Dynamic Systems 1

Overview

"Mechanical:
Newton’s laws of motion. Conservation of energy and momentum, the work-energy theorem and the impulse-momentum relationship, for both linear and rotary systems. Rectilinear and oblique particle impacts and the coefficient of restitution. Moments of inertia and the parallel and perpendicular axis theorems. Analysis of the slider-crank mechanism. Rotating machinery. Momentum considerations applied to an impulse turbine. Analysis of rotating systems with gearing and clutches. Variable mass problems. The simple gyroscope. Introduction to mechanical vibrations.
Electrical:
Simple DC circuit analyses utilizing Kirchhoff’’s Voltage and Current Laws for Mesh and Nodal analysis. Thevenin Equivalent Circuits and basic AC signal measurements.
Computing:
Introduction to microcontrollers and embedded computer systems.

Learning Objectives

Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Some of the knowledge will be at the forefront of the particular subject of study

Analyse complex problems to reach substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles

Select and apply appropriate computational and analytical techniques to model complex problems, recognising the limitations of the techniques employed

Use practical laboratory and workshop skills to investigate complex problems

Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering

Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed

Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed

Use practical laboratory and workshop skills to investigate complex problems

Skills

Apply their skills in problem solving, communication, information retrieval, working with others and the effective use of general IT facilities

Plan self-learning and improve performance, as the foundation for lifelong learning/CPD

Monitor and adjust a personal programme of work on an on-going basis

Assessment

None.