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Applied Sciences
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Electromechanical Equipment Structure and Fatigue Reliability: Advances in Modeling and...
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Electromechanical Equipment Structure and Fatigue Reliability: Advances in Modeling and Testing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 2801

Special Issue Editors

Dr. Pengpeng Zhi

E-Mail Website
Guest Editor
Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313000, China
Interests: structural reliability; fatigue reliability; uncertainty quantification; performance modeling and testing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhonglai Wang

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: time-varying reliability analysis; reliability-based design optimization (RBDO); robust design; model validation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the demand for the reliability of electromechanical equipment such as aircraft, industrial robots, and high-speed trains increases, computer-aided modeling and testing have become extremely significant. With the help of advanced modeling/testing techniques and mathematical approaches/tools, currently, research interest is being directed towards new techniques to discover and understand the structure and fatigue reliability of electromechanical equipment. Specifically, failure occurs under the influence of multi-sources of uncertainty, including load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for modeling and testing contributions that address these issues on structure and fatigue reliability of electromechanical equipment are desired and expected.

This Special Issue aims to invite authors to submit full-length papers with original theoretical, numerical or experimental research contributions and innovative concepts that address all aspects of structure and fatigue reliability for electromechanical equipment. Additionally, applications in areas such as machine tools, construction machinery and electrical system are welcome.

Potential topics include, but are not limited to, the following:

  • Structural reliability;
  • Fatigue reliability;
  • Structural health monitoring;
  • Physics-based reliability modeling;
  • Structural design methodology;
  • Prognostics and health management;
  • Probabilistic physics of failure;
  • Fatigue testing;
  • Reliability-based design;
  • Durability and damage tolerance;
  • Smart martials and structure testing;
  • Uncertainty quantification and propagation;
  • Model verification and validation;
  • Digital twin modeling;
  • Time-varying reliability analysis;
  • Performance degradation modeling and analysis;
  • Risk analysis and safety of structural mechanics.

Dr. Pengpeng Zhi
Prof. Dr. Zhonglai Wang
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

  • structural reliability
  • fatigue reliability
  • modeling and testing
  • design optimization
  • failure analysis
  • time-varying reliability

Published Papers (3 papers)

