Chemical & Process Engineering / Heterogeneous Catalysis & Thiele Modulus
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LABORATORY 29 · CHEMICAL & PROCESS ENGINEERING

Heterogeneous Catalysis & Thiele Modulus lab report

A worked heterogeneous catalysis & thiele modulus 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

Heterogeneous Catalytic Fixed-Bed Kinetics & Thiele Modulus Internal Diffusion. Measure the reaction conversion of a gas-phase reactant over porous cylindrical catalyst pellets in a packed-bed microreactor across varying pellet diameters d_p, evaluate the internal effectiveness factor η, and determine the diffusion-limitation slope S relating 1/η to d_p.

2. Abstract

Six controlled chemical process engineering observations were systematically evaluated across operational settings Pellet Dia d_p = 1.0 mm to Pellet Dia d_p = 6.0 mm for Heterogeneous Catalytic Fixed-Bed Kinetics & Thiele Modulus Internal Diffusion. Ordinary least-squares regression yielded an empirical Thiele Diffusion Limitation Slope S of 0.3500 mm^-1 (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

Heterogeneous solid-catalyzed reactions represent the backbone of the chemical and petrochemical industries, accounting for more than 80% of all chemical manufacturing processes (including ammonia synthesis, catalytic reforming, Fischer–Tropsch fuels, and automotive emissions catalytic converters). In heterogeneous catalysis, porous catalyst pellets provide enormous internal active surface area (100 to 500 m^2/g) inside an intricate network of microscopic pores. A gaseous reactant molecule must undergo five sequential transport and chemical steps: (1) external convective mass transfer across the fluid boundary layer to the external pellet surface, (2) internal Knudsen and molecular diffusion through fluid-filled pores to interior catalytic sites, (3) chemisorption onto active metal sites, (4) intrinsic surface chemical reaction, and (5) desorption and back-diffusion of products. When internal pore diffusion is slower than intrinsic surface kinetics, a steep reactant concentration gradient develops inside the pellet: reactant molecules are consumed before they can penetrate into the deep pellet core, leaving interior catalyst unutilized. Ernest W. Thiele (1939) formulated the celebrated Thiele modulus: φ = L_p · sqrt(k_v / D_eff), where L_p = R_p / 3 is the characteristic diffusion length, k_v is the intrinsic volumetric reaction rate constant, and D_eff is effective pore diffusivity. The ratio of actual overall reaction rate to the ideal rate that would occur if the entire pellet interior were exposed to surface concentration C_s is termed the internal effectiveness factor: η = tanh(φ) / φ. Under strong pore diffusion limitations (φ > 3), the effectiveness factor scales inversely with pellet diameter: η ≈ 1 / φ ∝ 1 / d_p, meaning reciprocal effectiveness scales linearly with pellet diameter: 1 / η = S · d_p + 1.0. In this laboratory investigation, an isothermal packed-bed microreactor is tested with catalyst pellets of diameters d_p from 1.0 to 6.0 mm to measure 1/η vs d_p, verify Thiele pore diffusion theory, and determine the diffusion limitation slope S = 0.3500 mm^-1.

1 / η = S · d_p + 1.0000 = 0.3500 · d_p + 1.0000

The governing phenomenological transport or equilibrium relationship was linearized into the coordinate form y = mx + b. Here, the independent coordinate x represents Catalyst pellet diameter d_p (mm), and the dependent coordinate y represents Reciprocal internal effectiveness factor 1 / η. The gradient m directly determines Thiele Diffusion Limitation Slope S, 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. Heat microreactor furnace to 200.0 °C under helium purge; allow 30 minutes for temperature controllers to stabilize to within ±0.1 °C.
  2. Pack 2.00 g of 1.0 mm catalyst pellets into the reactor tube between quartz wool plugs; verify bed depth and zero bypass channeling.
  3. Introduce reactant feed at space velocity WHSV = 2.0 h^-1; allow 20 minutes to reach chemical steady state and log effluent conversion via GC-FID.
  4. Establish the intrinsic rate from the finest 1.0 mm pellets (minimal diffusion resistance, η ≈ 0.74) to normalize observed rates into effectiveness factor η.
  5. Repeat tests under identical temperature and space velocity using catalyst batches of d_p = 2.0, 3.0, 4.0, 5.0, and 6.0 mm, logging conversion at each plateau.
  6. Calculate internal effectiveness factor η for each pellet size, plot 1/η versus pellet diameter d_p, and fit a linear regression to determine slope S.

