The elbow joint is frequently affected by two kinds of arthritis (degenerative arthritis and rheumatoid arthritis) following some kind of injuries. There have been efforts since the eighteenth century by various individuals and organizations in modeling permanent implants for the elbow joint, but some of the prostheses have been disappointing because of lack of understanding of the biomechanics of the elbow joint. This paper presents investigation of the stress analysis of the fixation of artificial elbow joint into the humerus bone of the human arm. The Finite Element Analysis (FEA) technique is used to study the stress distribution. The Amira software is used to develop the humerus bone model from a Computed Tomography (CT) data set. Then, the MSC Marc Mentat software is used to create implant and cement-mantle models from geometrical entities. The Magics software is used alongside to achieve appropriate models for the analysis. The maximum principal and von Mises stresses are obtained for varying lengths of the implant at a fixed diameter and with the elbow at an angle of fixation.

Power transmission shafting is a vital element of all rotating machinery. A complete shaft design involves many iterative phases and fundamental to this is the determination of preliminary dimensions of the shaft. This paper presents a comprehensive fatigue analysis approach of determining the initial dimensions of a power transmission shaft under fatigue loading based on American Society of Mechanical Engineers (ASME) Standard B106.1M:1985. A countershaft running at a constant speed is designed using this approach. Stress analysis at potential critical locations are conducted to determine the shaft sizes. The sizes from these locations are then used to estimate the sizes at low stress locations. Adjacent sizes are blended using the largest size. To help visualize, a CAD model of the preliminary designed countershaft is provided.

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Precise regulation of position and attitude (roll, pitch and yaw) is one of the most critical tasks to be considered in designing controllers for quadrotor types of Unmanned Aerial Vehicles (UAVs). The MATLAB-based simulator for quadrotors using PD-feedback control to achieve stabilization was developed. MATLAB/Simulink models are used to design and validate the control algorithms and the simulation results are presented. The quadrotor non-linear dynamics and kinematics were implemented using MATLAB Sfunction to generate a continuous state output. The simulation results are presented graphically and quantitatively. The developed MATLAB GUI interface is robust and interactive to implement the different control algorithms under various operating conditions.

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