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17 pages, 8967 KiB  
Article
Quasi-Static Force Analysis and Tooth Profile Modification Optimization of the Cycloid Speed Reducer
by Suzhen Wu, Ran Guo and Xuan Li
Appl. Sci. 2024, 14(2), 845; https://doi.org/10.3390/app14020845 - 19 Jan 2024
Cited by 1 | Viewed by 602
Abstract
This article proposes a new method for optimizing tooth profile modification amounts of cycloidal reducers. By optimizing transmission error and transmission ratio fluctuation, the objective optimization function is determined, and the influence of optimized modification amount on various transmission performances is studied. In [...] Read more.
This article proposes a new method for optimizing tooth profile modification amounts of cycloidal reducers. By optimizing transmission error and transmission ratio fluctuation, the objective optimization function is determined, and the influence of optimized modification amount on various transmission performances is studied. In addition, this article also conducted mechanical analysis on the cycloidal reducer and obtained the results of tooth contact force. The mathematical model for the mechanical analysis of the cycloidal reducer was established, and the variation law of force distribution between the internal and external gears of the cycloidal reducer was calculated. The results indicate that the needle tooth force, bearing force, transmission ratio, and transmission error obtained through the mechanical analysis model using optimized modification quantities tend to stabilize and exhibit periodic changes, which corresponds to the actual scenario. Full article
(This article belongs to the Special Issue Electromechanical Equipment Structure and Fatigue Reliability: Advances in Modeling and Testing)
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13 pages, 5065 KiB  
Article
Prediction of Remaining Fatigue Life of In-Service Bridge Cranes
by Yun Li, Afang Jin, Yong Dai, Dexin Yang and Bin Zheng
Appl. Sci. 2023, 13(22), 12250; https://doi.org/10.3390/app132212250 - 12 Nov 2023
Cited by 1 | Viewed by 724
Abstract
At present, bridge crane accidents occur frequently, resulting in significant losses and casualties; to ensure the safe use of in-service bridge cranes, it is necessary to predict the residual fatigue life of in-service bridge cranes. Firstly, a static analysis of the most dangerous [...] Read more.
At present, bridge crane accidents occur frequently, resulting in significant losses and casualties; to ensure the safe use of in-service bridge cranes, it is necessary to predict the residual fatigue life of in-service bridge cranes. Firstly, a static analysis of the most dangerous working conditions of in-service bridge cranes is carried out to find the fatigue failure point. Subsequently, a three-parameter Weibull distribution model is established for the characteristic parameters affecting the acquisition of the stress spectrum. Latin hypercubic sampling is applied to randomly sample the characteristic parameters to produce a random sample set of characteristic parameters for use in obtaining the stress–time history. The amplitude and mean values of the stress spectra are obtained by cycle counting using the rainflow counting method. Finally, Forman’s formula and Miner’s continuous damage accumulation theory were used to derive the remaining life prediction equations for constant and variable amplitude loads. Comparing the remaining life obtained from the simulation and test, the error is about 9.145%, which proves that the remaining life obtained from the simulation is more accurate. The results show that the combined method of simulation and testing is feasible and can predict the remaining life more accurately. In the past, the prediction of residual life was performed with either testing or simulation, which is long and costly. Simulation is low-cost and takes a short time, but the accuracy is not high. In this paper, the combination method of testing and simulation improves the efficiency of production and reduces the cost of use. Full article
(This article belongs to the Special Issue Electromechanical Equipment Structure and Fatigue Reliability: Advances in Modeling and Testing)
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14 pages, 4446 KiB  
Article
Reliability Analysis of a Three-Engine Simultaneous Pouring Control System Based on Bayesian Networks Combined with FMEA and FTA
by Zhaoxia Cui, Minghai Zheng, Jin Wang and Jiang Liu
Appl. Sci. 2023, 13(20), 11546; https://doi.org/10.3390/app132011546 - 21 Oct 2023
Cited by 1 | Viewed by 1064
Abstract
Pouring is an important process in the production of solid propellant rocket engines, and usually, the cost of a solid propellant rocket engine is extremely high. Therefore, pouring production with high reliability is very important. The pouring of three engines of solid propellant [...] Read more.
Pouring is an important process in the production of solid propellant rocket engines, and usually, the cost of a solid propellant rocket engine is extremely high. Therefore, pouring production with high reliability is very important. The pouring of three engines of solid propellant rocket engines simultaneously can greatly improve its production efficiency. However, it makes the system more complex and redundant. For a multi-state system, it is difficult to make an accurate evaluation of system reliability. Aiming at the redundancy of multiple engines and acousto-optic combined control in the three-engine simultaneously slurry pouring alarm control system with dissimilar redundant alarm units, a reliability analysis method is proposed based on the combination of Failure Mode Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The control system is divided into several redundant states according to the alarm function, and then the Bayesian Networks method is used for reliability evaluation and calculation. Finally, the reliabilities of systems with dissimilar redundancy degrees are obtained. The tangible results of this research work are as follows: (1) The research results obtained by applying the FMEA method laid a foundation for the establishment of a fault trees model for analyzing the reliability of the control system using the FTA method, in addition, which can guide the maintenance and fault identification of the control system during engineering application. (2) The calculated value of the reliability of the control system is 0.999989, and the mean time between failures is MTBF is 5 × 104 by using the fault tree analysis method, which proves that the designed three-engine simultaneous pouring system is very reliable. (3) Based on the calculation and comparison of the Bayesian Networks of redundant three-engine pouring control systems, the circuit diagram of the improved control system is identified. Full article
(This article belongs to the Special Issue Electromechanical Equipment Structure and Fatigue Reliability: Advances in Modeling and Testing)
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