MAR8067 : Marine Machinery Systems
- Offered for Year: 2019/20
- Module Leader(s): Dr Kayvan Pazouki
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
|Semester 1 Credit Value:||10|
|Semester 2 Credit Value:||10|
To develop knowledge and understanding of:
A1. Mathematical modelling and its fundamentals
A2. Control theory and its basic applications
A3. Rationale and procedures for modelling, simulation and analysis of marine machinery systems
A4. integrated analysis of propulsion, transmission and stabilisation systems
Outline Of Syllabus
The lecture material will cover:
Introduction to control engineering, open and closed loop systems, mathematical modelling of mechanical, hydraulic and electrical system components, linearisation, solution of 1st and 2nd order differential equations, Laplace transforms and their application, initial and final value theorem, state-space representation, transfer functions, block diagrams, poles and zero, time response, Routh-Hurwitz stability theorem, frequency response methods, relative stability, design of feedback control systems, bode diagrams, nyquist diagrams, gain and phase margins, closed loop analysis, root locus diagram and controller design. Marine system identification. Modelling, control and simulation of hydraulic (actuators, motors and pumps) and electric systems (passive and active networks, DC/AC motors and actuators), on-board ships for applications of governing speed of an engine, power transmission, ship dynamic stability and manoeuvring, system identification, controllability and observability assessment techniques.
The laboratory study will cover:
the modelling of engineering systems in Labview and Matlab/Simulink to study control system design to improve dynamic performance.
|Guided Independent Study||Assessment preparation and completion||1||22:00||22:00||Examination revision|
|Guided Independent Study||Assessment preparation and completion||1||3:00||3:00||Examination|
|Scheduled Learning And Teaching Activities||Lecture||22||2:00||44:00||N/A|
|Guided Independent Study||Assessment preparation and completion||1||16:00||16:00||Coursework|
|Scheduled Learning And Teaching Activities||Practical||8||3:00||24:00||Computer class|
|Scheduled Learning And Teaching Activities||Small group teaching||24||1:00||24:00||Tutorial and feedback sessions|
|Guided Independent Study||Independent study||1||67:00||67:00||Review and study lecture materials and notes|
Teaching Rationale And Relationship
The use of lectures as the principal teaching method is justified by the need to assist students in the acquisition of a knowledge base that will facilitate understanding of a sizeable and detailed body of materials. (IKO1-5)
Tutorials provide a forum in which students are given opportunity to develop subject-specific skills, negotiate their problems with tutors and their peers in a less formal approach. (ISO1-3)
Coursework which is based on development of a simulation and analysis program will provide a platform for active participation to exercise cognitive skills, planning, problem-solving, numeracy skills and computer literacy. (ISO1-6)
Independent study includes:
Directed study following lectures,
Self-directed and directed study relevant to assessed project, which affords an opportunity to bring together relevant knowledge, subject specific and assessed key skills.
The format of resits will be determined by the Board of Examiners
Assessment Rationale And Relationship
The examination affords students an opportunity to demonstrate knowledge, understanding and possession of subject specific and key skills. The medium also allows students to demonstrate intended learning outcomes across a wide range of topics within a syllabus under time-limited conditions, this being a valuable metric for any subsequent employer.
The unseen exam also affords students with an opportunity to demonstrate numeracy and literacy and associated cognitive skills. The Graduate Skills Framework entries indicated as 'A' are also assessed in this way.
The computer-based simulation laboratory work assess their ability to perform dynamic modelling simulation, interpretation and presentation, without a tight time limit.