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Machines
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Advances in Precision Mechanical Transmission Systems: Design, Dynamics, and Applications
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Advances in Precision Mechanical Transmission Systems: Design, Dynamics, and Applications

A Special Issue of Machines (ISSN 2075-1702) belonging to the section "Machine Design and Theory".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 978

Editor

Dr. Hui Guo

E-Mail Website
Guest Editor
Shaanxi Key Laboratory of Gear Transmission, Northwestern Polytechnical University, Xi’an 710072, China
Interests: gear transmission; structure dynamics

Special Issue Information

Dear Colleagues,

This Special Issue will focus on the design, manufacturing technology, dynamics, and detection of mechanical transmission systems; it aims to provide a platform to communicate with the vast number of mechanical science and technology workers.

In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following topics:

  • Gear,
  • Manufacturing,
  • Dynamics,
  • Detection technology.

Dr. Hui Guo
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • gear
  • manufacturing
  • dynamics
  • detection technology

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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34 pages, 3608 KB  
Article
Chebyshev Surrogate Modeling and Robust Multi-Objective Optimization of Dynamic Transmission Error in Harmonic Drives Under Parameter Uncertainty
by Qiushi Hu, Haofei Zhang, Yanfei Wang and Kelong Zhao
Machines 2026, 14(9), 1000; https://doi.org/10.3390/machines14091000 - 2 Sep 2026
Viewed by 302
Abstract
To address the influence of multi-source probabilistic uncertain parameters on the dynamic transmission error (DTE) of harmonic drives, this paper proposes a robust DTE modeling and multi-objective optimization method. First, a Chebyshev surrogate model is constructed by integrating the measured static transmission error [...] Read more.
To address the influence of multi-source probabilistic uncertain parameters on the dynamic transmission error (DTE) of harmonic drives, this paper proposes a robust DTE modeling and multi-objective optimization method. First, a Chebyshev surrogate model is constructed by integrating the measured static transmission error (STE) probability model, system dynamic equations, and identified nominal parameters. Prototype validations show a prediction mean absolute percentage error (MAPE) of 8.14% and a mean absolute error (MAE) of 7.761″. Meanwhile, compared to the original dynamic equations, the surrogate model reduces the single-evaluation time from 0.147 s to 0.000003 s (a 49,000-fold acceleration), effectively overcoming the efficiency bottleneck of numerical integration in dynamic response evaluation. Secondly, to achieve the collaborative optimization of system transmission accuracy and anti-disturbance robustness, a Chebyshev–AMP–MOPSO algorithm integrating a diversity entropy state-driven weight and a pyramid-hierarchical dual-track search strategy is proposed, which improves upon the issues of local convergence and uneven solution set distribution in the classical MOPSO and NSGA-II algorithms. On this basis, parameter optimization under three decision preferences was completed. The accuracy-first scheme reduces the DTE mean by 3.67%, the robustness-first scheme reduces the standard deviation by 9.36%, and the balanced scheme improves both. Finally, comparative tests on five prototypes show the actual dynamic parameters’ deviation (Di) relative to the theoretical optimal configuration exhibits a consistent corresponding trend with measured DTE means. Prototypes with the minimum (Di = 0.365) and maximum (Di = 0.474) deviations yield the lowest and highest measured means, respectively, matching theoretical optimization expectations. Full article
(This article belongs to the Special Issue Advances in Precision Mechanical Transmission Systems: Design, Dynamics, and Applications)
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Review

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34 pages, 6991 KB  
Review
A Review of Research on Travel Error in Planetary Roller Screw Mechanisms
by Xiaoman Li, Li Zu, Yang Xu, Haonan Cai, Qizhi Wang, Haoran Jin and Huangkai He
Machines 2026, 14(9), 1035; https://doi.org/10.3390/machines14091035 - 11 Sep 2026
Viewed by 188
Abstract
Planetary roller screw mechanisms (PRSMs) are critical transmission components in high-end equipment and precision electromechanical systems, and their travel error directly affects motion accuracy and operational stability. This review systematically examines the main sources and research progress of PRSM travel error, including manufacturing [...] Read more.
Planetary roller screw mechanisms (PRSMs) are critical transmission components in high-end equipment and precision electromechanical systems, and their travel error directly affects motion accuracy and operational stability. This review systematically examines the main sources and research progress of PRSM travel error, including manufacturing and geometric errors, installation errors, load and thermal deformation errors, and service and environmental factors. It further reviews the current state of research on travel error models, with emphasis on travel error modeling and dominant error identification. Existing measurement methods are classified into static measurement, dynamic measurement based on linear encoders or laser interferometers, machine vision measurement, and auxiliary methods for specific operating conditions, and are compared in terms of accuracy, applicable test objects, and engineering limitations. The review shows that current studies have established an important basis for travel error prediction, compensation, and test system development, but limitations remain in experimental validation, dedicated test rigs, component-level measurement of roller external raceways and nut internal raceways, and unified evaluation standards. Future research should develop specialized measurement systems that consider multi-contact characteristics, representative loading conditions, backlash elimination, error separation, and data compensation to support high-precision PRSM applications. Full article
(This article belongs to the Special Issue Advances in Precision Mechanical Transmission Systems: Design, Dynamics, and Applications)
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