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.Catalyst Pellet Diameter d_p (mm)Reciprocal Effectiveness 1/η (ratio)Catalyst pellet diameter d_p (mm)Reciprocal internal effectiveness factor 1 / ηFitted yResidual
11.01.351.00001.35001.35000.0000
22.01.72.00001.70001.7000-0.0000
33.02.053.00002.05002.05000.0000
44.02.44.00002.40002.4000-0.0000
55.02.755.00002.75002.75000.0000
66.03.16.00003.10003.10000.0000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

For input Pellet Dia d_p = 1.0 mm: Measured Reciprocal Effectiveness 1/η = 1.3500 ratio. Transformed process coordinates: independent x = 1.0000, dependent y = 1.3500.

8. Graph, gradient and final calculation

1.090.401.661.952.233.502.795.053.366.60Catalyst pellet diameter d_p (mm)Reciprocal internal effectiveness factor 1 / η

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

x̄ = 3.5000; ȳ = 2.2250
Σ(x − x̄)² = 17.5000
Σ(x − x̄)(y − ȳ) = 6.1250
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 0.35000000
b = ȳ − mx̄ = 1.00000000
y = 0.3500 · x + 1.0000 ⟹ Target Thiele Diffusion Limitation Slope S = 0.3500 mm^-1 (theoretical = 0.3500)

9. Uncertainty and comparison

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

For n = 6 observations, Σresidual² = 4.437e-31; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 7.962e-17. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 3.101e-16.

Propagating the fit parameters yields a fit standard error of 7.962e-17 mm^-1, 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

Thiele Diffusion Limitation Slope S = 0.3500 mm^-1
Theoretical reference value: 0.3500 mm^-1

The empirical laboratory observations provide rigorous quantitative verification of Heterogeneous Catalytic Fixed-Bed Kinetics & Thiele Modulus Internal Diffusion. 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 = 0.3500 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 (1.0 to 6.0 mm). Evaluated using porous alumina-supported platinum pellets (d_p = 1.0 to 6.0 mm, pore diameter 8 nm, D_eff = 2.4e-6 m^2/s) catalyzing hydrocarbon isomerization in an isothermal microreactor at 200.0 °C. Linear regression models 1/η versus d_p to extract slope S = 0.3500 mm^-1.

12. Conclusion

This laboratory investigation quantitatively verified the mathematical formulation and physical behavior of Heterogeneous Catalytic Fixed-Bed Kinetics & Thiele Modulus Internal Diffusion. Through rigorous tracking across six observation points, we confirmed an empirical Thiele Diffusion Limitation Slope S of 0.3500 mm^-1 matching the theoretical reference 0.3500 mm^-1 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 laboratory investigation determines the internal pore diffusion limitations and Thiele modulus for hydrocarbon isomerization over porous $\text{Pt}/\text{Al}_2\text{O}_3$ catalyst pellets in an isothermal packed-bed microreactor at $200.0^\circ\text{C}$ and $1.0\text{ atm}$. Across catalyst pellet diameters $d_p$ from $1.0$ to $6.0\text{ mm}$ at constant space velocity ($ ext{WHSV} = 2.0\text{ h}^{-1}$), we measure reaction conversion, evaluate the internal effectiveness factor $\eta$, verify the linear model $1 / \eta = S \cdot d_p + 1.0$, and determine the diffusion limitation slope $S = 0.3500\text{ mm}^{-1}$.

2. Governing Transport Equations & Phenomenological Relations

In the diffusion-limited regime, reciprocal effectiveness scales linearly with pellet diameter:

\[ \frac{1}{\eta} = S \cdot d_p + 1.0000 = \left( \frac{1}{6} \sqrt{\frac{k_v}{D_{eff}}} \right) d_p + 1.0000 \]

where $S = 0.3500\text{ mm}^{-1}$ is the experimental Thiele slope. The internal effectiveness factor is $\eta = \frac{1}{S \cdot d_p + 1.0}$.

3. Experimental Apparatus & Instrumentation Specification

The microreactor consists of an isothermal quartz tube ($D = 12.7\text{ mm}$) centered in a three-zone electric furnace ($200.0 \pm 0.2^\circ\text{C}$). Six batches of cylindrical $\text{Pt}/\text{Al}_2\text{O}_3$ pellets ($d_p = 1.0, 2.0, 3.0, 4.0, 5.0, 6.0\text{ mm}$, pore volume $0.45\text{ cm}^3/\text{g}$, surface area $210\text{ m}^2/\text{g}$, $D_{eff} = 2.4 \times 10^{-6}\text{ m}^2/\text{s}$) were tested. Effluent composition was quantified using an online Agilent 7890B GC-FID.

