# Improved tooth contact analysis by using virtual gear twins – How helpful is AI for finding best gear design?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improved-tooth-contact-analysis-by-using-virtual-gear-twins-how-helpful-is-ai/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Berthold Schlecht,Tobias Schulze |
| Citations | 2 |
| DOI | 10.51202/9783181023556-203 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3118072036 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Tobias Schulze](https://scholariq.org/researchers/tobias-schulze/)

## Paper journal

- [VDI Verlag eBooks](https://scholariq.org/journals/vdi-verlag-ebooks/)

## Paper primary topic

- [Gear and Bearing Dynamics Analysis](https://scholariq.org/topics/gear-and-bearing-dynamics-analysis/)

## Paper topics

- [Gear and Bearing Dynamics Analysis](https://scholariq.org/topics/gear-and-bearing-dynamics-analysis/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.