmetric polar and hydrogen-bonding forces, generating strong positive deviations from ideality that elevate vapor pressure until the VLE curves touch ($y=x$); benzene and toluene are similar nonpolar aromatics that form nearly ideal solutions.

Q2: How can the Redlich–Kister area test verify whether this experimental data set is thermodynamically consistent?
A2: By plotting $\ln(\gamma_1 / \gamma_2)$ against $x_1$ from 0 to 1, the integral must evaluate to zero within experimental tolerance ($\le 2\%$), proving consistency with the Gibbs–Duhem relation.

12. Concluding Summary & Verified Engineering Metric

The Othmer VLE still successfully demonstrated non-ideal vapor-liquid equilibrium for ethanol-water at $101.325\text{ kPa}$. The experimental data confirmed modified Raoult's law and yielded the binary Margules parameter $A_{12} = 0.7250$, fully validating thermodynamic consistency.