Coordinate measuring machines (CMMs) have been recognized as a powerful tool for inspection and measurement purposes. Maximum utilization of CMMs requires the development of an automated inspection planning system. A computeraided inspection planning (CAIP) system leads to minimization of the total time needed for inspection process and hence the overall cost of the final product. This work introduces a computer aided inspection system that reads a B-rep solid model in SAT format as an input and produces the final CMM program in DMIS format. The system includes the following: rule-based feature recognition module that identifies and extracts the necessary inspection features from the solid model, sampling strategy module to determine the number and the location of the needed measuring points on each inspection feature, accessibility analysis module to determine the number of probe orientations that can reach the measured points without collision, finally, a clustering module to minimize the total number of probe orientations need to fully inspect the entire part. All algorithms are developed using ACIS geometric kernel and object oriented programming using C++. The results are verified on CMM.

The Reverse Engineering industries has an increasing need for remanufacturing of worn out spare parts or spare parts with lost technical data like drawings or CAD models, in this project a new hybrid algorithm is proposed for the rigid registration of point clouds obtained from scanning of spare parts by a laser scanner. The hybrid algorithm is dividing the registration process into two stages called the coarse and fine registration, the coarse registration is performed by the Genetic Algorithm (GA) that yield an approximate transformation between the two point clouds, and then inherit its findings to the fine registration that is performed by the Interior Point method to reach the accurate transformation and the successful registration of the two point clouds. In this research two techniques for point clouds registration are applied, tested, evaluated and compared to each other. It was found that using the GA and Interior point method is a good alternative for registering point clouds. The objective of this work is to register two point clouds successfully with minimum error, and high reliability.

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One of the methods to decrease the technology gap between different countries and to transfer complex technologies is reverse engineering. In Reverse engineering of mechanical parts it becomes necessary to obtain a geometric model of a part either to modify the existing design or to analyze it using schemes such as the Finite Element Method (FEM). The objective of this work is to develop and construct the solid model of an existing machine part by the geometric analysis of three copies of this part. Shape and dimensions of the part are obtained using laser scanner arms and the probing mechanism of a Coordinate-Measuring Machine (CMM). Segmentation & surface fitting are conducted using Geomagic Studio 12 software and the solid models as well as the workshop drawings are generated on UGS NX 7.5 CAD software. Material analysis and mechanical testing are performed to identify the polymer from which the part is produced. The prototype of this part is constructed Using 3D rapid prototyping machine using the STL file of the produced CAD solid model. The final results of this work are the construction of the complete solid model of the part with all its features and dimensions as well as its material using reverse engineering techniques.

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