4. Standard Operating Procedure & Measurement Protocols

The microreactor was brought to $200.0^\circ\text{C}$ under helium flow. Catalyst pellets ($2.00\text{ g}$, $d_p = 1.0\text{ mm}$) were packed into the isothermal zone. Reactant feed ($5.0\text{ mol}\%$ reactant in helium) was introduced at $ ext{WHSV} = 2.0\text{ h}^{-1}$. After 20 minutes of steady state, GC-FID effluent conversion was logged. The test was repeated under identical space velocity using pellets of $d_p = 2.0, 3.0, 4.0, 5.0,$ and $6.0\text{ mm}$.

5. Safety Analysis, Hazard Mitigation & Personal Protection

Hydrogen and hydrocarbon carrier gases are flammable. Gas feeds were interlocked with automatic shutoff valves. GC exhaust was vented to a certified fume hood. Thermal gloves and safety glasses were worn.

6. Raw Experimental Observations & Systematic Data Records

Simulated demonstration data. The following measurements were recorded at $T = 200.0^\circ\text{C}$ and $P = 1.013\text{ bar}$ ($ ext{WHSV} = 2.0\text{ h}^{-1}$):

RunPellet Diameter $d_p$ (mm)Conversion $X$ (%)Observed Rate $r_{obs}$ (mmol/(g·h))Effectiveness $\eta$Reciprocal $1/\eta$Thiele Modulus $\phi$
11.064.221.400.74071.3501.25
22.051.017.000.58821.7002.50
33.042.214.070.48782.0503.75
44.036.112.030.41672.4005.00
55.031.510.500.36362.7506.25
66.027.99.300.32263.1007.50

7. Quantitative Mathematical Analysis & Regression Models

Linear regression of reciprocal effectiveness factor $1 / \eta$ versus pellet diameter $d_p$ yields:

\[ \frac{1}{\eta} = 0.35000 \cdot d_p + 1.00000 \]

with coefficient of determination $R^2 = 0.999999$. The experimental slope $S = 0.35000\text{ mm}^{-1}$ matches the target calibration benchmark ($0.3500$) with $0.00\%$ deviation. As pellet diameter expanded from $1.0\text{ mm}$ to $6.0\text{ mm}$, the effectiveness factor dropped from $0.741$ to $0.323$, demonstrating that $> 67\%$ of the internal catalyst in $6\text{ mm}$ pellets was starved of reactant.

8. Rigorous Error Analysis & Uncertainty Propagation

GC-FID peak area uncertainty is $\pm 0.2\%$, and pellet micrometer diameter tolerance is $\pm 0.05\text{ mm}$. Propagating into $1/\eta$ yields an experimental uncertainty of $\pm 1.2\%$, reporting $S = 0.3500 \pm 0.0042\text{ mm}^{-1}$.

9. Engineering Discussion & Phenomenological Interpretation

The severe decline in conversion with larger pellets illustrates Thiele pore diffusion starvation. For $6.0\text{ mm}$ pellets ($\phi = 7.50$), reactant molecules react in the outer $0.5\text{ mm}$ rim before they can penetrate deeper, rendering the central core completely inactive. In commercial fixed beds, selecting $1.5\text{ to } 2.5\text{ mm}$ trilobe extrudates provides an optimal compromise between high effectiveness ($\eta > 0.6$) and manageable bed pressure drop.

10. Industrial Scale-Up & Unit Operation Applications

Thiele modulus analysis governs the formulation of catalysts for steam methane reforming, hydrodesulfurization (HDS), and ammonia synthesis. Shaped extrudates (quadrulobes, hollow rings) are engineered to maximize geometric surface-area-to-volume ratio ($S_v$) while keeping diffusion path length $L_p$ short.

11. Self-Assessment Conceptual Questions & Model Answers

Q1: Why does crushing a catalyst pellet increase its observed reaction rate in diffusion-limited regimes?
A1: Crushing decreases the particle radius $R_p$, drastically lowering the diffusion path length and Thiele modulus; this allows reactants to access previously unreached internal active sites, increasing the effectiveness factor $\eta$ toward $1.0$.

Q2: How does the Weisz–Prater criterion confirm the presence of pore diffusion limitations?
A2: For $6.0\text{ mm}$ pellets, $C_{WP} = \eta \phi^2 = 0.3226 \times (7.5)^2 = 18.15 \gg 1$, rigorously proving severe intra-particle diffusion limitations without requiring prior knowledge of intrinsic rate constants.

12. Concluding Summary & Verified Engineering Metric

The fixed-bed catalytic microreactor experiment validated Thiele pore diffusion theory. The measured slope $S = 0.3500\text{ mm}^{-1}$ ($1/\eta = 0.3500 \cdot d_p + 1.0000$) demonstrated that internal effectiveness decreases inversely with pellet size, providing essential design metrics for industrial heterogeneous catalytic reactors.