Introduction

Mechatronics engineering is a multidisciplinary engineering field which combines mechanical, electronic, and electrical, computer systems and Control Engineering.  Our society has a vast number of mechatronic products which includes things as: programmable washing machines, active suspension, anti – lock brakes, automated robots in manufacturing assembly lines, medical devices and autofocus cameras

Mechatronics engineers unite the principles of mechanics, electronics, and computing to generate a simpler, more economical and reliable system.  They are employed in a wide range of jobs in design, improvement, implementation and maintenance of high-tech products, services and processes in mechanical, electronic and computer-related businesses.

With the multi-disciplinary nature of mechatronics engineering, mechatronics engineers have excellent opportunities and will progress quickly to jobs with greater responsibilities in diverse plants such as mining, biomedical, manufacturing, aerospace, chemical processing, education, research and development, health care, communication, electronics, marine engineering etc.

Rationale

Every aspect of our lives has been affected by mechatronics products. For instance, in manufacturing industry, automation is one of the key elements to sustained productivity. If the country is to compete favorably on the economic front, the need for mechatronics engineering cannot be over emphasized. In Zambia as we drive the agenda for increased productivity, there is a need for such skills in order to get to higher levels of productivity.

Objectives

Apply knowledge of mathematics, science, and engineering and;

  1. design systems, components, or processes to meet desired needs for
  2. communicate effectively;
  3. function on multi-disciplinary teams involving other engineers and professionals;
  4. identify, formulate, and solve diverse engineering problems involving electronic, mechanical and computer systems;
  5. use the techniques, skills, and modern engineering tools necessary for engineering practice 

Aim

The aim of the programme is to produce graduates well-grounded in science, mathematics, and principles of electronic, mechanical and computer systems that form an essential foundation to develop the intellectual skills and versatility needed for the students to either pursue careers in mechatronics at postgraduate level or equip them with problem-solving skills in the field of mechatronics engineering

Second Year

Introduction to software development

Fundamental quality attributes of code

Introduction to Introduction to OOP paradigm

Introduction to Programming in MATLAB

INTRODUCTION

PROJECTION METHODS

DIMENSIONING

SECTIONAL VIEWS

ASSEMBLY DRAWING

ENGINEERING GRAPHICS

INTRODUCTION TO CAD

 
UNIT A1.1 APPLYING  POWER AND ENERGY
UNIT A1.2 USING AVERAGE AND R.M.S VALUES
UNIT A1.3 APPLYING  KIRCHHOFF’S LAWS
UNIT A1.4 ANALYSING  NETWORK THEOREMS
UNIT A1.5 ANALYSING  SIMPLE DC NETWORKS
UNIT A1.6 APPLYING  ELECTROMAGNETIC PRINCIPLES AND MAGNETISM
UNIT A1.7 APPLYING  ELECTROSTATIC PRINCIPLES AND ELECTROSTATICS
UNIT A1.8 ANALYSING  STEADY STATE RESPONSE OF SIMPLE RLC NETWORKS TO SINUSOIDAL EXCITATION
UNIT A1.9 APPLYING POWER IN AC.CIRCUITS
UNIT A1.10  APPLYING RESONANCE IN SERIES AND PARALLEL RLC CIRCUITS
UNIT A1.12  USING THREE PHASE SYSTEMS (I.E  DELTA/STAR CONNECTIONS)
UNIT B1.1 USING SEMICONDUCTOR THEORY
UNIT B2.1 APPLYING JUNCTION DIODES, BIPOLAR JUNCTIONTRANSISTORS AND UNIPOLAR TRANSISTORS (FET’s)
UNIT B3.1 USING AMPLIFIERS
UNIT B4.1 IDENTIFYING SPECIAL SOLID – STATE DEVICES
UNIT B5.1 USING FILTERS
Mechanical Engineering Workshop

Electrical Engineering Workshop

Land Surveying

Civil Engineering Workshop:

