GATE 2018 Syllabus for Mechanical Engineering – ME and we also provide details about the topics which you have to studied by the aspirants for GATE Mechanical Engineering – ME exams. Candidates may note that the Syllabus for GATE Mechanical Engineering – ME
will be arranged topic wise and students have to studied and prepare
according to the given Pattern. All the Details are mention about the
Syllabus for the GATE 2018 Mechanical Engineering Papers – ME .
  Engineering Mathematics
Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values and eigen vectors.

Calculus: Mean value theorems, Theorems of integral
calculus, Evaluation of definite and improper integrals, Partial
Derivatives, Maxima and minima, Multiple integrals, Fourier series.
Vector identities, Directional derivatives, Line, Surface and Volume
integrals, Stokes, Gauss and Green’s theorems.

Differential equations: First order equation (linear
and nonlinear), Higher order linear differential equations with constant
coefficients, Method of variation of parameters, Cauchy’s and Euler’s
equations, Initial and boundary value problems, Partial Differential
Equations and variable separable method.

Complex variables: Analytic functions, Cauchy’s
integral theorem and integral formula, Taylor’s and Laurent’ series,
Residue theorem, solution integrals.

Probability and Statistics: Sampling theorems,
Conditional probability, Mean, median, mode and standard deviation,
Random variables, Discrete and continuous distributions, Poisson, Normal
and Binomial distribution, Correlation and regression analysis.

Numerical Methods: Solutions of non-linear algebraic equations, single and multi-step methods for differential equations.
Transform Theory: Fourier transform, Laplace transform, Z-transform.

GENERAL APTITUDE(GA):
Verbal Ability: English grammar, sentence completion, verbal analogies, word groups, instructions, critical reasoning and verbal deduction.
Applied Mechanics and Design
Engineering Mechanics: Free body diagrams
and equilibrium; trusses and frames; virtual work; kinematics and
dynamics of particles and of rigid bodies in plane motion, including
impulse and momentum (linear and angular) and energy formulations;
impact.

Strength of Materials: Stress and
strain, stress-strain relationship and elastic constants, Mohr’s circle
for plane stress and plane strain, thin cylinders; shear force and
bending moment diagrams; bending and shear stresses; deflection of
beams; torsion of circular shafts; Euler’s theory of columns; strain
energy methods; thermal stresses.

Theory of Machines: Displacement,
velocity and acceleration analysis of plane mechanisms; dynamic analysis
of slider-crank mechanism; gear trains; flywheels.

Vibrations: Free and forced
vibration of single degree of freedom systems; effect of damping;
vibration isolation; resonance, critical speeds of shafts.

Design: Design for static and
dynamic loading; failure theories; fatigue strength and the S-N diagram;
principles of the design of machine elements such as bolted, riveted
and welded joints, shafts, spur gears, rolling and sliding contact
bearings, brakes and clutches.

Fluid Mechanics and Thermal Sciences
Fluid Mechanics: Fluid properties;
fluid statics, manometry, buoyancy; control-volume analysis of mass,
momentum and energy; fluid acceleration; differential equations of
continuity and momentum; Bernoulli’s equation; viscous flow of
incompressible fluids; boundary layer; elementary turbulent flow; flow
through pipes, head losses in pipes, bends etc.

Heat-Transfer: Modes of heat
transfer; one dimensional heat conduction, resistance concept,
electrical analogy, unsteady heat conduction, fins; dimensionless
parameters in free and forced convective heat transfer, various
correlations for heat transfer in flow over flat plates and through
pipes; thermal boundary layer; effect of turbulence; radiative heat
transfer, black and grey surfaces, shape factors, network analysis; heat
exchanger performance, LMTD and NTU methods.

Thermodynamics: Zeroth, First and
Second laws of thermodynamics; thermodynamic system and processes;
Carnot cycle. irreversibility and availability; behaviour of ideal and
real gases, properties of pure substances, calculation of work and heat
in ideal processes; analysis of thermodynamic cycles related to energy
conversion.

Applications: Power Engineering:
Steam Tables, Rankine, Brayton cycles with regeneration and reheat. I.C.
Engines: air-standard Otto, Diesel cycles. Refrigeration and
air-conditioning: Vapour refrigeration cycle, heat pumps, gas
refrigeration, Reverse Brayton cycle; moist air: psychrometric chart,
basic psychrometric processes. Turbomachinery: Pelton-wheel, Francis and
Kaplan turbines – impulse and reaction principles, velocity diagrams.

Manufacturing and Industrial Engineering
Engineering Materials: Structure and properties of engineering materials, heat treatment, stress-strain diagrams for engineering materials.

Metal Casting: Design of patterns, moulds and cores; solidification and cooling; riser and gating design, design considerations.

Forming: Plastic deformation and
yield criteria; fundamentals of hot and cold working processes; load
estimation for bulk (forging, rolling, extrusion, drawing) and sheet
(shearing, deep drawing, bending) metal forming processes; principles of
powder metallurgy.

Joining: Physics of welding, brazing and soldering; adhesive bonding; design considerations in welding.

Machining and Machine Tool Operations:
Mechanics of machining, single and multi-point cutting tools, tool
geometry and materials, tool life and wear; economics of machining;
principles of non-traditional machining processes; principles of work
holding, principles of design of jigs and fixtures.

Metrology and Inspection: Limits,
fits and tolerances; linear and angular measurements; comparators; gauge
design; interferometry; form and finish measurement; alignment and
testing methods; tolerance analysis in manufacturing and assembly.

Computer Integrated Manufacturing: Basic concepts of CAD/CAM and their integration tools.

Production Planning and Control: Forecasting models, aggreGATE production planning, scheduling, materials requirement planning.

Inventory Control: Deterministic and probabilistic models; safety stock inventory control systems.

Operations Research: Linear
programming, simplex and duplex method, transportation, assignment,
network flow models, simple queuing models, PERT and CPM.

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