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GATE Syllabus - A Comprehensive List of GATE Chemical syllabus

We fill the gap between Aspiration & Reality of GATE

GATE Chemical Engineering syllabus 2020

Chemical Engineering uses Physics and Chemistry with applied Mathematics to convert chemicals and raw materials into useful substances. Chemical Engineers essentially design large-scale processes for such transformations. The GATE Chemical Engineering syllabus is essentially spread across nine sections. By referring to the GATE syllabus, the aspirants can understand and analyse which topics are likely to be present as questions in the examination. Total Mark will be 100. Candidate will get 3 hrs to complete paper. Out of 100 marks General Aptitude section will be of 15 marks and remaining 85 marks will come from GATE Chemical Engineering subjects. Before starting the preparation of GATE exam, candidates are advised to go through the GATE Chemical Engineering detailed syllabus. For candidates planning to appear for the GATE exam, the most recent GATE exam syllabus for Chemical Engineering is given below.

To learn more about our meticulously curated, result oriented, interactive modules on GATE Chemical Engineering crash course and GATE Chemical Engineering test series, visit

GATE Chemical Engineering Books

  • A Textbook of Chemical Engineering Thermodynamics - K. V. Narayanan.
  • An Introduction to Chemical Engineering Thermodynamics-J. M. Smith, H. C. Van Ness, M. M. Abbott
  • GATE Chemical Engineering Book by Ram Prasad
  • Engineering Mathematics by B S Grewal
  • Chemical Reaction Engineering- Fogler & Gurmen
  • Chemical Reaction Engineering- Octave Levenspiel
  • An Introduction To Theory And Practice- Stephanopoulos.
  • Process dynamics and control - Seborg, D.E., Edgar, T.F. and Mellichamp, D.A
  • Plant design and Economics- Peters M. S. and Timmerhaus K. D

Engineering Mathematics

Linear Algebra
  • Matrix algebra
  • Systems of linear equations
  • Eigen values and Eigen vectors
Ordinary Differential Equation ( ODE )
  • First order ( linear and non – linear ) equations
  • higher order linear equations with constant coefficients
  • Euler – Cauchy equations
  • Laplace transform and its application in solving linear ODEs
  • Initial and boundary value problems.
  • Functions of single variable
  • Limit, continuity and differentiability
  • Mean value theorems
  • local maxima and minima
  • Taylor and Maclaurin series
  • Evaluation of definite and indefinite integrals
  • application of definite integral to obtain area and volume
  • Partial derivatives
  • Total derivative
  • Gradient
  • Divergence and Curl, Vector identities
  • Directional derivatives
  • Line, Surface and Volume integrals
  • Stokes
  • Gauss and Green's theorems.
Partial Differential Equation ( PDE ) : Fourier series
  • separation of variables
  • solutions of onedimensional diffusion equation
  • first and second order one – dimensional wave equation and two-dimensional Laplace equation.
Probability and Statistics
  • Definitions of probability and sampling theorems
  • Conditional probability
  • Discrete Random variables
  • Poisson and Binomial distributions
  • Continuous random variables
  • normal and exponential distributions
  • Descriptive statistics – Mean, median, mode and standard deviation
  • Hypothesis testing.
Numerical Methods
  • Accuracy and precision
  • error analysis
  • Numerical solutions of linear and non – linear algebraic equations
  • Least square approximation
  • Newton's and Lagrange polynomials
  • numerical differentiation
  • Integration by trapezoidal and Simpson's rule
  • single and multi – step methods for first order differential equations.

Process Calculations and Thermodynamics

  • Steady and unsteady state mass and energy balances including multiphase
  • Multicomponent
  • reacting and non-reacting systems.
  • Use of tie components
  • Recycle
  • bypass and purge calculations
  • Gibb's phase rule and degree of freedom analysis.
  • First and Second laws of thermodynamics.
  • Applications of first law to close and open systems.
  • Second law and Entropy.
  • Thermodynamic properties of pure substances
  • Equation of State and residual properties
  • properties of mixtures
  • partial molar properties
  • fugacity,
  • Excess properties and activity coefficients
  • phase equilibria
  • predicting VLE of systems; chemical reaction equilibrium.

Fluid Mechanics and Mechanical Operations

  • Fluid statics
  • Newtonian and non – Newtonian fluids
  • Shell- balances including differential form of Bernoulli equation and energy balance,
  • Macroscopic friction factors
  • dimensional analysis and similitude
  • flow through pipeline systems
  • flow meters
  • pumps and compressors
  • elementary boundary layer theory
  • flow past immersed bodies including packed and fluidized beds
  • Turbulent flow
  • fluctuating velocity
  • universal velocity profile and pressure drop.
  • Particle size and shape, particle size distribution
  • size reduction and classification of solid particles
  • Free and hindered settling
  • centrifuge and cyclones
  • Thickening and classification
  • Filtration
  • agitation and mixing
  • conveying of solids.

Heat Transfer

  • Steady and unsteady heat conduction
  • convection and radiation
  • thermal boundary layer and heat transfer coefficients
  • boiling
  • condensation and evaporation
  • types of heat exchangers and evaporators and their process calculations.
  • Design of double pipe
  • shell and tube heat exchangers, and
  • single and multiple effect evaporators.

Mass Transfer

  • Fick's laws,
  • molecular diffusion in fluids
  • mass transfer coefficients
  • film
  • penetration and surface renewal theories
  • momentum
  • heat and mass transfer analogies
  • stage – wise and continuous contacting and stage efficiencies
  • HTU & NTU concepts
  • design and operation of equipment for distillation
  • Absorption
  • leaching, liquid – liquid extraction
  • drying
  • dehumidification
  • dehumidification and adsorption.

Chemical Reaction Engineering

  • Theories of reaction rates
  • kinetics of homogeneous reactions
  • interpretation of kinetic data
  • single and multiple reactions in ideal reactors
  • Non – ideal reactors
  • Residence time distribution
  • single parameter model
  • Non – isothermal reactors
  • kinetics of heterogeneous catalytic reactions
  • diffusion effects in catalysis.

Instrumentation and Process Control

  • Measurement of process variables
  • Sensors
  • transducers and their dynamics
  • process modeling and linearization
  • transfer functions and dynamic responses of various systems
  • systems with inverse response
  • process reaction curve
  • controller modes ( P, PI, and PID )
  • control valves
  • analysis of closed loop systems including stability, frequency response, controller tuning, cascade and feed forward control.

Plant Design and Economics

  • Principles of process economics and cost estimation including depreciation and total annualized cost
  • cost indices
  • rate of return
  • payback period
  • discounted cash flow
  • optimization in process design and sizing of chemical engineering equipments such as compressors, heat exchangers, multistage contactors.

Chemical Technology

  • Inorganic chemical industries (sulfuric acid, phosphoric acid, chlor – alkali industry)
  • fertilizers ( Ammonia, Urea, SSP and TSP )
  • natural products industries (Pulp and Paper, Sugar, Oil, and Fats )
  • petroleum refining and petrochemicals
  • polymerization industries (polyethylene, polypropylene, PVC and polyester synthetic fibers).