Hysteresis dynamic model of metal rubber based on higher-order nonlinear friction (HNF)

Zhou, Chunhui; Ren, Zhiying; Lin, Youxi; Zihao, Huang; Shi, Linwei; Yu, Yang; Mo, Jiliang

doi:10.1016/j.ymssp.2023.110117

Cited by 50 publications

(15 citation statements)

References 14 publications

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“…Last, as the field matures, standardization in terms of material characterization, testing methodologies, and quality control will be vital to ensure the reliability and reproducibility of printed CP components. Various molecular and mechanical characterization techniques used conventionally are therefore critical in studying the 3D printed structures. − In essence, the future of AM of CPs is marked by innovation, interdisciplinary collaboration, and a commitment to addressing both scientific and technological challenges, paving the way for transformative applications in various industries.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Electrically Conductive Polymers for Additive Manufacturing

Yan,

Han,

Jiang

et al. 2024

ACS Appl. Mater. Interfaces

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The use of electrically conductive polymers (CPs) in the development of electronic devices has attracted significant interest due to their unique intrinsic properties, which result from the synergistic combination of physicochemical properties in conventional polymers with the electronic properties of metals or semiconductors. Most conventional methods adopted for the fabrication of devices with nonplanar morphologies are still challenged by the poor ionic/electronic mobility of end products. Additive manufacturing (AM) brings about exciting prospects to the realm of CPs by enabling greater design freedom, more elaborate structures, quicker prototyping, relatively low cost, and more environmentally friendly electronic device creation. A growing variety of AM technologies are becoming available for three-dimensional (3D) printing of conductive devices, i.e., vat photopolymerization (VP), material extrusion (ME), powder bed fusion (PBF), material jetting (MJ), and lamination object manufacturing (LOM). In this review, we provide an overview of the recent research progress in the area of CPs developed for AM, which advances the design and development of future electronic devices. We consider different AM techniques, vis-a-vis, their development progress and respective challenges in printing CPs. We also discuss the material requirements and notable advances in 3D printing of CPs, as well as their potential electronic applications including wearable electronics, sensors, energy storage and conversion devices, etc. This review concludes with an outlook on AM of CPs.

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Section: Conclusion and Prospectsmentioning

confidence: 99%

Electrically Conductive Polymers for Additive Manufacturing

Yan,

Han,

Jiang

et al. 2024

ACS Appl. Mater. Interfaces

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“…In recent years, researchers have made significant progress in constructing 3D local models based on representative microstructural elements of EDMMR, such as helical spring models, [13,14] variable-length curved beam models, [15] and cantilever curved beam models. [16] For instance, Ren et al [13] developed a constitutive model for EDMMR by incorporating macroscopic and microscopic structural parameters based on the combined probability distribution of microspring elements.…”

Section: Doi: 101002/adem202301183mentioning

confidence: 99%

Stiffness Constitutive Characteristics of Elastic Disordered Microporous Metal Rubber Considering Temperature Effects

Wang,

Ren,

Shi

et al. 2023

Adv Eng Mater

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Elastic Disordered Microcellular Metal Rubber (EDMMR) is a lightweight metal material widely employed for damping or support in high‐temperature environments, addressing the limitations of traditional polymer rubbers. In this study, three sets of solid finite element models of EDMMR with different relative densities were developed using Virtual Manufacturing Technology (VMT). Thermal‐mechanical coupled finite element simulations explored the dynamic evolution of two typical spatial topological structures in the material’s microstructure: unit contact characteristics and angle distribution under temperature variations. Results indicate that the mechanical performance of the material under high‐temperature loads exhibits distinct spatial topological structures compared to those at room temperature. At 100°C, 200°C, and 300°C, the material experiences internal stress distributions of up to 0.5 MPa, 1.2 MPa, and 1.8 MPa, respectively, due to expansion. Additionally, during the initial loading stage, stress differentials of approximately 0.4 MPa are observed between different temperatures due to boundary effects. Furthermore, the study investigates the probability density distribution of typical microstructural combinations of EDMMR along the forming direction based on VMT, enhancing the generality of the constitutive model. Finally, three groups of EDMMR samples with different relative densities were prepared using standardized processes, and the model was validated through high‐temperature quasi‐static compression experiments.This article is protected by copyright. All rights reserved.

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“…A novel high-order nonlinear friction model with spatial distribution features was developed for magnetorheological materials. Three magnetorheological material types were used to develop and validate the hysteresis dynamic model, which included nonlinear forces and demonstrated a high signal-to-noise ratio and outstanding prediction accuracy . To obtain desired material qualities while reducing production costs, ML algorithms may improve the manufacturing process of FRECs by altering factors such as curing time, temperature, and pressure .…”

Section: Introductionmentioning

confidence: 99%

Plain-Woven Areca Sheath Fiber-Reinforced Epoxy Composites: The Influence of the Fiber Fraction on Physical and Mechanical Features and Responses of the Tribo System and Machine Learning Modeling

Subramanyam,

Kotikula,

Bennehalli

et al. 2024

ACS Omega

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Recent studies focus on enhancing the mechanical features of natural fiber composites to replace synthetic fibers that are highly useful in the building, automotive, and packing industries. The novelty of the work is that the woven areca sheath fiber (ASF) with different fiber fraction epoxy composites has been fabricated and tested for its tribological responses on three-body abrasion wear testing machines along with its mechanical features. The impact of the fiber fraction on various features is examined. The study also revolves around the development and validation of a machine learning predictive model using the random forest (RF) algorithm, aimed at forecasting two critical performance parameters: the specific wear rate (SWR) and the coefficient of friction (COF). The void fraction is observed to vary between 0.261 and 3.8% as the fiber fraction is incremented. The hardness of the mat rises progressively from 40.23 to 84.26 HRB. A fair ascent in the tensile strength and its modulus is also observed. Even though a short descent in flexural strength and its modulus is seen for 0 to 12 wt % composite specimens, they incrementally raised to the finest values of 52.84 and 2860 MPa, respectively, pertinent to the 48 wt % fiber-loaded specimen. A progressive rise in the ILSS and impact strength is perceptible. The wear behavior of the specimens is reported. The worn surface morphology is studied to understand the interface of the ASF with the epoxy matrix. The RF model exhibited outstanding predictive prowess, as evidenced by high R-squared values coupled with low mean-square error and mean absolute error metrics. Rigorous statistical validation employing paired t tests confirmed the model's suitability, revealing no significant disparities between predicted and actual values for both the SWR and COF.

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Hysteresis dynamic model of metal rubber based on higher-order nonlinear friction (HNF)

Cited by 50 publications

References 14 publications

Electrically Conductive Polymers for Additive Manufacturing

Electrically Conductive Polymers for Additive Manufacturing

Stiffness Constitutive Characteristics of Elastic Disordered Microporous Metal Rubber Considering Temperature Effects

Plain-Woven Areca Sheath Fiber-Reinforced Epoxy Composites: The Influence of the Fiber Fraction on Physical and Mechanical Features and Responses of the Tribo System and Machine Learning Modeling

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