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The use of reverse engineering to create FEM model of spiroid gears

100%

Sikorska-Czupryna S. , Mazurkow A.

Advances in Manufacturing Science and Technology

2020

tom Vol. 44, nr 3

71--73

This paper describes the process of creating a digital model of spiroid gears used in the defense industry. This is where the precise measurement of the parts with the highest requirements for accuracy is of great importance. The construction of a computational model of a physical object was carried out using an optical three-dimensional scanner. Based on the cloud of points obtained in the process of scanning, a spatial digital model reflecting the geometry of an existing element was developed. Polygonization and mesh reconstruction allowed to create a finite element method model that enabled the precise reproduction of the scanned object. The created model was subsequently used to conduct appropriate analysis and simulation to verify the correctness and possible modification of the construction of both elements of spiroid gears: worm thread and face gear

Optimization of Quality Control Processes Using the NPGA Genetic Algorithm

70%

Chmielowiec A. , Sikorska-Czupryna S. , Klich L. , Woś W. , Kuraś P.

Advances in Science and Technology. Research Journal

2024

tom Vol. 18, no 7

264--276

In the article, the problem of multi-criteria optimization of quality control mechanisms is analyzed. The presented method assumes the use of the NPGA genetic algorithm to simultaneously manage costs and the level of detecting non-conformities. The main assumption of the presented approach is to treat individual quality control procedures as vectors, whose elements are probability generating functions of defect detection. Each of these procedures generates certain operational costs and covers specific types of defects within its scope. The task of the presented algorithm is to indicate which procedure and to what extent should operate to ensure an appropriate level of non-conformity detection while minimizing costs. The article presents the theoretical foundations of the developed algorithm and the results of its implementation. The software has been developed in C++ with a particular focus on performance aspects. Its essence lies in the implementation of data structures introduced in the theoretical part, as well as methods for their rapid processing. Thanks to this approach, the entire program is scalable and can be used to solve multidimensional optimization problems. The presented approach may also find application in other areas of enterprise management. This will be possible primarily in cases where the effectiveness of procedures or devices is primarily evaluated based on probability. Therefore, the presented methods can provide effective optimization of other areas related to enterprise management.