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Coatings
Special Issues
Mechanical Automation Design and Intelligent Manufacturing
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Mechanical Automation Design and Intelligent Manufacturing

A special issue of Coatings (ISSN 2079-6412).

Deadline for manuscript submissions: 15 January 2025 | Viewed by 1633

Special Issue Editors

Prof. Dr. Dan Zhang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: synthesis and optimization of manipulator mechanisms; generalized parallel mechanisms research; reconfigurable robots
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhongbin Wang

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China
Interests: intelligent mining electromechanical equipment; manufacturing system integration technology; complex environment robot technology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Wei Tang

E-Mail Website
Guest Editor
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: special robot technology; brain controlled robot technology; intelligent cutting of mining equipment; friction and lubrication theory and technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A lot of scientists, engineers, and researchers are interested in Mechanical Engineering and Automation Science. It is the main motivation for this issue. Authors are welcome to submit papers in the following fields, such as mechanical design and method, digital design and topology optimization,  functional surface interface technology, mechanical system dynamics and fault diagnosis techniques, advanced manufacturing method, collaborative robots and industrial robots, artificial intelligence technology, soft actuation and sensing, theory and application of multi-body dynamics, unmanned system design and application, automation science and technology, system recognition theory, networked system, intelligent measurement technology, analysis and synthesis of complex systems, etc. We believe that the issue will provide a wonderful chance for authors to promote their latest scientific research achievements and update the knowledge base of this research field. 

You may choose our Joint Special Issue in  Machines.

Prof. Dr. Dan Zhang
Prof. Dr. Zhongbin Wang
Prof. Dr. Wei Tang
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. Coatings 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 2600 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

  • mechanical design
  • advanced manufacturing
  • robots
  • mechanical system dynamics
  • fault diagnosis
  • unmanned system
  • automation science

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

Published Papers (3 papers)

