Fundamental concepts and principles of mechanics. Important vector quantities. Fundamental units. Moments and couples, wrench, Resultants of forces and couples. Law of equilibrium and applications, Free body diagram, trusses (section method and joint method) and their applications, centre of mass, centre of gravity, friction (static and dynamic) their applications and limitations.

Safety measures, cutting tools, tools geometry, built up edges, introduction to machine tools, lathe machines, drill press, shapers, milling machines, band saws, grinders, carpentry shop and tools machine tools, type of joints, patterns, welding shop, different type of welding, electric arc welding, oxy acetylene welding, electric shop, series and parallel circuits, wire splicing, switches, switch board.

Basic circuit elements, ohm's law, KCL and Kvl, node and mesh analysis, series and parallel circuits, linearity and superposition principles, network laws like Thevenin and Norton theorem, maximum power transfer theorem, inductive and capacitive circuits, concepts of circuit reactance and impedance, laplace transform of circuit equations, basic operational amplifier circuits; inverting non inverting amplifiers, summing and difference amplifiers, integrator and differentiator, poly-phase circuits and phasors.

Time domain and frequency domain analysis of 1st and 2nd order electric circuits with ac and dc forcing function. Frequency response of a circuit through sinusoidal analysis. Topics covered are natural response of 1st order circuits, 1st order circuits with dependent sources, response of 1st order circuits to constant forcing function, response of 1st order circuits to non-constant forcing function, complete response of 2nd order circuits. Solving circuit differential equations using Laplace transform, Laplace transform of special signals, direct transformation of circuits in to S-domain. AC steady state power, concepts of average power, complex power and power factor, frequency response of 1st and 2nd order circuits (passive filters), asymptotic magnitude and phase bode plots.

Drafting using both manual and computer aided techniques. Familiarization with orthographic projections, sectional views, auxiliary views, isometric views, pictorial views, assembly and manufacturing drawings. Introduction to electrical drawings.

Understand the nature of energy, its use and its effect on both the individuals and society. Sources of energy: fossil fuels, nuclear energy and renewable energy. Historical patterns of energy use and the factors that shaped them. Social, economic and political implications of energy production and consumption from a local, regional, national and global perspective. A substantial portion of the course examines conservation, energy efficiency and renewable energy sources, with a focus on how these may be incorporated to create a sustainable society.

Dynamics of particles and rigid bodies in one, two and three dimensions. Kinematics of particles; rectilinear motion, plane curvilinear motion, rectangular coordinates, normal and tangential coordinates, polar coordinates, kinetics of particles; kinetic diagrams, rectilinear motion, curvilinear motion. Plane kinematics of rigid bodies; angular motion relations, absolute motion, relative velocity, plane kinetics of rigid bodies; force, mass, and acceleration, equation of motion, translation, fixed axis rotation, general plane motion. Introduction to work and energy relationship, impulse and momentum concepts.

Design criteria under static and dynamic loading. Factors of safety and allowances for stress concentration and fatigue. Design of clutches, brakes, belt drives, chain drives, bolts studs, shafts, keys, cotters, riveted joints, welded joints, mechanical springs, tribology and bearings.

Engineering properties of materials, concept of structures, metals and alloys, ceramics, polymers, composites, materials characterization, scanning probe microscopy, non-destructive testing, and material selection and phase equilibrium diagram. Manufacturing systems, modern casting, conventional machining; turning, milling, tool geometry, chips formation, material removal rate. Non conventional machining; EDM, ECM, water jet machining, laser, EBW etc. Welding processes, heat treatment, electronic fabrication, rapid prototyping.

Basic concepts of thermodynamics, system, surrounding, work, heat, and different process. Introduction to steady flow and non-steady flow processes and basic steam and gas turbine cycles. The state postulate, energy, processes and thermodynamic systems. Properties of pure substances: property tables, property diagrams, phase change, equations of state (ideal gas) and energy: energy transfer by heat, work and mass. The first law of thermodynamics: control mass and control volume. The second law of thermodynamics, Carnot cycle, entropy, Clausius inequality, the increase in entropy principle, entropy change of pure substances, the T-S relations for ideal gases: basic concept of exergy, thermodynamic cycles – Rankine steam cycle, gas turbine cycles, and the ideal Otto and Diesel cycles.

