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Symmetry
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Symmetry in the Mechanical Behavior of Materials
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Symmetry in the Mechanical Behavior of Materials

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 3506

Special Issue Editor

Prof. Dr. Kun Song

E-Mail Website
Guest Editor
School of Mechanical and Power Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing 211816, China
Interests: effective properties of composites and thermal stress of functional materials

Special Issue Information

Dear Colleagues,

Symmetry is an inherent property in most natural and man-made materials which contributes to aerospace, naval, and automobile industries by constructing balanced mechanical systems. With the development of advanced functional materials, symmetry not only exists in the elastic–plastic stress distribution, but also in the coupling process of multi-physics, which proposes higher requirements for the research and design of mechanical properties. The goal of this Special Issue, entitled "Symmetry in Mechanical Behavior of Materials", is to report research on the mechanical behavior of advanced materials and to reveal data on symmetry mechanisms. Topics in this study may include (but are not limited to) advanced material mechanics, intelligent structural mechanics, multi-physics coupling, mechanical metamaterial, smart material structures, and related symmetry and properties. 

Prof. Dr. Kun Song
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. Symmetry 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 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

  • mechanical behavior
  • advanced material
  • multi-field coupling
  • metamaterial
  • structure design

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Published Papers (2 papers)

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Research

11 pages, 2816 KiB  
Article
Energy Efficiency Measurement of Mechanical Crushing Based on Non-Contact Identification Method
by Xiaoquan Lu, Meimei Duan, Huiling Su, Bo Li and Ying Liu
Symmetry 2024, 16(7), 810; https://doi.org/10.3390/sym16070810 - 28 Jun 2024
Viewed by 1515
Abstract
The efficiency of mechanical crushing is a key metric for evaluating machinery performance. However, traditional contact-based methods for measuring this efficiency are unable to provide real-time data monitoring and can potentially disrupt the production process. In this paper, we introduce a non-contact measurement [...] Read more.
The efficiency of mechanical crushing is a key metric for evaluating machinery performance. However, traditional contact-based methods for measuring this efficiency are unable to provide real-time data monitoring and can potentially disrupt the production process. In this paper, we introduce a non-contact measurement technique for mechanical crushing efficiency based on deep learning algorithms. This technique utilizes close-range imaging equipment to capture images of crushed particles and employs deeply trained algorithmic programs rooted in symmetrical logical structures to extract statistical data on particle size. Additionally, we establish a relationship between particle size and crushing energy through experimental analysis, enabling the calculation of crushing efficiency data. Taking cement crushing equipment as an example, we apply this non-contact measurement technique to inspect cement particles of different sizes. Using deep learning algorithms, we automatically categorize and summarize the particle size ranges of cement particles. The results demonstrate that the crushing efficiencies of ore crushing particles, raw material crushing particles, and cement crushing particles can respectively reach 80.7%, 70.15%, and 80.27%, which exhibit a high degree of consistency with the rated value of the samples. The method proposed in this paper holds significant importance for energy efficiency monitoring in industries that require mechanical crushing. Full article
(This article belongs to the Special Issue Symmetry in the Mechanical Behavior of Materials)
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17 pages, 7600 KiB  
Article
Determining the Safest Anchoring Knot in a Fall Arrest System by Means of Static Tests
by Pedro Ignacio Sáez, Elena Ángela Carrión, Belén Ferrer, Encarnación García and Juan Francisco Monge
Symmetry 2024, 16(2), 167; https://doi.org/10.3390/sym16020167 - 31 Jan 2024
Viewed by 1574
Abstract
Today, rope access systems (RASs) and fall arrest systems (FASs) incorporate significant technological innovations. This research aims to determine the safest knot to be used in RASs. The most secure knots are those that leave the most resistance in the rope. Static laboratory [...] Read more.
Today, rope access systems (RASs) and fall arrest systems (FASs) incorporate significant technological innovations. This research aims to determine the safest knot to be used in RASs. The most secure knots are those that leave the most resistance in the rope. Static laboratory tests, followed by an extensive statistical analysis of the obtained data, were carried out under controlled conditions. Five types of anchor knots were selected and studied using three rope models with similar diameters, and we analysed the symmetrical versions in the dextrorotational direction. Thirty break tests were performed for each rope model. The total number of breakage tests was 90. The double overhand knot proved to be the safest knot with an average efficiency of 61.82%. A better understanding of the behaviour of knots and their correct use in FASs will be key to accident prevention. Full article
(This article belongs to the Special Issue Symmetry in the Mechanical Behavior of Materials)
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