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Keywords = chainmail

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21 pages, 7824 KB  
Article
Jamming Mechanism with Constrictional Chainmail Structures for Robotic Leg Mechanisms Under Uneven Terrain Contact
by Sae Yamaguchi and Toshitake Tateno
Actuators 2026, 15(2), 88; https://doi.org/10.3390/act15020088 - 2 Feb 2026
Viewed by 409
Abstract
Legged robots exhibit high mobility on uneven terrain but face challenges in stability, complex control systems, and energy efficiency. This study proposes a leg mechanism that significantly alters its stiffness by inducing jamming in a chainmail structure through only gravity-induced compression. To evaluate [...] Read more.
Legged robots exhibit high mobility on uneven terrain but face challenges in stability, complex control systems, and energy efficiency. This study proposes a leg mechanism that significantly alters its stiffness by inducing jamming in a chainmail structure through only gravity-induced compression. To evaluate the fundamental characteristics of the proposed mechanism, experiments were conducted to identify the jamming point and to assess stiffness in the jammed state. The results confirmed that the force required to trigger jamming increases proportionally with the mass applied from above, which demonstrates properties similar to friction between solid materials. Furthermore, the stiffness in the jammed state is strongly correlated with the contact points within the structure. These results prove the effectiveness of the proposed passive leg mechanism for stiffness switching. In a case study assuming landing on uneven terrain, the mechanism could be fixed in any orientation based on the designed compressive force. Full article
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16 pages, 7496 KB  
Review
Encapsulating Transition Metal Nanoparticles inside Carbon (TM@C) Chainmail Catalysts for Hydrogen Evolution Reactions: A Review
by Jiamin Zhao, Meimei Kou, Qing Yuan, Ying Yuan and Jinsheng Zhao
Molecules 2024, 29(19), 4677; https://doi.org/10.3390/molecules29194677 - 2 Oct 2024
Cited by 2 | Viewed by 2601
Abstract
Green hydrogen energy from electrocatalytic hydrogen evolution reactions (HERs) has gained much attention for its advantages of low carbon, high efficiency, interconnected energy medium, safety, and controllability. Non-precious metals have emerged as a research hotspot for replacing precious metal catalysts due to low [...] Read more.
Green hydrogen energy from electrocatalytic hydrogen evolution reactions (HERs) has gained much attention for its advantages of low carbon, high efficiency, interconnected energy medium, safety, and controllability. Non-precious metals have emerged as a research hotspot for replacing precious metal catalysts due to low cost and abundant reserves. However, maintaining the stability of non-precious metals under harsh conditions (e.g., strongly acidic, alkaline environments) remains a significant challenge. By leveraging the curling properties of two-dimensional materials, a new class of catalysts, encapsulating transition metal nanoparticles inside carbon (TM@C) chainmail, has been successfully developed. This catalyst can effectively isolate the active metal from direct contact with harsh reaction media, thereby delaying catalyst deactivation. Furthermore, the electronic structure of the carbon layer can be regulated through the transfer of electrons, which stimulates its catalytic activity. This addresses the issue of the insufficient stability of traditional non-precious metal catalysts. This review commences with a synopsis of the synthetic advancement of the engineering of TM@C chainmail catalysts. Thereafter, a critical discussion ensues regarding the electrocatalytic performance of TM@C chainmail catalysts during hydrogen production. Ultimately, a comprehensive review of the conformational relationship between the structure of TM@C chainmail catalysts and HER activity is provided, offering substantial support for the large-scale application of hydrogen energy. Full article
(This article belongs to the Special Issue Advanced Materials for Energy Conversion and Water Sustainability)
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19 pages, 4016 KB  
Article
Effect of Knife Use and Overlapping Gloves on Finger Temperature of Poultry Slaughterhouse Workers
by Adriana Seára Tirloni, Diogo Cunha dos Reis and Antônio Renato Pereira Moro
Int. J. Environ. Res. Public Health 2024, 21(10), 1314; https://doi.org/10.3390/ijerph21101314 - 1 Oct 2024
Cited by 1 | Viewed by 2368
Abstract
Brazilian poultry slaughterhouses employ many workers, consequently exposing them to various ergonomic risks. This study aimed to analyze the effects of knife use and overlapping gloves on the finger temperatures of poultry slaughterhouse workers. Employees (n = 571) from seven Brazilian poultry [...] Read more.
