Research on Shape-Performance Integrated Monitoring Technology for Planetary Gearboxes Based on the Integration of Artificial Intelligence, Finite Element Analysis, and Multibody Dynamics Simulation.

Yanping Cui, Boshuo An, Zhe Wu, Ziao Shang, Xuanrui Zhang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 citing paper in PubMed.

Finite Element Analysis in Polymer-Based Adhesive Dental Restorations: A Narrative Review on Material Behavior, Methodological Validity, and Clinical Relevance.Polymers · 2026
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5 · Who and what money

Authors and funding

5 authors.

Yanping CuiSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Boshuo AnSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Zhe WuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Ziao ShangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Xuanrui ZhangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Funding

Central Guidance on Local Science and Technology Development Fund of Hebei Province Grant No. 246Z4502GNational Defense Science and Technology Industry Bureau Vehicle Power Special Project VTDP-3202Research Project of Hebei Education Department Grant No. CXY2025041Shijiazhuang science and Technology Bureau Basic Research Project of Shijiazhuang University in Hebei Province Grant No. 241791157A

6 · The paper itself

Abstract

To address gear tooth damage and the difficulty of acquiring performance data under high-speed and high-load operating conditions of planetary gearboxes, a digital twin-based system for operational state recognition and performance prediction is proposed, integrating morphological and functional characteristics. Driven by experimental data, the system incorporates finite element analysis, multibody dynamics simulation, artificial intelligence algorithms, and 3D visualization to achieve a virtual mapping of the gearbox's geometric configuration, structural properties, and dynamic behavior. Structural performance is represented using finite element and dynamic simulation techniques combined with texture mapping, visualized through color gradients; dynamic performance is captured through multibody dynamics simulations and stored in a time-series database, presented as sequential images. The integrated system is constructed by combining a structural performance surrogate model, a system-driven model, and a dynamic performance database, enabling comprehensive functionality. Results demonstrate that the maximum error of the structural performance model is 3%, occurring only under specific working conditions, with negligible impact on the overall meshing performance evaluation of the sun gear. The maximum error in dynamic performance prediction is 1.68%, showing strong consistency with experimental data.

Indexed as

artificial intelligencemorphology–performance integrationmultibody dynamics analysisplanetary gearboxstructural performance analysis

Identifiers

PMID41013048

DOI10.3390/s25185810

PMCPMC12473379

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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.