MECHANICAL ENGINEERING
PAPER – I
1. Mechanics:
1.1 Mechanics of rigid bodies:
Equations of equilibrium in space
and its application; first and second moments of area; simple problems on friction;
kinematics of particles for plane motion; elementary particle dynamics.
1.2 Mechanics of deformable bodies:
Generalized Hooke’s law and its
application; design problems on axial stress, shear stress and bearing stress; material
properties for dynamic loading; bending shear and stresses in beams;.
determination of principle stresses and strains – analytical and graphical;
compound and combined stresses; bi-axial stresses - thin walled pressure
vessel; material behaviour and design factors for dynamic load; design of
circular shafts for bending and torsional load only; deflection of beam for
statically determinate problems; theories of failure.
2. Engineering Materials:
Basic concepts on structure of
solids; common ferrous and non-ferrous materials and their applications;
heattreatment of steels; non-metals- plastics, ceramics, composite materials
and nano-materials.
3. Theory of Machines:
Kinematic and dynamic analysis of
plane mechanisms. Cams, Gears and epicyclic gear trains, flywheels, governors,
balancing of rigid rotors, balancing of single and multicylinder engines,
linear vibration analysis of mechanical systems (single degree of freedom),
Critical speeds and whirling of shafts.
4. Manufacturing Science:
4.1 Manufacturing Process:
Machine tool engineering –
Merchant’s force analysis; Taylor
Forming and welding processes-
standard processes.
Metrology - concept of fits and
tolerances; tools and gauges; comparators; inspection of length; position; profile
and surface finish.
4.2. Manufacturing Management:
System design: factory location-
simple OR models; plant layout - methods based; applications of engineering economic
analysis and break- even analysis for product selection, process selection and
capacity planning;predetermined time standards.
System planning; forecasting methods
based on regression and decomposition, design and balancing of multi model
andstochastic assembly lines; inventory management – probabilistic inventory
models for order time and order quantity determination; JIT systems; strategic
sourcing; managing inter plant logistics.
System operations and
control: Scheduling algorithms for job shops; applications of statistical
methods for product and process quality control - applications of control
charts for mean, range, percent defective, number of defectives and defects per
unit; quality cost systems; management of resources, organizations and risks in
projects.
System improvement:
Implementation of systems, such as total quality management, developing and
managing flexible, lean and agile organizations.
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