Multifactor exploration and multi-objective optimization of trapezoidal threads
Yongchao Zhou, Zhihua Yan, Peng Zhou, Yanping Zheng
TL;DR
This paper optimizes trapezoidal thread parameters to improve mechanical performance in screw elevators.
Contribution
A novel multi-objective optimization approach for trapezoidal thread design using simulation and experimental analysis.
Findings
Optimized design reduced structural equivalent stress by 29.1%.
First-order modal frequency increased by 24.5% with improved transport efficiency.
Parameter importance was ranked using polar analysis and dynamic simulation.
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…
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Taxonomy
TopicsAdvanced machining processes and optimization · Hydraulic and Pneumatic Systems · Mechanics and Biomechanics Studies