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Applied Sciences
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Advances in Rotating Machinery: Design, Modeling, Manufacturing, Testing, and Operation
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Advances in Rotating Machinery: Design, Modeling, Manufacturing, Testing, and Operation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 3089

Special Issue Editor

Dr. Keun Ryu

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Hanyang University, Ansan 15588, Gyeonggi-do, Republic of Korea
Interests: turbomachinery rotordynamics; rotating machinery diagnostics and vibration; bearings, seals, and dampers for turbomachinery; advanced turbomachinery with Improved stability; cryogenic bearings for liquid rocket engine turbopumps; oil-free turbomachinery; rocket engine turbopumps; electrically assisted turbomachinery; automotive turbochargers; high-speed electric motors/generators; space tribology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Rotating machinery or turbomachinery is a machine with a rotating component that transfers energy to a fluid or vice versa. Consequently, in a turbomachine there is energy transfer between the fluid and the rotor through dynamic interaction.

The current Special Issue invites archival-quality papers in the broad aspects of component and system technologies for Rotating Machinery. We hope to establish a collection of papers that will be of interest to scholars in the field.  Contributions in the form of full papers, reviews, and communications about the related topics are very welcome.

Dr. Keun Ryu
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 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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • turbomachinery
  • aircraft engines
  • compressors
  • computational fluid dynamics (CFD) analysis
  • controls, diagnostics, instrumentation, and measurement techniques
  • heat transfer and thermal management
  • new propulsion and power systems
  • steam turbines
  • structures and dynamics
  • rotordynamics
  • machine components in turbomachinery
  • aerodynamic design, analysis, and test of compressor and turbine blading
  • compressor stall and surge
  • aeromechanical instabilities

Published Papers (2 papers)

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Research

16 pages, 3148 KiB  
Article
Natural Characteristics Analysis of a Dual-Rotor System with Nonparametric Uncertainty
by Hangfei Wu, Baoguo Liu, Yanxu Liu and Wei Feng
Appl. Sci. 2022, 12(24), 12573; https://doi.org/10.3390/app122412573 - 08 Dec 2022
Cited by 2 | Viewed by 854
Abstract
In order to evaluate the impacts of parameter uncertainty and nonparametric uncertainty on the natural characteristics of a dual-rotor system, a nonparametric probabilistic method based on random matrix theory is proposed. In this paper, a nonparametric Riccati whole transfer model is derived based [...] Read more.
In order to evaluate the impacts of parameter uncertainty and nonparametric uncertainty on the natural characteristics of a dual-rotor system, a nonparametric probabilistic method based on random matrix theory is proposed. In this paper, a nonparametric Riccati whole transfer model is derived based on the maximum entropy principle and the random matrix theory. It is used to model a dual-rotor system with nonparametric uncertainty, as well as to calculate the natural characteristics of the system. Furthermore, the impacts of parameter uncertainty and nonparametric uncertainty on the natural characteristics at the intermediate support element and at the disk-shaft element are discussed using numerical simulations, and the results are compared with related references. The results show that at the same level of uncertainties, the effect of nonparametric uncertainty is often more significant than that of parameter uncertainty. The effects of uncertainties also increase with the level of uncertainties. The results of this paper provide a theoretical basis for the design of uncertain dual-rotor and multi-rotor systems. Full article
(This article belongs to the Special Issue Advances in Rotating Machinery: Design, Modeling, Manufacturing, Testing, and Operation)
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21 pages, 7691 KiB  
Article
Transmission Efficiency of Cycloid–Pinion System Considering the Assembly Dimensional Chain
by Ning Jiang, Shuting Wang, Aodi Yang, Wan Zhou and Jie Zhang
Appl. Sci. 2022, 12(23), 11917; https://doi.org/10.3390/app122311917 - 22 Nov 2022
Cited by 5 | Viewed by 1413
Abstract
The rotary vector reducer is the core component of industrial robots, and the transmission efficiency is undoubtedly an important indicator of transmission performance. In addition, the assembly dimensional chain leads to clearance between parts, which can have a certain impact on the transmission [...] Read more.
The rotary vector reducer is the core component of industrial robots, and the transmission efficiency is undoubtedly an important indicator of transmission performance. In addition, the assembly dimensional chain leads to clearance between parts, which can have a certain impact on the transmission efficiency. During previous studies, this effect was often ignored. Firstly, the cycloid tooth profile is a relatively large collection of points. Therefore, a more efficient tooth profile model is employed as the basis for the calculation. Secondly, the contact between the cycloid and the pinion is determined by experimental observation to be a point contact rather than a theoretical line contact. Moreover, the dynamics and friction loss models of the cycloid–pinion system are constructed. Finally, the assembly dimensional chain is introduced into the different structural designs. The clearance results were obtained with the extreme value method. The results show that the addition of the pinion sleeve allows the system to have a smoother drive process and a more efficient transmission; this was verified with ADAMS. Full article
(This article belongs to the Special Issue Advances in Rotating Machinery: Design, Modeling, Manufacturing, Testing, and Operation)
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