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齿轮传动系统动力学仿真软件开发及动力学优化数据集

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国家基础学科公共科学数据中心2024-03-05 收录
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https://www.nbsdc.cn/general/dataDetail?id=64edc9b5bb16e07753c35d70&type=1
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为了研究齿侧间隙与轴承间隙的耦合作用,设计和开发了齿轮传动系统动力学仿真软件,底层逻辑在能够支持MATLAB软件的环境中进行编写,可视化界面在Visual studio(c#)中编写完成。具有可视化界面设置、参数输入、动力学计算、性能仿真、动态响应计算、图像绘制、数据管理等功能。并对于齿轮传动系统动力学仿真软件的功能分区、使用界面的设计、底层逻辑设计以及仿真结果与测量之间的偏差大小进行说明。该齿轮传动系统动力学仿真软件为S2500、HCQ300和W2002XJ型号多级齿轮传动系统产品的性能优化,提供了有力的分析工具。通过三个产品分别研究齿轮传递误差、啮合阻尼系数以及支撑刚度系数对齿轮传动系统非线性动力学特性的影响,进而说明软件仿真获取动态响应及产品优化的内容。

To investigate the coupling effect between gear backlash and bearing clearance, a dynamic simulation software for gear transmission systems was designed and developed. The underlying logic of the software was coded in an environment compatible with MATLAB, while its visual interface was developed using Visual Studio (C#). The software offers multiple functions including visual interface configuration, parameter input, dynamic computation, performance simulation, dynamic response calculation, graph plotting, and data management. This work also elaborates on the functional zoning of the gear transmission system dynamic simulation software, the design of its user interface, the underlying logic design, as well as the deviation between simulation results and measured data. The developed dynamic simulation software for gear transmission systems serves as a powerful analytical tool for performance optimization of multi-stage gear transmission system products with the models S2500, HCQ300 and W2002XJ. By employing these three products, the individual effects of gear transmission error, meshing damping coefficient and support stiffness coefficient on the nonlinear dynamic characteristics of the gear transmission system are studied, thereby illustrating the content of acquiring dynamic responses via software simulation and product optimization.
提供机构:
北京航空航天大学
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含齿轮传动系统动力学仿真软件的开发及优化内容,主要用于研究齿侧间隙与轴承间隙的耦合作用,支持MATLAB和Visual Studio环境,具有参数输入、动力学计算、性能仿真等功能。数据集为S2500、HCQ300和W2002XJ型号多级齿轮传动系统产品的性能优化提供了分析工具,并研究了齿轮传递误差、啮合阻尼系数及支撑刚度系数对非线性动力学特性的影响。
以上内容由遇见数据集搜集并总结生成
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