Foundation of digital computer design. Numbering systems, and Boolean algebra. At the end of introduction of logic gates, design different combinational and sequential circuits leading up to the design of complex digital systems using combinational and sequential logic. An introduction to programmable logic devices with special emphasis on field programmable gate arrays (FPGA’s).

Diodes, terminal characteristics, analysis of diode circuits, small signal model and applications, zener diodes, rectifier circuits, BJT's, analysis of transistor circuits at DC, transistor as an amplifier, small signal model and graphical analysis, single stage amplifier configuration, BJT as a switch, large scale model, BJT logic converter, field effect transistor (FET), Metal Oxide semiconductor FET (MOSFET), MOSFET circuits at DC, MOSFET as an amplifier, MOSFET single stage amplifier configurations, biasing in MOS amplifiers, MOSFET as a switch, Frequency response of amplifiers

Power semiconductor devices, operating characteristics of power semiconductor, devices such as bipolar junction transistors, IGBTS, MOSFETS and thyristors power electronics converters, AC-DC converters, phase controlled rectifiers, AC-AC converters, AC voltage controllers and stabilizers. Cycloconverters, DC-DC converters, buck regulators, boost regulators, DC-AC converters, inverters and its application in uninterruptible power supplies (UPS), introduction to machinery principles, notations, magnetic fields and circuits, magnetic behavior of ferromagnetic materials. AC and DC machinery fundamentals, DC motors, power electronics drives.

Introduction to microprocessors and microcontrollers, embedded system design, architecture of a modern microcontroller, software/firmware development tools, programming languages; assembly and C, simulation tools like Proteus, implementation of data communication, using peripherals of microcontroller (ADC, PWM, capture/compare etc), interface with external devices like LCD, keypad, motors

Basic principles of electromechanical systems like transformers, generators and motors. Faraday's law and application in rotating machines. Different techniques to analyze the performance of a range of electrical machines. Magnetic circuits, electromagnetic circuits; solenoids, transformers, transformer coupled circuits. Principles of electro-mechanical energy conversion and rotating machines, construction and operation of synchronous generator, construction and operation of synchronous motor, induction machines and their characteristics, applications of AC motors, operating principles of DC machines, performance analysis of the DC machines, modeling of DC motor, brush less DC motor, switched reluctance motor.

Concepts of stress and strain, axial loading, and torsion, pure bending, shear force and bending moment diagrams, beams under transverse loading, transformation of stress and strain, biaxial stress, Mohr’s circle, and deflection of beams, beam design and columns.

Kinematics and kinetics, kinematics fundamentals, degrees of freedom, Grubler’s criterion of mobility, the Grashof conditions, classification of the four bar mechanisms, linkages of more than four bars and introduction to working model software is discussed. Inversions and graphical synthesis, linkage transformation, intermittent motion, velocity and acceleration diagrams (graphical methods), instantaneous centre methods for velocity and acceleration of a mechanism, introduction to cams – terminologies, pressure angles, SVAJ diagrams, critical path motion (CPM), sizing the cam, cam manufacturing considerations, introduction to DYNACAM, gear trains – simple, compound, reverted and planetary gear trains are studied. Introduction to power screws, design and applications. Balancing – static and dynamic balancing.

Fundamentals of vibration, classification of vibration, analysis and elements of vibratory system. Simple harmonic analysis, un-damped and damped free vibration, introduction to forced vibration with harmonic excitation. Forced vibration with viscous and coulomb damping, coordinate coupling, principle coordinates, and multi degrees of freedom system. Numerical techniques used in vibration, and Eigen value problems are studied.

