Highlights
Learning outcomes
The assignment should produce sufficient evidence for partial fulfillment of the following module learning outcomes: • Solve specific research-informed design problems associated with integrated mechanical engineering systems.
• Develop comprehensive design processes and methodologies and adapt them to unfamiliar research-informed situations.
• Demonstrate high-level competencies in the use of computational modeling tools used in highly technical industries and academic research.
Additional information
You may wish to put LYX to use as demonstrated in the tutorial sessions for the presentation of selected parts of this assignment. As with all assignments, the final report should be typewritten and contain integrity e.g.: This assignment has not been submitted before at this or any other educational establishment of learning in the support of a degree of any other award, on the title page.
As per the module specification, this assignment accounts for 60% of the module mark.
Resources: All resources, e.g.: ANSYS-Workbench, ANSYS-GRANTA Selector, wxMAXIMA, SCILAB, and/or MAT LAB are all available on the main LIS Network; with student versions being available through the blackboard space.
1 Background
Over the last decade, wind energy is now responsible for 15%-25% of the United Kingdom’s power generation this power is harnessed by wind turbines. Though the power resource can be considered infinite it is very unreliable, especially in the UK. However, the vast majority of a treatise on the subject [1] state that advantages such as low carbon (sometimes zero) emissions, fast installation, and commissioning as a well low expense for maintenance, well outweigh this inherent weakness [2]. However, in recent years many of these advantages have been called into question.
For instance, many of the wind turbine blades become damaged so that they are no longer usable. Many of which are not recyclable due to the highly toxic thermosetting polymeric materials of which composite matrix materials [3] are constructed. Since much of the reinforcement materials are either glass or carbon this is leaving an increasing carbon footprint. The vast majority of these blades fail through a mechanism analogous to fatigue [4], that is the strength of these components in service is known to reduce [5].
This assignment therefore will afford candidates an opportunity to engage in current doctoral research on-going in the Universities John Tyndall Institute. Thereby solicit realistic fatigue data from the literature and find so-called composite material fatigue characteristics [6]. These will be obtained by making use of curve-fitting and/or interpolation functionality resident in data-driven modeling software such as MATLAB and SCILAB. Then use these to model a specific composite material lay-up sequence within the ANSYS simulation software. The first part of this assessment for learning assignment essentially exposes candidates to the use of the ANSYS Workbench suite.
2 Tasks
The first three tasks outlined herein should be completed in a group of five students, whilst the final two tasks are completed individually. However, a number of results obtained from the group tasks must be used in order to complete the final individual submission.
Where possible the sections of the final individual submission (excluding the report i.e.: title page, Table of Contents, List of Figures, List of Tables, and Abstract) should not exceed ten sides of A4 (say 2500 words). Any extra material not directly related to the demonstration/achievement of the module descriptor learning outcomes (e.g. Module descriptor) should be included in an appendix of a final report.
Candidates are advised to refereed to relevant literature and/or class/lecture material and the focus of the module aims is being explored [8]. It is the purpose of the final report to demonstrate what learning has taken place throughout the whole assessment process and when/where the module learning outcomes have been achieved.
1. Assuming that each of the constituents of a unidirectional epoxy fiber-glass composite material is in abeyance with a so-called linear fatigue model: σmN N = A
where N is the number of cycles at failure, σN is the failure strength at these number of cycles. Use software (e.g. ANSYS-GRANTA Selector1) or literature [4, 5] to obtain salient fatigue data for E-glass and epoxy. Thereafter use SCILAB (or MATLAB) to find cogent estimates of the fatigue strength coefficient A, and the index m. {Task 1: 20 marks}
2. The NACA-2414 or a NACA-2415 aerofoil section are being considered for use in a small 4.2 m reinforced composite material blade. Critically evaluate the use of these sections, given that the blade tapers uniformly from a chord length of 600 mm at one end to 300 mm at the other2.
(a) The blade is to be manufactured from a 0.125 mm unidirectional material with the lay-up sequence [0/ − 45/90/45] the 20s. Produce a suitable 100 mm by 150 mm test piece token within the ANSYS-Workbench Static-structural module to estimate the effective mechanical properties of the material. Thereafter, verify your results using Classical Lamination Theory (CLT).
(b) Using the lay-up sequence described in the previous task use the ANSYS SpaceClaim and Mesher to produce a suitable surface model and mesh of the wind turbine blade. Perform an ANSYS structural static FEA [9] to 1Available on the LIS network
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