Random Vibration Evaluation and Optimization of a Flexible Positioning Platform Considering Power Spectral Density.

Lufan Zhang, Mengyuan Hu, Heng Yan, Hehe Sun, Zhenghui Zhang, Peijuan Wu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Lufan ZhangSchool of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lianhua Street, Zhengzhou 450001, China.

Mengyuan HuSchool of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lianhua Street, Zhengzhou 450001, China.

Heng YanSchool of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lianhua Street, Zhengzhou 450001, China.

Hehe SunSchool of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lianhua Street, Zhengzhou 450001, China.

Zhenghui ZhangSchool of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lianhua Street, Zhengzhou 450001, China.

Peijuan WuSchool of Mechanical and Electrical Engineering, Henan University of Technology, 100 Lianhua Street, Zhengzhou 450001, China.

Funding

Key Scientific Research Projects of Institutions of Higher Learning in Henan Province 26B460006National Youth Science Foundation of China；The fund of Henan Key Laboratory of Superhard Abrasives and Grinding Equipment, Henan University of Technology . (51705132) (52405307)(JDKFJJ2024007)

6 · The paper itself

Abstract

The flexible positioning platform is a critical structural component in the ultra-high acceleration macro-micro motion platform, enabling precise positioning across multiple scales. However, under high-frequency start-stop cycles and prolonged multi-condition operation, it is prone to fatigue damage induced by random vibrations, which poses a threat to system reliability. This study proposes a method for evaluating and optimizing the platform's performance under random vibration based on power spectral density (PSD) analysis. In accordance with the IEC 60068-2-64 standard, representative load spectra from Tables A.8 and A.6 were selected as excitation inputs. Frequency-domain analyses of stress, strain, and displacement were conducted using ANSYS Workbench 2022R1 in conjunction with the nCode platform, incorporating the Gaussian three-sigma probability interval. The results reveal that stress and deformation are highly concentrated in the hinge region, indicating a structural vulnerability. Fatigue life predictions were carried out using the Dirlik method and Miner's linear damage rule under various PSD loading conditions. The findings demonstrate that hinge stiffness is a key factor influencing vibration resistance and service life. This research provides theoretical support for the design optimization of flexible structures operating in complex random vibration environments.

Indexed as

fatigue lifeflexible positioning platformpower spectral densityrandom vibrationultra-high acceleration macro–micro motion platform

Identifiers

PMID41600310

DOI10.3390/s26020514

PMCPMC12845997

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.