# A Novel Method for Obtaining Analytical Parameters Based on Double-Flank Measurement

**Authors:** Xiaoyi Wang, Mingkang Liu, Tianyang Yao, Kunlei Zheng, Chengxiang Zhao, Longyuan Xiao, Dongjie Zhu, Zhaoyao Shi

PMC · DOI: 10.3390/s24092734 · Sensors (Basel, Switzerland) · 2024-04-25

## TL;DR

This paper introduces new simulation and solving methods to extract analytical parameters from double-flank gear measurements, improving their usefulness for evaluating gear performance.

## Contribution

The paper proposes a novel simulation and solving method to obtain analytical parameters from double-flank gear measurements.

## Key findings

- The simulation method can generate double-flank measurements without random error using collision detection.
- The solving method accurately calculates profile deviations with less than 0.03 μm difference in experiments.
- The proposed methods enhance the value of double-flank measurements for gear evaluation.

## Abstract

Double-flank measurement is the most commonly used method for full inspection of mass-produced gears and has high measurement efficiency, but it cannot obtain the analytical parameters and is not helpful enough to evaluate the NVH performance of the gears. Based on the double-flank rolling tester with a new principle, a simulation method for double-flank measurement and a solving method for analytical parameters are proposed. Using the simulation method, the double-flank measurements without random error can be obtained through the collision detection algorithm. The solving method uses the iteration to obtain the minimum rolling length of each position of the tooth surface, then obtains the analytical parameters of the gear. In the experiments, the difference between the profile deviations obtained by the solving method and superimposed in the simulation method is less than 0.03 μm. The experiment results have verified the correctness of the simulation method and the solving method. These methods can greatly improve the value of double-flank measurement.

## Full-text entities

- **Diseases:** injury to people or property (MESH:C000719191)
- **Chemicals:** HP-O (MESH:C019427)

## Full text

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## Figures

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## References

28 references — full list in the complete paper: https://tomesphere.com/paper/PMC11085761/full.md

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Source: https://tomesphere.com/paper/PMC11085761