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Machines
Special Issues
Advancements in Mechanical Power Transmission and Its Elements
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Advancements in Mechanical Power Transmission and Its Elements

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 3197

Special Issue Editors

Dr. Gang Li

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Mississippi State University, 479-1 Hardy Road, Starkville, MS 39762, USA
Interests: design of gears; marine renewable energy; wind energy; advanced control theory; mechatronics; control; drivetrain; mechanism design; wear; dynamics; vibration
Prof. Dr. Weidong Zhu

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Interests: dynamics; vibration; control; structural health monitoring; renewable energy; metamaterials; infinitely variable transmission
Dr. Yawen Wang

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
Interests: gear noise/vibration; structural dynamics; vibro-acoustics; active noise and vibration control, automotive NVH (noise, vibration & harshness); electro-mechanical system dynamics; data-driven condition monitoring and prognostics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jing Wei

E-Mail Website
Guest Editor
College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China
Interests: gear transmission system design theory; drivetrain design technology; gear reliability; gear manufacturing; electromechanical transmission; advanced control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mechanical power transmission plays a pivotal role in various industries, enabling the efficient transfer of power from a source to a driven load. The continuous advancement of technologies and innovative elements in this field has revolutionized the performance, reliability, and sustainability of power transmission systems.

This Special Issue aims to collate research that addresses the recent developments and emerging trends in mechanical power transmission, focusing on the advancements in its elements and the integration of novel technologies. It seeks to provide a comprehensive platform for researchers and industry professionals to share their knowledge, insights and experiences in this pivotal area.

Potential subtopics for this Special Issue include, but are not limited to, the following:

Next-generation Gearing Systems:

  • Design optimization of gears for improved efficiency and noise reduction.
  • Advanced materials and manufacturing techniques for high-performance gears.
  • Advanced tooth contact analysis and dynamic analysis of gear systems.
  • Lubrication of gear systems.

Bearings and Rolling Element Technologies:

  • Novel bearing designs for enhanced load capacity and reduced friction losses.
  • Application of advanced materials in bearings for increased durability and reliability.
  • Development of smart bearings with condition monitoring capabilities.

Innovative Drivetrain Designs:

  • High-strength materials and composite technologies for improved drivetrain reliability performance.
  • New control strategies for drivetrain.
  • Advancements in e-drive systems for electrical vehicles to enhance efficiency.
  • Integration of smart sensors and IoT for real-time monitoring and predictive maintenance.

Cutting-edge Couplings and Clutches:

  • Flexible coupling designs for misalignment compensation and vibration dampening.
  • Smart clutches and brakes with precise engagement and disengagement capabilities.
  • Electromagnetic couplings and clutches for efficient power transmission control.

Dr. Gang Li
Prof. Dr. Weidong Zhu
Dr. Yawen Wang
Prof. Dr. Jing Wei
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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

  • gears
  • bearings
  • drivetrain
  • clutches
  • dynamic analysis
  • control
  • condition monitoring
  • lubrication

Published Papers (3 papers)

