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Applied Sciences
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Mechanical Engineering Reliability Optimization Design
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Mechanical Engineering Reliability Optimization Design

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

Deadline for manuscript submissions: 30 September 2025 | Viewed by 3802

Special Issue Editors

Dr. Mengchuang Zhang

E-Mail Website
Guest Editor
School of Civil Aviation, Northwestern Polytechnical University, Xi’an 710072, China
Interests: reliability-based multidisciplinary optimization
Dr. Shaohua Liu

E-Mail Website
Guest Editor
School of Civil Aviation, Northwestern Polytechnical University, Xi’an 710072, China
Interests: high-performance structural materials; performance characterization; strengthening and toughening mechanism research and failure analysis

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Special Issue titled “Mechanical Engineering Reliability Optimization Design”.

This Special Issue aims to advance the structural reliability and robustness of critical mechanical systems through sophisticated optimization methodologies, including probabilistic design, life-cycle cost analysis, fault detection, and AI-based reliability optimization assessments. We are particularly interested in research focused on the reliability optimization of aerospace engines, aircraft structures, automotive design, and other high-stakes mechanical systems. We encourage contributions that present theoretical advancements, detailed experimental investigations, and practical applications in the field of structural reliability optimization.

Dr. Mengchuang Zhang
Dr. Shaohua Liu
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 optimization
  • probabilistic design
  • life-cycle cost analysis
  • fault detection
  • ai-based assessments
  • aerospace engines
  • aircraft structures
  • automotive design

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

Published Papers (4 papers)

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Research

15 pages, 7396 KiB  
Article
Two-Dimensional Topology Optimization of Headtube in Electric Scooter Considering Multiple Loads
by Min Gyu Kim, Jun Won Choi and Jung Jin Kim
Appl. Sci. 2025, 15(5), 2829; https://doi.org/10.3390/app15052829 - 5 Mar 2025
Viewed by 590
Abstract
The safety and structural integrity of electric scooters have gained considerable attention owing to their increasing use in personal mobility and the associated accident rates. This study applied topology optimization to the headtube of an electric scooter, which is a critical component susceptible [...] Read more.
The safety and structural integrity of electric scooters have gained considerable attention owing to their increasing use in personal mobility and the associated accident rates. This study applied topology optimization to the headtube of an electric scooter, which is a critical component susceptible to structural failure under diverse load conditions. A finite element model was developed to simulate the behavior of the headtube under 16 single-load conditions, followed by optimization for multiple loads. The optimized design demonstrated an enhanced material distribution, balancing the lightweight construction and structural robustness. Collision performance analysis revealed an improvement of at least 51% in the strain energy distribution compared with that of existing commercial models. These results underscore the potential efficacy of topology optimization in enhancing the safety and reliability of personal mobility devices. Moreover, topology optimization can provide a systematic framework for designing critical structural components. Full article
(This article belongs to the Special Issue Mechanical Engineering Reliability Optimization Design)
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15 pages, 5740 KiB  
Article
Study on the Dynamic Optimization and Design of a Flexible Rotationally Symmetric Tangential Support Plate Base
by Yisheng Tao, Gulbahar Tohti, Hualong He and Mamtimin Geni
Appl. Sci. 2025, 15(5), 2554; https://doi.org/10.3390/app15052554 - 27 Feb 2025
Viewed by 268
Abstract
The flexible rotationally symmetric struts support (RSS) is a key element for the stable operation of the M701F heavy-duty gas turbine. However, the flexible RSS base–rotor system may experience significant vibration instability issues during high-speed operation. In engineering practice, experimental rigs are commonly [...] Read more.
The flexible rotationally symmetric struts support (RSS) is a key element for the stable operation of the M701F heavy-duty gas turbine. However, the flexible RSS base–rotor system may experience significant vibration instability issues during high-speed operation. In engineering practice, experimental rigs are commonly built based on simplified dynamic models of the entire system. A compact, flexible RSS base may effectively resolve this issue. First, we developed the dynamic model of the RSS base, followed by static analysis using software simulation to determine the deformation and stress distribution of the RSS base. Modal analysis was then carried out to obtain the natural frequencies and mode shapes. The optimization of the tangential support plates was carried out using an equivalent static load model. Harmonic response analysis was then performed to assess the dynamic response in a specific frequency range. Experimental modal validation was conducted at the end, confirming that the critical frequency of the optimized base moved away from the operating frequency, effectively preventing resonance. The accuracy of the optimization model was also validated. These findings offer valuable insights for the vibration characteristic analysis of this type of gas turbine base. Full article
(This article belongs to the Special Issue Mechanical Engineering Reliability Optimization Design)
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13 pages, 4905 KiB  
Article
Optimisation of Box Girder Design of Overhead Cranes
by Jozef Kulka, Martin Mantič, Robert Grega, Marián Siman, Melichar Kopas and Silvia Maláková
Appl. Sci. 2024, 14(21), 9926; https://doi.org/10.3390/app14219926 - 30 Oct 2024
Cited by 2 | Viewed by 1346
Abstract
The subject of the research presented in this article is the dimensional optimisation of the box structure of the main girder for overhead cranes, with the aim to reduce the main girder’s own weight. Described are the applied optimisation methods and also the [...] Read more.
The subject of the research presented in this article is the dimensional optimisation of the box structure of the main girder for overhead cranes, with the aim to reduce the main girder’s own weight. Described are the applied optimisation methods and also the problems arising during the optimisation process. Loss of shape stability is analysed in more detail, as well as the methods determined for a constructional proposal of the girder cross-section. The developed optimisation procedure is a combination of the calculations, performed in the MS Excel environment, with the simulation of a parametrically modelled girder realised using Dassault Systèmes SolidWorks software v. 2023. Using the example of optimisation of an overhead crane girder with a lifting capacity of 50 tons, the effectiveness of the proposed optimisation procedure is declared, where the existing overhead crane box girder is compared with the optimised cross-section of the box girder. Full article
(This article belongs to the Special Issue Mechanical Engineering Reliability Optimization Design)
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14 pages, 2471 KiB  
Article
Multi-Objective Optimal Control Method for the 6-DOF Robotic Crusher
by Guochen Duan, Lele Yao, Zhanyu Zhan, Tao Kang and Chaoyue Guo
Appl. Sci. 2024, 14(20), 9397; https://doi.org/10.3390/app14209397 - 15 Oct 2024
Cited by 1 | Viewed by 879
Abstract
In order to achieve the best crushing effect of the 6-DOF robotic crusher, a multi-objective optimal control method for the 6-DOF robotic crusher has been proposed. Taking the mass fraction of crushed products below 12 mm, total energy consumption, effective energy consumption, output, [...] Read more.
In order to achieve the best crushing effect of the 6-DOF robotic crusher, a multi-objective optimal control method for the 6-DOF robotic crusher has been proposed. Taking the mass fraction of crushed products below 12 mm, total energy consumption, effective energy consumption, output, and wear as the working indexes, and taking the suspension point, precession angle, and swing frequency of the mantle as the working conditions of the crusher, the working indexes under different working conditions are calculated. And, based on the above parameters, the optimization objective function of the 6-DOF robotic crusher is obtained. The weight determination method of fuzzy multiple attributes decision making (FMADM) is used to determine the equivalent wear and the optimization target weight. Compared with the original scheme, the output increases and the energy consumption decreases significantly. The results can be used as a reference for the control strategy of the 6-DOF robotic crusher. It can also be used as a reference for the design of a traditional cone crusher. Full article
(This article belongs to the Special Issue Mechanical Engineering Reliability Optimization Design)
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