Task 1
You have been positioned within the design simulation team that utilises ANSYS simulation software which includes both FEA and CFD.
One of the company’s clients has requested help with the design of a bridge that they are to build located in the high peaks area of Derbyshire.
The loading characteristics will be footfall, sheep, farm machinery such as tractor and trailers, cars and Lorries up to 7.5 tonnes gross weight.
Each member of the team has been allocated portions of the design. You have been tasked with one of the structural components as your first task.
On receiving your data on the structural component you are to:
a. Define the material to be used with justification, covering physical and mechanical properties.
b. Develop a fully working simulation by selecting an appropriate models, with a comparison of the results with those obtained by hand calculations and stating any deficiencies and possible causes
c. Repeat the simulations using different loading characteristics to a maximum of four variant loadings.
On conclusion produce both a report covering pass criterial and a presentation for the merit and distinction criteria.

You are writing a report based on the following criteria:
P1: Discuss the benefits and pitfalls of computer based models used within an industrial environment to solve problems in engineering
M1: Evaluate the capabilities and limitations of computer-based models
M2: Evaluate the processes and applications used in solving problems in engineering
D1: Critically evaluate and provide supported recommendations for the application of computer-based models to an industrial environment that would improve efficiency and problem solving
LO2 Analyse finite element product and system models in order to find and solve potential structural or performance issues
P2: Analyse the role of finite element analysis in modelling products and systems
P3: Review a range of practical examples to solve potential structural or performance-based issues using finite element product and systems models
M3: Critically analyse the finite element product and systems models that help to find and solve potential performance or structural issues for a range of practical examples
D2: For a range of practical examples, provide supported and justified recommendations for recognising and solving potential structural or performance-based issues, using finite element product and systems models
Task 2
The customer has also been tasked with the cleaning of the bridge and has decided to consider using some form of jet cleaning mechanisms. Subsequently, the client has now requested additionally that your company assist in the design and recommend appropriate equipment
The design simulation team leader has asked you to suggest suitable type of equipment and conduct a design analysis of flow velocity and pressure fields which affects its capability.
Your simulation should include a flow physics, appropriate boundary conditions and variety of meshing and justifications of solvers used.
This is to be included in your overall report using a maximum of a 1000 words
LO3 Perform CFD simulations to evaluate pressure and velocity distributions within an engineering setting
P4: Demonstrate the importance of CFD simulations applied to evaluate pressure and velocity distributions in the engineering setting
P5: Complete CFD simulation to evaluate pressure and velocity distributions within an engineering setting
M4: Evaluate the application and limitations of CFD in an engineering context
D3: Provide supported and appropriate recommendations for improving efficiency and the generation of suitable meshes for CFD Simulations
Task 3
The design simulation team leader has requested you to evaluate and justify either task 1 or 2 using the criteria identified below.
This is to be included in your overall report using a maximum of a 1000 words.
LO4 Determine faults in the application of simulation techniques to evaluate the modelling method and data accuracy.

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These solutions may offer step-by-step problem-solving explanations or good writing examples that include modern styles of formatting and construction of bibliographies out of text citations and references. Students may use these solutions for personal skill-building and practice. Unethical use is strictly forbidden.

Practical engineering problems are complex than the theoretical or ideal scenarios and require more time and effort to find applicable solutions. Further, in many cases the number of variables which has to be deal with is large and simple hand calculations are not possible. Therefore, uncertainty of the problem is high. In these types of cases, Computer based models are developed and solved numerically to visualize the real-life behavior of the problem. Apart from the above-mentioned situation, simulations are used for experimentation in a low-cost, low-risk environment.
One of the major benefits of computer-based models is that it can save our time and better and more efficient designs can be made in shorter time duration. When involving with an engineering problem, alterations are need to make time to time. Computer models are easier to change and can then be reused multiple times over and over again. Not like some data analysis methods or forecasting methods that can predict results for similar situations that has already happened in the past, Computer models allow us to forecast things that have never happened before and to run scenarios outside of historical bounds. Computer based models, especially agent-based modeling provides highly flexible techniques for answering a wide range of engineering and research questions. Simulations are built to experiment in a controlled and low-risk environment before taking action in the real world. Thus, a broad range of hypotheses can be tested within the program enabling to test, find optimum answers and add a great value to the solution. This dynamic and creative process can expand the capabilities of the practical applications and helps to make better decisions. Compared to the cost of experimenting in the real world, the use of simulation requires very little time and resources. Therefore, it is low cost, low risk and accurate method to test ideas before acting on a plan and making decisions that will be most appropriate to the real world. Moreover, computer-based modelling is an innovative approach and organizations are being introduced these within their organization to solve their practical problems.
Although simulation can be used in many scenarios, a formalized set of rules and best practices is not always readily available. For this reason, it is difficult to start simulations and computer-based modeling as a new learner. these methods require less data to construct the model. However, validation process of the simulated or modeled results often requires multiple data sources to achieve a great degree of confidence in its representation of real-world dynamics. Therefore, this is a major disadvantage for computer-based models and it is often more difficult too. Because to match real-world outcomes to the results that were obtained, need changes of theoretical rules guiding the computer model or test under different assumptions. Further, it is challenging as well as time consuming to get all of the assumptions synchronized and conclude results.
As a result of other areas of technology, we can expect that computer-based modeling will continue to develop in the future, opening up new and innovative methods of design and engineering for a number of different industries.
1.1. Define problem
Main aim of this project is to perform CFD simulations...

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