.
SURVEY OF PROPERTIES OF MATERIAL

BOND THEORY

PHASE DIAGRAMS

IRON AND STEEL PRODUCTION

HEAT TREATMENT OF STEEL

NON FERROUS METALS

ENVIROMENTAL EFFECTS

SELECTION OF MATERIALS

The main topics include: fundamentals in engineering measurement systems including transducer operation, signal conditioning, data reduction and presentation of results.  Transducer and measurement system characteristics including resolution, sensitivity and loading. Operating principles of basic instrumentation for measurement of engineering quantities such as voltage, current, power, resistance, force, pressure, temperature, flow, civil engineering applications, etc. Uncertainty analysis, data analysis, sources of errors (random and systematic), data analysis and acquisition, recalibration and introduction to experiment design.
1.0  BASIC CONCEPTS

2.0  STATICS OF BODIES

3.0  FLUID STATICS

4.0  KINEMATICS OF PARTICLE

5.0  FLUID DYNAMICS

Third Year

Laplace Transforms

Application of Laplace transforms to solve differential equations

Fourier series

Fourier Transforms

Multiple Integration

Vector Algebra

Vector calculus

Partial Differential equations

Functions of complex variables

z- transforms and difference equations

Three phase systems

Network topology,

Computer aided analysis,

Filter circuits,

Network theorems,

Laplace and impedance transforms,

Port parameters and coupled circuits,

H – Parameters model, Amplifier circuits, noise and feedback.

Ideal Op- Amps, Practical Op – Amp circuits, Signature circuits,

Active Filters and Filter Conversion

Introduction to signals

Periodic signal analysis

Non – periodic signal analysis

Awkward signal analysis

Introduction to systems

Sampled signals

Application to linear feedback systems

Application to filters and Equalizers

Part one
  • Basic fluid dynamics
  • Energy equation
  • Momentum equation
  • Behaviour of real fluids

Part two

  • Basic principles of thermodynamics
  • Work and heat
  • The first law of thermodynamics
  • The second law of thermodynamics
  • Power and Refrigeration vapour cycles
  • Hydraulic Turbines System
  • Analysis of Pumps
Introduction

Magnetic Field Energy and Forces.

Energy Conversions.

Singly Excitated Systems.

Doubly Excited Systems.

Interaction Forces.

Direct Current Machines.

Single phase transformers.

Single phase induction machines

Introduction

Combinational logic gates

Sequential logic gates

Introduction to microprocessors and microcontrollers

Introduction to Programmable logic controllers (PLCs)

Integrated circuit technologies: TTL, CMOS,

Introduction to Verilog or VHDL and its use with FPGA (practical training)

 

Mechanical properties of materials

Stress and strain

Theory and buckling of columns

Deflection of beams and shafts

Transverse shear

Stress transformation

Strain transformation

Torsion

Energy methods

Continuous beams

Bending

Combined loading

Fourth Year

Dynamic modeling of engineering systems (e.g. mechanical, electronic and electro-mechanical systems, thermal etc.)

Transfer functions, block diagram, signal flow graphs

PID controllers

Design of control systems

Root locus design

Lead and lag compensation

Frequency response analysis and design

Continuous state models, analysis and synthesis

Continuous estimators

Transient and steady-state response of state variable representations

Pole placement techniques

Discrete control systems

z-transforms, difference equations

ZOH circuits

Discrete root locus

Practical considerations of discrete control systems

A/D and D/A converters and filters

Design exercises

Computer architecture and Embedded systems

Embedded systems design methodology

Embedded systems hardware

Networked Microcontrollers

Specific Microcontroller IC (AVR or PIC) detailed architecture

Microcontroller architecture Assembly language programming

Advanced applications and interfacing with microcontrollers

Embedded systems performance

Design of Printed Circuit Boards (PCBs) for embedded systems

Introduction to Real –time Operating systems

Introduction to Machine design

Failure Prevention- Static Failure

Failure Prevention- Fatigue failures

Introduction to Analysis tools- Finite Element Analysis (FEA)

