🇮🇳 GATE Chemical Engineering · subject
GATE Chemical Engineering Mass Transfer Syllabus
Every chapter and topic of Mass Transfer examined in GATE Chemical Engineering — 7 chapters, 22 topics, plus 54 flashcards written against it.
Mass Transfer syllabus — full chapter and topic list
Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Mass Transfer in GATE Chemical Engineering, not a summary of it.
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Fick’s laws, Molecular Diffusion, and Mass Transfer Coefficients
3 topics- Fick’s Laws
- Molecular Diffusion in Fluids
- Mass Transfer Coefficients
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Mass Transfer Theories
3 topics- Film Theory
- Penetration Theory
- Surface Renewal Theory
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Analogies in Momentum, Heat, and Mass Transfer
1 topic- Analogies
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Stage-wise and Continuous Contacting
1 topic- Stage Efficiencies
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HTU & NTU Concepts
2 topics- HTU Concept
- NTU Concept
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Design and Operation of Equipment
8 topics- Distillation
- Absorption
- Leaching
- Liquid-Liquid Extraction
- Drying
- Humidification
- Dehumidification
- Adsorption
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Membrane Separations
4 topics- Micro-filtration
- Ultra-filtration
- Nano-filtration
- Reverse Osmosis
Mass Transfer flashcards for GATE Chemical Engineering
19 of 54 cards from the Mass Transfer deck — real questions with worked answers.
State Fick's first law of diffusion for a binary mixture (molar flux relative to molar-average velocity).
Fick's first law: $J_A = -D_{AB}\,\dfrac{dC_A}{dz}$, where $J_A$ is the diffusive molar flux of A, $D_{AB}$ is the diffusivity, and $\dfrac{dC_A}{dz}$ is the concentration gradient. The negative sign shows diffusion proceeds from high to low concentration.
What is Fick's second law of diffusion (unsteady-state, constant $D_{AB}$)?
$$\frac{\partial C_A}{\partial t} = D_{AB}\,\frac{\partial^{2} C_A}{\partial z^{2}}$$ It describes how concentration varies with time and position during transient diffusion.
Write the total molar flux $N_A$ in terms of diffusion and bulk (convective) contributions for binary diffusion.
$$N_A = -C\,D_{AB}\frac{dx_A}{dz} + x_A\,(N_A + N_B)$$ The first term is molecular diffusion; the second is the bulk-flow (convective) contribution.
Give the flux equation for steady-state diffusion of A through stagnant non-diffusing B (e.g. evaporation).
$$N_A = \frac{D_{AB}\,P}{R T\, z\, p_{B,lm}}\,(p_{A1}-p_{A2})$$ where $p_{B,lm}$ is the log-mean of the partial pressures of B. Here $N_B = 0$.
Define the log-mean partial pressure $p_{B,lm}$ used in diffusion of A through stagnant B.
$$p_{B,lm} = \frac{p_{B2}-p_{B1}}{\ln\!\left(\dfrac{p_{B2}}{p_{B1}}\right)}$$ It accounts for the variation of B's partial pressure across the diffusion path.
What is the flux relation for equimolar counter-diffusion (EMCD), and how does it compare to diffusion through stagnant B?
For EMCD, $N_A = -N_B$, so the bulk term vanishes: $$N_A = \frac{D_{AB}}{R T\,z}(p_{A1}-p_{A2})$$ EMCD has no $p_{B,lm}$ factor, so the flux is lower than diffusion through stagnant B (where $p_{B,lm}<P$ enhances flux).
How does the gas-phase diffusivity $D_{AB}$ depend on temperature and pressure (Chapman–Enskog scaling)?
$D_{AB} \propto \dfrac{T^{3/2}}{P}$. Diffusivity increases with temperature and decreases with total pressure for gases.
Compare typical magnitudes of diffusivity in gases, liquids, and solids.
Gases: $D \sim 10^{-5}\ \text{m}^2/\text{s}$; liquids: $D \sim 10^{-9}\ \text{m}^2/\text{s}$; solids: $D \sim 10^{-12}\ \text{m}^2/\text{s}$ or smaller. Diffusion is fastest in gases and slowest in solids.
How does liquid diffusivity vary with temperature and viscosity (Stokes–Einstein relation)?
$$D_{AB} = \frac{k_B T}{6\pi\mu r_A}$$ so $\dfrac{D_{AB}\,\mu}{T} \approx \text{constant}$. Liquid diffusivity increases with temperature and decreases with solvent viscosity.
Define the convective mass transfer coefficient $k_c$ (or $k_y$, $k_x$).
It is the proportionality constant between flux and a concentration (or mole-fraction) driving force: $N_A = k_c\,(C_{A,s}-C_{A,\infty})$, or $N_A = k_y\,(y_{A,i}-y_A)$ for gases and $N_A = k_x\,(x_A - x_{A,i})$ for liquids.