Brazilian poultry slaughterhouses employ many workers, consequently exposing them to various ergonomic risks. This study aimed to analyze the effects of knife use and overlapping gloves on the finger temperatures of poultry slaughterhouse workers. Employees (n = 571) from seven Brazilian poultry slaughterhouses participated in this cross-sectional study. A Flir® T450SC infrared camera was used to record thermographic images of the workers’ hands. The workers were interviewed about work organization, cold thermal sensations, and the perception of upper-limb musculoskeletal discomfort. Dependent and independent sample t-tests and binary logistic regression models were applied. The results proved that the workers wore up to five overlapping gloves and had at least one finger with temperatures of ≤15 °C (46.6%) or ≤24 °C (98.1%). Workers that used a knife and wore a chainmail (CM) glove on their non-dominant hand had average finger temperatures significantly colder on the palmar surface than the anti-cut (AC) glove group (p = 0.029). The chance of one worker who wore a CM glove to have finger temperatures of ≤15 °C was 2.26 times greater than a worker who wore an AC glove. Those who wore an AC glove and those wearing a CM glove presented average overall finger temperatures significantly lower on the non-dominant hand (products) than the dominant hand (knife) (p < 0.001). Full article
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18 pages, 7046 KB  
Article
Personalization of the 3D-Printed Upper Limb Exoskeleton Design—Mechanical and IT Aspects
by Dariusz Mikołajewski, Izabela Rojek, Piotr Kotlarz, Janusz Dorożyński and Jakub Kopowski
Appl. Sci. 2023, 13(12), 7236; https://doi.org/10.3390/app13127236 - 17 Jun 2023
Cited by 8 | Viewed by 3786
Abstract
The human hand is the most precise and versatile tool that nature has given man, and any deficits in this area affect the functional capabilities and quality of human life. Scientists, engineers and clinicians are constantly looking for solutions in the field of [...] Read more.
The human hand is the most precise and versatile tool that nature has given man, and any deficits in this area affect the functional capabilities and quality of human life. Scientists, engineers and clinicians are constantly looking for solutions in the field of diagnosis, treatment, rehabilitation and care of patients with hand function deficits. One such solution is a hand exoskeleton. In the process of designing and testing the hand exoskeleton, emphasis should be placed on the full usability and comfort of the system; hence, the issues of personalization, matching and testing are crucial for the development of the discussed group of solutions. The aim of this paper is to present the possibilities of personalizing 3D-printed medical devicesbased on our own experience in functional user assessment andthe material selection, design, optimization using artificial intelligence and production and testing of several generations of different upper limb exoskeletons, incorporatingthe considerations of the Medical Device Regulation (MDR), ISO 13485 and ISO 10993 standards.The novelty and possible contribution of the proposed approach consist of the possibilities and limitations of the personalization of the upper limb exoskeleton discussed in the article as well as the directions of further development of significant scientific, technical and clinical importance. Full article
(This article belongs to the Special Issue 3D Printing and Biomaterials for Biomedical Application)
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22 pages, 7627 KB  
Review
Stab-Resistant Polymers—Recent Developments in Materials and Structures
by Niklas Panneke and Andrea Ehrmann
Polymers 2023, 15(4), 983; https://doi.org/10.3390/polym15040983 - 16 Feb 2023
Cited by 21 | Viewed by 6665
Abstract
Stab-resistant garments have been used for centuries, utilizing metals, paper, or polymeric structures, often inspired by natural structures such as scales. Nowadays, stab-resistant vests or vest inserts are used by police and security personnel, but also by bus drivers, ambulance officers, and other [...] Read more.
