Best Mechanical Engineering Books for GATE Examination 2023

Best Mechanical Engineering Books for GATE Examination 2023

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

Author/ PublicationBook’s Name 

V. Bhandari

Design of the Machine Elements

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B. S. Grewal

Higher Engineering Mathematics

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R. S. Aggarwal

Quantitative Aptitude of Competitive Exams

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P. K. Nag

Engineering Thermodynamics

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S. S. Rattan

Theory of Machines

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R. K. Jain

Production Technology

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Amitabh Ghosh

Production Engineering

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V. C. Jindal

Material Science

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P. K. Nag

Power Plant Engineering

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Swadesh Singh

Production Engineering

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Design of Machine Elements

Design of Machine ElementsKnow More

  1. The book aims to provide detailed discussions on the principles, design considerations, and applications of various machine elements.
  2. It uses simple language, illustrations, and numerous examples.
  3. An ample number of examples, short Answer questions, practice problems, and MCQs marked with level of difficulty.

Higher Engineering Mathematics

Higher Engineering MathematicsKnow More

  1. One of the great books with very easy concepts to grasp, explaining concepts through examples.
  2. Mainly focused on problem-solving techniques, less theory, more questions.
  3. Topics like differentiation and integration are covered with thoroughly explained questions.

Quantitative Aptitude for Competitive Examinations

Quantitative Aptitude for Competitive ExaminationsKnow More

  1. Comprehensive: The book is more comprehensive than ever before with more than 5500 questions (supported with answers and solutions—a hallmark of Quantitative Aptitude).
  2. Easy to follow: Chapters begin with easy-to-grasp theory complemented by formulas and solved examples. They are followed by a wide-ranging number of questions for practice.
  3. Latest & Updated: With questions (memory-based) from examinations up to the year 2016, the book captures the latest examination patterns as well as questions for practice.

Engineering Thermodynamics

Engineering ThermodynamicsKnow More

  1. A good book for numerical practice. The best part is the numerical are divided into 3 categories E for easy, M for medium, and H for hard.

Theory of Machines

Theory of MachinesKnow More

  1. Various MCQs from GATE were added with difficult ones included and solved as Examples.
  2. Pedagogy includes ✔ 389 Examples ✔ 401 MCQs ✔ 516 Numerical Problems.

Production Technology: Manufacturing Processes, Technology, and Automation

Production Technology: Manufacturing Processes, Technology and AutomationKnow More

Manufacturing Science

Manufacturing ScienceKnow More

  1. The first chapter is about the manufacturing properties of various materials.
  2. In the subsequent chapters, the authors lucidly explain key manufacturing processes such as machining, joining, forming, and casting, including a chapter on unconventional machining processes.
  3. The final chapter talks about modern manufacturing technologies like generative manufacturing, self-assembly, and the Liga process.

Material Science and Metallurgy

Material Science and MetallurgyKnow More

  1. The language used is user-friendly and the diagrams are giving a clear view and concept.
  2. Solved problems, multiple-choice questions, and review questions are also integral parts of the book.
  3. The contents of the book are designed taking into account the syllabi of various universities, technical institutions, and competitive examinations like UPSC, GATE, etc.

A Text-Book On Production Engineering

A Text Book On Production EngineeringKnow More

  1. The only highlight of the book is a nice collection of exam-level MCQs.
  2. As far as GATE and ESE is concerned, the book is superb.

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

GATE 2022: Mechanical 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, mean value theorems, indeterminate forms; evaluation of definite and improper integrals; double and triple integrals; partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima, Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, applications of Gauss, Stokes, and Green’s theorems.

Differential equations: First order equations (linear and nonlinear); higher-order linear differential equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems; Laplace transforms; solutions of heat, wave, and Laplace’s equations.

Complex variables: Analytic functions; Cauchy-Riemann equations; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.

Probability and Statistics: Definitions of probability, sampling theorems, conditional probability; mean, median, mode, and standard deviation; random variables, binomial, Poisson, and normal distributions.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations; integration by trapezoidal and Simpson’s rules; single and multi-step methods for differential equations.

Engineering Mechanics: Free-body diagrams and equilibrium; friction and its applications including rolling friction, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; trusses and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and momentum (linear
and angular) and energy formulations; Lagrange’s equation.

Mechanics of Materials: Stress and strain, elastic constants, Poisson’s ratio; Mohr’s circle for plane stress and plane strain; thin cylinders; shear force and bending moment diagrams; bending and shear stresses; the concept of shear center; deflection of beams; torsion of circular shafts; Euler’s theory of columns; energy methods; thermal stresses; strain gauges and rosettes; testing of materials with the universal testing machine; testing of hardness and impact strength.

Theory of Machines: Displacement, velocity, and acceleration analysis of plane mechanisms; dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of reciprocating and rotating masses; gyroscope.

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

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

Fluid Mechanics: Fluid properties; fluid statics, forces on submerged bodies, stability of floating bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential equations of continuity and momentum; Bernoulli’s equation; dimensional analysis; viscous flow of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head losses in pipes, bends and fittings; basics of compressible fluid flow.

Heat-Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept and electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system, Heisler’s charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, effect of
turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, StefanBoltzmann law, Wien’s displacement law, black and grey surfaces, view factors, radiation network analysis.

Thermodynamics: Thermodynamic systems and processes; properties of pure substances, behavior of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in various processes; second law of thermodynamics; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations.

Applications: Power Engineering: Air and gas compressors; vapour and gas power cycles, concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles. Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles; properties of moist air, psychrometric chart, basic psychrometric processes.

Turbomachinery: Impulse and reactionprinciples, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines; steam and gas turbines.

Engineering Materials: Structure and properties of engineering materials, phase diagrams, heat treatment, stress-strain diagrams for engineering materials. Casting, Forming, and Joining Processes: Different types of castings, design of patterns, moulds, and cores; solidification and cooling; riser and gating design. 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. Principles of welding, brazing, soldering, and adhesive bonding.

Machining and Machine Tool Operations: Mechanics of machining; basic machine tools; 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, jigs, and fixtures; abrasive machining processes; NC/CNC machines and CNC programming.

Metrology and Inspection: Limits, fits, and tolerances; linear and angular measurements; comparators; interferometry; form and finish measurement; alignment and testing methods; tolerance analysis in manufacturing and assembly; concepts of the coordinate-measuring machine (CMM).

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

Production Planning and Control: Forecasting models, aggregate production planning, scheduling, materials requirement planning; lean manufacturing.
Inventory Control: Deterministic models; safety stock inventory control systems.

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

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