Basic concepts of heat transfer, conduction, convection, and radiation. Extended surfaces to increase heat transfer and its applications in heat sinks and in heat exchangers. 1-D heat transfer, heat transfer through composite walls, cylinders and spheres. Design and analysis of fins, applications in heat sinks, variable thermal conductivity,heat transfer free and forced convection, thermal boundary layer, flow over plates, flow within pipes, laminar and turbulent flow correlations is studied. Introduction to heat pipes, design of heat exchangers using effectiveness-NTU approach and LMTD approach. Introduction to radiation heat transfer.

Preliminary concepts of fluid dynamics, hydraulics, and pneumatics. Particular focus is on application of hydraulics and pneumatics in mechatronics systems. Fluid, properties, equation of state, hydrostatics: manometry, principles of fluid motion: description of fluid flow; continuity equation; Euler and Bernoulli equations;, Reynolds number ,laminar and turbulent flows: Reynolds demonstration of flow regimes; criterion for laminar/ turbulent flow;. Pipe flows: friction factor, friction losses, and other losses. Hydraulic and pneumatic actuating devices, hydraulic valve types, configuration and characteristics responses, pneumatic valve types, configuration and characteristic responses, design and application of hydraulic and pneumatic systems.

Measurement processes, errors: its types, causes and removal of errors in measurement systems. Signal and noise in instrumentation, display and recording systems, signal processing, transducers and actuators. Smart sensors, data logging and interfaces, data processing and storage. Measurement of temperature, pressure, flow, humidity in process and other mechatronics systems.

Introduction to control systems, Laplace transformation, block diagrams and signal flow Graphs system modeling and reconstruction. Modeling of electrical, mechanical and electromechanical systems, feedback, Masson's gain formula, state space equation, Routh Hurwitz's stability criteria, root locus analysis, root locus design,continues time system response.

Theory and design of Mechatronics/Robotic devices related to biomedical engineering including manipulation and mobility devices.

Sensors and different sensing techniques are discussed. Signal conditioning of signals provided by sensors. A brief summary of different control techniques of mechatronics systems. A general overview of typical actuators. Different types of motors, including brushed DC motor, brushless DC motor, stepper motor and servo motor, their mathematical models and theory from application perspective. Driver circuits required to provide electric power to these motors, applications of mobile robot.

Independent, or group work, as prescribed by supervisor and projects committee of concerned department

Memory, causality, stability, invertibility, linearity and time-invariance linear time invariant systems: impulse response, convolution. Functions of a complex variable, complex series and integrals. Transform methods: Continuous time Fourier series and transform, discrete- time Fourier series and transform, Frequency response. Sampling theory. Laplace and z-transforms, system functions.

Discrete-time signals, sampling theory, interpolation and decimation, causality, stability, convolution of discrete signals, DT Fourier transforms, z-transforms, DFT, FFT algorithms, digital filter design techniques, IIR and FIR Filters, finite word length effects, spectrum analysis, VLSI processors.

System dynamic response analysis (frequency response) Bode plots, Magnitude and Phase angle plots. Design of state variable feedback systems: controllability, observability. Introduction to optimal control. Material Derivatives, Modeling and Simulation of Sensors & Transducers (Piezo-electric Transducers, Hall Effect Devices) Numerical techniques, time response and digital simulation, stochastic simulation, Monte Carlo methods.

Telegraph, scanner, laser printer, advanced hardware, Programmable logic devices like , Programmable array logic (PAL) Programmable logic array (PLA),complex Programming logic device (CPLD), Application Specific Integrated Circuits (ASIC) and Field Programmable Gate Arrays (FPGA),introduction to Verilog/VHDL its applications to different components like Mux Demux, counters, registers etc. Introduction to simple as Programmable computer (SAP-1 and SAP-2).

An overview of robots, robot kinematics and dynamics control and sensing systems, robot vision programming and interfacing , basics of robot design and robot testing, applications of robots, forward and backward kinematics, velocity and torque parameters, trajectory generation and PID control for robots.