Stab-resistant garments have been used for centuries, utilizing metals, paper, or polymeric structures, often inspired by natural structures such as scales. Nowadays, stab-resistant vests or vest inserts are used by police and security personnel, but also by bus drivers, ambulance officers, and other people who are empirically often attacked on duty. Since stab protection garments are often heavy and thus uncomfortable and not well accepted, whether in the form of chain-mail or metal inserts in protective vests, researchers are striving to find lightweight, drapable alternatives, often based on polymeric materials. These research attempts have recently focused on textile fabrics, mostly with impregnation by shear-thickening fluids (STFs) or ceramic coatings, as well as on lightweight composites. The first studies on 3D printed polymeric objects with tailored shapes, as well as theoretical investigations of the stab-protective effect of different materials, have been published throughout the last years. Here, we discuss different measurement methods, including dynamic and quasistatic methods, and correlations of stab-resistance with other physical properties, before we give an overview of recent developments of stab-resistant polymers, using different materials/material combinations and structures. Full article
(This article belongs to the Special Issue Mechanical Behavior of Polymeric Materials: Recent Study)
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15 pages, 2844 KB  
Article
Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton
by Izabela Rojek, Jakub Kopowski, Piotr Kotlarz, Janusz Dorożyński, Ewa Dostatni and Dariusz Mikołajewski
Appl. Sci. 2022, 12(16), 8106; https://doi.org/10.3390/app12168106 - 12 Aug 2022
Cited by 9 | Viewed by 2820
Abstract
The aim of this paper is to refine a scientific solution to the problem of automated or semi-automated efficient and practical design of 3D printed chainmails of exoskeletons with pre-programmed properties (variable stiffness/flexibility depending on direction) reflecting individual user needs, including different types [...] Read more.
The aim of this paper is to refine a scientific solution to the problem of automated or semi-automated efficient and practical design of 3D printed chainmails of exoskeletons with pre-programmed properties (variable stiffness/flexibility depending on direction) reflecting individual user needs, including different types and degrees of deficit. We demonstrate this with the example of using chainmail in a hand exoskeleton, where 3D printed chainmail components can be arranged in a single-layer structure with adjustable one- or two-way bending modulus. The novelty of the proposed approach consists in combining the use of real data from research on the exoskeleton of the hand, new methods of their analysis using deep neural networks, with a clear and scalable design of a 3D printed fabric product that can be personalized (mechanical parameters such as stiffness and bend angles in various directions) to the needs and goals of therapy in a particular patient. So far, this approach is unique, having no equivalent in the literature. This paves the way for a wider implementation of adaptive chainmails based on machine learning, more efficient for more complex chainmail designs. Full article
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20 pages, 7354 KB  
Article
A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton
by Jakub Kopowski, Dariusz Mikołajewski, Piotr Kotlarz, Ewa Dostatni and Izabela Rojek
Appl. Sci. 2022, 12(10), 5007; https://doi.org/10.3390/app12105007 - 16 May 2022
Cited by 9 | Viewed by 3833
Abstract
The problem of computerising the design and development of 3D-printed chainmail with programmed directional functions provides a basis for further research, including the automation of medical devices. The scope of the present research was focused on computational optimisation of the selection of materials [...] Read more.
The problem of computerising the design and development of 3D-printed chainmail with programmed directional functions provides a basis for further research, including the automation of medical devices. The scope of the present research was focused on computational optimisation of the selection of materials and shapes for 3D printing, including the design of medical devices, which constitutes a significant scientific, technical, and clinical problem. The aim of this article was to solve the scientific problem of automated or semi-automated efficient and practical design of 3D-printed chainmail with programmed directional functions (variable stiffness/elasticity depending on the direction). We demonstrate for the first time that 3D-printed particles can be arranged into single-layer chainmail with a tunable one- or two-directional bending modulus for use in a medical hand exoskeleton. In the present work, we accomplished this in two ways: based on traditional programming and based on machine learning. This paper presents the novel results of our research, including 3D printouts, providing routes toward the wider implementation of adaptive chainmails. Our research resulted in an automated or semi-automated efficient and practical 3D printed chainmail design with programmed directional functions for a wrist exoskeleton with variable stiffness/flexibility, depending on the direction. We also compared two methodologies of planning and construction: the use of traditional software and machine-learning-based software, with the latter being more efficient for more complex chainmail designs. Full article
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