Reliability and Quality control in design

Tolerances and fits

Gears

Shafts

Hydrostatic bearings

Clutches, coupling and Brakes

Springs

Bolted, riveted and welded joints

Belts and pulleys

Power transmission systems

Dynamic load systems

Professional communication techniques

Concepts of computer systems and networks

Computer network fundamentals

Network security

The Role of Statistics in Engineering

Descriptive Statistics

Probability

Discrete Random Variables and Probability Distributions

Continuous Random Variables and Probability Distributions

Joint Probability Distribution

Sampling Distributions and Point Estimation of Parameters

Statistical Interval for a Single sample

Tests of Hypotheses for a Single Sample

Design and Analysis of Single-Factor Experiments: The Analysis of Variance

Introduction to signal theory,

Fourier series,

Modulation,

Noise,

Convolution,

Attenuator,

Equalizers

Filters

Matched filter detection

Images and the spatial frequency domain

Image coding techniques

Introduction to software defined radio

Matlab simulation for signal processing

Research Methods

The course is a Group Design element with an open-ended design problem solving exercise and report that demands the application of the ‘design process’ and production of a design solution. The Project element is an investigation and Project Report into an engineering problem, theory or system and concerns itself with an investigation and has outcomes that are clearly defined at the outset. This could typically involve research, lab-based or workshop-based activities and investigation, testing and report writing.

This course provides the opportunity for you to demonstrate your understanding e.g. Mechanical Engineering students carry out a Mechanical related project and design problem solving exercise. Electrical/Electronics and Civil students do the same based on their branch of Engineering related project and design exercise.

Project Management are also important elements within this course.

Students are advised to work in teams and solve the design project by contributing individually to the outcome of the project but executed by the team.

Fifth Year

Project management. Writing Aims and Objectives.Investigation into an engineering problem or phenomenon, Research and analysis into relevant previous work on the problem or phenomenon being investigated.Use of appropriate analysis techniques.

Use of appropriate design techniques (if required) and the production of appropriate designs (where necessary).Production of hardware (where appropriate or necessary).
Testing and the production and interpretation of results.Production of a project report that includes conclusions and recommendations.Personal Development Planning (PDP).Report writing

Introduction to Principles of Management: Leadership, Entrepreneurship, and Strategy. Personality, Attitudes, and Work Behaviors History, Globalization, and Values-Based Leadership.

Entrepreneurship: Entrepreneurial perspective: types of entrepreneurs, characteristics of entrepreneurs, writing business plans. Government policies on small business ventures. Enterprising opportunities: business motivation, competencies and skills, product concept and description, market assessment. Starting new business ventures: the calculated risk, business planning and organization.

Developing Mission, Vision, and Values, Strategizing: Strategic Management in the P-O-L-C, Goals and Objectives, Organizational Structure and Change, Organizational Culture, Social Networks. Leading People and Organizations, Decision Making, Communication in Organizations, Managing Groups and Teams, Motivating Employees, The Essentials of Control, Strategic Human Resource Management, Managerial systems, Industrial and operations management, Marketing, Total Quality Management (TQM), TPM, JIT, Engineering Economics, Financial accounting and management

Measurement of physical systems

Industrial transducers

Integration of programmable logic controllers (PLCs)

Supervisory control and data acquisition (SCADA) systems

Management information systems (MIS)

Signal transmission and conditioning

Microcontrollers

Computer interfacing

Real-time multitasking in computer control

Reading and interpretation of PID (Process Instruments and Devices) drawings

Nonlinear and advanced control methods

Introduction to computer vision

Image formation and optics

Feature detection and matching

Multiple Views and Motion

Recognition

Use of OpenCV or python for computer vision

Characteristics Of WSN

Medium Access Control Protocols

Routing And Data Gathering Protocols

Embedded Operating Systems

Applications Of WSN

Introduction to fluid power systems

Pressure and Force relationship

Hydraulic fluid properties

Actuators

Valves

Basic symbols

Hydraulic pumps

Accessories

Speed control methods in hydraulic systems

Pneumatics

Electro – pneumatics

Compressors

Hydraulic servo mechanisms

PLC control in Fluid power systems

Design exercise

Mathematical modeling of robots

Common kinematic arrangements

Actuators and drives

Rigid motions and homogeneous transforms

Introduction to Computer vision

Vision based control

Independent joint control of robots

Path and trajectory planning

Velocity kinematics

Differential motions

Dynamics

Force and compliance controls

1 Introduction

2. DC motor drives

3. Induction motor drives

4.Synchronous Motor Drives