What is the relationship between the individual gas-phase coefficient $k_y$ and the overall gas-phase coefficient $K_y$?
$$\frac{1}{K_y} = \frac{1}{k_y} + \frac{m}{k_x}$$ where $m$ is the slope of the equilibrium line. It represents addition of gas-film and liquid-film resistances in series.
For the overall liquid-phase coefficient $K_x$, write the resistance-in-series relation.
$$\frac{1}{K_x} = \frac{1}{k_x} + \frac{1}{m\,k_y}$$ where $m$ is the equilibrium-line slope.
What does it mean for a system to be 'gas-film controlled' vs 'liquid-film controlled'?
Gas-film controlled: gas-phase resistance dominates ($1/k_y \gg m/k_x$), typical for very soluble gases (small $m$), so $K_y \approx k_y$. Liquid-film controlled: liquid resistance dominates, typical for sparingly soluble gases (large $m$), so $K_x \approx k_x$.
State the central assumption and key result of the Film (Two-Film / Whitman) theory.
It assumes a stagnant film of thickness $\delta$ next to the interface across which all resistance lies, with steady molecular diffusion through it. Result: $k_c = \dfrac{D_{AB}}{\delta}$, so $k_c \propto D_{AB}^{1}$.
According to Film theory, how does the mass transfer coefficient depend on diffusivity?
$k_c \propto D_{AB}^{1}$ (first power), since $k_c = D_{AB}/\delta$.
State the key idea and result of Higbie's Penetration theory.
Each fluid element is exposed to the interface for a fixed contact (exposure) time $t_c$ during which unsteady diffusion occurs. Result: $$k_c = 2\sqrt{\frac{D_{AB}}{\pi t_c}}\quad\Rightarrow\quad k_c \propto D_{AB}^{1/2}$$
State the key assumption and result of Danckwerts' Surface Renewal theory.
Fluid elements at the surface are randomly replaced by fresh fluid at a constant fractional renewal rate $s$ (not a fixed exposure time). Result: $$k_c = \sqrt{D_{AB}\,s}\quad\Rightarrow\quad k_c \propto D_{AB}^{1/2}$$
Contrast the dependence of $k_c$ on diffusivity predicted by Film, Penetration, and Surface Renewal theories.
Film theory: $k_c \propto D_{AB}^{1}$. Penetration and Surface Renewal theories: $k_c \propto D_{AB}^{1/2}$. Experiments usually give an exponent between $0.5$ and $1$ (often $\sim 0.5$–$0.7$).
State the Reynolds analogy and its key assumption.
Reynolds analogy relates momentum, heat, and mass transfer: $$\frac{f}{2} = St_H = St_M$$ where $St_M = \dfrac{k_c}{u}$. It assumes $Pr = Sc = 1$ (all diffusivities equal).
Planning Mass Transfer for GATE Chemical Engineering
Mass Transfer is about 15% of the GATE Chemical Engineering syllabus by topic count — 22 of 148 topics, spread over 7 chapters. At roughly 45 minutes per topic plus 12 minutes per sub-topic, a first pass runs to about 15 hours.
The heaviest chapters are Design and Operation of Equipment (8 topics), Membrane Separations (4 topics), Fick’s laws, Molecular Diffusion, and Mass Transfer Coefficients (3 topics) . Front-load those while your energy is high; the short chapters are better revision filler later.
Work top-down: read the chapter, then tick topics off individually rather than marking the whole chapter done. Sub-topics are where silent gaps hide.
Mass Transfer (GATE Chemical Engineering) FAQ
What is in the GATE Chemical Engineering Mass Transfer syllabus?
Mass Transfer is split into 7 chapters — Fick’s laws, Molecular Diffusion, and Mass Transfer Coefficients, Mass Transfer Theories, Analogies in Momentum, Heat, and Mass Transfer, Stage-wise and Continuous Contacting, HTU & NTU Concepts and Design and Operation of Equipment, and 1 more, containing 22 topics and 0 sub-topics in total.
How many chapters are there in Mass Transfer for GATE Chemical Engineering?
7 chapters. Mass Transfer accounts for about 15% of the topics in the whole GATE Chemical Engineering syllabus (22 of 148).
How long should I spend on Mass Transfer for GATE Chemical Engineering?
Budget around 15 hours for a first pass through Mass Transfer — about 45 minutes per topic plus 12 minutes per sub-topic across its 22 topics. Add revision cycles on top.
Are there flashcards for GATE Chemical Engineering Mass Transfer?
Yes — a 54-card Mass Transfer deck. Sample cards are printed on this page, and the full deck is free in the Examius app with spaced repetition scheduling.