Issue |
Manufacturing Rev.
Volume 11, 2024
|
|
---|---|---|
Article Number | 3 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/mfreview/2023017 | |
Published online | 06 February 2024 |
Research article
Influence of cut parameters on mesh performance of spiral bevel gear by duplex spread blade method
1
School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang Henan 471003, China
2
Zhejiang Tongli Transmissions Technology Co., Ltd, Wenzhou Zhejiang 325000, China
* e-mail: gll0379@haust.edu.cn
Received:
24
October
2023
Accepted:
1
December
2023
Spiral bevel gears are key components in many mechanical transmission systems, and their production is always of great interest to industry, and hence, subjected to intensive research widely. The present machining methods for manufacturing spiral bevel gears, including the so called five-cut method and completing method, have drawbacks such as low processing efficiency, requiring complex calculations and high requirements on the machine-tool performance, respectively. To solve the above problems, the duplex spread blade method is proposed. Firstly, geometric parameters and machine setting parameters were comprehensively considered, and then a modified reference point was selected to deduce the machine setting parameters. Tooth contact analysis (TCA) model considering misalignment was established to check meshing performance, the influence of cutter parameters and misalignment on meshing performance was studied. As the research reveals that the cutter radius has an effect on the bias of contact trace, cutter number has an impact on the position of contact pattern. The experimental results are consistent with the theoretical which verified the effectiveness and feasibility of the proposed method. The results of this paper have a guiding significance and enrich the machining method for spiral bevel gear.
Key words: Spiral bevel gear / duplex spread blade method / tooth contact analysis / cutting experiment / mesh performance
© L. Geng et al., Published by EDP Sciences 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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