This article presents a model of the geometry of teeth profiles based on the path of contact definition. The basic principles of the involute and convex–concave teeth profile generation are described. Due to the more difficult manufacturing of the convex–concave gear profile in comparison to the involute one, an application example was defined that suppressed this disadvantage, namely a planetary gearbox with plastic-injection-molded gears commonly used in vehicle back-view mirror positioners. The contact pressures and the slide ratios of the sun, planet, and ring gears with both teeth profile variants were observed and the differences between the calculated parameters are discussed.

Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic designs. But, while a vast body of work has focused on generative algorithms for raster images, only a handful of options exists for vector graphics. One can always rasterize the input graphic and resort to image-based generative approaches, but this negates the advantages of the vector representation. The current alternative is to use specialized models that require explicit supervision on the vector graphics representation at training time. This is not ideal because large-scale highquality vector-graphics datasets are difficult to obtain. Furthermore, the vector representation for a given design is not unique, so models that supervise on the vector representation are unnecessarily constrained. Instead, we propose a new neural network that can generate complex vector graphics with varying topologies, and only requires indirect supervision from readily-available raster training images (i.e., with no vector counterparts). To enable this, we use a differentiable rasterization pipeline that renders the generated vector shapes and composites them together onto a raster canvas. We demonstrate our method on a range of datasets, and provide comparison with state-of-the-art SVG-VAE and DeepSVG, both of which require explicit vector graphics supervision. Finally, we also demonstrate our approach on the MNIST dataset, for which no groundtruth vector representation is available. Source code, datasets and more results are available at http://geometry. cs.ucl.ac.uk/projects/2020/Im2Vec/.

The aim of the presented study was to perform a global sensitivity analysis of various design parameters affecting the lost motion of the harmonic drive. A detailed virtual model of a harmonic drive was developed, including the wave generator, the flexible ball bearing, the flexible spline and the circular spline. Finite element analyses were performed to observe which parameter from the harmonic drive geometry parameter group affects the lost motion value most. The analyses were carried out using 4% of the rated harmonic drive output torque by the locked wave generator and fixed circular spline according the requirements for the high accuracy harmonic drive units. The described approach was applied to two harmonic drive units with the same ratio, but various dimensions and rated power were used to generalize and interpret the global sensitivity analysis results properly. The most important variable was for both harmonic drives the offset from the nominal tooth shape.

This paper provides view of current trends in the field of testing and numerical analysis of dynamic loading structures. It describes what is the role of structure dynamic characteristic analysis in the management of the structures construction and maintenance in power plant industry. The main objective of this study is the dynamic analysis of power plant turbo– generator foundation structure (TGFS) of electrical industry operation. Main purpose of performed study in 2017 was to check dynamic stiffness TGFS after fifty years TG (100 MW) performance which then enabled to prepare relevant data for making design renovation and strengthening of the TGSF.

Cycloidal (also called epicyclical or convex-concave) gears are used less often than common involute gears, which are very easy to manufacture and can be modified by corrections to the gear profile. Cycloidal gears are very sensitive to the proper axial distance between the pinion and the gear. The main advantage of convex-concave gears is the lowering of the contact pressure due to teeth flanks meshing and also the lowering of the slide ratios compared to involute gears. The calculation of the selected geometrical parameters and the contact pressure between the teeth flanks of the cycloidal gearing is described in the presented article.