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梯形螺纹的多因素探索与多目标优化

Multifactor exploration and multi-objective optimization of trapezoidal threads.

作者信息

Zhou Yongchao, Yan Zhihua, Zhou Peng, Zheng Yanping

机构信息

School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450066, Henan, China.

Hunan University of Science and Technology, Xiangtan, 411201, Hunan, China.

出版信息

Sci Rep. 2025 Apr 8;15(1):12020. doi: 10.1038/s41598-025-94144-5.

Abstract

Trapezoidal thread, as a key component in mechanical transmission, is widely used in many industries, and its parameter optimization is crucial to enhance the performance of threaded transmission mechanism. Taking the screw nut mechanism of a company's screw elevator as an entry point, this paper thoroughly researches the specific effects of the four main parameters of trapezoidal threads-pitch, number of thread heads, tooth angle and tooth height-on the structural performance. Dynamic simulation using ANSYS software, combined with orthogonal experimental design, systematically analyzed the role of these parameters on the dynamic performance of structural components. Through the polar analysis, the order of importance of each parameter was determined, and the modal frequency and transport efficiency were introduced as the optimization objectives, and the optimal parameter combination scheme was finally derived. The results show that the optimized structural equivalent stress is reduced by 29.1%, the first-order modal frequency is increased by 24.5%, and the transport rate is increased by 11.1%. This study enriches the results in the field of threading and provides theoretical support for the future development and safe application of trapezoidal threads in screw drives.

摘要

梯形螺纹作为机械传动中的关键部件,在众多行业中广泛应用,其参数优化对于提升螺纹传动机构的性能至关重要。本文以某公司螺旋升降机的丝杠螺母机构为切入点,深入研究梯形螺纹的四个主要参数——螺距、螺纹头数、牙型角和牙高——对结构性能的具体影响。利用ANSYS软件进行动态仿真,并结合正交试验设计,系统分析了这些参数对结构部件动态性能的作用。通过极差分析确定了各参数的重要性顺序,引入模态频率和输送效率作为优化目标,最终得出最优参数组合方案。结果表明,优化后的结构等效应力降低了29.1%,一阶模态频率提高了24.5%,输送速率提高了11.1%。本研究丰富了螺纹领域的研究成果,为梯形螺纹在螺旋传动中的未来发展和安全应用提供了理论支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51b6/11978922/c7ffd37b13ea/41598_2025_94144_Fig1_HTML.jpg

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