Module Title:   Sensors and Instrumentation

Module Credit:   20

Module Code:   ENG3318D

Academic Year:   2015/6

Teaching Period:   Semester 2

Module Occurrence:   A

Module Level:   FHEQ Level 6

Module Type:   Linked 10+10

Provider:   Engineering

Related Department/Subject Area:   School of Engineering

Principal Co-ordinator:   Dr A Kelly

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To provide knowledge of a wide range of sensors and actuators for general use. To provide the analytical skills and knowledge to specify and design simple sensor and actuator applications. To provide a critical evaluation of how computers can be used to monitor and control real world processes, and the application of Engineering principles to the basic design of computer systems, instrumentation, data acquisition and control systems.

Learning Teaching & Assessment Strategy:
Concepts, principles and theory are explored in formal lectures and seminars, practiced in tutorials and demonstrated in laboratory classes. The laboratory classes provide hands-on experience and develop practical skills. A group project assessment examines the wider learning outcomes expressed in the descriptor and student`s ability to apply the principles and knowledge learnt to a practical engineering task, and the formal examination assesses the knowledge base and its use.

Lectures:   36.00          Directed Study:   150.00           
Seminars/Tutorials:   12.00          Other:   0.00           
Laboratory/Practical:   0.00          Formal Exams:   2.00          Total:   200.00

On successful completion of this module you will be able to...

1. demonstrate knowledge of the range of general purpose sensors and actuators and evaluate their relative merits sufficient to generate ideas in the resolution of well defined or abstract problems;
2. understand and critically evaluate computer hardware, interfacing techniques and instrumentation systems.

On successful completion of this module you will be able to...

1. design effective real-time instrumentation systems;
2. analyze, specify and design simple sensor based measurement systems and sensor and actuator based control systems.

On successful completion of this module you will be able to...

1. demonstrate enhancement of analytical skills, problem solving skills and technical presentation skills.
2. demonstrate skills in data management and interpretation, scientific method, and systematic problem solving.

  Coursework   30%
 
  Group project related to the design of a real-time monitoring and/or control system
  Examination - closed book 2.00 70%
 
  Examination - closed book
  Examination - closed book 2.00 100%
 
  Supplementary: Examination - closed book

Outline Syllabus:
Measurement systems: purpose; structure. Static characteristics: accuracy; repeatability; non-linearity; hysteresis Dynamic characteristics: transfer function; frequency response. Noise: sources and solutions. Example active and passive sensors: optical; temperature; pressure; flow; strain; position; velocity; acceleration; sound; image; tactile; range. Actuators: linear; rotary.
Signal conversion and processing: filters; deflection bridges; amplifiers; ADC; SAH; smart sensors. Application to closed loop control systems.Transducer to computer signal conditioning including; ADC`s, DAC`s, multiplexing, sample and hold devices, filters, amplifiers and conditioning electronics.
Arrangement of interface components for real time measurement, sampling rate and dynamic range issues, component selection and matching.
Simple applications of instrumentation and advanced techniques including time domain and frequency domain condition monitoring, non-destructive testing through computerised tomography, wireless sensor networks.
Introduction to real time computing (embedded systems) via computer hardware and software requirements leading to an understanding of the operation of simple computer systems, assemblers, linkers and loaders. Interfacing to the outside world via basic data acquisition and control systems and the processing of analogue and digital signals.
An introduction to field programmable gate arrays (FPGAs)
The use of the personal computer for real time work including plug-in data acquisition boards, serial data systems analysis.

Version No:  1