Abdelmoneim Mohamed

Performed FEA to evaluate stress distribution and sealing performance under representative loads and boundary conditions. Modelled viscoelastic material behaviour to capture time-dependent deformation, damping, and stress relaxation effects. Iterated geometry/material layout to reduce peak stresses and improve durability versus the baseline design.

Built a Python CFD solver to evaluate shock-capturing approaches for compressible hypersonics. Compared multiple flux schemes and assessed accuracy, stability, robustness, and computational costs. Quantified performance using shock thickness, contact smearing, oscillations near shocks, and numerical diffusion.

Using StarCCM+ computations and wind tunnel testing, the study finds that Gurney flaps enhance lift by approximately 20%, though drag increases by about 15%. The lift-to-drag ratio improves by 15-20%, with the most significant improvements seen during take-off. However, high Reynolds numbers, extreme angles of attack, and improper flap positioning limit effectiveness.

Using python 2D and 3D models with direct numerical simulation, it compares Thermo-Chemical Nonequilibrium and Calorically Perfect cases of shear layers. Results show Thermo-Chemical Nonequilibrium delays turbulence transition, with chemical nonequilibrium impacting flow diffusivity.

Optimizing wind turbine blade performance under heavy rain by adjusting blade speed to mitigate erosion. Using 3D models of FEA and CFD simulations, findings suggest a 5%-10% decrease in blade speed reduces erosion by 20%-30%, improves lift-to-drag ratio by 5%-8%, and delays surface roughness onset by 10%-15%.

Implemented a 2D transient diffusion PDE solver using finite differences, boundary conditions, and explicit time stepping. Parallelised grid updates across multiple CPU processors to reduce runtime and enable higher-resolution meshes. Produced time-resolved concentration/transport results and demonstrated scalability.

Solved the 2D diffusion equation on a structured grid using second-order finite differences. Performed mesh refinement studies and used norm-based error measures to quantify discretisation error and convergence. Verified solution credibility through convergence trends and cross-comparison between successive grid resolutions.

Discretised Poisson PDEs into large sparse linear systems and constructed structured/banded matrices in MATLAB. Compared direct (Gaussian elimination/LU) and iterative solvers (Jacobi/Gauss–Seidel/SOR) for stability and convergence. Evaluated residual norms, conditioning, and grid refinement effects to justify solver choice and numerical reliability.