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Research

22 pages, 493 KiB  
Article
Optimization of Weight Reduction in Power Transmission Systems Using Bio-Inspired Algorithms and Composite Materials
by Miguel Angel Rodriguez-Cabal, Vanessa Botero-Gómez and Daniel Sanin-Villa
Coatings 2024, 14(12), 1586; https://doi.org/10.3390/coatings14121586 - 18 Dec 2024
Viewed by 299
Abstract
Traditional optimization approaches for power transmission systems often optimize gear and shaft designs separately, rely on conventional materials, and face challenges handling mixed-variable problems involving discrete and continuous variables. These limitations hinder the potential for significant weight reduction and performance improvements in modern [...] Read more.
Traditional optimization approaches for power transmission systems often optimize gear and shaft designs separately, rely on conventional materials, and face challenges handling mixed-variable problems involving discrete and continuous variables. These limitations hinder the potential for significant weight reduction and performance improvements in modern mechanical systems. This research presents an innovative optimization approach for reducing the gear pitch in a power transmission system comprising a shaft with two gears. By employing bio-inspired metaheuristic algorithms and utilizing materials common in additive manufacturing and composite materials, the study aims to minimize system weight while ensuring mechanical integrity. The optimization integrates gear and shaft design variables, accurately models mechanical constraints through penalty functions, and leverages the unique properties of advanced materials to enhance performance. In this work, we developed an integrated optimization model that overcomes the limitations of previous studies by combining advanced materials with bio-inspired algorithms to achieve significant weight reduction in gear systems. This approach effectively addresses the complexities of mixed-variable optimization and mechanical constraints, providing a practical and innovative solution for modern engineering applications. Full article
(This article belongs to the Special Issue Mechanical Automation Design and Intelligent Manufacturing)
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14 pages, 5762 KiB  
Article
Tribological Performance of Nano-CeO2/BNH2 Compound Lubricant Additive
by Yuqin Zhu, Jia Liu, Liang Li, Weikang Sun, Wei Tang and Lei Wang
Coatings 2024, 14(12), 1572; https://doi.org/10.3390/coatings14121572 - 16 Dec 2024
Viewed by 443
Abstract
To improve lubricant performance and extend the service life of machinery, the friction reduction and anti-wear performance of nano-cerium oxide (nano-CeO2) and nitrogen-containing heterocyclic borate (BNH2) composite additives were studied in this work, with the goal of obtaining better lubrication effects [...] Read more.
To improve lubricant performance and extend the service life of machinery, the friction reduction and anti-wear performance of nano-cerium oxide (nano-CeO2) and nitrogen-containing heterocyclic borate (BNH2) composite additives were studied in this work, with the goal of obtaining better lubrication effects than a single additive. The results showed that the nano-CeO2 modified with Span80 had good dispersion stability in the base oil. The optimal addition mass fractions of single nano-CeO2 and BNH2 were 0.6 wt% and 1.0 wt%, respectively. Compared with the base oil, 0.6 wt% nano-CeO2 reduced the coefficient of friction by 44.9% and the wear spot diameter by 27.8%, while 1.0 wt% BNH2 reduced the coefficient of friction by 49.1% and the wear spot diameter by 32.8%. Compared with the single additions of nano-CeO2 and BNH2, the compound nano-CeO2/BNH2 further improved the friction reduction and anti-wear performance of the lubricating oil. Compared with the base oil, the 0.8 wt% nano-CeO2/1.0 wt% BNH2 composite additive reduced the coefficient of friction by 55.9% and the diameter of the abrasive spot by 48%. Physicochemical analysis of the wear surface revealed that the combination of nano-CeO2 and BNH2 had excellent synergistic effects. The generated lubricant films of nano-CeO2/BNH2 contained a chemical reactive layer of organic nitride (C–N), Fe2O3, FeO, and B2O3 and a physical adsorbent layer of CeO2 that provided great friction reduction and anti-wear effects during friction. Full article
(This article belongs to the Special Issue Mechanical Automation Design and Intelligent Manufacturing)
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17 pages, 20539 KiB  
Article
Evaluation of Bonding Strength of Pipeline Coating Based on Circumferential Guided Waves
by Yunxiu Ma, Xiaoran Ding, Aocheng Wang, Gang Liu and Lei Chen
Coatings 2024, 14(12), 1526; https://doi.org/10.3390/coatings14121526 - 3 Dec 2024
Viewed by 555
Abstract
The anti-corrosion layer of the pipe provides corrosion resistance and extends the lifespan of the whole pipeline. Heat-shrinkable tape is primarily used as the pipeline joint coating material bonded to the pipeline weld connection position after heating. Delineating the bonding strength and assessing [...] Read more.
The anti-corrosion layer of the pipe provides corrosion resistance and extends the lifespan of the whole pipeline. Heat-shrinkable tape is primarily used as the pipeline joint coating material bonded to the pipeline weld connection position after heating. Delineating the bonding strength and assessing the quality of the bonded structure is crucial for pipeline safety. A detection technology based on nonlinear ultrasound is presented to quantitatively evaluate the bonding strength of a steel-EVA-polyethylene three-layer annulus bonding structure. Using the Floquet boundary condition, the dispersion curves of phase velocity and group velocity for a three-layer annulus bonding structure are obtained. Additionally, wave structure analysis is employed in theoretical study to choose guided wave modes that are appropriate for detection. In this paper, guided wave amplitude, frequency attenuation, and nonlinear harmonics are used to evaluate the structural bonding strength. The results reveal that the detection method based on amplitude and frequency attenuation can be used to preliminarily screen the poor bonding, while the acoustic nonlinear coefficient is sensitive to bonding strength changes. This study introduces a comprehensive and precise pipeline joint bonding strength detection system leveraging ultrasonic-guided wave technology for pipeline coating applications. The detection system determines the bonding strength of bonded structures with greater precision than conventional ultrasonic inspection methods. Full article
(This article belongs to the Special Issue Mechanical Automation Design and Intelligent Manufacturing)
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