Overview to applied problems in fluid flow, thermal and electrical analyses. Introduction to computational techniques (Finite Element method, Variational principles, Galerkin method, computational fluid dynamics) to solve engineering problems. Codes used in industrial applications. Applications to laminar fluid flow, flow in pipes through bends, pressure drop computations, thermal problems in mixed mode heat transfer.

The theory of microeconomics makes use engineering economics for the tools of marginal cost-benefit analysis to provide a framework for the economic analysis of decision-making. Money-time relationship: time value of money, simple and compound interest, cash flow, single sums of money, uniform series of cash flows and equivalence. Basic methods: present worth, annual worth, future worth, internal rate of return, and external rate of return methods. Comparing alternative proposalsbreak-even analysis: break-even point, break-even involving income and cost analysis. Benefit-cost analysis: comparing benefits of costs, B/C ratios, and methods for calculating B/C ratios. Depreciation: measuring depreciation, depreciation accounting and standard methods for calculating depreciation.

Basics of computer aided design tools, machine shop equipment and processes, factors of safety and allowances for stress concentration, design of clutches, brakes, belts, joints, cam design.

Introduction to Mechatronics systems , Ac circuits introduction , Diodes , transistors , their types and properties, Introduction to digital circuits, combinational logic and logic classes, Introduction to Boolean algebra, Introduction to sequential logic circuits and flip flops, characteristics of real Op Amps, data acquisition, D/A and A/D conversion, temperature measurement, transformers. Types uses and working of Electric Motors (stepper motors and servo motors). Overview of robots. Robot kinematics and dynamics. Control and sensing systems, robot vision Programming and interfacing. Basics of robot design and robot testing, applications of robots. Forward and Backward kinematics.

Modeling of thermal and fluid systems. Kinematics and Dynamics of machinery. CAD tools for mechanical systems.

Electric circuits, amplifiers and their applications, power amplifiers and switches, DC and AC motors, digital systems. Electronic design tools.

Microprocessor hardware and software modules. Microcontrollers hardware and software architectures, Microcontrollers Programming and interface with real-time mechatronics systems. Data acquisition units, Designing stand-alone embedded systems for mechatronics products. Individual projects.

Laplace transformation, block diagrams and signal flow graphs system modeling and reconstruction. Modeling of electrical, mechanical and electromechanical systems, feedback, characteristics of DC generators and servo motors, Masson's gain formula. State space equation, Routh Hurwitz's stability criteria, root locus analysis and design, Bode plots, Magnitude and Phase angle plots. Digital control.

Modeling of mechanical systems (springs, dampers, mass, translatory and rotational systems, geared systems). Modeling of electrical systems (capacitor, inductor, resistors, analog electronic devices). Modeling of hydraulic and pneumatic systems. Mechatronics systems (Electro-mechanical, fluid¿mechanical and Electro-hydraulic systems), System dynamic response analysis (frequency response), Numerical techniques, time response and digital simulation, stochastic simulation, Monte Carlo methods. Lagrangian optimization and optimal control strategies in mechatronics.

Signal estimation. Time frequency analysis. DTFT, CTFT, FFT. The z- transform and state-variable methods. Discrete system modeling. Classical compensator design. Pole placement, state estimation, and optimal linear quadratic regulation.

Analysis of linear and nonlinear physical systems equations of motion (ODEs and PDEs). PDEs in Engineering: wave, diffusion, Laplace, Poisson equations. Transform and integral methods for solving boundary and initial value problems. Numerical methods for ordinary and partial differential equations.

Examples of embedded systems: Telegraph, scanner, laser printer, advanced hardware, Programmable array logic, Application Specific Integrated Circuits (ASIC) and Field Programmable Gate Arrays (FPGA), architecture, real-time operating systems, embedded software development tools and debugging

Dynamic analysis of systems involving automatic control of position, speed, power, flow, pressure, temperature, and other physical quantities. Analysis and design of control systems with digital controllers, including PID, finite settling time, state feedback, and minimum variance algorithms. s- transform, z-transform, mathematical modelling of dynamical systems, transfer functions, root-locus, bode plot, Nyquist plot, Nichols chart Computer simulation and analysis using Matlab; laboratory study of feedback systems.