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Research

15 pages, 4937 KiB  
Article
Feature Extraction of a Planetary Gearbox Based on the KPCA Dual-Kernel Function Optimized by the Swarm Intelligent Fusion Algorithm
by Yan He, Linzheng Ye and Yao Liu
Machines 2024, 12(1), 82; https://doi.org/10.3390/machines12010082 - 21 Jan 2024
Viewed by 913
Abstract
The feature extraction problem of coupled vibration signals with multiple fault modes of planetary gears has not been solved effectively. At present, kernel principal component analysis (KPCA) is usually used to solve nonlinear feature extraction problems, but the kernel function selection and its [...] Read more.
The feature extraction problem of coupled vibration signals with multiple fault modes of planetary gears has not been solved effectively. At present, kernel principal component analysis (KPCA) is usually used to solve nonlinear feature extraction problems, but the kernel function selection and its blind parameter setting greatly affect the performance of the algorithm. For the optimization of the kernel parameters, it is very urgent to study the theoretical modeling to improve the performance of kernel principal component analysis. Aiming at the deficiency of kernel principal component analysis using the single-kernel function for the nonlinear mapping of feature extraction, a dual-kernel function based on the flexible linear combination of a radial basis kernel function and polynomial kernel function is proposed. In order to increase the scientificity of setting the kernel parameters and the flexible weight coefficient, a mathematical model for dual-kernel parameter optimization was constructed based on a Fisher criterion discriminant analysis. In addition, this paper puts forward a swarm intelligent fusion algorithm to increase this method’s advantages for optimization problems, involving the shuffled frog leaping algorithm combined with particle swarm optimization (SFLA-PSO). The new fusion algorithm was applied to optimize the kernel parameters to improve the performance of KPCA nonlinear mapping. The optimized dual-kernel function KPCA (DKKPCA) was applied to the feature extraction of planetary gear wear damage, and had a good identification effect on the fuzzy damage boundary of the planetary gearbox. The conclusion is that the DKKPCA optimized by the SFLA-PSO swarm intelligent fusion algorithm not only effectively improves the performance of feature extraction, but also enables the adaptive selection of parameters for the dual-kernel function and the adjustment of weights for the basic kernel function through a certain degree of optimization; so, this method has great potential for practical use. Full article
(This article belongs to the Special Issue Advancements in Mechanical Power Transmission and Its Elements)
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22 pages, 8263 KiB  
Article
Research on the Hobbing Processing Method of Marine Beveloid Gear
by Jianmin Wen, Haoyu Yao, Hui Li and Bindi You
Machines 2024, 12(1), 35; https://doi.org/10.3390/machines12010035 - 04 Jan 2024
Viewed by 925
Abstract
Due to the particular structure of the beveloid gear, it cannot be directly hobbed by an ordinary gear hobbing machine. The existing processing method is complex and has a high cost. Therefore, the mass production and industrialization of beveloid gears are limited. To [...] Read more.
Due to the particular structure of the beveloid gear, it cannot be directly hobbed by an ordinary gear hobbing machine. The existing processing method is complex and has a high cost. Therefore, the mass production and industrialization of beveloid gears are limited. To improve the machining efficiency and accuracy of processing beveloid gears, we proposed a hobbing method via the modification of ordinary hobbing machines. At first, we completed the derivation and calculation of the relevant processing parameters of the beveloid gear based on the study of the structural characteristics of the beveloid gear and the principle of hobbing machining. Then, we proposed and designed a beveloid gear hobbing method, and the modification of the ordinary hobbing machine was completed by using a hanging wheel mechanism in synchronous belt type. Finally, we completed the actual hobbing of the beveloid gear, and the feasibility of the proposed method was verified. After that, we analyzed the machining error of the trial-produced beveloid gear; the results showed that the accuracy of the trial-produced beveloid gear met the 6-level standard, which also verified the accuracy of the proposed method. Full article
(This article belongs to the Special Issue Advancements in Mechanical Power Transmission and Its Elements)
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15 pages, 2875 KiB  
Article
Multi-Point Control for Face-Milled Spiral Bevel Gears with a Predesigned Fourth-Order Motion Curve
by Yuhui Liu, Liping Chen and Gang Li
Machines 2024, 12(1), 34; https://doi.org/10.3390/machines12010034 - 03 Jan 2024
Viewed by 909
Abstract
This paper presents an ultimate motion methodology of a face-milling spiral bevel gear pair to synthesize the mating tooth surfaces with a predesigned fourth-order motion curve. The methodology is to control some contact points along the contact path in the process of tooth [...] Read more.
This paper presents an ultimate motion methodology of a face-milling spiral bevel gear pair to synthesize the mating tooth surfaces with a predesigned fourth-order motion curve. The methodology is to control some contact points along the contact path in the process of tooth contact analysis via application of an extended local synthesis which permits some transmission errors rather than zero at the concerned contact point. The modified offset motion correction is selected to demonstrate the proposed methodology. Applied torque corresponding to an elastic approach of 0.00635 mm at the mean contact point is calculated and the loaded tooth contact analysis is performed. Numerical results show that the extended local synthesis can effectively control the transmission errors on the predesigned fourth-order motion curve at arbitrarily predesigned contact points along the contact path of the spiral bevel gear pair. The tooth contact pattern for the actual tooth pair is scattered into three segments since the rotational motion of the driven gear at any instant angular position is dependent on the tooth pair with the least transmission error among the three adjacent tooth pairs. The actual tooth contact patterns of the spiral bevel gear pair become continuous when meshing tooth surfaces are elastically deformed. Full article
(This article belongs to the Special Issue Advancements in Mechanical Power Transmission and Its Elements)
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