KB7043 Multidisciplinary Design and Engineering Optimisation

Assignment Help Mechanical Engineering

Reference no: EM132467225 , Length: word count:6500

KB7043 Multidisciplinary Design and Engineering Optimisation Assignment - Northumbria University, UK

Learning Outcomes assessed in this assessment -

1. Appraise key features of modern engineering design concepts, theories and methods and develop critiques of them.

2. Plan the design optimisation processes for complex engineering design problems.

3. Conduct essential calculations for reliability driven design problems.

4. Formulate for a given design problem the corresponding optimisation problem, identifying the best applicable search method and carrying out essential calculations to find the optimum solution.

5. Carry out design under uncertainties for a given problem, making critical decisions and performing essential calculations.

Task - Choose a design optimisation problem from the attached list of design problems. Write a report with no more than 6500 words and no more than 15 A4 pages in the main body.

Design Optimisation Problems - Select ONE of the options below and follow the instructions given on the assignment brief.

1. Optimal sizing of a standalone Wind-PV-Battery-Diesel hybrid renewable energy system

For an arbitrary site with known load and resource profile, find optimum size of each component (including inverter/converter) leading to minimum levelised cost of energy subject to a series of constraints including a number of arbitrary end- user requirements.

2. Design optimisation of a flat finned heat exchanger

For an arbitrary capacity (heat transfer rate in W), ambient temperature and maximum allowable temperature, find the optimal material and size for the finned heat sink below leading to minimum cost.

3. Design optimisation of an adaptive passive beam vibration absorber

For an arbitrary set of data (beam length, cross-section and material), find the optimal configuration and characteristics of a string-mass absorber that maximises the absorber operation range.

4. Design optimisation of a nanofluid flat solar collector

Find the optimum configuration (tube type, tube size, tube surface roughness, type of nanoparticle, size of nanoparticle, mass flow rate, tube distribution configuration, glazing type and size, insulation size and type) of a nanofluid flat solar collector which maximises the efficiency per unit area.

5. Design optimisation of hybrid photovoltaic-thermal collectors

Find the optimum configuration (see figure below) of a hybrid photovoltaic-thermal collector integrated in a domestic hot water heating system with the objective of cost.

Note - Need Total 6500 words and British Standard or Harvard Referencing Style.

Attachment:- Multidisciplinary Design and Engineering Optimisation Assignment File.rar

Reference no: EM132467225

Questions Cloud

Prepare a statement of cash flows using the indirect method : Prepare a statement of cash flows using the indirect method. (Show amounts that decrease cash flow with either a - sign e.g. -15,000 or in parenthesis )

How would you approach solving the problem : If you were advising someone with damaged credit, how would you approach solving the problem?

Calculate the npv and decide if the system is worth : A new computer system will require an initial outlay of $23,500, but it will increase the firm's cash flows by $5,000 a year for each of the next 7 years.

Calculate the npv and decide if the system : A new computer system will require an initial outlay of $23,500, but it will increase the firm's cash flows by $5,000 a year for each of the next 7 years.

KB7043 Multidisciplinary Design and Engineering Optimisation : KB7043 Multidisciplinary Design and Engineering Optimisation Assignment Help and Solution - Northumbria University, UK. Design Optimisation Problems

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