KB7043 - Multidisciplinary Design & Engineering Optimisation

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What will I learn on this module?

You will learn about new design techniques and concepts in engineering and optimisation methods, specifically about the followings:

• Design concepts: direct and inverse design, integrated design, multidisciplinary design, knowledge based design, design for X
• Design process: conceptual/system-level/detail design, design decision support systems, multi-criteria decision analysis
• Design for reliability: fault and failure, reliability analysis, fault tree analysis, reliability block diagram, failure mode and effect analysis, redundancy allocation, fail to safe design, fault tolerated design
• Design under uncertainties: uncertainties in engineering design, deterministic and robust design, design sensitivity analysis, Monte Carlo and Taguchi methods
• Optimisation problem formulation: constrained/unconstrained, linear/nonlinear, combinatorial, integer, single-/multi-objective, discrete/continuous/mixed, concave and convex problems
• Multi-objective optimisation: Pareto frontier, aggregate objective function, goal programming
• Search methods: gradient/hessian based, evolutionary techniques

How will I learn on this module?

You will learn related theories and concepts via lectures, seminars and workshops. Design/optimisation workshops provide an interactive learning environment, where you will integrate theory and practice.

Assessment will offer learning opportunities both formally through the marking and feedback and informally through the discussions with tutors in and out of the classroom.

How will I be supported academically on this module?

Direct contact with the tutors will provide you with direct support both in class and through the eLearning portal. In addition our open door approach will offer you the opportunity to develop professional methods of engaging with support which will assist you as you progress in your career as an engineer.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:
1. A systematic understanding of knowledge which is at the forefront of modern engineering design and optimisation
2. Knowledge of conducting essential calculations for reliability driven design and design under uncertainties

Intellectual / Professional skills & abilities:
3. Ability to plan the design optimisation processes for complex engineering problems and to formulate its corresponding optimisation problem and identifying the best applicable search method
4. Skill of using optimisation methods to find the optimum solution for a given optimisation problem and develop critiques of the methods and the optimality of the solution

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
5. Increase proficiency in applying new design and optimisation techniques towards designing products and processes with improved performance and less environmental impact.

How will I be assessed?

Formal Marked Assessments
1. Coursework-Assignment (50%)
This will assess all of the MLOs. Within 20 days after the submission date, you will receive a feedback sheet with marks and comments on each task and sub-tasks.

2. Examination (50%)
This will assess MLOs 1, 2 and 3. Written feedback will be given on your exam script within 20 working days after the exam.

Informal Assessment for Learning

You will be assessed on all learning outcomes during the workshop session. Discussion with the tutors and reflection on your performance will allow you to continuously monitor your performance and feed this forward for improvement.

Pre-requisite(s)

None

Co-requisite(s)

None

Module abstract

Alongside with advances in technology and increase awareness of environmental issues, the need for the complex and environmental friendly products and processes has led to evolution of traditional design to modern engineering design and optimisation methods. This module aims to provide students with a critical understanding of modern engineering design concepts and methods, and essential knowledge of optimisation techniques. On completion of this module the student will be able to conduct essential calculations relating to, and make critical decisions in the design process for, a complex multidisciplinary engineering design and optimisation problem.

Course info

Credits 20

Level of Study Postgraduate

Mode of Study 1 year full-time
2 other options available

Department Mechanical and Construction Engineering

Location Ellison Building, Newcastle City Campus

City Newcastle

Start September 2019

Current, Relevant and Inspiring

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