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GATE Syllabus for Chemical Engineering

Chemical Engineering

Heat Transfer: Boiling, condensation and evaporation, types of heat exchangers and evaporators and their design, conduction, radiation and convection, heat transfer coefficients, steady and unsteady heat conduction.

Chemical Reaction Engineering: Residence time distribution, non-isothermal reactors, single parameter model, kinetics of heterogeneous catalytic reactions, theories of reaction rates, diffusion effects in catalysis, kinetics of homogeneous reactions, single and multiple reactions in ideal reactors, interpretation of kinetic data, non-ideal reactors.

Chemical Technology: Polypropylene, polymerization industries, PVC and polyester synthetic fibers, inorganic chemical industries, NaOh, fertilizers (Urea, Ammonia, TSP and SSP) sulfuric acid, natural products industries (Pulp and paper, Sugar, Fats and Oil), petroleum refining and petrochemicals.

Instrumentation and Process Control: Analysis of closed loop systems including stability, control valves, cascade feed forward control, frequency response and controller tuning, controller modes (P, PI and PID), measurement of process variables, transfer functions and dynamic reposes of simple systems, process reaction curve, transducers and their dynamics, transfer functions and dynamic responses of simple systems.

Mass Transfer: Stage wise and continuous contacting and stage efficiencies, NTU and HTU concept design and operation of equipment for distillation, Flickís laws, dehumidification and adsorption, humidification, extraction, drying, molecular diffusion in fluids, film, mass transfer coefficients, penetration and surface renewal theories, liquid-liquid, leaching.

Fluid Mechanics and Mechanical Operations: Pumps and compressors, packed and fluidized beds, size reaction and size separation, elementary boundary layer theory, free and hindered setting, conveying of solids, centrifuge and cyclones, classification and thickening, mixing, filtration and agitation, Bernoulli equation, Fluid statics, Newtonian and non-Newtanian fluids, Macroscopic friction factors, dimensional analysis, energy balance, shell balance, flow through pipeline systems.

Process Calculations and Thermodynamics: First and second laws of thermodynamics, first law application to close and open systems, second law and entropy thermodynamics properties of pure substances, partial major properties, equation of state and departure function, properties of mixtures, fugacity, activity coefficients and excess properties chemical reaction equilibria, predicting VLE of systems, laws of conservation of energy and mass, degree of freedom recycle, bypass and pure calculations, use of tie components.

Plant Design and Economics: Principles of process economics and cost estimation including total annualized cost, rate of return, cost indexes, optimization in design, pay back period, discounted cash flow, process design and sizing of chemical engineering equipment like: compressors, multistage contractors and heat exchangers.

Engineering Mathematics

Statistics and probability: Sampling theorems and definitions of probability, binomial and normal distributions, poisson, random variables, mode and standard deviation, median, mean, conditional probability.

Differential equations: Laplace transforms, initial and boundary value problems, solutions of one dimensional heat and laplace equation and wave equations, first order equations ( non-liner and liner), Cauchyís and Eulerís equations, higher order liner differential equations with constant coefficients.

Numerical Methods: Single and multi-step methods for differential equations, numerical solutions of linear and non-linear algebraic equations integration by trapezoidal and Simpsonís rule.

Calculus: Total derivative, maxima and minima, divergence and curl, gradient, directional derivatives, vector dentities, surface, line and volume integrals, Gauss and Greenís theorems, functions of single variable, continuity, limit and differentiability, partial derivatives, evaluation of definite and improper integrals, Mean value theorems.

Liner Algebra: Eigen values and eigenvectors, Matrix algebra, systems of linear equations.

Complex variables: Taylor and Laurent series, analytic functions, Residue theorem, Cauchyís integral theorem.


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