Virtual metrology of helical gears reconstructed from point clouds
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Grupo de Investigación de Transmisiones Avanzadas de EngranajesÁrea de conocimiento
Ingeniería MecánicaPatrocinadores
The authors express their deep gratitude to the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), the Spanish State Research Agency (AEI) and the European Fund for Regional Development (FEDER) for the financial support of research project DPI2017-84677-P.Fecha de publicación
2021-06-01Editorial
SpringerCita bibliográfica
Gonzalez-Perez, I., Guirao-Saura, P.L., Fuentes-Aznar, A. (2021). Virtual Metrology of Helical Gears Reconstructed from Point Clouds. In: Barmina, N., Trubachev, E. (eds) Gears in Design, Production and Education. Mechanisms and Machine Science, vol 101. Springer, Cham. https://doi.org/10.1007/978-3-030-73022-2_5Resumen
Application of non-contact metrology constitutes a promising technique that may complement the application of contact metrology for gear inspection. Point clouds with the coordinates of the gear tooth surfaces can be generated as a rate of millions of points per second. These point clouds obtained from non-contact metrology machines in combination with computational procedures to regenerate the gear tooth surfaces permit the determination of the most relevant tooth flank deviations to assess the flank tolerance classification according to the ISO Standard 1328-1:2013. Computational procedures to predict each type of deviation for reconstructed helical gears from point clouds are presented and applied for inspection of two apparently similar helical gears measured and regenerated from their corresponding point clouds. The influence of application of a guided 3D point cloud filtering algorithm on the results of tooth contact analysis and class classification assessment of the reconstructed ...
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