Development of 3D modeling methods of crusher wear parts
Heshmati, Mohammad Reza (2024)
Diplomityö
Heshmati, Mohammad Reza
2024
School of Energy Systems, Konetekniikka
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024040815310
https://urn.fi/URN:NBN:fi-fe2024040815310
Tiivistelmä
This thesis explores using the algorithmic feature in generative design for the 3D modeling development with complex patterned inserts like those found in the Metso crusher wear parts. The modeling method includes predetermined specifications for insert features, like length and diameter. The logic editor uses a variety of nodes to establish design criteria, such as the distance between inserts, the amount of back thickness left, and the surface area of each insert. These methods include the use of grids, lists, equations, and conditions. Comparing algorithmic and manual modeling techniques produces promising results, especially when using the algorithmic feature. This creative approach not only saves the organization a great deal of time and money but also gives designers a chance to improve their algorithm design skills. It also makes it possible to apply this strategy to different models with different sizes and geometries but with comparable design objectives.
