Best Chemical Engineering Books for GATE Examination 2023

Best Chemical Engineering Books for GATE Examination 2023

The below table contains the list of the Best Books for the GATE 2023 Chemical Engineering exam preparations.

Author/ PublicationBook’s Name 

J. P. Holman

Heat Transfer

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B. K. Dutta

Principles of Mass Transfer & Separation Processes

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Fogler

Essentials of Chemical Reaction Engineering

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M. Subbu

An Insight into Chemical Engineering

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Heat Transfer (SIE)

Heat Transfer (SIE)Read More

  1. Jack Holman’s Heat Transfer is noted for its clarity, accessible approach, and inclusion of many examples and problem sets.
  2. Throughout the book, emphasis is placed on physical understanding while, at the same time, relying on meaningful experimental data in those situations that do not permit a simple analytical solution.

Principles of Mass Transfer and Separation Processes

Principles of Mass Transfer and Separation ProcessesRead More

  1. A large number of solved problems of varying levels of complexities showing the applications of the theory are included.
  2. Many end-chapter exercises, Chapter-wise multiple-choice questions & An instructor’s manual for the teachers.

Essentials of Chemical Reaction Engineering

Essentials of Chemical Reaction EngineeringRead More

  1. Teaches chemical reaction engineering through logic and “living example” problems.
  2. Complemented by online resources that support students of all learning styles — including expanded content, lecture notes, software tutorials, links to YouTube videos, PowerPoint slides, and more.

AN INSIGHT INTO CHEMICAL ENGINEERING

AN INSIGHT INTO CHEMICAL ENGINEERINGRead More

  1. Good for competitive exams to browse through the concepts and formulas.
  2. A good book to practice the previous year’s GATE’s chemical problem.

Check out the list of the best GATE examination books for different subjects here

GATE 2022: Chemical Engineering Syllabus for Examination

Linear Algebra: Matrix algebra, Systems of linear equations, Eigenvalues, and eigenvectors.

Calculus: Functions of a single variable, Limit, continuity, and differentiability, Taylor series, Mean value theorems, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface
and Volume integrals, Stokes, Gauss, and Green’s theorems.

Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial and boundary value problems, Laplace transforms, Solutions of one-dimensional heat and wave equations, and Laplace equation.

Complex variables: Complex number, polar form of the complex number, triangle inequality.

Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions, Linear regression analysis.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations. Integration by trapezoidal and Simpson’s rule. Single and multi-step methods for the numerical solution of differential equations.

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 statics, surface tension, Newtonian and non-Newtonian fluids, transport properties, shell balances including the differential form of Bernoulli equation and energy balance, equation of continuity, equation of motion, equation of mechanical energy, Macroscopic friction factors, dimensional analysis, and similitude, flow through pipeline systems, velocity profiles, 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.

Equation of energy, 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.

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, humidification, dehumidification and
adsorption, membrane separations(micro-filtration, ultra-filtration, nano-filtration, and reverse osmosis).

Theories of reaction rates; kinetics of homogeneous reactions, interpretation of kinetic data, single and multiple reactions in ideal reactors, the kinetics of enzyme reactions (Michaelis-Menten and Monod models), non-ideal reactors; residence time distribution, single parameter model; non-isothermal reactors; kinetics of heterogeneous catalytic reactions; diffusion effects in catalysis; rate and performance equations for catalyst deactivation.

Measurement of process variables; sensors and transducers; P&ID equipment symbols; process modeling and linearization, transfer functions, and dynamic responses of various systems, systems with the inverse response, process reaction curve, controller modes (P, PI, and PID); control valves; transducer dynamics; analysis of closed-loop systems including stability, frequency response, controller tuning, cascade, and feedforward control. 

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 equipment such as heat exchangers and multistage contactors.

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).

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