No course outline is available.

Introduction to multi-domain systems. Design methodologies for integrated mechanical, thermal, fluid, electrical, and electronic sensors, actuators and systems used in mechatronics. Optimality modeling for mass-spring- damper robotic arm motion control. Variational lagrangian representation for optimality. Modeling of motion sensors for nonlinear thermal sensors by intergral formulation and Monte Carlo simulation. Emphasis on modeling and simulation of hybrid systems using modern computer-aided tools.

Parameter optimization. Performance measures. Variational approach to open loop optimal control, Pontryagin's minimum principle. Optimal feedback control, dynamical Programming, linear systems with quadratic performance indices, matrix Riccati equation. Numerical solution techniques of optimal control problems. Lab study to apply optimal control techniques to example dynamical systems.

Uncertainty models and information representation: types of uncertainities and uncertainty measures. Intelligent control methodologies, learning control, fuzzy control, neuro-control, neuro-fuzzy control.

Basic material properties, models, and active and sensory material systems. Health monitoring approaches to detect damage in a structure. Applications of smart materials, primarily for vibration and pointing control. Finite element models with piezoelectric elements used in sensor selection and actuator. The design of feedback and adaptive feed-forward control algorithms, implementation of sensor, actuator, and control electronics.

Field instrumentation. Cabling and grounding. Data acquisition, signal processing and transmission. Smart sensors and sensor difusion. SCADA systems. Computer based control. Direct digital control. Supervisory control. Programmable logic controllers and industrial controllers. Introduction to distributed control systems.

Computational methods and techniques used in vision-based robotics. Real- time embedded control, Design of modern robotic and industrial control systems, optimization techniques, matrix analysis, and analytic 2D / 3D geometry.

Description and demonstration of automated machine tools and machining cells. Machining center configuration and operation, machine tool controller, machining code generation, in-process sensing and control, cell controllers, and system simulation.

Machinery vibration analysis: dimensional analysis, signature analysis in time and frequency domains, spectral analysis, fault detection, diagnosis, and correction; instrumentation; case studies; machine monitoring programmes.

Distributed computer systems architecture. System elements. Data communications links. Software algorithms. Reliability. Applications

Biological and Cognitive Paradigms, Concepts of Machine Intelligence, Intelligent Agents, Vision and Image Analysis, Principles of Decision-Making, Fuzzy Logic , Decision Trees, Case-based Reasoning, Genetic Algorithms, Neural Networks, Expert systems.

No course outline is available.

Interfacing of electro-mechanical systems to microcomputers for data acquisition, data analysis and digital control. Using of PC ports and Internet for data acquisition and control purposes. PC architecture. Serial port, parallel port, USB. Programming techniques for serial and parallel communication. ISA and PCI bus specifications. ISA bus interfacing and Programming. Simple ISA card design for data aquisition.

Energy conversion and electric power conditioning. DC-DC and DC-AC converters for electrical drives, Analysis of electrical drives. Dynamic models of DC and AC machines. Control principles of variable speed and servo drives. Scalar control of DC-servo motors. Scalar and vector control principles of AC-motors. Practical control examples.

Fluids and fluid flows in high-performance actuators and controllers. Power flow and fluid power elements, valve and pump control, linear and rotary motion. State space descriptions. Design of electro-hydraulic position and velocity control servo-mechanisms for high performance with stability.

As announced by department. MT 636 Control Engineering II Continuous and discrete-time linear control systems; state variable models; analytical design for deterministic and random inputs; time-varying systems stability. Design of PID control systems, lead compensator, lag compensator, lead- lag compensator, control systems for disturbance rejection, state-space approach, design of control systems in state-space.