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- Candidates applying for the GATE exam must have successfully completed a Bachelor's degree in Chemical Engineering or its equivalent from a recognized university or institute.
- There is no age limit to appear for the GATE exam.
Particular |
Details |
Exam Name |
GATE CH |
Exam Mode |
Computer-Based Exam (CBT) |
Language |
English |
Exam Duration |
180 Minutes (3 Hours) |
GATE CH Sectional Time Limit |
None |
GATE Total Marks |
100 |
Total Number of Questions |
65 |
GATE CH Number of Sections |
Three Sections: General Aptitude, Engineering Mathematics, and Chemical Engineering |
GATE CH CH Section-Wise Number of Questions |
General Aptitude: 10 Engineering Mathematics and Chemical Engineering: 55 |
GATE CH Sectional Weightage |
General Aptitude: 15 marks Engineering Mathematics: 13 marks Chemical Engineering: 72 marks |
GATE CH Marking Scheme |
1 or 2 Marks |
GATE CH Negative Marking Scheme |
For every incorrect 1-mark answer, 1/3 Marks Will be Deducted For every incorrect 2-marks answer, 2/3 Marks Will be Deducted Negative Marking is Not Applicable in MSQs and NATs |
Preparing for the GATE (Graduate Aptitude Test in Engineering) Chemical Engineering (CH) exam requires a strategic approach and a thorough understanding of the exam pattern and syllabus. Here are some tips to help you prepare effectively:
- Understand the Syllabus: Familiarize yourself with the GATE CH syllabus. It's crucial to know what topics are covered so you can prioritize your study accordingly.
- Create a Study Plan: Develop a structured study plan that covers all topics over a reasonable timeframe. Allocate more time to challenging subjects and less time to topics you are already comfortable with.
- Study Material: Gather good quality study material such as textbooks, reference books, and online resources.
- Previous Year Papers: Solve previous years' GATE CH papers to understand the exam pattern, types of questions asked, and time management.
- Mock Tests: Take mock tests regularly to assess your preparation level. Mock tests simulate the actual exam environment and help improve your speed and accuracy.
- Focus on Fundamentals: Ensure your basics are clear for each topic. GATE questions often test fundamental concepts, so a strong foundation is essential.
- Revision: Regular revision is key to retaining information. Plan periodic revisions of all subjects to reinforce your learning.
- Short Notes: Prepare concise notes while studying each topic. These notes will be handy during last-minute revisions.
- Seek Guidance: If possible, join a coaching institute or online courses specifically designed for GATE CH preparation. They often provide expert guidance and study material tailored for the exam.
- Revise Regularly: Plan regular revision sessions to consolidate what you have studied. Revision helps in retaining information and identifying areas that need more focus.
- Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.
- Calculus: Functions of 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 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 numerical solution of differential equations.
- Steady and unsteady state mass and energy balances including multiphase, multi-component, 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.
- 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, 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 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 feed forward control.
- 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).

Sabeer Hussain

Harikrishnan U Kartha
