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Applied Sciences
Special Issues
Flow Regulation, Control Methods and Condition Monitoring in Hydraulic Systems
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Flow Regulation, Control Methods and Condition Monitoring in Hydraulic Systems

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1295

Special Issue Editors

Dr. Xiumei Liu

E-Mail Website
Guest Editor
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: hydraulic transmission and control; photoelectric detecting technique; state detection and fault diagnosis technique
Dr. Xiaoming Yuan

E-Mail Website
Guest Editor
Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, China
Interests: fluid transmission; optimized design; dynamics analysis; reliability assessment; intelligent control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Flow regulation, control methods and condition monitoring in hydraulic systems are driving progress in the field of hydraulics. This poses new challenges in the advancement of the high performance of electro-hydraulic control systems as well as their condition monitoring technology. Therefore, this Special Issue is intended for the presentation of new ideas and experimental results in the field of high-performance hydraulic components and systems, exploring design, service, and theory as well as practical use. 

Areas relevant to flow regulation, control methods and condition monitoring in hydraulic systems include, but are not limited to, fluid transmission, cavitation flow, flow-induced vibration and noise, structural design of new electrohydraulic proportional element, optimal design of hydraulic components, bionics techniques, flow field observation, performance testing and design methods, dynamic modeling and optimization of electromechanical hydraulic system, intelligent perception technology, energy recovery, reliability assessment, intelligent control, condition monitoring and fault diagnosis.

This Special Issue will publish high-quality, original research papers in the overlapping fields of: 

  • Fluid transmission;
  • Cavitation bubble flow;
  • Flow-induced vibration and noise;
  • Flow field observation method;
  • Bionic optimization design;
  • High-performance hydraulic components;
  • Dynamic modeling and optimization of the electromechanical hydraulic systems;
  • Intelligent control;
  • Reliability assessment;
  • Artificial intelligence, machine learning, and deep learning;
  • Dynamic modeling and optimization of the electromechanical hydraulic systems;
  • Condition monitoring and fault diagnosis.

Dr. Xiumei Liu
Dr. Xiaoming Yuan
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. 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

  • fluid transmission
  • cavitation bubble
  • flow-induced vibration and noise
  • valve
  • pump
  • motor
  • visual observation
  • bionics techniques
  • dynamics analysis
  • performance evaluation
  • intelligent control
  • condition monitoring
  • reliability assessment
  • fault diagnosis

Published Papers (1 paper)

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Research

15 pages, 3315 KiB  
Article
Research into a Marine Helicopter Traction System and Its Dynamic Energy Consumption Characteristics
by Tuo Jia, Tucun Shao, Qian Liu, Pengcheng Yang, Zhinuo Li and Heng Zhang
Appl. Sci. 2023, 13(22), 12493; https://doi.org/10.3390/app132212493 - 19 Nov 2023
Viewed by 859
Abstract
As countries attach great importance to the ocean-going navigation capability of ships, the energy consumption of shipborne equipment has attracted much attention. Although energy consumption analysis is a guiding method to improve energy efficiency, it often ignores the dynamic characteristics of the system. [...] Read more.
As countries attach great importance to the ocean-going navigation capability of ships, the energy consumption of shipborne equipment has attracted much attention. Although energy consumption analysis is a guiding method to improve energy efficiency, it often ignores the dynamic characteristics of the system. However, the traditional dynamic analysis method hardly considers the energy consumption characteristics of the system. In this paper, a new type of electric-driven helicopter traction system is designed based on the ASIST system. Combined with power bond graph theory, a system dynamic modeling method that considers both dynamic and energy consumption characteristics is proposed, and simulation analysis is carried out. The results indicate that the designed traction system in this study displays high responsiveness, robust, steady-state characteristics, and superior energy efficiency. When it engages with helicopter-borne aircraft, it swiftly transitions to a stable state within 0.2 s while preserving an efficient speed tracking effect under substantial load force, and no significant fluctuations are detected in the motor rotation rate or the helicopter movement velocity. Moreover, it presents a high energy utilization rate, achieving an impressive energy utilization rate of 84% per single working cycle. Simultaneously, the proposed modeling methodology is validated as sound and effective, particularly apt for the dynamic and power consumption analysis of marine complex machinery systems, guiding the high-efficiency design of the transmission system. Full article
(This article belongs to the Special Issue Flow Regulation, Control Methods and Condition Monitoring in Hydraulic Systems)
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