Publications
References and Links to Papers
Survey Data Analysis Of Accounting Students
INSIGHTS
• There are limitations that come with this research, just as there would be with any research drawing inferences of the population from the sample.
• The first limitation is regarding the IT skills themselves. As mentioned in the literature review, there are other IT skills brewing in the technology side of accounting such as RPA and AI which have not been mentioned in the survey, and these have not been recommended by the PWC report. Exploring further IT skills will open up more avenues for research.
• The second limitation is the PWC report itself. Although it satisfactorily gives the IT skills needed, it does, not tell the specifics of the skills, and states in generic terms.
• The third limitation is regarding the sample. This sample was quite a feat to obtain itself through extensive networking totalling 36 respondents. More meaningful results could be drawn if the sample size were far greater.
Many literatures go further than this sample size however due to time and networking constraints, this was the best manageable sample size that satisfied the criteria of “large sample size” i.e. n>30 (George, 2016). Therefore, the sample may not fully represent the population, and repeated measures across different time would be appropriate for future research to open up further statistical tests and more explorations.
• The fourth limitation is the fast-growing nature of technology which could mean that the IT skills described here could become of obsolete in the near future. Hence time horizon limitation must be considered when considering the findings of this paper.
• The fifth limitation is about the survey regarding the respondent’s intentions. There is no method of confirmation to tell whether the survey done anonymously was done by the actual respondent. Although faithfulness is assumed on the respondent’s side, however this still needs to be considered.
• The final limitation is the limited functionality of the trial version of the SogoSurvey, hence greater number of random sample size could not be achieved due to financial constraints.
Mechanical data analysis of composite
INSIGHTS
• The waves are not progressive and this is due to low forcing frequency causing wavelengths to be greater than the specimen. Transverse waves although had shorter wavelengths but were still longer than the height of the RVE.
• The protrusion has increased the performance of the composite by making it overall stiffer and lighter as seen by having a greater E and lower mass in triangular RVE.
• Scattering could, not be observed as the wavelengths were too long than the specimen dimensions.
• Dispersion effects were observed because the phase velocities were different for set angular frequencies.
• Snell’s law could, not be computed for the values of either RVE because sine coefficient was too great i.e. 𝑠𝑖𝑛 (𝜃 𝑜𝑟 𝜙)>1.
• Resonance was not achieved with the set forcing function using 80% of reference RVE’s first mode and this frequency was set for triangular RVE as well. The reason for using same frequency for triangular RVE is because its natural frequency is higher than reference RVE. The reaction force was the determinant for concluding that resonance was not achieved.
• There was expected stress concentration near the protrusion.
• From impact mechanics using loading step of Abaqus, the impulse of triangular RVE was lower due to lower inertia. This was an indicator of having improved performance of the composite.
• There was higher strain field in axial direction than transverse due to the nature of oscillatory motion in x coordinate.
• Amplitude coefficients are valid for travelling waves not standing waves.
• Toughness of the elements in the triangular RVE has been increased due to the protrusion, which presents a unique way of improving toughness in needed regions.
• Longitudinal waves dominate the transverse waves as the forcing frequency of the model is undergoing first mode of vibration along the x coordinate.
• Expected shearing stresses and strains were produced to due to longitudinal standing waves.
• The results could, not be obtained for phase velocity at the boundary dividing the matrix and fibre as the tie constraints do, not allow it in Abaqus.
• The material properties used demonstrated that the selected fibre and matrix had isotropic properties i.e. material response is same in all directions and therefore equations for elasticity were valid for the used materials.
• No FEA errors or warnings were given for the mesh using Abaqus mesh verification tool hence the mesh had sufficient quality to perform analysis with.
• Failure of the model was not observed as the elastic limit was not crossed. If elastic limit is crossed, Abaqus aborts the job and does, not proceed with the analysis this is because other parameters such as plasticity, failure and damage need to be defined which were not the focus of this report.
• The change of geometry of the fibre certainly does have effect on mechanical properties of the material and so micromechanically should, not be underestimated as a parameter.
materials for investigation were epoxy as matrix and Kevlar as the reinforcement. The loading was not carried out further than proportional limit in order to study the material within the isotropic elastic theory and failure/plasticity was also not considered. Furthermore, scattering phenomena was not observed however a standing wave problem was found instead. Conclusions were drawn at the end of the report and suggestions for further work were laid out. Lastly, project management was discussed so regarding optimisation of the plan.